diff --git a/.gitattributes b/.gitattributes index f41e91d8..7c0b591b 100644 --- a/.gitattributes +++ b/.gitattributes @@ -15,7 +15,6 @@ LICENSE text *.conf text *.mimetypes text *.sh text eol=lf -components/openvino/eula.cfg text eol=lf *.avi binary *.bmp binary diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS index 4b7ae8b1..32af66a2 100644 --- a/.github/CODEOWNERS +++ b/.github/CODEOWNERS @@ -23,7 +23,7 @@ /datumaro/ @zhiltsov-max /cvat/apps/dataset_manager/ @zhiltsov-max -# Advanced components (e.g. OpenVINO) +# Advanced components (e.g. analytics) /components/ @azhavoro # Infrastructure diff --git a/.gitignore b/.gitignore index c25a1213..cbe91f69 100644 --- a/.gitignore +++ b/.gitignore @@ -7,7 +7,6 @@ /.env /keys /logs -/components/openvino/*.tgz /profiles /ssh/* !/ssh/README.md diff --git a/.pylintrc b/.pylintrc index effa6735..677a3956 100644 --- a/.pylintrc +++ b/.pylintrc @@ -20,7 +20,7 @@ persistent=yes # List of plugins (as comma separated values of python modules names) to load, # usually to register additional checkers. -load-plugins= +load-plugins=pylint_django # Use multiple processes to speed up Pylint. jobs=1 @@ -66,8 +66,8 @@ enable= E0001,E0100,E0101,E0102,E0103,E0104,E0105,E0106,E0107,E0110, W0122,W0124,W0150,W0199,W0221,W0222,W0233,W0404,W0410,W0601, W0602,W0604,W0611,W0612,W0622,W0623,W0702,W0705,W0711,W1300, W1301,W1302,W1303,,W1305,W1306,W1307 - R0102,R0201,R0202,R0203 - + R0102,R0202,R0203 + # Disable the message, report, category or checker with the given id(s). You # can either give multiple identifiers separated by comma (,) or put this diff --git a/.stylelintrc.json b/.stylelintrc.json index 528bc373..4a37e44d 100644 --- a/.stylelintrc.json +++ b/.stylelintrc.json @@ -11,6 +11,10 @@ "selector-type-no-unknown": [true, { "ignoreTypes": ["first-child"] }] - } - + }, + "ignoreFiles": [ + "**/*.js", + "**/*.ts", + "**/*.py" + ] } diff --git a/.travis.yml b/.travis.yml index a8715db3..68533c0d 100644 --- a/.travis.yml +++ b/.travis.yml @@ -5,12 +5,29 @@ language: python python: - "3.5" +cache: + npm: true + directories: + - ~/.cache + +addons: + apt: + packages: + - libgconf-2-4 + services: - docker env: - CONTAINER_COVERAGE_DATA_DIR="/coverage_data" HOST_COVERAGE_DATA_DIR="${TRAVIS_BUILD_DIR}" + DJANGO_SU_NAME="admin" + DJANGO_SU_EMAIL="admin@localhost.company" + DJANGO_SU_PASSWORD="12qwaszx" + NODE_VERSION="12" + +before_install: + - nvm install ${NODE_VERSION} before_script: - docker-compose -f docker-compose.yml -f docker-compose.ci.yml build @@ -20,6 +37,13 @@ script: # FIXME: Git package and application name conflict in PATH and try to leave only one python test execution - docker-compose -f docker-compose.yml -f docker-compose.ci.yml run cvat_ci /bin/bash -c 'coverage run -a manage.py test cvat/apps && coverage run -a manage.py test --pattern="_test*.py" cvat/apps/dataset_manager/tests cvat/apps/engine/tests utils/cli && coverage run -a manage.py test datumaro/ && mv .coverage ${CONTAINER_COVERAGE_DATA_DIR}' - docker-compose -f docker-compose.yml -f docker-compose.ci.yml run cvat_ci /bin/bash -c 'cd cvat-data && npm install && cd ../cvat-core && npm install && npm run test && coveralls-lcov -v -n ./reports/coverage/lcov.info > ${CONTAINER_COVERAGE_DATA_DIR}/coverage.json' + # Up all containers + - docker-compose up -d + # Create superuser + - docker exec -it cvat bash -ic "echo \"from django.contrib.auth.models import User; User.objects.create_superuser('${DJANGO_SU_NAME}', '${DJANGO_SU_EMAIL}', '${DJANGO_SU_PASSWORD}')\" | python3 ~/manage.py shell" + # Install Cypress and run tests + - cd ./tests && npm install + - $(npm bin)/cypress run --headless --browser chrome && cd .. after_success: # https://coveralls-python.readthedocs.io/en/latest/usage/multilang.html diff --git a/.vscode/launch.json b/.vscode/launch.json index 1fefab7f..48bc4583 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -27,7 +27,7 @@ "request": "launch", "stopOnEntry": false, "justMyCode": false, - "pythonPath": "${config:python.pythonPath}", + "pythonPath": "${command:python.interpreterPath}", "program": "${workspaceRoot}/manage.py", "args": [ "runserver", @@ -58,7 +58,7 @@ "request": "launch", "stopOnEntry": false, "justMyCode": false, - "pythonPath": "${config:python.pythonPath}", + "pythonPath": "${command:python.interpreterPath}", "program": "${workspaceRoot}/manage.py", "args": [ "rqworker", @@ -77,7 +77,7 @@ "request": "launch", "stopOnEntry": false, "justMyCode": false, - "pythonPath": "${config:python.pythonPath}", + "pythonPath": "${command:python.interpreterPath}", "program": "${workspaceRoot}/manage.py", "args": [ "rqscheduler", @@ -93,7 +93,7 @@ "request": "launch", "justMyCode": false, "stopOnEntry": false, - "pythonPath": "${config:python.pythonPath}", + "pythonPath":"${command:python.interpreterPath}", "program": "${workspaceRoot}/manage.py", "args": [ "rqworker", @@ -112,7 +112,7 @@ "request": "launch", "justMyCode": false, "stopOnEntry": false, - "pythonPath": "${config:python.pythonPath}", + "pythonPath": "${command:python.interpreterPath}", "program": "${workspaceRoot}/manage.py", "args": [ "update_git_states" @@ -128,7 +128,7 @@ "request": "launch", "justMyCode": false, "stopOnEntry": false, - "pythonPath": "${config:python.pythonPath}", + "pythonPath": "${command:python.interpreterPath}", "program": "${workspaceRoot}/manage.py", "args": [ "migrate" @@ -144,7 +144,7 @@ "request": "launch", "justMyCode": false, "stopOnEntry": false, - "pythonPath": "${config:python.pythonPath}", + "pythonPath": "${command:python.interpreterPath}", "program": "${workspaceRoot}/manage.py", "args": [ "test", diff --git a/CHANGELOG.md b/CHANGELOG.md index a2ae5ce7..8df9cb1c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,14 +4,16 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). -## [1.1.0-beta] - Unreleased +## [1.1.0] - Unreleased ### Added -- Source type support for tags, shapes and tracks () -- Source type support for CVAT Dumper/Loader () -- Intelligent polygon editing () +- Siammask tracker as DL serverless function () +- [Datumaro] Added model info and source info commands () +- [Datumaro] Dataset statistics () +- [Datumaro] Multi-dataset merge (https://github.com/opencv/cvat/pull/1695) ### Changed -- Smaller object details () +- Shape coordinates are rounded to 2 digits in dumped annotations () +- COCO format does not produce polygon points for bbox annotations () ### Deprecated - @@ -19,6 +21,34 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ### Removed - +### Fixed +- Issue loading openvino models for semi-automatic and automatic annotation () +- Basic functions of CVAT works without activated nuclio dashboard + +### Security +- + +## [1.1.0-beta] - 2020-08-03 +### Added +- DL models as serverless functions () +- Source type support for tags, shapes and tracks () +- Source type support for CVAT Dumper/Loader () +- Intelligent polygon editing () +- Support creating multiple jobs for each task through python cli (https://github.com/opencv/cvat/pull/1950) +- python cli over https () +- Error message when plugins weren't able to initialize instead of infinite loading () +- Ability to change user password () + +### Changed +- Smaller object details () +- `COCO` format does not convert bboxes to polygons on export () +- It is impossible to submit a DL model in OpenVINO format using UI. Now you can deploy new models on the server using serverless functions () +- Files and folders under share path are now alphabetically sorted + +### Removed +- Removed OpenVINO and CUDA components because they are not necessary anymore () +- Removed the old UI code () + ### Fixed - Some objects aren't shown on canvas sometimes. For example after propagation on of objects is invisible () - CVAT doesn't offer to restore state after an error () @@ -33,10 +63,11 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Points are dublicated during polygon interpolation sometimes () - When redraw a shape with activated autobordering, previous points are visible () - No mapping between side object element and context menu in some attributes () -- Interpolated shapes exported as `keyframe = True` (https://github.com/opencv/cvat/pull/1937) - -### Security -- +- Interpolated shapes exported as `keyframe = True` () +- Stylelint filetype scans () +- Fixed toolip closing issue () +- Clearing frame cache when close a task () +- Increase rate of throttling policy for unauthenticated users () ## [1.1.0-alpha] - 2020-06-30 ### Added @@ -77,12 +108,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 - Colorized object items in the side panel () - [Datumaro] Annotation-less files are not generated anymore in COCO format, unless tasks explicitly requested () -### Deprecated -- - -### Removed -- - ### Fixed - Problem with exported frame stepped image task () - Fixed dataset filter item representation for imageless dataset items () diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index f97dade6..08c3cfd0 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -101,72 +101,146 @@ You develop CVAT under WSL (Windows subsystem for Linux) following next steps. - Run all commands from this isntallation guide in WSL Ubuntu shell. ## Setup additional components in development environment -### Automatic annotation -- Install OpenVINO on your host machine according to instructions from -[OpenVINO website](https://docs.openvinotoolkit.org/latest/index.html) - -- Add some environment variables (copy code below to the end of ``.env/bin/activate`` file): -```sh - source /opt/intel/openvino/bin/setupvars.sh +### DL models as serverless functions + +Install [nuclio platform](https://github.com/nuclio/nuclio): +- You have to install `nuctl` command line tool to build and deploy serverless +functions. Download [the latest release]( +https://github.com/nuclio/nuclio/blob/development/docs/reference/nuctl/nuctl.md#download). +- The simplest way to explore Nuclio is to run its graphical user interface (GUI) +of the Nuclio dashboard. All you need in order to run the dashboard is Docker. See +[nuclio documentation](https://github.com/nuclio/nuclio#quick-start-steps) +for more details. +- Create `cvat` project inside nuclio dashboard where you will deploy new +serverless functions and deploy a couple of DL models. + +```bash +nuctl create project cvat +``` - export OPENVINO_TOOLKIT="yes" - export IE_PLUGINS_PATH="/opt/intel/openvino/deployment_tools/inference_engine/lib/intel64" - export OpenCV_DIR="/usr/local/lib/cmake/opencv4" - export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/opt/intel/openvino/inference_engine/lib/intel64" +```bash +nuctl deploy --project-name cvat \ + --path serverless/openvino/dextr/nuclio \ + --volume `pwd`/serverless/openvino/common:/opt/nuclio/common \ + --platform local ``` -Notice 1: be sure that these paths actually exist. Some of them can differ in different OpenVINO versions. +
+ +```bash +20.07.17 12:02:23.247 nuctl (I) Deploying function {"name": ""} +20.07.17 12:02:23.248 nuctl (I) Building {"versionInfo": "Label: 1.4.8, Git commit: 238d4539ac7783896d6c414535d0462b5f4cbcf1, OS: darwin, Arch: amd64, Go version: go1.14.3", "name": ""} +20.07.17 12:02:23.447 nuctl (I) Cleaning up before deployment +20.07.17 12:02:23.535 nuctl (I) Function already exists, deleting +20.07.17 12:02:25.877 nuctl (I) Staging files and preparing base images +20.07.17 12:02:25.891 nuctl (I) Building processor image {"imageName": "cvat/openvino.dextr:latest"} +20.07.17 12:02:25.891 nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/handler-builder-python-onbuild:1.4.8-amd64"} +20.07.17 12:02:29.270 nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/uhttpc:0.0.1-amd64"} +20.07.17 12:02:33.208 nuctl.platform (I) Building docker image {"image": "cvat/openvino.dextr:latest"} +20.07.17 12:02:34.464 nuctl.platform (I) Pushing docker image into registry {"image": "cvat/openvino.dextr:latest", "registry": ""} +20.07.17 12:02:34.464 nuctl.platform (I) Docker image was successfully built and pushed into docker registry {"image": "cvat/openvino.dextr:latest"} +20.07.17 12:02:34.464 nuctl (I) Build complete {"result": {"Image":"cvat/openvino.dextr:latest","UpdatedFunctionConfig":{"metadata":{"name":"openvino.dextr","namespace":"nuclio","labels":{"nuclio.io/project-name":"cvat"},"annotations":{"framework":"openvino","spec":"","type":"interactor"}},"spec":{"description":"Deep Extreme Cut","handler":"main:handler","runtime":"python:3.6","env":[{"name":"NUCLIO_PYTHON_EXE_PATH","value":"/opt/nuclio/python3"}],"resources":{},"image":"cvat/openvino.dextr:latest","targetCPU":75,"triggers":{"myHttpTrigger":{"class":"","kind":"http","name":"","maxWorkers":2,"workerAvailabilityTimeoutMilliseconds":10000,"attributes":{"maxRequestBodySize":33554432}}},"volumes":[{"volume":{"name":"volume-1","hostPath":{"path":"/Users/nmanovic/Workspace/cvat/serverless/openvino/common"}},"volumeMount":{"name":"volume-1","mountPath":"/opt/nuclio/common"}}],"build":{"image":"cvat/openvino.dextr","baseImage":"openvino/ubuntu18_runtime:2020.2","directives":{"postCopy":[{"kind":"RUN","value":"curl -O https://download.01.org/openvinotoolkit/models_contrib/cvat/dextr_model_v1.zip"},{"kind":"RUN","value":"unzip dextr_model_v1.zip"},{"kind":"RUN","value":"pip3 install Pillow"},{"kind":"USER","value":"openvino"}],"preCopy":[{"kind":"USER","value":"root"},{"kind":"WORKDIR","value":"/opt/nuclio"},{"kind":"RUN","value":"ln -s /usr/bin/pip3 /usr/bin/pip"}]},"codeEntryType":"image"},"platform":{},"readinessTimeoutSeconds":60,"eventTimeout":"30s"}}}} +20.07.17 12:02:35.012 nuctl.platform (I) Waiting for function to be ready {"timeout": 60} +20.07.17 12:02:37.448 nuctl (I) Function deploy complete {"httpPort": 55274} +``` -Notice 2: you need to deactivate, activate again and restart vs code -to changes in ``.env/bin/activate`` file are active. +
-### ReID algorithm -- Perform all steps in the automatic annotation section -- Download ReID model and save it somewhere: -```sh - curl https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.xml -o reid.xml - curl https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.bin -o reid.bin -``` -- Add next line to ``.env/bin/activate``: -```sh - export REID_MODEL_DIR="/path/to/dir" # dir must contain .xml and .bin files +```bash +nuctl deploy --project-name cvat \ + --path serverless/openvino/omz/public/yolo-v3-tf/nuclio \ + --volume `pwd`/serverless/openvino/common:/opt/nuclio/common \ + --platform local ``` -### Deep Extreme Cut -- Perform all steps in the automatic annotation section -- Download Deep Extreme Cut model, unpack it, and save somewhere: -```sh -curl https://download.01.org/openvinotoolkit/models_contrib/cvat/dextr_model_v1.zip -o dextr.zip -unzip dextr.zip +
+ +```bash +20.07.17 12:05:23.377 nuctl (I) Deploying function {"name": ""} +20.07.17 12:05:23.378 nuctl (I) Building {"versionInfo": "Label: 1.4.8, Git commit: 238d4539ac7783896d6c414535d0462b5f4cbcf1, OS: darwin, Arch: amd64, Go version: go1.14.3", "name": ""} +20.07.17 12:05:23.590 nuctl (I) Cleaning up before deployment +20.07.17 12:05:23.694 nuctl (I) Function already exists, deleting +20.07.17 12:05:24.271 nuctl (I) Staging files and preparing base images +20.07.17 12:05:24.274 nuctl (I) Building processor image {"imageName": "cvat/openvino.omz.public.yolo-v3-tf:latest"} +20.07.17 12:05:24.274 nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/handler-builder-python-onbuild:1.4.8-amd64"} +20.07.17 12:05:27.432 nuctl.platform.docker (I) Pulling image {"imageName": "quay.io/nuclio/uhttpc:0.0.1-amd64"} +20.07.17 12:05:31.462 nuctl.platform (I) Building docker image {"image": "cvat/openvino.omz.public.yolo-v3-tf:latest"} +20.07.17 12:05:32.798 nuctl.platform (I) Pushing docker image into registry {"image": "cvat/openvino.omz.public.yolo-v3-tf:latest", "registry": ""} +20.07.17 12:05:32.798 nuctl.platform (I) Docker image was successfully built and pushed into docker registry {"image": "cvat/openvino.omz.public.yolo-v3-tf:latest"} +20.07.17 12:05:32.798 nuctl (I) Build complete {"result": {"Image":"cvat/openvino.omz.public.yolo-v3-tf:latest","UpdatedFunctionConfig":{"metadata":{"name":"openvino.omz.public.yolo-v3-tf","namespace":"nuclio","labels":{"nuclio.io/project-name":"cvat"},"annotations":{"framework":"openvino","name":"YOLO v3","spec":"[\n { \"id\": 0, \"name\": \"person\" },\n { \"id\": 1, \"name\": \"bicycle\" },\n { \"id\": 2, \"name\": \"car\" },\n { \"id\": 3, \"name\": \"motorbike\" },\n { \"id\": 4, \"name\": \"aeroplane\" },\n { \"id\": 5, \"name\": \"bus\" },\n { \"id\": 6, \"name\": \"train\" },\n { \"id\": 7, \"name\": \"truck\" },\n { \"id\": 8, \"name\": \"boat\" },\n { \"id\": 9, \"name\": \"traffic light\" },\n { \"id\": 10, \"name\": \"fire hydrant\" },\n { \"id\": 11, \"name\": \"stop sign\" },\n { \"id\": 12, \"name\": \"parking meter\" },\n { \"id\": 13, \"name\": \"bench\" },\n { \"id\": 14, \"name\": \"bird\" },\n { \"id\": 15, \"name\": \"cat\" },\n { \"id\": 16, \"name\": \"dog\" },\n { \"id\": 17, \"name\": \"horse\" },\n { \"id\": 18, \"name\": \"sheep\" },\n { \"id\": 19, \"name\": \"cow\" },\n { \"id\": 20, \"name\": \"elephant\" },\n { \"id\": 21, \"name\": \"bear\" },\n { \"id\": 22, \"name\": \"zebra\" },\n { \"id\": 23, \"name\": \"giraffe\" },\n { \"id\": 24, \"name\": \"backpack\" },\n { \"id\": 25, \"name\": \"umbrella\" },\n { \"id\": 26, \"name\": \"handbag\" },\n { \"id\": 27, \"name\": \"tie\" },\n { \"id\": 28, \"name\": \"suitcase\" },\n { \"id\": 29, \"name\": \"frisbee\" },\n { \"id\": 30, \"name\": \"skis\" },\n { \"id\": 31, \"name\": \"snowboard\" },\n { \"id\": 32, \"name\": \"sports ball\" },\n { \"id\": 33, \"name\": \"kite\" },\n { \"id\": 34, \"name\": \"baseball bat\" },\n { \"id\": 35, \"name\": \"baseball glove\" },\n { \"id\": 36, \"name\": \"skateboard\" },\n { \"id\": 37, \"name\": \"surfboard\" },\n { \"id\": 38, \"name\": \"tennis racket\" },\n { \"id\": 39, \"name\": \"bottle\" },\n { \"id\": 40, \"name\": \"wine glass\" },\n { \"id\": 41, \"name\": \"cup\" },\n { \"id\": 42, \"name\": \"fork\" },\n { \"id\": 43, \"name\": \"knife\" },\n { \"id\": 44, \"name\": \"spoon\" },\n { \"id\": 45, \"name\": \"bowl\" },\n { \"id\": 46, \"name\": \"banana\" },\n { \"id\": 47, \"name\": \"apple\" },\n { \"id\": 48, \"name\": \"sandwich\" },\n { \"id\": 49, \"name\": \"orange\" },\n { \"id\": 50, \"name\": \"broccoli\" },\n { \"id\": 51, \"name\": \"carrot\" },\n { \"id\": 52, \"name\": \"hot dog\" },\n { \"id\": 53, \"name\": \"pizza\" },\n { \"id\": 54, \"name\": \"donut\" },\n { \"id\": 55, \"name\": \"cake\" },\n { \"id\": 56, \"name\": \"chair\" },\n { \"id\": 57, \"name\": \"sofa\" },\n { \"id\": 58, \"name\": \"pottedplant\" },\n { \"id\": 59, \"name\": \"bed\" },\n { \"id\": 60, \"name\": \"diningtable\" },\n { \"id\": 61, \"name\": \"toilet\" },\n { \"id\": 62, \"name\": \"tvmonitor\" },\n { \"id\": 63, \"name\": \"laptop\" },\n { \"id\": 64, \"name\": \"mouse\" },\n { \"id\": 65, \"name\": \"remote\" },\n { \"id\": 66, \"name\": \"keyboard\" },\n { \"id\": 67, \"name\": \"cell phone\" },\n { \"id\": 68, \"name\": \"microwave\" },\n { \"id\": 69, \"name\": \"oven\" },\n { \"id\": 70, \"name\": \"toaster\" },\n { \"id\": 71, \"name\": \"sink\" },\n { \"id\": 72, \"name\": \"refrigerator\" },\n { \"id\": 73, \"name\": \"book\" },\n { \"id\": 74, \"name\": \"clock\" },\n { \"id\": 75, \"name\": \"vase\" },\n { \"id\": 76, \"name\": \"scissors\" },\n { \"id\": 77, \"name\": \"teddy bear\" },\n { \"id\": 78, \"name\": \"hair drier\" },\n { \"id\": 79, \"name\": \"toothbrush\" }\n]\n","type":"detector"}},"spec":{"description":"YOLO v3 via Intel OpenVINO","handler":"main:handler","runtime":"python:3.6","env":[{"name":"NUCLIO_PYTHON_EXE_PATH","value":"/opt/nuclio/common/python3"}],"resources":{},"image":"cvat/openvino.omz.public.yolo-v3-tf:latest","targetCPU":75,"triggers":{"myHttpTrigger":{"class":"","kind":"http","name":"","maxWorkers":2,"workerAvailabilityTimeoutMilliseconds":10000,"attributes":{"maxRequestBodySize":33554432}}},"volumes":[{"volume":{"name":"volume-1","hostPath":{"path":"/Users/nmanovic/Workspace/cvat/serverless/openvino/common"}},"volumeMount":{"name":"volume-1","mountPath":"/opt/nuclio/common"}}],"build":{"image":"cvat/openvino.omz.public.yolo-v3-tf","baseImage":"openvino/ubuntu18_dev:2020.2","directives":{"postCopy":[{"kind":"USER","value":"openvino"}],"preCopy":[{"kind":"USER","value":"root"},{"kind":"WORKDIR","value":"/opt/nuclio"},{"kind":"RUN","value":"ln -s /usr/bin/pip3 /usr/bin/pip"},{"kind":"RUN","value":"/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name yolo-v3-tf -o /opt/nuclio/open_model_zoo"},{"kind":"RUN","value":"/opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/converter.py --name yolo-v3-tf --precisions FP32 -d /opt/nuclio/open_model_zoo -o /opt/nuclio/open_model_zoo"}]},"codeEntryType":"image"},"platform":{},"readinessTimeoutSeconds":60,"eventTimeout":"30s"}}}} +20.07.17 12:05:33.285 nuctl.platform (I) Waiting for function to be ready {"timeout": 60} +20.07.17 12:05:35.452 nuctl (I) Function deploy complete {"httpPort": 57308} ``` -- Add next lines to ``.env/bin/activate``: -```sh - export WITH_DEXTR="yes" - export DEXTR_MODEL_DIR="/path/to/dir" # dir must contain .xml and .bin files + +
+ +- Display a list of running serverless functions using `nuctl` command or see them +in nuclio dashboard: + +```bash +nuctl get function ``` -### Tensorflow RCNN -- Download RCNN model, unpack it, and save it somewhere: -```sh -curl http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz -o model.tar.gz && \ -tar -xzf model.tar.gz +
+ +```bash + NAMESPACE | NAME | PROJECT | STATE | NODE PORT | REPLICAS + nuclio | openvino.dextr | cvat | ready | 55274 | 1/1 + nuclio | openvino.omz.public.yolo-v3-tf | cvat | ready | 57308 | 1/1 ``` -- Add next lines to ``.env/bin/activate``: -```sh - export TF_ANNOTATION="yes" - export TF_ANNOTATION_MODEL_PATH="/path/to/the/model/graph" # truncate .pb extension + +
+ +- Test your deployed DL model as a serverless function. The command below +should work on Linux and Mac OS. + +```bash +image=$(curl https://upload.wikimedia.org/wikipedia/en/7/7d/Lenna_%28test_image%29.png --output - | base64 | tr -d '\n') +cat << EOF > /tmp/input.json +{"image": "$image"} +EOF +cat /tmp/input.json | nuctl invoke openvino.omz.public.yolo-v3-tf -c 'application/json' ``` -### Tensorflow Mask RCNN -- Download Mask RCNN model, and save it somewhere: -```sh -curl https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5 -o mask_rcnn_coco.h5 +
+ +```bash +20.07.17 12:07:44.519 nuctl.platform.invoker (I) Executing function {"method": "POST", "url": "http://:57308", "headers": {"Content-Type":["application/json"],"X-Nuclio-Log-Level":["info"],"X-Nuclio-Target":["openvino.omz.public.yolo-v3-tf"]}} +20.07.17 12:07:45.275 nuctl.platform.invoker (I) Got response {"status": "200 OK"} +20.07.17 12:07:45.275 nuctl (I) >>> Start of function logs +20.07.17 12:07:45.275 ino.omz.public.yolo-v3-tf (I) Run yolo-v3-tf model {"worker_id": "0", "time": 1594976864570.9353} +20.07.17 12:07:45.275 nuctl (I) <<< End of function logs + +> Response headers: +Date = Fri, 17 Jul 2020 09:07:45 GMT +Content-Type = application/json +Content-Length = 100 +Server = nuclio + +> Response body: +[ + { + "confidence": "0.9992254", + "label": "person", + "points": [ + 39, + 124, + 408, + 512 + ], + "type": "rectangle" + } +] ``` -- Add next lines to ``.env/bin/activate``: + +### Run Cypress tests +- Install Сypress as described in the [documentation](https://docs.cypress.io/guides/getting-started/installing-cypress.html). +- Run cypress tests: ```sh - export AUTO_SEGMENTATION="yes" - export AUTO_SEGMENTATION_PATH="/path/to/dir" # dir must contain mask_rcnn_coco.h5 file + cd /tests + /node_modules/.bin/cypress run --headless --browser chrome ``` +For more information, see the [documentation](https://docs.cypress.io/). ## JavaScript/Typescript coding style diff --git a/Dockerfile b/Dockerfile index c1c48502..02535a02 100644 --- a/Dockerfile +++ b/Dockerfile @@ -76,33 +76,6 @@ RUN adduser --shell /bin/bash --disabled-password --gecos "" ${USER} && \ COPY components /tmp/components -# OpenVINO toolkit support -ARG OPENVINO_TOOLKIT -ENV OPENVINO_TOOLKIT=${OPENVINO_TOOLKIT} -ENV REID_MODEL_DIR=${HOME}/reid -RUN if [ "$OPENVINO_TOOLKIT" = "yes" ]; then \ - /tmp/components/openvino/install.sh && \ - mkdir ${REID_MODEL_DIR} && \ - curl https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.xml -o reid/reid.xml && \ - curl https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-reidentification-retail-0079/FP32/person-reidentification-retail-0079.bin -o reid/reid.bin; \ - fi - -# Tensorflow annotation support -ARG TF_ANNOTATION -ENV TF_ANNOTATION=${TF_ANNOTATION} -ENV TF_ANNOTATION_MODEL_PATH=${HOME}/rcnn/inference_graph -RUN if [ "$TF_ANNOTATION" = "yes" ]; then \ - bash -i /tmp/components/tf_annotation/install.sh; \ - fi - -# Auto segmentation support. by Mohammad -ARG AUTO_SEGMENTATION -ENV AUTO_SEGMENTATION=${AUTO_SEGMENTATION} -ENV AUTO_SEGMENTATION_PATH=${HOME}/Mask_RCNN -RUN if [ "$AUTO_SEGMENTATION" = "yes" ]; then \ - bash -i /tmp/components/auto_segmentation/install.sh; \ - fi - # Install and initialize CVAT, copy all necessary files COPY cvat/requirements/ /tmp/requirements/ COPY supervisord.conf mod_wsgi.conf wait-for-it.sh manage.py ${HOME}/ @@ -110,24 +83,6 @@ RUN python3 -m pip install --no-cache-dir -r /tmp/requirements/${DJANGO_CONFIGUR # pycocotools package is impossible to install with its dependencies by one pip install command RUN python3 -m pip install --no-cache-dir pycocotools==2.0.0 - -# CUDA support -ARG CUDA_SUPPORT -ENV CUDA_SUPPORT=${CUDA_SUPPORT} -RUN if [ "$CUDA_SUPPORT" = "yes" ]; then \ - /tmp/components/cuda/install.sh; \ - fi - -# TODO: CHANGE URL -ARG WITH_DEXTR -ENV WITH_DEXTR=${WITH_DEXTR} -ENV DEXTR_MODEL_DIR=${HOME}/dextr -RUN if [ "$WITH_DEXTR" = "yes" ]; then \ - mkdir ${DEXTR_MODEL_DIR} -p && \ - curl https://download.01.org/openvinotoolkit/models_contrib/cvat/dextr_model_v1.zip -o ${DEXTR_MODEL_DIR}/dextr.zip && \ - 7z e ${DEXTR_MODEL_DIR}/dextr.zip -o${DEXTR_MODEL_DIR} && rm ${DEXTR_MODEL_DIR}/dextr.zip; \ - fi - ARG CLAM_AV ENV CLAM_AV=${CLAM_AV} RUN if [ "$CLAM_AV" = "yes" ]; then \ @@ -151,9 +106,6 @@ COPY datumaro/ ${HOME}/datumaro RUN python3 -m pip install --no-cache-dir -r ${HOME}/datumaro/requirements.txt -# Binary option is necessary to correctly apply the patch on Windows platform. -# https://unix.stackexchange.com/questions/239364/how-to-fix-hunk-1-failed-at-1-different-line-endings-message -RUN patch --binary -p1 < ${HOME}/cvat/apps/engine/static/engine/js/3rdparty.patch RUN chown -R ${USER}:${USER} . # RUN all commands below as 'django' user diff --git a/Dockerfile.ci b/Dockerfile.ci index 809c1d78..422259de 100644 --- a/Dockerfile.ci +++ b/Dockerfile.ci @@ -1,11 +1,11 @@ -FROM cvat +FROM cvat/server ENV DJANGO_CONFIGURATION=testing USER root RUN curl https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add - && \ echo 'deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main' | tee /etc/apt/sources.list.d/google-chrome.list && \ - curl https://deb.nodesource.com/setup_9.x | bash - && \ + curl https://deb.nodesource.com/setup_12.x | bash - && \ apt-get update && \ DEBIAN_FRONTEND=noninteractive apt-get --no-install-recommends install -yq \ apt-utils \ @@ -23,19 +23,4 @@ RUN gem install coveralls-lcov COPY .coveragerc . -# RUN all commands below as 'django' user -USER ${USER} - -RUN mkdir -p tests && cd tests && npm install \ - eslint \ - eslint-detailed-reporter \ - karma \ - karma-chrome-launcher \ - karma-coveralls \ - karma-coverage \ - karma-junit-reporter \ - karma-qunit \ - qunit; \ - echo "export PATH=~/tests/node_modules/.bin:${PATH}" >> ~/.bashrc; - ENTRYPOINT [] diff --git a/README.md b/README.md index bf1186b6..c02bbb5d 100644 --- a/README.md +++ b/README.md @@ -4,14 +4,13 @@ [![Codacy Badge](https://api.codacy.com/project/badge/Grade/840351da141e4eaeac6476fd19ec0a33)](https://app.codacy.com/app/cvat/cvat?utm_source=github.com&utm_medium=referral&utm_content=opencv/cvat&utm_campaign=Badge_Grade_Dashboard) [![Gitter chat](https://badges.gitter.im/opencv-cvat/gitter.png)](https://gitter.im/opencv-cvat) [![Coverage Status](https://coveralls.io/repos/github/opencv/cvat/badge.svg?branch=)](https://coveralls.io/github/opencv/cvat?branch=develop) -[![codebeat badge](https://codebeat.co/badges/53cd0d16-fddc-46f8-903c-f43ed9abb6dd)](https://codebeat.co/projects/github-com-opencv-cvat-develop) [![DOI](https://zenodo.org/badge/139156354.svg)](https://zenodo.org/badge/latestdoi/139156354) CVAT is free, online, interactive video and image annotation tool for computer vision. It is being used by our team to annotate million of objects with different properties. Many UI -and UX decisions are based on feedbacks from professional data annotation team. -Try it online [cvat.org](https://cvat.org). +and UX decisions are based on feedbacks from professional data +annotation team. Try it online [cvat.org](https://cvat.org). ![CVAT screenshot](cvat/apps/documentation/static/documentation/images/cvat.jpg) @@ -58,10 +57,18 @@ via its command line tool and Python library. | [MOT](https://motchallenge.net/) | X | X | | [LabelMe 3.0](http://labelme.csail.mit.edu/Release3.0) | X | X | -## Links -- [Intel AI blog: New Computer Vision Tool Accelerates Annotation of Digital Images and Video](https://www.intel.ai/introducing-cvat) -- [Intel Software: Computer Vision Annotation Tool: A Universal Approach to Data Annotation](https://software.intel.com/en-us/articles/computer-vision-annotation-tool-a-universal-approach-to-data-annotation) -- [VentureBeat: Intel open-sources CVAT, a toolkit for data labeling](https://venturebeat.com/2019/03/05/intel-open-sources-cvat-a-toolkit-for-data-labeling/) +## Deep learning models for automatic labeling + +| Name | Type | Framework | +| ------------------------------------------------------------------------------------------------------- | ---------- | ---------- | +| [Deep Extreme Cut](/serverless/openvino/dextr/nuclio) | interactor | OpenVINO | +| [Faster RCNN](/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio) | detector | TensorFlow | +| [Mask RCNN](/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio) | detector | OpenVINO | +| [YOLO v3](/serverless/openvino/omz/public/yolo-v3-tf/nuclio) | detector | OpenVINO | +| [Text detection v4](/serverless/openvino/omz/intel/text-detection-0004/nuclio) | detector | OpenVINO | +| [Semantic segmentation for ADAS](/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio) | detector | OpenVINO | +| [Mask RCNN](/serverless/tensorflow/matterport/mask_rcnn/nuclio) | detector | TensorFlow | +| [Object reidentification](/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio) | reid | OpenVINO | ## Online demo: [cvat.org](https://cvat.org) @@ -71,7 +78,6 @@ are visible to users. Disabled features: - [Analytics: management and monitoring of data annotation team](/components/analytics/README.md) -- [Support for NVIDIA GPUs](/components/cuda/README.md) Limitations: - No more than 10 tasks per user @@ -105,3 +111,8 @@ If you are not sure or just want to browse other users common questions, Other ways to ask questions and get our support: * [\#cvat](https://stackoverflow.com/search?q=%23cvat) tag on StackOverflow* * [Forum on Intel Developer Zone](https://software.intel.com/en-us/forums/computer-vision) + +## Links +- [Intel AI blog: New Computer Vision Tool Accelerates Annotation of Digital Images and Video](https://www.intel.ai/introducing-cvat) +- [Intel Software: Computer Vision Annotation Tool: A Universal Approach to Data Annotation](https://software.intel.com/en-us/articles/computer-vision-annotation-tool-a-universal-approach-to-data-annotation) +- [VentureBeat: Intel open-sources CVAT, a toolkit for data labeling](https://venturebeat.com/2019/03/05/intel-open-sources-cvat-a-toolkit-for-data-labeling/) diff --git a/components/analytics/docker-compose.analytics.yml b/components/analytics/docker-compose.analytics.yml index fcb88272..5edcd505 100644 --- a/components/analytics/docker-compose.analytics.yml +++ b/components/analytics/docker-compose.analytics.yml @@ -31,7 +31,7 @@ services: cvat_kibana_setup: container_name: cvat_kibana_setup - image: cvat + image: cvat/server volumes: ['./components/analytics/kibana:/home/django/kibana:ro'] depends_on: ['cvat'] working_dir: '/home/django' @@ -63,7 +63,7 @@ services: DJANGO_LOG_SERVER_PORT: 5000 DJANGO_LOG_VIEWER_HOST: kibana DJANGO_LOG_VIEWER_PORT: 5601 - no_proxy: kibana,logstash,${no_proxy} + no_proxy: kibana,logstash,nuclio,${no_proxy} volumes: cvat_events: diff --git a/components/auto_segmentation/README.md b/components/auto_segmentation/README.md deleted file mode 100644 index b456857e..00000000 --- a/components/auto_segmentation/README.md +++ /dev/null @@ -1,38 +0,0 @@ -## [Keras+Tensorflow Mask R-CNN Segmentation](https://github.com/matterport/Mask_RCNN) - -### What is it? -- This application allows you automatically to segment many various objects on images. -- It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone. - -- It uses a pre-trained model on MS COCO dataset -- It supports next classes (use them in "labels" row): -```python -'BG', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', -'bus', 'train', 'truck', 'boat', 'traffic light', -'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', -'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', -'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', -'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', -'kite', 'baseball bat', 'baseball glove', 'skateboard', -'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', -'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', -'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', -'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', -'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', -'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', -'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', -'teddy bear', 'hair drier', 'toothbrush'. -``` -- Component adds "Run Auto Segmentation" button into dashboard. - -### Build docker image -```bash -# From project root directory -docker-compose -f docker-compose.yml -f components/auto_segmentation/docker-compose.auto_segmentation.yml build -``` - -### Run docker container -```bash -# From project root directory -docker-compose -f docker-compose.yml -f components/auto_segmentation/docker-compose.auto_segmentation.yml up -d -``` diff --git a/components/auto_segmentation/docker-compose.auto_segmentation.yml b/components/auto_segmentation/docker-compose.auto_segmentation.yml deleted file mode 100644 index 1d9763cd..00000000 --- a/components/auto_segmentation/docker-compose.auto_segmentation.yml +++ /dev/null @@ -1,13 +0,0 @@ -# -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT -# -version: "2.3" - -services: - cvat: - build: - context: . - args: - AUTO_SEGMENTATION: "yes" diff --git a/components/auto_segmentation/install.sh b/components/auto_segmentation/install.sh deleted file mode 100755 index d6881a68..00000000 --- a/components/auto_segmentation/install.sh +++ /dev/null @@ -1,13 +0,0 @@ -#!/bin/bash -# - -set -e - -MASK_RCNN_URL=https://github.com/matterport/Mask_RCNN - -cd ${HOME} && \ -git clone ${MASK_RCNN_URL}.git && \ -curl -L ${MASK_RCNN_URL}/releases/download/v2.0/mask_rcnn_coco.h5 -o Mask_RCNN/mask_rcnn_coco.h5 - -# TODO remove useless files -# tensorflow and Keras are installed globally diff --git a/components/cuda/README.md b/components/cuda/README.md deleted file mode 100644 index a6ecbfef..00000000 --- a/components/cuda/README.md +++ /dev/null @@ -1,41 +0,0 @@ -## [NVIDIA CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit) - -### Requirements - -* NVIDIA GPU with a compute capability [3.0 - 7.2] -* Latest GPU driver - -### Installation - -#### Install the latest driver for your graphics card - -```bash -sudo add-apt-repository ppa:graphics-drivers/ppa -sudo apt-get update -sudo apt-cache search nvidia-* # find latest nvidia driver -sudo apt-get --no-install-recommends install nvidia-* # install the nvidia driver -sudo apt-get --no-install-recommends install mesa-common-dev -sudo apt-get --no-install-recommends install freeglut3-dev -sudo apt-get --no-install-recommends install nvidia-modprobe -``` - -#### Reboot your PC and verify installation by `nvidia-smi` command. - -#### Install [Nvidia-Docker](https://github.com/NVIDIA/nvidia-docker) - -Please be sure that installation was successful. -```bash -docker info | grep 'Runtimes' # output should contains 'nvidia' -``` - -### Build docker image -```bash -# From project root directory -docker-compose -f docker-compose.yml -f components/cuda/docker-compose.cuda.yml build -``` - -### Run docker container -```bash -# From project root directory -docker-compose -f docker-compose.yml -f components/cuda/docker-compose.cuda.yml up -d -``` diff --git a/components/cuda/docker-compose.cuda.yml b/components/cuda/docker-compose.cuda.yml deleted file mode 100644 index 41d325f3..00000000 --- a/components/cuda/docker-compose.cuda.yml +++ /dev/null @@ -1,23 +0,0 @@ -# -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT -# -version: "2.3" - -services: - cvat: - build: - context: . - args: - CUDA_SUPPORT: "yes" - runtime: "nvidia" - environment: - NVIDIA_VISIBLE_DEVICES: all - NVIDIA_DRIVER_CAPABILITIES: compute,utility - # That environment variable is used by the Nvidia Container Runtime. - # The Nvidia Container Runtime parses this as: - # :space:: logical OR - # ,: Logical AND - # https://gitlab.com/nvidia/container-images/cuda/issues/31#note_149432780 - NVIDIA_REQUIRE_CUDA: "cuda>=10.0 brand=tesla,driver>=384,driver<385 brand=tesla,driver>=410,driver<411" diff --git a/components/cuda/install.sh b/components/cuda/install.sh deleted file mode 100755 index 58f99acf..00000000 --- a/components/cuda/install.sh +++ /dev/null @@ -1,38 +0,0 @@ -#!/bin/bash -# -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT -# -set -e - -NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \ -NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \ -apt-key adv --fetch-keys http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && \ -apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +5 > cudasign.pub && \ -echo "$NVIDIA_GPGKEY_SUM cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \ -echo "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \ -echo "deb http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list - -CUDA_VERSION=10.0.130 -NCCL_VERSION=2.5.6 -CUDNN_VERSION=7.6.5.32 -CUDA_PKG_VERSION="10-0=$CUDA_VERSION-1" -echo 'export PATH=/usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}' >> ${HOME}/.bashrc -echo 'export LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64:${LD_LIBRARY_PATH}' >> ${HOME}/.bashrc - -apt-get update && apt-get install -y --no-install-recommends --allow-unauthenticated \ - cuda-cudart-$CUDA_PKG_VERSION \ - cuda-compat-10-0 \ - cuda-libraries-$CUDA_PKG_VERSION \ - cuda-nvtx-$CUDA_PKG_VERSION \ - libnccl2=$NCCL_VERSION-1+cuda10.0 \ - libcudnn7=$CUDNN_VERSION-1+cuda10.0 && \ - ln -s cuda-10.0 /usr/local/cuda && \ - apt-mark hold libnccl2 libcudnn7 && \ - rm -rf /var/lib/apt/lists/* \ - /etc/apt/sources.list.d/nvidia-ml.list /etc/apt/sources.list.d/cuda.list - -python3 -m pip uninstall -y tensorflow -python3 -m pip install --no-cache-dir tensorflow-gpu==1.15.2 - diff --git a/components/openvino/README.md b/components/openvino/README.md deleted file mode 100644 index 3b3a123b..00000000 --- a/components/openvino/README.md +++ /dev/null @@ -1,45 +0,0 @@ -## [Intel OpenVINO toolkit](https://software.intel.com/en-us/openvino-toolkit) - -### Requirements - -* Intel Core with 6th generation and higher or Intel Xeon CPUs. - -### Preparation - -- Download the latest [OpenVINO toolkit](https://software.intel.com/en-us/openvino-toolkit) .tgz installer -(offline or online) for Ubuntu platforms. Note that OpenVINO does not maintain forward compatability between -Intermediate Representations (IRs), so the version of OpenVINO in CVAT and the version used to translate the -models needs to be the same. -- Put downloaded file into ```cvat/components/openvino```. -- Accept EULA in the `cvat/components/openvino/eula.cfg` file. - -### Build docker image -```bash -# From project root directory -docker-compose -f docker-compose.yml -f components/openvino/docker-compose.openvino.yml build -``` - -### Run docker container -```bash -# From project root directory -docker-compose -f docker-compose.yml -f components/openvino/docker-compose.openvino.yml up -d -``` - -You should be able to login and see the web interface for CVAT now, complete with the new "Model Manager" button. - -### OpenVINO Models - -Clone the [Open Model Zoo](https://github.com/opencv/open_model_zoo). `$ git clone https://github.com/opencv/open_model_zoo.git` - -Install the appropriate libraries. Currently that command would be `$ pip install -r open_model_zoo/tools/downloader/requirements.in` - -Download the models using `downloader.py` file in `open_model_zoo/tools/downloader/`. -The `--name` command can be used to specify specific models. -The `--print_all` command can print all the available models. -Specific models that are already integrated into Cvat can be found [here](https://github.com/opencv/cvat/tree/develop/utils/open_model_zoo). - -From the web user interface in CVAT, upload the models using the model manager. -You'll need to include the xml and bin file from the model downloader. -You'll need to include the python and JSON files from scratch or by using the ones in the CVAT libary. -See [here](https://github.com/opencv/cvat/tree/develop/cvat/apps/auto_annotation) for instructions for creating custom -python and JSON files. diff --git a/components/openvino/docker-compose.openvino.yml b/components/openvino/docker-compose.openvino.yml deleted file mode 100644 index 3805f1b8..00000000 --- a/components/openvino/docker-compose.openvino.yml +++ /dev/null @@ -1,13 +0,0 @@ -# -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT -# -version: "2.3" - -services: - cvat: - build: - context: . - args: - OPENVINO_TOOLKIT: "yes" diff --git a/components/openvino/eula.cfg b/components/openvino/eula.cfg deleted file mode 100644 index 7c34e8fe..00000000 --- a/components/openvino/eula.cfg +++ /dev/null @@ -1,3 +0,0 @@ -# Accept actual EULA from openvino installation archive. Valid values are: {accept, decline} -ACCEPT_EULA=accept - diff --git a/components/openvino/install.sh b/components/openvino/install.sh deleted file mode 100755 index 159ff32d..00000000 --- a/components/openvino/install.sh +++ /dev/null @@ -1,41 +0,0 @@ -#!/bin/bash -# -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT -# -set -e - -if [[ `lscpu | grep -o "GenuineIntel"` != "GenuineIntel" ]]; then - echo "OpenVINO supports only Intel CPUs" - exit 1 -fi - -if [[ `lscpu | grep -o "sse4" | head -1` != "sse4" ]] && [[ `lscpu | grep -o "avx2" | head -1` != "avx2" ]]; then - echo "OpenVINO expects your CPU to support SSE4 or AVX2 instructions" - exit 1 -fi - - -cd /tmp/components/openvino - -tar -xzf `ls | grep "openvino_toolkit"` -cd `ls -d */ | grep "openvino_toolkit"` - -apt-get update && apt-get --no-install-recommends install -y sudo cpio && \ - if [ -f "install_cv_sdk_dependencies.sh" ]; then ./install_cv_sdk_dependencies.sh; \ - else ./install_openvino_dependencies.sh; fi && SUDO_FORCE_REMOVE=yes apt-get remove -y sudo - - -cat ../eula.cfg >> silent.cfg -./install.sh -s silent.cfg - -cd /tmp/components && rm openvino -r - -if [ -f "/opt/intel/computer_vision_sdk/bin/setupvars.sh" ]; then - echo "source /opt/intel/computer_vision_sdk/bin/setupvars.sh" >> ${HOME}/.bashrc; - echo -e '\nexport IE_PLUGINS_PATH=${IE_PLUGINS_PATH}' >> /opt/intel/computer_vision_sdk/bin/setupvars.sh; -else - echo "source /opt/intel/openvino/bin/setupvars.sh" >> ${HOME}/.bashrc; - echo -e '\nexport IE_PLUGINS_PATH=${IE_PLUGINS_PATH}' >> /opt/intel/openvino/bin/setupvars.sh; -fi diff --git a/components/tf_annotation/README.md b/components/tf_annotation/README.md deleted file mode 100644 index 5a9a2c10..00000000 --- a/components/tf_annotation/README.md +++ /dev/null @@ -1,41 +0,0 @@ -## [Tensorflow Object Detector](https://github.com/tensorflow/models/tree/master/research/object_detection) - -### What is it? -* This application allows you automatically to annotate many various objects on images. -* It uses [Faster RCNN Inception Resnet v2 Atrous Coco Model](http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz) from [tensorflow detection model zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md) -* It can work on CPU (with Tensorflow or OpenVINO) or GPU (with Tensorflow GPU). -* It supports next classes (just specify them in "labels" row): -``` -'surfboard', 'car', 'skateboard', 'boat', 'clock', -'cat', 'cow', 'knife', 'apple', 'cup', 'tv', -'baseball_bat', 'book', 'suitcase', 'tennis_racket', -'stop_sign', 'couch', 'cell_phone', 'keyboard', -'cake', 'tie', 'frisbee', 'truck', 'fire_hydrant', -'snowboard', 'bed', 'vase', 'teddy_bear', -'toaster', 'wine_glass', 'traffic_light', -'broccoli', 'backpack', 'carrot', 'potted_plant', -'donut', 'umbrella', 'parking_meter', 'bottle', -'sandwich', 'motorcycle', 'bear', 'banana', -'person', 'scissors', 'elephant', 'dining_table', -'toothbrush', 'toilet', 'skis', 'bowl', 'sheep', -'refrigerator', 'oven', 'microwave', 'train', -'orange', 'mouse', 'laptop', 'bench', 'bicycle', -'fork', 'kite', 'zebra', 'baseball_glove', 'bus', -'spoon', 'horse', 'handbag', 'pizza', 'sports_ball', -'airplane', 'hair_drier', 'hot_dog', 'remote', -'sink', 'dog', 'bird', 'giraffe', 'chair'. -``` -* Component adds "Run TF Annotation" button into dashboard. - - -### Build docker image -```bash -# From project root directory -docker-compose -f docker-compose.yml -f components/tf_annotation/docker-compose.tf_annotation.yml build -``` - -### Run docker container -```bash -# From project root directory -docker-compose -f docker-compose.yml -f components/tf_annotation/docker-compose.tf_annotation.yml up -d -``` diff --git a/components/tf_annotation/docker-compose.tf_annotation.yml b/components/tf_annotation/docker-compose.tf_annotation.yml deleted file mode 100644 index 89fd7844..00000000 --- a/components/tf_annotation/docker-compose.tf_annotation.yml +++ /dev/null @@ -1,13 +0,0 @@ -# -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT -# -version: "2.3" - -services: - cvat: - build: - context: . - args: - TF_ANNOTATION: "yes" diff --git a/components/tf_annotation/install.sh b/components/tf_annotation/install.sh deleted file mode 100755 index 8dc03483..00000000 --- a/components/tf_annotation/install.sh +++ /dev/null @@ -1,15 +0,0 @@ -#!/bin/bash -# -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT -# -set -e - -cd ${HOME} && \ -curl http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz -o model.tar.gz && \ -tar -xzf model.tar.gz && rm model.tar.gz && \ -mv faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28 ${HOME}/rcnn && cd ${HOME} && \ -mv rcnn/frozen_inference_graph.pb rcnn/inference_graph.pb - -# tensorflow is installed globally diff --git a/cvat-canvas/package-lock.json b/cvat-canvas/package-lock.json index 6ea8a30f..b50b6223 100644 --- a/cvat-canvas/package-lock.json +++ b/cvat-canvas/package-lock.json @@ -3223,9 +3223,9 @@ "dev": true }, "elliptic": { - "version": "6.5.0", - "resolved": "https://registry.npmjs.org/elliptic/-/elliptic-6.5.0.tgz", - "integrity": "sha512-eFOJTMyCYb7xtE/caJ6JJu+bhi67WCYNbkGSknu20pmM8Ke/bqOfdnZWxyoGN26JgfxTbXrsCkEw4KheCT/KGg==", + "version": "6.5.3", + "resolved": "https://registry.npmjs.org/elliptic/-/elliptic-6.5.3.tgz", + "integrity": "sha512-IMqzv5wNQf+E6aHeIqATs0tOLeOTwj1QKbRcS3jBbYkl5oLAserA8yJTT7/VyHUYG91PRmPyeQDObKLPpeS4dw==", "dev": true, "requires": { "bn.js": "^4.4.0", diff --git a/cvat-canvas/src/typescript/canvasView.ts b/cvat-canvas/src/typescript/canvasView.ts index 7194b0da..4eb95a8f 100644 --- a/cvat-canvas/src/typescript/canvasView.ts +++ b/cvat-canvas/src/typescript/canvasView.ts @@ -189,7 +189,7 @@ export class CanvasViewImpl implements CanvasView, Listener { } private onEditDone(state: any, points: number[]): void { - if (state && points) { + if (state && points) { const event: CustomEvent = new CustomEvent('canvas.edited', { bubbles: false, cancelable: true, @@ -1732,7 +1732,12 @@ export class CanvasViewImpl implements CanvasView, Listener { private addText(state: any): SVG.Text { const { undefinedAttrValue } = this.configuration; - const { label, clientID, attributes, source } = state; + const { + label, + clientID, + attributes, + source, + } = state; const attrNames = label.attributes.reduce((acc: any, val: any): void => { acc[val.id] = val.name; return acc; diff --git a/cvat-core/.gitignore b/cvat-core/.gitignore index 80b08369..b9d6abb3 100644 --- a/cvat-core/.gitignore +++ b/cvat-core/.gitignore @@ -1,6 +1,5 @@ docs node_modules reports -package-lock.json yarn.lock dist diff --git a/cvat-core/package-lock.json b/cvat-core/package-lock.json new file mode 100644 index 00000000..d79d54d0 --- /dev/null +++ b/cvat-core/package-lock.json @@ 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"string-width": "^3.0.0", + "which-module": "^2.0.0", + "y18n": "^4.0.0", + "yargs-parser": "^13.1.2" + } + }, + "yargs-parser": { + "version": "13.1.2", + "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-13.1.2.tgz", + "integrity": "sha512-3lbsNRf/j+A4QuSZfDRA7HRSfWrzO0YjqTJd5kjAq37Zep1CEgaYmrH9Q3GwPiB9cHyd1Y1UwggGhJGoxipbzg==", + "requires": { + "camelcase": "^5.0.0", + "decamelize": "^1.2.0" + } + } + } +} diff --git a/cvat-core/package.json b/cvat-core/package.json index 63ef4136..7d75dbc5 100644 --- a/cvat-core/package.json +++ b/cvat-core/package.json @@ -1,6 +1,6 @@ { "name": "cvat-core", - "version": "3.1.2", + "version": "3.4.0", "description": "Part of Computer Vision Tool which presents an interface for client-side integration", "main": "babel.config.js", "scripts": { @@ -27,7 +27,7 @@ "eslint-plugin-security": "^1.4.0", "jest": "^24.8.0", "jest-junit": "^6.4.0", - "jsdoc": "^3.6.2", + "jsdoc": "^3.6.4", "webpack": "^4.31.0", "webpack-cli": "^3.3.2" }, diff --git a/cvat-core/src/api-implementation.js b/cvat-core/src/api-implementation.js index da83fcac..32dd6c5b 100644 --- a/cvat-core/src/api-implementation.js +++ b/cvat-core/src/api-implementation.js @@ -1,5 +1,5 @@ /* -* Copyright (C) 2019 Intel Corporation +* Copyright (C) 2019-2020 Intel Corporation * SPDX-License-Identifier: MIT */ @@ -12,6 +12,7 @@ (() => { const PluginRegistry = require('./plugins'); const serverProxy = require('./server-proxy'); + const lambdaManager = require('./lambda-manager'); const { isBoolean, isInteger, @@ -20,10 +21,7 @@ checkFilter, } = require('./common'); - const { - TaskStatus, - TaskMode, - } = require('./enums'); + const { TaskStatus, TaskMode } = require('./enums'); const User = require('./user'); const { AnnotationFormats } = require('./annotation-formats.js'); @@ -54,6 +52,13 @@ cvat.plugins.list.implementation = PluginRegistry.list; cvat.plugins.register.implementation = PluginRegistry.register.bind(cvat); + cvat.lambda.list.implementation = lambdaManager.list.bind(lambdaManager); + cvat.lambda.run.implementation = lambdaManager.run.bind(lambdaManager); + cvat.lambda.call.implementation = lambdaManager.call.bind(lambdaManager); + cvat.lambda.cancel.implementation = lambdaManager.cancel.bind(lambdaManager); + cvat.lambda.listen.implementation = lambdaManager.listen.bind(lambdaManager); + cvat.lambda.requests.implementation = lambdaManager.requests.bind(lambdaManager); + cvat.server.about.implementation = async () => { const result = await serverProxy.server.about(); return result; @@ -88,6 +93,10 @@ await serverProxy.server.logout(); }; + cvat.server.changePassword.implementation = async (oldPassword, newPassword1, newPassword2) => { + await serverProxy.server.changePassword(oldPassword, newPassword1, newPassword2); + }; + cvat.server.authorized.implementation = async () => { const result = await serverProxy.server.authorized(); return result; diff --git a/cvat-core/src/api.js b/cvat-core/src/api.js index 41a7007a..ab5ba39b 100644 --- a/cvat-core/src/api.js +++ b/cvat-core/src/api.js @@ -20,6 +20,7 @@ function build() { const Statistics = require('./statistics'); const { Job, Task } = require('./session'); const { Attribute, Label } = require('./labels'); + const MLModel = require('./ml-model'); const { ShareFileType, @@ -30,6 +31,7 @@ function build() { ObjectShape, LogType, HistoryActions, + RQStatus, colors, Source, } = require('./enums'); @@ -128,10 +130,10 @@ function build() { * @throws {module:API.cvat.exceptions.PluginError} * @throws {module:API.cvat.exceptions.ServerError} */ - async userAgreements() { - const result = await PluginRegistry - .apiWrapper(cvat.server.userAgreements); - return result; + async userAgreements() { + const result = await PluginRegistry + .apiWrapper(cvat.server.userAgreements); + return result; }, /** @@ -149,7 +151,15 @@ function build() { * @throws {module:API.cvat.exceptions.PluginError} * @throws {module:API.cvat.exceptions.ServerError} */ - async register(username, firstName, lastName, email, password1, password2, userConfirmations) { + async register( + username, + firstName, + lastName, + email, + password1, + password2, + userConfirmations, + ) { const result = await PluginRegistry .apiWrapper(cvat.server.register, username, firstName, lastName, email, password1, password2, userConfirmations); @@ -183,6 +193,19 @@ function build() { .apiWrapper(cvat.server.logout); return result; }, + /** + * Method allows to change user password + * @method changePassword + * @async + * @memberof module:API.cvat.server + * @throws {module:API.cvat.exceptions.PluginError} + * @throws {module:API.cvat.exceptions.ServerError} + */ + async changePassword(oldPassword, newPassword1, newPassword2) { + const result = await PluginRegistry + .apiWrapper(cvat.server.changePassword, oldPassword, newPassword1, newPassword2); + return result; + }, /** * Method allows to know whether you are authorized on the server * @method authorized @@ -424,6 +447,119 @@ function build() { return result; }, }, + /** + * Namespace is used for serverless functions management (mainly related with DL models) + * @namespace lambda + * @memberof module:API.cvat + */ + lambda: { + /** + * Method returns list of available serverless models + * @method list + * @async + * @memberof module:API.cvat.lambda + * @returns {module:API.cvat.classes.MLModel[]} + * @throws {module:API.cvat.exceptions.ServerError} + * @throws {module:API.cvat.exceptions.PluginError} + */ + async list() { + const result = await PluginRegistry + .apiWrapper(cvat.lambda.list); + return result; + }, + + /** + * Run long-time request for a function on a specific task + * @method run + * @async + * @memberof module:API.cvat.lambda + * @param {module:API.cvat.classes.Task} task task to be annotated + * @param {module:API.cvat.classes.MLModel} model model used to get annotation + * @param {object} [args] extra arguments + * @returns {string} requestID + * @throws {module:API.cvat.exceptions.ServerError} + * @throws {module:API.cvat.exceptions.PluginError} + * @throws {module:API.cvat.exceptions.ArgumentError} + */ + async run(task, model, args) { + const result = await PluginRegistry + .apiWrapper(cvat.lambda.run, task, model, args); + return result; + }, + + /** + * Run short-time request for a function on a specific task + * @method call + * @async + * @memberof module:API.cvat.lambda + * @param {module:API.cvat.classes.Task} task task to be annotated + * @param {module:API.cvat.classes.MLModel} model model used to get annotation + * @param {object} [args] extra arguments + * @returns {string} requestID + * @throws {module:API.cvat.exceptions.ServerError} + * @throws {module:API.cvat.exceptions.PluginError} + * @throws {module:API.cvat.exceptions.ArgumentError} + */ + async call(task, model, args) { + const result = await PluginRegistry + .apiWrapper(cvat.lambda.call, task, model, args); + return result; + }, + + /** + * Cancel running of a serverless function for a specific task + * @method cancel + * @async + * @memberof module:API.cvat.lambda + * @param {string} requestID + * @throws {module:API.cvat.exceptions.ServerError} + * @throws {module:API.cvat.exceptions.PluginError} + * @throws {module:API.cvat.exceptions.ArgumentError} + */ + async cancel(requestID) { + const result = await PluginRegistry + .apiWrapper(cvat.lambda.cancel, requestID); + return result; + }, + + /** + * @callback onRequestStatusChange + * @param {string} status + * @param {number} progress + * @param {string} [message] + * @global + */ + /** + * Listen for a specific request + * @method listen + * @async + * @memberof module:API.cvat.lambda + * @param {string} requestID + * @param {onRequestStatusChange} onChange + * @throws {module:API.cvat.exceptions.ArgumentError} + * @throws {module:API.cvat.exceptions.ServerError} + * @throws {module:API.cvat.exceptions.PluginError} + */ + async listen(requestID, onChange) { + const result = await PluginRegistry + .apiWrapper(cvat.lambda.listen, requestID, onChange); + return result; + }, + + /** + * Get active lambda requests + * @method requests + * @async + * @memberof module:API.cvat.lambda + * @throws {module:API.cvat.exceptions.ServerError} + * @throws {module:API.cvat.exceptions.PluginError} + */ + async requests() { + const result = await PluginRegistry + .apiWrapper(cvat.lambda.requests); + return result; + }, + }, /** * Namespace to working with logs * @namespace logger @@ -531,6 +667,7 @@ function build() { ObjectShape, LogType, HistoryActions, + RQStatus, colors, Source, }, @@ -561,6 +698,7 @@ function build() { Label, Statistics, ObjectState, + MLModel, }, }; @@ -569,6 +707,7 @@ function build() { cvat.jobs = Object.freeze(cvat.jobs); cvat.users = Object.freeze(cvat.users); cvat.plugins = Object.freeze(cvat.plugins); + cvat.lambda = Object.freeze(cvat.lambda); cvat.client = Object.freeze(cvat.client); cvat.enums = Object.freeze(cvat.enums); diff --git a/cvat-core/src/enums.js b/cvat-core/src/enums.js index a1a5918f..c7b6c595 100644 --- a/cvat-core/src/enums.js +++ b/cvat-core/src/enums.js @@ -34,6 +34,26 @@ COMPLETED: 'completed', }); + /** + * List of RQ statuses + * @enum {string} + * @name RQStatus + * @memberof module:API.cvat.enums + * @property {string} QUEUED 'queued' + * @property {string} STARTED 'started' + * @property {string} FINISHED 'finished' + * @property {string} FAILED 'failed' + * @property {string} UNKNOWN 'unknown' + * @readonly + */ + const RQStatus = Object.freeze({ + QUEUED: 'queued', + STARTED: 'started', + FINISHED: 'finished', + FAILED: 'failed', + UNKNOWN: 'unknown', + }); + /** * Task modes * @enum {string} @@ -232,6 +252,18 @@ REMOVED_OBJECT: 'Removed object', }); + /** + * Enum string values. + * @name ModelType + * @memberof module:API.cvat.enums + * @enum {string} + */ + const ModelType = { + DETECTOR: 'detector', + INTERACTOR: 'interactor', + TRACKER: 'tracker', + }; + /** * Array of hex colors * @name colors @@ -255,7 +287,9 @@ ObjectType, ObjectShape, LogType, + ModelType, HistoryActions, + RQStatus, colors, Source, }; diff --git a/cvat-core/src/frames.js b/cvat-core/src/frames.js index 66145a06..0e95d42d 100644 --- a/cvat-core/src/frames.js +++ b/cvat-core/src/frames.js @@ -605,10 +605,18 @@ }; } + function clear(taskID) { + if (taskID in frameDataCache) { + frameDataCache[taskID].frameBuffer.clear(); + delete frameDataCache[taskID]; + } + } + module.exports = { FrameData, getFrame, getRanges, getPreview, + clear, }; })(); diff --git a/cvat-core/src/lambda-manager.js b/cvat-core/src/lambda-manager.js new file mode 100644 index 00000000..4b936cd2 --- /dev/null +++ b/cvat-core/src/lambda-manager.js @@ -0,0 +1,126 @@ +/* +* Copyright (C) 2020 Intel Corporation +* SPDX-License-Identifier: MIT +*/ + +/* global + require:false +*/ + +const serverProxy = require('./server-proxy'); +const { ArgumentError } = require('./exceptions'); +const { Task } = require('./session'); +const MLModel = require('./ml-model'); +const { RQStatus } = require('./enums'); + +class LambdaManager { + constructor() { + this.listening = {}; + this.cachedList = null; + } + + async list() { + if (Array.isArray(this.cachedList)) { + return [...this.cachedList]; + } + + const result = await serverProxy.lambda.list(); + const models = []; + + for (const model of result) { + models.push(new MLModel({ + id: model.id, + name: model.name, + description: model.description, + framework: model.framework, + labels: [...model.labels], + type: model.kind, + })); + } + + this.cachedList = models; + return models; + } + + async run(task, model, args) { + if (!(task instanceof Task)) { + throw new ArgumentError( + `Argument task is expected to be an instance of Task class, but got ${typeof (task)}`, + ); + } + + if (!(model instanceof MLModel)) { + throw new ArgumentError( + `Argument model is expected to be an instance of MLModel class, but got ${typeof (model)}`, + ); + } + + if (args && typeof (args) !== 'object') { + throw new ArgumentError( + `Argument args is expected to be an object, but got ${typeof (model)}`, + ); + } + + const body = args; + body.task = task.id; + body.function = model.id; + + const result = await serverProxy.lambda.run(body); + return result.id; + } + + async call(task, model, args) { + const body = args; + body.task = task.id; + const result = await serverProxy.lambda.call(model.id, body); + return result; + } + + async requests() { + const result = await serverProxy.lambda.requests(); + return result.filter((request) => ['queued', 'started'].includes(request.status)); + } + + async cancel(requestID) { + if (typeof (requestID) !== 'string') { + throw new ArgumentError(`Request id argument is required to be a string. But got ${requestID}`); + } + + if (this.listening[requestID]) { + clearTimeout(this.listening[requestID].timeout); + delete this.listening[requestID]; + } + await serverProxy.lambda.cancel(requestID); + } + + async listen(requestID, onUpdate) { + const timeoutCallback = async () => { + try { + this.listening[requestID].timeout = null; + const response = await serverProxy.lambda.status(requestID); + + if (response.status === RQStatus.QUEUED || response.status === RQStatus.STARTED) { + onUpdate(response.status, response.progress || 0); + this.listening[requestID].timeout = setTimeout(timeoutCallback, 2000); + } else { + if (response.status === RQStatus.FINISHED) { + onUpdate(response.status, response.progress || 100); + } else { + onUpdate(response.status, response.progress || 0, response.exc_info || ''); + } + + delete this.listening[requestID]; + } + } catch (error) { + onUpdate(RQStatus.UNKNOWN, 0, `Could not get a status of the request ${requestID}. ${error.toString()}`); + } + }; + + this.listening[requestID] = { + onUpdate, + timeout: setTimeout(timeoutCallback, 2000), + }; + } +} + +module.exports = new LambdaManager(); diff --git a/cvat-core/src/ml-model.js b/cvat-core/src/ml-model.js new file mode 100644 index 00000000..4169be8e --- /dev/null +++ b/cvat-core/src/ml-model.js @@ -0,0 +1,73 @@ +/* +* Copyright (C) 2019-2020 Intel Corporation +* SPDX-License-Identifier: MIT +*/ + +/** + * Class representing a machine learning model + * @memberof module:API.cvat.classes +*/ +class MLModel { + constructor(data) { + this._id = data.id; + this._name = data.name; + this._labels = data.labels; + this._framework = data.framework; + this._description = data.description; + this._type = data.type; + } + + /** + * @returns {string} + * @readonly + */ + get id() { + return this._id; + } + + /** + * @returns {string} + * @readonly + */ + get name() { + return this._name; + } + + /** + * @returns {string[]} + * @readonly + */ + get labels() { + if (Array.isArray(this._labels)) { + return [...this._labels]; + } + + return []; + } + + /** + * @returns {string} + * @readonly + */ + get framework() { + return this._framework; + } + + /** + * @returns {string} + * @readonly + */ + get description() { + return this._description; + } + + /** + * @returns {module:API.cvat.enums.ModelType} + * @readonly + */ + get type() { + return this._type; + } +} + +module.exports = MLModel; diff --git a/cvat-core/src/server-proxy.js b/cvat-core/src/server-proxy.js index 5b685114..4a0c9ebd 100644 --- a/cvat-core/src/server-proxy.js +++ b/cvat-core/src/server-proxy.js @@ -162,7 +162,6 @@ response = await Axios.get(`${backendAPI}/restrictions/user-agreements`, { proxy: config.proxy, }); - } catch (errorData) { throw generateError(errorData); } @@ -170,7 +169,15 @@ return response.data; } - async function register(username, firstName, lastName, email, password1, password2, confirmations) { + async function register( + username, + firstName, + lastName, + email, + password1, + password2, + confirmations, + ) { let response = null; try { const data = JSON.stringify({ @@ -239,6 +246,24 @@ Axios.defaults.headers.common.Authorization = ''; } + async function changePassword(oldPassword, newPassword1, newPassword2) { + try { + const data = JSON.stringify({ + old_password: oldPassword, + new_password1: newPassword1, + new_password2:newPassword2, + }); + await Axios.post(`${config.backendAPI}/auth/password/change`, data, { + proxy: config.proxy, + headers: { + 'Content-Type': 'application/json', + }, + }); + } catch (errorData) { + throw generateError(errorData); + } + } + async function authorized() { try { await module.exports.users.getSelf(); @@ -662,6 +687,96 @@ } } + async function getLambdaFunctions() { + const { backendAPI } = config; + + try { + const response = await Axios.get(`${backendAPI}/lambda/functions`, { + proxy: config.proxy, + }); + return response.data; + } catch (errorData) { + throw generateError(errorData); + } + } + + async function runLambdaRequest(body) { + const { backendAPI } = config; + + try { + const response = await Axios.post(`${backendAPI}/lambda/requests`, + JSON.stringify(body), { + proxy: config.proxy, + headers: { + 'Content-Type': 'application/json', + }, + }); + + return response.data; + } catch (errorData) { + throw generateError(errorData); + } + } + + async function callLambdaFunction(funId, body) { + const { backendAPI } = config; + + try { + const response = await Axios.post(`${backendAPI}/lambda/functions/${funId}`, + JSON.stringify(body), { + proxy: config.proxy, + headers: { + 'Content-Type': 'application/json', + }, + }); + + return response.data; + } catch (errorData) { + throw generateError(errorData); + } + } + + async function getLambdaRequests() { + const { backendAPI } = config; + + try { + const response = await Axios.get(`${backendAPI}/lambda/requests`, { + proxy: config.proxy, + }); + + return response.data; + } catch (errorData) { + throw generateError(errorData); + } + } + + async function getRequestStatus(requestID) { + const { backendAPI } = config; + + try { + const response = await Axios.get(`${backendAPI}/lambda/requests/${requestID}`, { + proxy: config.proxy, + }); + return response.data; + } catch (errorData) { + throw generateError(errorData); + } + } + + async function cancelLambdaRequest(requestId) { + const { backendAPI } = config; + + try { + await Axios.delete( + `${backendAPI}/lambda/requests/${requestId}`, { + method: 'DELETE', + }, + ); + } catch (errorData) { + throw generateError(errorData); + } + } + Object.defineProperties(this, Object.freeze({ server: { value: Object.freeze({ @@ -671,6 +786,7 @@ exception, login, logout, + changePassword, authorized, register, request: serverRequest, @@ -731,6 +847,18 @@ }), writable: false, }, + + lambda: { + value: Object.freeze({ + list: getLambdaFunctions, + status: getRequestStatus, + requests: getLambdaRequests, + run: runLambdaRequest, + call: callLambdaFunction, + cancel: cancelLambdaRequest, + }), + writable: false, + }, })); } } diff --git a/cvat-core/src/session.js b/cvat-core/src/session.js index ccaff82c..4707e13c 100644 --- a/cvat-core/src/session.js +++ b/cvat-core/src/session.js @@ -11,7 +11,12 @@ const PluginRegistry = require('./plugins'); const loggerStorage = require('./logger-storage'); const serverProxy = require('./server-proxy'); - const { getFrame, getRanges, getPreview } = require('./frames'); + const { + getFrame, + getRanges, + getPreview, + clear: clearFrames, + } = require('./frames'); const { ArgumentError } = require('./exceptions'); const { TaskStatus } = require('./enums'); const { Label } = require('./labels'); @@ -1612,6 +1617,7 @@ }; Task.prototype.close.implementation = function closeTask() { + clearFrames(this.id); for (const job of this.jobs) { closeSession(job); } diff --git a/cvat-data/package-lock.json b/cvat-data/package-lock.json index 4a96cca3..f392ce8e 100644 --- a/cvat-data/package-lock.json +++ b/cvat-data/package-lock.json @@ -1,6 +1,6 @@ { "name": "cvat-data", - "version": "1.0.0", + "version": "1.0.1", "lockfileVersion": 1, "requires": true, "dependencies": { diff --git a/cvat-data/package.json b/cvat-data/package.json index eb78de78..5c42155e 100644 --- a/cvat-data/package.json +++ b/cvat-data/package.json @@ -1,6 +1,6 @@ { "name": "cvat-data", - "version": "1.0.0", + "version": "1.0.1", "description": "", "main": "src/js/cvat-data.js", "devDependencies": { diff --git a/cvat-data/src/js/cvat-data.js b/cvat-data/src/js/cvat-data.js index 8484e9ac..86a0a6d0 100644 --- a/cvat-data/src/js/cvat-data.js +++ b/cvat-data/src/js/cvat-data.js @@ -295,7 +295,26 @@ class FrameProvider { worker.terminate(); }; - worker.onmessage = (event) => { + worker.onmessage = async (event) => { + if (event.data.isRaw) { + // safary doesn't support createImageBitmap + // there is a way to polyfill it with using document.createElement + // but document.createElement doesn't work in worker + // so, we get raw data and decode it here, no other way + + const createImageBitmap = async function(blob) { + return new Promise((resolve,reject) => { + let img = document.createElement('img'); + img.addEventListener('load', function() { + resolve(this); + }); + img.src = URL.createObjectURL(blob); + }); + }; + + event.data.data = await createImageBitmap(event.data.data); + } + this._frames[event.data.index] = event.data.data; if (this._decodingBlocks[`${start}:${end}`].resolveCallback) { diff --git a/cvat-data/src/js/unzip_imgs.worker.js b/cvat-data/src/js/unzip_imgs.worker.js index f704e098..68d0b2a5 100644 --- a/cvat-data/src/js/unzip_imgs.worker.js +++ b/cvat-data/src/js/unzip_imgs.worker.js @@ -20,13 +20,22 @@ onmessage = (e) => { const fileIndex = index++; if (fileIndex <= end) { _zip.file(relativePath).async('blob').then((fileData) => { - createImageBitmap(fileData).then((img) => { + if (self.createImageBitmap) { + createImageBitmap(fileData).then((img) => { + postMessage({ + fileName: relativePath, + index: fileIndex, + data: img, + }); + }); + } else { postMessage({ fileName: relativePath, index: fileIndex, - data: img, + data: fileData, + isRaw: true, }); - }); + } }); } }); diff --git a/cvat-ui/package-lock.json b/cvat-ui/package-lock.json index 26e0217c..8def8aaa 100644 --- a/cvat-ui/package-lock.json +++ b/cvat-ui/package-lock.json @@ -1,6 +1,6 @@ { "name": "cvat-ui", - "version": "1.6.4", + "version": "1.7.1", "lockfileVersion": 1, "requires": true, "dependencies": { @@ -5139,7 +5139,6 @@ "browserify-rsa": "^4.0.0", "create-hash": "^1.1.0", "create-hmac": "^1.1.2", - "elliptic": "^6.0.0", "inherits": "^2.0.1", "parse-asn1": "^5.0.0" } @@ -5682,8 +5681,7 @@ "resolved": "https://registry.npmjs.org/create-ecdh/-/create-ecdh-4.0.3.tgz", "integrity": "sha512-GbEHQPMOswGpKXM9kCWVrremUcBmjteUaQ01T9rkKCPDXfUHX0IoP9LpHYo2NPFampa4e+/pFDc3jQdxrxQLaw==", "requires": { - "bn.js": "^4.1.0", - "elliptic": "^6.0.0" + "bn.js": "^4.1.0" } }, "create-error-class": { @@ -6172,20 +6170,6 @@ "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.3.199.tgz", "integrity": "sha512-gachlDdHSK47s0N2e58GH9HMC6Z4ip0SfmYUa5iEbE50AKaOUXysaJnXMfKj0xB245jWbYcyFSH+th3rqsF8hA==" }, - "elliptic": { - "version": "6.5.0", - "resolved": "https://registry.npmjs.org/elliptic/-/elliptic-6.5.0.tgz", - "integrity": "sha512-eFOJTMyCYb7xtE/caJ6JJu+bhi67WCYNbkGSknu20pmM8Ke/bqOfdnZWxyoGN26JgfxTbXrsCkEw4KheCT/KGg==", - "requires": { - "bn.js": "^4.4.0", - "brorand": "^1.0.1", - "hash.js": "^1.0.0", - "hmac-drbg": "^1.0.0", - "inherits": "^2.0.1", - "minimalistic-assert": "^1.0.0", - "minimalistic-crypto-utils": "^1.0.0" - } - }, "emoji-regex": { "version": "7.0.3", "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-7.0.3.tgz", @@ -14089,7 +14073,6 @@ "browserify-rsa": "^4.0.0", "create-hash": "^1.1.0", "create-hmac": "^1.1.2", - "elliptic": "^6.0.0", "inherits": "^2.0.1", "parse-asn1": "^5.0.0" } @@ -14503,8 +14486,7 @@ "resolved": "https://registry.npmjs.org/create-ecdh/-/create-ecdh-4.0.3.tgz", "integrity": "sha512-GbEHQPMOswGpKXM9kCWVrremUcBmjteUaQ01T9rkKCPDXfUHX0IoP9LpHYo2NPFampa4e+/pFDc3jQdxrxQLaw==", "requires": { - "bn.js": "^4.1.0", - "elliptic": "^6.0.0" + "bn.js": "^4.1.0" } }, "create-hash": { @@ -14969,20 +14951,6 @@ "resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.3.377.tgz", "integrity": "sha512-cm2WzMKf/3dW5+hNANKm8GAW6SwIWOqLTJ6GPCD0Bbw1qJ9Wzm9nmx9M+byzSsgw8CdCv5fb/wzLFqVS5h6QrA==" }, - "elliptic": { - "version": "6.5.2", - "resolved": "https://registry.npmjs.org/elliptic/-/elliptic-6.5.2.tgz", - "integrity": "sha512-f4x70okzZbIQl/NSRLkI/+tteV/9WqL98zx+SQ69KbXxmVrmjwsNUPn/gYJJ0sHvEak24cZgHIPegRePAtA/xw==", - "requires": { - "bn.js": "^4.4.0", - "brorand": "^1.0.1", - "hash.js": "^1.0.0", - "hmac-drbg": "^1.0.0", - "inherits": "^2.0.1", - "minimalistic-assert": "^1.0.0", - "minimalistic-crypto-utils": "^1.0.0" - } - }, "emoji-regex": { "version": "7.0.3", "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-7.0.3.tgz", @@ -21482,9 +21450,9 @@ "dev": true }, "elliptic": { - "version": "6.5.2", - "resolved": "https://registry.npmjs.org/elliptic/-/elliptic-6.5.2.tgz", - "integrity": "sha512-f4x70okzZbIQl/NSRLkI/+tteV/9WqL98zx+SQ69KbXxmVrmjwsNUPn/gYJJ0sHvEak24cZgHIPegRePAtA/xw==", + "version": "6.5.3", + "resolved": "https://registry.npmjs.org/elliptic/-/elliptic-6.5.3.tgz", + "integrity": "sha512-IMqzv5wNQf+E6aHeIqATs0tOLeOTwj1QKbRcS3jBbYkl5oLAserA8yJTT7/VyHUYG91PRmPyeQDObKLPpeS4dw==", "dev": true, "requires": { "bn.js": "^4.4.0", diff --git a/cvat-ui/package.json b/cvat-ui/package.json index add2deab..f20e3eb6 100644 --- a/cvat-ui/package.json +++ b/cvat-ui/package.json @@ -1,6 +1,6 @@ { "name": "cvat-ui", - "version": "1.6.4", + "version": "1.7.1", "description": "CVAT single-page application", "main": "src/index.tsx", "scripts": { diff --git a/cvat-ui/src/actions/auth-actions.ts b/cvat-ui/src/actions/auth-actions.ts index f7a0f3e9..3aff6ef3 100644 --- a/cvat-ui/src/actions/auth-actions.ts +++ b/cvat-ui/src/actions/auth-actions.ts @@ -5,6 +5,7 @@ import { ActionUnion, createAction, ThunkAction } from 'utils/redux'; import { UserConfirmation } from 'components/register-page/register-form'; import getCore from 'cvat-core-wrapper'; +import isReachable from 'utils/url-checker'; const cvat = getCore(); @@ -20,9 +21,16 @@ export enum AuthActionTypes { LOGOUT = 'LOGOUT', LOGOUT_SUCCESS = 'LOGOUT_SUCCESS', LOGOUT_FAILED = 'LOGOUT_FAILED', + CHANGE_PASSWORD = 'CHANGE_PASSWORD', + CHANGE_PASSWORD_SUCCESS = 'CHANGE_PASSWORD_SUCCESS', + CHANGE_PASSWORD_FAILED = 'CHANGE_PASSWORD_FAILED', + SWITCH_CHANGE_PASSWORD_DIALOG = 'SWITCH_CHANGE_PASSWORD_DIALOG', + LOAD_AUTH_ACTIONS = 'LOAD_AUTH_ACTIONS', + LOAD_AUTH_ACTIONS_SUCCESS = 'LOAD_AUTH_ACTIONS_SUCCESS', + LOAD_AUTH_ACTIONS_FAILED = 'LOAD_AUTH_ACTIONS_FAILED', } -const authActions = { +export const authActions = { authorizeSuccess: (user: any) => createAction(AuthActionTypes.AUTHORIZED_SUCCESS, { user }), authorizeFailed: (error: any) => createAction(AuthActionTypes.AUTHORIZED_FAILED, { error }), login: () => createAction(AuthActionTypes.LOGIN), @@ -34,6 +42,21 @@ const authActions = { logout: () => createAction(AuthActionTypes.LOGOUT), logoutSuccess: () => createAction(AuthActionTypes.LOGOUT_SUCCESS), logoutFailed: (error: any) => createAction(AuthActionTypes.LOGOUT_FAILED, { error }), + changePassword: () => createAction(AuthActionTypes.CHANGE_PASSWORD), + changePasswordSuccess: () => createAction(AuthActionTypes.CHANGE_PASSWORD_SUCCESS), + changePasswordFailed: (error: any) => ( + createAction(AuthActionTypes.CHANGE_PASSWORD_FAILED, { error }) + ), + switchChangePasswordDialog: (showChangePasswordDialog: boolean) => ( + createAction(AuthActionTypes.SWITCH_CHANGE_PASSWORD_DIALOG, { showChangePasswordDialog }) + ), + loadServerAuthActions: () => createAction(AuthActionTypes.LOAD_AUTH_ACTIONS), + loadServerAuthActionsSuccess: (allowChangePassword: boolean) => ( + createAction(AuthActionTypes.LOAD_AUTH_ACTIONS_SUCCESS, { allowChangePassword }) + ), + loadServerAuthActionsFailed: (error: any) => ( + createAction(AuthActionTypes.LOAD_AUTH_ACTIONS_FAILED, { error }) + ), }; export type AuthActions = ActionUnion; @@ -100,3 +123,30 @@ export const authorizedAsync = (): ThunkAction => async (dispatch) => { dispatch(authActions.authorizeFailed(error)); } }; + +export const changePasswordAsync = (oldPassword: string, + newPassword1: string, newPassword2: string): ThunkAction => async (dispatch) => { + dispatch(authActions.changePassword()); + + try { + await cvat.server.changePassword(oldPassword, newPassword1, newPassword2); + dispatch(authActions.changePasswordSuccess()); + } catch (error) { + dispatch(authActions.changePasswordFailed(error)); + } +}; + +export const loadAuthActionsAsync = (): ThunkAction => async (dispatch) => { + dispatch(authActions.loadServerAuthActions()); + + try { + const promises: Promise[] = [ + isReachable(`${cvat.config.backendAPI}/auth/password/change`, 'OPTIONS'), + ]; + const [allowChangePassword] = await Promise.all(promises); + + dispatch(authActions.loadServerAuthActionsSuccess(allowChangePassword)); + } catch (error) { + dispatch(authActions.loadServerAuthActionsFailed(error)); + } +}; diff --git a/cvat-ui/src/actions/models-actions.ts b/cvat-ui/src/actions/models-actions.ts index eebacbae..1f2afe14 100644 --- a/cvat-ui/src/actions/models-actions.ts +++ b/cvat-ui/src/actions/models-actions.ts @@ -3,27 +3,14 @@ // SPDX-License-Identifier: MIT import { ActionUnion, createAction, ThunkAction } from 'utils/redux'; -import { - Model, - ModelType, - ModelFiles, - ActiveInference, - CombinedState, -} from 'reducers/interfaces'; +import { Model, ActiveInference, RQStatus } from 'reducers/interfaces'; import getCore from 'cvat-core-wrapper'; -export enum PreinstalledModels { - RCNN = 'RCNN Object Detector', - MaskRCNN = 'Mask RCNN Object Detector', -} - export enum ModelsActionTypes { GET_MODELS = 'GET_MODELS', GET_MODELS_SUCCESS = 'GET_MODELS_SUCCESS', GET_MODELS_FAILED = 'GET_MODELS_FAILED', DELETE_MODEL = 'DELETE_MODEL', - DELETE_MODEL_SUCCESS = 'DELETE_MODEL_SUCCESS', - DELETE_MODEL_FAILED = 'DELETE_MODEL_FAILED', CREATE_MODEL = 'CREATE_MODEL', CREATE_MODEL_SUCCESS = 'CREATE_MODEL_SUCCESS', CREATE_MODEL_FAILED = 'CREATE_MODEL_FAILED', @@ -50,28 +37,6 @@ export const modelsActions = { error, }, ), - deleteModelSuccess: (id: number) => createAction( - ModelsActionTypes.DELETE_MODEL_SUCCESS, { - id, - }, - ), - deleteModelFailed: (id: number, error: any) => createAction( - ModelsActionTypes.DELETE_MODEL_FAILED, { - error, id, - }, - ), - createModel: () => createAction(ModelsActionTypes.CREATE_MODEL), - createModelSuccess: () => createAction(ModelsActionTypes.CREATE_MODEL_SUCCESS), - createModelFailed: (error: any) => createAction( - ModelsActionTypes.CREATE_MODEL_FAILED, { - error, - }, - ), - createModelUpdateStatus: (status: string) => createAction( - ModelsActionTypes.CREATE_MODEL_STATUS_UPDATED, { - status, - }, - ), fetchMetaFailed: (error: any) => createAction(ModelsActionTypes.FETCH_META_FAILED, { error }), getInferenceStatusSuccess: (taskID: number, activeInference: ActiveInference) => createAction( ModelsActionTypes.GET_INFERENCE_STATUS_SUCCESS, { @@ -96,7 +61,7 @@ export const modelsActions = { taskID, }, ), - cancelInferenceFaild: (taskID: number, error: any) => createAction( + cancelInferenceFailed: (taskID: number, error: any) => createAction( ModelsActionTypes.CANCEL_INFERENCE_FAILED, { taskID, error, @@ -113,361 +78,76 @@ export const modelsActions = { export type ModelsActions = ActionUnion; const core = getCore(); -const baseURL = core.config.backendAPI.slice(0, -7); export function getModelsAsync(): ThunkAction { - return async (dispatch, getState): Promise => { - const state: CombinedState = getState(); - const OpenVINO = state.plugins.list.AUTO_ANNOTATION; - const RCNN = state.plugins.list.TF_ANNOTATION; - const MaskRCNN = state.plugins.list.TF_SEGMENTATION; - + return async (dispatch): Promise => { dispatch(modelsActions.getModels()); - const models: Model[] = []; try { - if (OpenVINO) { - const response = await core.server.request( - `${baseURL}/auto_annotation/meta/get`, { - method: 'POST', - headers: { - 'Content-Type': 'application/json', - }, - data: JSON.stringify([]), - }, - ); - - - for (const model of response.models) { - models.push({ - id: model.id, - ownerID: model.owner, - primary: model.primary, - name: model.name, - uploadDate: model.uploadDate, - updateDate: model.updateDate, - labels: [...model.labels], - }); - } - } - - if (RCNN) { - models.push({ - id: null, - ownerID: null, - primary: true, - name: PreinstalledModels.RCNN, - uploadDate: '', - updateDate: '', - labels: ['surfboard', 'car', 'skateboard', 'boat', 'clock', - 'cat', 'cow', 'knife', 'apple', 'cup', 'tv', - 'baseball_bat', 'book', 'suitcase', 'tennis_racket', - 'stop_sign', 'couch', 'cell_phone', 'keyboard', - 'cake', 'tie', 'frisbee', 'truck', 'fire_hydrant', - 'snowboard', 'bed', 'vase', 'teddy_bear', - 'toaster', 'wine_glass', 'traffic_light', - 'broccoli', 'backpack', 'carrot', 'potted_plant', - 'donut', 'umbrella', 'parking_meter', 'bottle', - 'sandwich', 'motorcycle', 'bear', 'banana', - 'person', 'scissors', 'elephant', 'dining_table', - 'toothbrush', 'toilet', 'skis', 'bowl', 'sheep', - 'refrigerator', 'oven', 'microwave', 'train', - 'orange', 'mouse', 'laptop', 'bench', 'bicycle', - 'fork', 'kite', 'zebra', 'baseball_glove', 'bus', - 'spoon', 'horse', 'handbag', 'pizza', 'sports_ball', - 'airplane', 'hair_drier', 'hot_dog', 'remote', - 'sink', 'dog', 'bird', 'giraffe', 'chair', - ], - }); - } - - if (MaskRCNN) { - models.push({ - id: null, - ownerID: null, - primary: true, - name: PreinstalledModels.MaskRCNN, - uploadDate: '', - updateDate: '', - labels: ['BG', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', - 'bus', 'train', 'truck', 'boat', 'traffic light', - 'fire hydrant', 'stop sign', 'parking meter', 'bench', 'bird', - 'cat', 'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', - 'zebra', 'giraffe', 'backpack', 'umbrella', 'handbag', 'tie', - 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', - 'kite', 'baseball bat', 'baseball glove', 'skateboard', - 'surfboard', 'tennis racket', 'bottle', 'wine glass', 'cup', - 'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', - 'sandwich', 'orange', 'broccoli', 'carrot', 'hot dog', 'pizza', - 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', - 'dining table', 'toilet', 'tv', 'laptop', 'mouse', 'remote', - 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', - 'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', - 'teddy bear', 'hair drier', 'toothbrush', - ], - }); - } + const models = (await core.lambda.list()) + .filter((model: Model) => ['detector', 'reid'].includes(model.type)); + dispatch(modelsActions.getModelsSuccess(models)); } catch (error) { dispatch(modelsActions.getModelsFailed(error)); - return; } - - dispatch(modelsActions.getModelsSuccess(models)); }; } -export function deleteModelAsync(id: number): ThunkAction { - return async (dispatch): Promise => { - try { - await core.server.request(`${baseURL}/auto_annotation/delete/${id}`, { - method: 'DELETE', - }); - } catch (error) { - dispatch(modelsActions.deleteModelFailed(id, error)); - return; - } - - dispatch(modelsActions.deleteModelSuccess(id)); - }; -} - -export function createModelAsync(name: string, files: ModelFiles, global: boolean): ThunkAction { - return async (dispatch): Promise => { - async function checkCallback(id: string): Promise { - try { - const data = await core.server.request( - `${baseURL}/auto_annotation/check/${id}`, { - method: 'GET', - }, - ); - - switch (data.status) { - case 'failed': - dispatch(modelsActions.createModelFailed( - `Checking request has returned the "${data.status}" status. Message: ${data.error}`, - )); - break; - case 'unknown': - dispatch(modelsActions.createModelFailed( - `Checking request has returned the "${data.status}" status.`, - )); - break; - case 'finished': - dispatch(modelsActions.createModelSuccess()); - break; - default: - if ('progress' in data) { - modelsActions.createModelUpdateStatus(data.progress); - } - setTimeout(checkCallback.bind(null, id), 1000); - } - } catch (error) { - dispatch(modelsActions.createModelFailed(error)); - } - } - - dispatch(modelsActions.createModel()); - const data = new FormData(); - data.append('name', name); - data.append('storage', typeof files.bin === 'string' ? 'shared' : 'local'); - data.append('shared', global.toString()); - Object.keys(files).reduce((acc, key: string): FormData => { - acc.append(key, files[key]); - return acc; - }, data); - - try { - dispatch(modelsActions.createModelUpdateStatus('Request is beign sent..')); - const response = await core.server.request( - `${baseURL}/auto_annotation/create`, { - method: 'POST', - data, - contentType: false, - processData: false, - }, - ); - - dispatch(modelsActions.createModelUpdateStatus('Request is being processed..')); - setTimeout(checkCallback.bind(null, response.id), 1000); - } catch (error) { - dispatch(modelsActions.createModelFailed(error)); - } - }; -} interface InferenceMeta { - active: boolean; taskID: number; requestID: string; - modelType: ModelType; } -const timers: any = {}; - -async function timeoutCallback( - url: string, - taskID: number, - modelType: ModelType, +function listen( + inferenceMeta: InferenceMeta, dispatch: (action: ModelsActions) => void, -): Promise { - try { - delete timers[taskID]; - - const response = await core.server.request(url, { - method: 'GET', - }); - - const activeInference: ActiveInference = { - status: response.status, - progress: +response.progress || 0, - error: response.error || response.stderr || '', - modelType, - }; - - - if (activeInference.status === 'unknown') { - dispatch(modelsActions.getInferenceStatusFailed( - taskID, - new Error( - `Inference status for the task ${taskID} is unknown.`, - ), - )); - - return; - } - - if (activeInference.status === 'failed') { +): void { + const { taskID, requestID } = inferenceMeta; + core.lambda.listen(requestID, (status: RQStatus, progress: number, message: string) => { + if (status === RQStatus.failed || status === RQStatus.unknown) { dispatch(modelsActions.getInferenceStatusFailed( taskID, new Error( - `Inference status for the task ${taskID} is failed. ${activeInference.error}`, + `Inference status for the task ${taskID} is ${status}. ${message}`, ), )); return; } - if (activeInference.status !== 'finished') { - timers[taskID] = setTimeout( - timeoutCallback.bind( - null, - url, - taskID, - modelType, - dispatch, - ), 3000, - ); - } - - dispatch(modelsActions.getInferenceStatusSuccess(taskID, activeInference)); - } catch (error) { - dispatch(modelsActions.getInferenceStatusFailed(taskID, new Error( - `Server request for the task ${taskID} was failed`, - ))); - } -} - -function subscribe( - inferenceMeta: InferenceMeta, - dispatch: (action: ModelsActions) => void, -): void { - if (!(inferenceMeta.taskID in timers)) { - let requestURL = `${baseURL}`; - if (inferenceMeta.modelType === ModelType.OPENVINO) { - requestURL = `${requestURL}/auto_annotation/check`; - } else if (inferenceMeta.modelType === ModelType.RCNN) { - requestURL = `${requestURL}/tensorflow/annotation/check/task`; - } else if (inferenceMeta.modelType === ModelType.MASK_RCNN) { - requestURL = `${requestURL}/tensorflow/segmentation/check/task`; - } - requestURL = `${requestURL}/${inferenceMeta.requestID}`; - timers[inferenceMeta.taskID] = setTimeout( - timeoutCallback.bind( - null, - requestURL, - inferenceMeta.taskID, - inferenceMeta.modelType, - dispatch, - ), - ); - } + dispatch(modelsActions.getInferenceStatusSuccess(taskID, { + status, + progress, + error: message, + id: requestID, + })); + }).catch((error: Error) => { + dispatch(modelsActions.getInferenceStatusFailed(taskID, { + status: 'unknown', + progress: 0, + error: error.toString(), + id: requestID, + })); + }); } -export function getInferenceStatusAsync(tasks: number[]): ThunkAction { - return async (dispatch, getState): Promise => { - function parse(response: any, modelType: ModelType): InferenceMeta[] { - return Object.keys(response).map((key: string): InferenceMeta => ({ - taskID: +key, - requestID: response[key].rq_id || key, - active: typeof (response[key].active) === 'undefined' ? ['queued', 'started'] - .includes(response[key].status.toLowerCase()) : response[key].active, - modelType, - })); - } - - const state: CombinedState = getState(); - const OpenVINO = state.plugins.list.AUTO_ANNOTATION; - const RCNN = state.plugins.list.TF_ANNOTATION; - const MaskRCNN = state.plugins.list.TF_SEGMENTATION; - +export function getInferenceStatusAsync(): ThunkAction { + return async (dispatch): Promise => { const dispatchCallback = (action: ModelsActions): void => { dispatch(action); }; try { - if (OpenVINO) { - const response = await core.server.request( - `${baseURL}/auto_annotation/meta/get`, { - method: 'POST', - data: JSON.stringify(tasks), - headers: { - 'Content-Type': 'application/json', - }, - }, - ); - - parse(response.run, ModelType.OPENVINO) - .filter((inferenceMeta: InferenceMeta): boolean => inferenceMeta.active) - .forEach((inferenceMeta: InferenceMeta): void => { - subscribe(inferenceMeta, dispatchCallback); - }); - } - - if (RCNN) { - const response = await core.server.request( - `${baseURL}/tensorflow/annotation/meta/get`, { - method: 'POST', - data: JSON.stringify(tasks), - headers: { - 'Content-Type': 'application/json', - }, - }, - ); - - parse(response, ModelType.RCNN) - .filter((inferenceMeta: InferenceMeta): boolean => inferenceMeta.active) - .forEach((inferenceMeta: InferenceMeta): void => { - subscribe(inferenceMeta, dispatchCallback); - }); - } - - if (MaskRCNN) { - const response = await core.server.request( - `${baseURL}/tensorflow/segmentation/meta/get`, { - method: 'POST', - data: JSON.stringify(tasks), - headers: { - 'Content-Type': 'application/json', - }, - }, - ); - - parse(response, ModelType.MASK_RCNN) - .filter((inferenceMeta: InferenceMeta): boolean => inferenceMeta.active) - .forEach((inferenceMeta: InferenceMeta): void => { - subscribe(inferenceMeta, dispatchCallback); - }); - } + const requests = await core.lambda.requests(); + requests + .map((request: any): object => ({ + taskID: +request.function.task, + requestID: request.id, + })) + .forEach((inferenceMeta: InferenceMeta): void => { + listen(inferenceMeta, dispatchCallback); + }); } catch (error) { dispatch(modelsActions.fetchMetaFailed(error)); } @@ -477,37 +157,20 @@ export function getInferenceStatusAsync(tasks: number[]): ThunkAction { export function startInferenceAsync( taskInstance: any, model: Model, - mapping: { - [index: string]: string; - }, - cleanOut: boolean, + body: object, ): ThunkAction { return async (dispatch): Promise => { try { - if (model.name === PreinstalledModels.RCNN) { - await core.server.request( - `${baseURL}/tensorflow/annotation/create/task/${taskInstance.id}`, - ); - } else if (model.name === PreinstalledModels.MaskRCNN) { - await core.server.request( - `${baseURL}/tensorflow/segmentation/create/task/${taskInstance.id}`, - ); - } else { - await core.server.request( - `${baseURL}/auto_annotation/start/${model.id}/${taskInstance.id}`, { - method: 'POST', - data: JSON.stringify({ - reset: cleanOut, - labels: mapping, - }), - headers: { - 'Content-Type': 'application/json', - }, - }, - ); - } + const requestID: string = await core.lambda.run(taskInstance, model, body); + + const dispatchCallback = (action: ModelsActions): void => { + dispatch(action); + }; - dispatch(getInferenceStatusAsync([taskInstance.id])); + listen({ + taskID: taskInstance.id, + requestID, + }, dispatchCallback); } catch (error) { dispatch(modelsActions.startInferenceFailed(taskInstance.id, error)); } @@ -518,30 +181,10 @@ export function cancelInferenceAsync(taskID: number): ThunkAction { return async (dispatch, getState): Promise => { try { const inference = getState().models.inferences[taskID]; - if (inference) { - if (inference.modelType === ModelType.OPENVINO) { - await core.server.request( - `${baseURL}/auto_annotation/cancel/${taskID}`, - ); - } else if (inference.modelType === ModelType.RCNN) { - await core.server.request( - `${baseURL}/tensorflow/annotation/cancel/task/${taskID}`, - ); - } else if (inference.modelType === ModelType.MASK_RCNN) { - await core.server.request( - `${baseURL}/tensorflow/segmentation/cancel/task/${taskID}`, - ); - } - - if (timers[taskID]) { - clearTimeout(timers[taskID]); - delete timers[taskID]; - } - } - + await core.lambda.cancel(inference.id); dispatch(modelsActions.cancelInferenceSuccess(taskID)); } catch (error) { - dispatch(modelsActions.cancelInferenceFaild(taskID, error)); + dispatch(modelsActions.cancelInferenceFailed(taskID, error)); } }; } diff --git a/cvat-ui/src/actions/plugins-actions.ts b/cvat-ui/src/actions/plugins-actions.ts index 510f6590..6b5ca2c9 100644 --- a/cvat-ui/src/actions/plugins-actions.ts +++ b/cvat-ui/src/actions/plugins-actions.ts @@ -8,7 +8,7 @@ import PluginChecker from 'utils/plugin-checker'; export enum PluginsActionTypes { CHECK_PLUGINS = 'CHECK_PLUGINS', - CHECKED_ALL_PLUGINS = 'CHECKED_ALL_PLUGINS' + CHECKED_ALL_PLUGINS = 'CHECKED_ALL_PLUGINS', } type PluginObjects = Record; @@ -29,27 +29,20 @@ export function checkPluginsAsync(): ThunkAction { dispatch(pluginActions.checkPlugins()); const plugins: PluginObjects = { ANALYTICS: false, - AUTO_ANNOTATION: false, GIT_INTEGRATION: false, - TF_ANNOTATION: false, - TF_SEGMENTATION: false, - REID: false, DEXTR_SEGMENTATION: false, }; const promises: Promise[] = [ + // check must return true/false with no exceptions PluginChecker.check(SupportedPlugins.ANALYTICS), - PluginChecker.check(SupportedPlugins.AUTO_ANNOTATION), PluginChecker.check(SupportedPlugins.GIT_INTEGRATION), - PluginChecker.check(SupportedPlugins.TF_ANNOTATION), - PluginChecker.check(SupportedPlugins.TF_SEGMENTATION), PluginChecker.check(SupportedPlugins.DEXTR_SEGMENTATION), - PluginChecker.check(SupportedPlugins.REID), ]; const values = await Promise.all(promises); - [plugins.ANALYTICS, plugins.AUTO_ANNOTATION, plugins.GIT_INTEGRATION, plugins.TF_ANNOTATION, - plugins.TF_SEGMENTATION, plugins.DEXTR_SEGMENTATION, plugins.REID] = values; + [plugins.ANALYTICS, plugins.GIT_INTEGRATION, + plugins.DEXTR_SEGMENTATION] = values; dispatch(pluginActions.checkedAllPlugins(plugins)); }; } diff --git a/cvat-ui/src/actions/tasks-actions.ts b/cvat-ui/src/actions/tasks-actions.ts index 9fc4c1e8..2aa9e630 100644 --- a/cvat-ui/src/actions/tasks-actions.ts +++ b/cvat-ui/src/actions/tasks-actions.ts @@ -102,13 +102,7 @@ ThunkAction, {}, {}, AnyAction> { const promises = array .map((task): string => (task as any).frames.preview()); - dispatch( - getInferenceStatusAsync( - array.map( - (task: any): number => task.id, - ), - ), - ); + dispatch(getInferenceStatusAsync()); for (const promise of promises) { try { diff --git a/cvat-ui/src/components/actions-menu/actions-menu.tsx b/cvat-ui/src/components/actions-menu/actions-menu.tsx index 5a1070d0..d51560e2 100644 --- a/cvat-ui/src/components/actions-menu/actions-menu.tsx +++ b/cvat-ui/src/components/actions-menu/actions-menu.tsx @@ -15,16 +15,11 @@ interface Props { taskID: number; taskMode: string; bugTracker: string; - loaders: any[]; dumpers: any[]; loadActivity: string | null; dumpActivities: string[] | null; exportActivities: string[] | null; - - installedTFAnnotation: boolean; - installedTFSegmentation: boolean; - installedAutoAnnotation: boolean; inferenceIsActive: boolean; onClickMenu: (params: ClickParam, file?: File) => void; @@ -44,12 +39,7 @@ export default function ActionsMenuComponent(props: Props): JSX.Element { taskID, taskMode, bugTracker, - - installedAutoAnnotation, - installedTFAnnotation, - installedTFSegmentation, inferenceIsActive, - dumpers, loaders, onClickMenu, @@ -58,9 +48,6 @@ export default function ActionsMenuComponent(props: Props): JSX.Element { loadActivity, } = props; - const renderModelRunner = installedAutoAnnotation - || installedTFAnnotation || installedTFSegmentation; - let latestParams: ClickParam | null = null; function onClickMenuWrapper(params: ClickParam | null, file?: File): void { const copyParams = params || latestParams; @@ -137,17 +124,12 @@ export default function ActionsMenuComponent(props: Props): JSX.Element { }) } {!!bugTracker && Open bug tracker} - { - renderModelRunner - && ( - - Automatic annotation - - ) - } + + Automatic annotation +
Delete diff --git a/cvat-ui/src/components/annotation-page/annotation-page.tsx b/cvat-ui/src/components/annotation-page/annotation-page.tsx index 8854dd5d..d98d4284 100644 --- a/cvat-ui/src/components/annotation-page/annotation-page.tsx +++ b/cvat-ui/src/components/annotation-page/annotation-page.tsx @@ -80,17 +80,17 @@ export default function AnnotationPageComponent(props: Props): JSX.Element { { workspace === Workspace.STANDARD && ( - + )} { workspace === Workspace.ATTRIBUTE_ANNOTATION && ( - + )} { workspace === Workspace.TAG_ANNOTATION && ( - + )} diff --git a/cvat-ui/src/components/annotation-page/annotations-filters-input.tsx b/cvat-ui/src/components/annotation-page/annotations-filters-input.tsx index f2ddbac9..f11893db 100644 --- a/cvat-ui/src/components/annotation-page/annotations-filters-input.tsx +++ b/cvat-ui/src/components/annotation-page/annotations-filters-input.tsx @@ -147,7 +147,7 @@ function AnnotationsFiltersInput(props: StateToProps & DispatchToProps): JSX.Ele placeholder={ underCursor ? ( <> - + { diff --git a/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/attribute-annotation-sidebar/attribute-switcher.tsx b/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/attribute-annotation-sidebar/attribute-switcher.tsx index da835b60..66357b2f 100644 --- a/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/attribute-annotation-sidebar/attribute-switcher.tsx +++ b/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/attribute-annotation-sidebar/attribute-switcher.tsx @@ -27,17 +27,17 @@ function AttributeSwitcher(props: Props): JSX.Element { const title = `${currentAttribute} [${currentIndex + 1}/${attributesCount}]`; return ( -
- +
+ - + {currentAttribute} {` [${currentIndex + 1}/${attributesCount}]`} - + diff --git a/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/attribute-annotation-sidebar/object-switcher.tsx b/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/attribute-annotation-sidebar/object-switcher.tsx index 97e77d0b..5d69834d 100644 --- a/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/attribute-annotation-sidebar/object-switcher.tsx +++ b/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/attribute-annotation-sidebar/object-switcher.tsx @@ -31,18 +31,18 @@ function ObjectSwitcher(props: Props): JSX.Element { const title = `${currentLabel} ${clientID} [${currentIndex + 1}/${objectsCount}]`; return ( -
- +
+ - + {currentLabel} {` ${clientID} `} {`[${currentIndex + 1}/${objectsCount}]`} - + diff --git a/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/styles.scss b/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/styles.scss index a32789de..fbbd2e07 100644 --- a/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/styles.scss +++ b/cvat-ui/src/components/annotation-page/attribute-annotation-workspace/styles.scss @@ -13,7 +13,8 @@ padding: 5px; } -.attribute-annotation-sidebar-switcher { +.attribute-annotation-sidebar-object-switcher, +.attribute-annotation-sidebar-attribute-switcher { display: flex; align-items: center; justify-content: space-between; diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/canvas-point-context-menu.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/canvas-point-context-menu.tsx index 2e782a4f..9d6f56c0 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/canvas-point-context-menu.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/canvas-point-context-menu.tsx @@ -111,7 +111,7 @@ function CanvasPointContextMenu(props: Props): React.ReactPortal | null { return visible && contextMenuFor && type === ContextMenuType.CANVAS_SHAPE_POINT ? (ReactDOM.createPortal(
- + diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/canvas-wrapper.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/canvas-wrapper.tsx index b10cd3d6..14a13014 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/canvas-wrapper.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/canvas-wrapper.tsx @@ -876,7 +876,7 @@ export default class CanvasWrapperComponent extends React.PureComponent { defaultValue={0} onChange={(value: SliderValue): void => onSwitchZLayer(value as number)} /> - +
diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/cursor-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/cursor-control.tsx index 0222008d..e4f0ec15 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/cursor-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/cursor-control.tsx @@ -24,7 +24,7 @@ function CursorControl(props: Props): JSX.Element { } = props; return ( - + + diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-points-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-points-control.tsx index 2397e346..e034956a 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-points-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-points-control.tsx @@ -43,6 +43,7 @@ function DrawPointsControl(props: Props): JSX.Element { )} > diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-polygon-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-polygon-control.tsx index 1be11c2f..3b80a54c 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-polygon-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-polygon-control.tsx @@ -43,6 +43,7 @@ function DrawPolygonControl(props: Props): JSX.Element { )} > diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-polyline-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-polyline-control.tsx index 854e2850..f09d26e6 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-polyline-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-polyline-control.tsx @@ -43,6 +43,7 @@ function DrawPolylineControl(props: Props): JSX.Element { )} > diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-rectangle-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-rectangle-control.tsx index 3989521c..60e852b6 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-rectangle-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-rectangle-control.tsx @@ -45,6 +45,7 @@ function DrawRectangleControl(props: Props): JSX.Element { )} > diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-shape-popover.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-shape-popover.tsx index 070a0c84..5edfc758 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-shape-popover.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/draw-shape-popover.tsx @@ -186,14 +186,14 @@ function DrawShapePopoverComponent(props: Props): JSX.Element { } - + - + diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/fit-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/fit-control.tsx index 4de7cfc4..0ad4e788 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/fit-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/fit-control.tsx @@ -19,7 +19,7 @@ function FitControl(props: Props): JSX.Element { } = props; return ( - + canvasInstance.fit()} /> ); diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/group-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/group-control.tsx index 968b4b3f..15cf9be1 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/group-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/group-control.tsx @@ -45,7 +45,7 @@ function GroupControl(props: Props): JSX.Element { const title = `Group shapes/tracks ${switchGroupShortcut}.` + ` Select and press ${resetGroupShortcut} to reset a group`; return ( - + ); diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/merge-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/merge-control.tsx index c70a90c0..2ac9f432 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/merge-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/merge-control.tsx @@ -41,7 +41,7 @@ function MergeControl(props: Props): JSX.Element { }; return ( - + ); diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/move-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/move-control.tsx index 3446a595..1a25f2bf 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/move-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/move-control.tsx @@ -19,7 +19,7 @@ function MoveControl(props: Props): JSX.Element { const { canvasInstance, activeControl } = props; return ( - + + - + rotateFrame(Rotation.ANTICLOCKWISE90)} component={RotateIcon} /> - + rotateFrame(Rotation.CLOCKWISE90)} diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/setup-tag-popover.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/setup-tag-popover.tsx index 3366079d..11c1c1f6 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/setup-tag-popover.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/setup-tag-popover.tsx @@ -61,7 +61,7 @@ function SetupTagPopover(props: Props): JSX.Element { - + diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/split-control.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/split-control.tsx index 7624e6f0..e700d287 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/split-control.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/controls-side-bar/split-control.tsx @@ -41,7 +41,7 @@ function SplitControl(props: Props): JSX.Element { }; return ( - + ); diff --git a/cvat-ui/src/components/annotation-page/standard-workspace/objects-side-bar/object-item-basics.tsx b/cvat-ui/src/components/annotation-page/standard-workspace/objects-side-bar/object-item-basics.tsx index 08536f87..99a243b8 100644 --- a/cvat-ui/src/components/annotation-page/standard-workspace/objects-side-bar/object-item-basics.tsx +++ b/cvat-ui/src/components/annotation-page/standard-workspace/objects-side-bar/object-item-basics.tsx @@ -74,7 +74,7 @@ function ItemTopComponent(props: Props): JSX.Element { {type} - + { - onChangeShortcutLabel(value, Number.parseInt(id, 10)); - }} - size='default' - style={{ width: 200 }} - className='cvat-tag-annotation-label-select' - > - - - None - - - { - (labels as any[]).map((label: any) => ( - - {label.name} + { + shift(Object.keys(shortcutLabelMap), 1).slice(0, Math.min(labels.length, 10)) + .map((id) => ( + + + {`Key ${id}:`} + - - - ))} + { + (labels as any[]).map((label: any) => ( + + {label.name} + + )) + } + + + + )) + }
); }; diff --git a/cvat-ui/src/components/annotation-page/top-bar/annotation-menu.tsx b/cvat-ui/src/components/annotation-page/top-bar/annotation-menu.tsx index 92da2240..02d3d748 100644 --- a/cvat-ui/src/components/annotation-page/top-bar/annotation-menu.tsx +++ b/cvat-ui/src/components/annotation-page/top-bar/annotation-menu.tsx @@ -9,7 +9,6 @@ import Modal from 'antd/lib/modal'; import DumpSubmenu from 'components/actions-menu/dump-submenu'; import LoadSubmenu from 'components/actions-menu/load-submenu'; import ExportSubmenu from 'components/actions-menu/export-submenu'; -import ReIDPlugin from './reid-plugin'; interface Props { taskMode: string; @@ -18,7 +17,6 @@ interface Props { loadActivity: string | null; dumpActivities: string[] | null; exportActivities: string[] | null; - installedReID: boolean; taskID: number; onClickMenu(params: ClickParam, file?: File): void; } @@ -40,7 +38,6 @@ export default function AnnotationMenuComponent(props: Props): JSX.Element { loadActivity, dumpActivities, exportActivities, - installedReID, taskID, } = props; @@ -125,7 +122,6 @@ export default function AnnotationMenuComponent(props: Props): JSX.Element { Open the task - { installedReID && } ); } diff --git a/cvat-ui/src/components/annotation-page/top-bar/player-buttons.tsx b/cvat-ui/src/components/annotation-page/top-bar/player-buttons.tsx index 5033c9be..1737c427 100644 --- a/cvat-ui/src/components/annotation-page/top-bar/player-buttons.tsx +++ b/cvat-ui/src/components/annotation-page/top-bar/player-buttons.tsx @@ -54,42 +54,44 @@ function PlayerButtons(props: Props): JSX.Element { return ( - - + + - - + + - - + + {!playing ? ( - + ) : ( - + )} - - + + - - + + - - + + ); diff --git a/cvat-ui/src/components/annotation-page/top-bar/player-navigation.tsx b/cvat-ui/src/components/annotation-page/top-bar/player-navigation.tsx index bf723a77..f536b081 100644 --- a/cvat-ui/src/components/annotation-page/top-bar/player-navigation.tsx +++ b/cvat-ui/src/components/annotation-page/top-bar/player-navigation.tsx @@ -62,19 +62,19 @@ function PlayerNavigation(props: Props): JSX.Element { - + {frameFilename} - + - + onSubmit(threshold, distance)} - okText='Merge' - > - - - - Similarity threshold: - - - - { - if (typeof (value) === 'number') { - setThreshold(clamp(value, thresholdMin, thresholdMax)); - } - }} - /> - - - - - - Max pixel distance: - - - - { - if (typeof (value) === 'number') { - setDistance(clamp(value, distanceMin, distanceMax)); - } - }} - /> - - - - ); -} - -interface InProgressDialogProps { - visible: boolean; - progress: number; - onCancel(): void; -} - -function InProgressDialog(props: InProgressDialogProps): JSX.Element { - const { visible, onCancel, progress } = props; - return ( - - {`Merging is in progress ${progress}%`} - - ); -} - -const reidContainer = window.document.createElement('div'); -reidContainer.setAttribute('id', 'cvat-reid-wrapper'); -window.document.body.appendChild(reidContainer); - - -interface StateToProps { - jobInstance: any | null; -} - -interface DispatchToProps { - updateAnnotations(): void; -} - -function mapStateToProps(state: CombinedState): StateToProps { - const { - annotation: { - job: { - instance: jobInstance, - }, - }, - } = state; - - return { - jobInstance, - }; -} - -function mapDispatchToProps(dispatch: any): DispatchToProps { - return { - updateAnnotations(): void { - dispatch(fetchAnnotationsAsync()); - }, - }; -} - - -function ReIDPlugin(props: StateToProps & DispatchToProps): JSX.Element { - const { jobInstance, updateAnnotations, ...rest } = props; - const [showInputDialog, setShowInputDialog] = useState(false); - const [showInProgressDialog, setShowInProgressDialog] = useState(false); - const [progress, setProgress] = useState(0); - - useEffect(() => { - ReactDOM.render(( - <> - { - cancel(jobInstance.id); - }} - /> - setShowInputDialog(false)} - onSubmit={async (threshold: number, distance: number) => { - setProgress(0); - setShowInputDialog(false); - setShowInProgressDialog(true); - - const onUpdatePercentage = (percent: number): void => { - setProgress(percent); - }; - - try { - const annotations = await jobInstance.annotations.export(); - const merged = await run({ - threshold, - distance, - onUpdatePercentage, - jobID: jobInstance.id, - annotations, - }); - await jobInstance.annotations.clear(); - updateAnnotations(); // one more call to do not confuse canvas - await jobInstance.annotations.import(merged); - updateAnnotations(); - } catch (error) { - Modal.error({ - title: 'Could not merge annotations', - content: error.toString(), - }); - } finally { - setShowInProgressDialog(false); - } - }} - /> - - ), reidContainer); - }); - - return ( - { - if (jobInstance) { - setShowInputDialog(true); - } - }} - > - Run ReID merge - - ); -} - -export default connect( - mapStateToProps, - mapDispatchToProps, -)(ReIDPlugin); diff --git a/cvat-ui/src/components/annotation-page/top-bar/right-group.tsx b/cvat-ui/src/components/annotation-page/top-bar/right-group.tsx index ae7f8832..54c7723e 100644 --- a/cvat-ui/src/components/annotation-page/top-bar/right-group.tsx +++ b/cvat-ui/src/components/annotation-page/top-bar/right-group.tsx @@ -49,7 +49,7 @@ function RightGroup(props: Props): JSX.Element { value={workspace} > {Object.values(Workspace).map((ws) => ( - + {ws} ))} diff --git a/cvat-ui/src/components/annotation-page/top-bar/statistics-modal.tsx b/cvat-ui/src/components/annotation-page/top-bar/statistics-modal.tsx index eb4e3796..d68d58d9 100644 --- a/cvat-ui/src/components/annotation-page/top-bar/statistics-modal.tsx +++ b/cvat-ui/src/components/annotation-page/top-bar/statistics-modal.tsx @@ -89,7 +89,7 @@ export default function StatisticsModalComponent(props: Props): JSX.Element { }); const makeShapesTracksTitle = (title: string): JSX.Element => ( - + {title} diff --git a/cvat-ui/src/components/change-password-modal/change-password-form.tsx b/cvat-ui/src/components/change-password-modal/change-password-form.tsx new file mode 100644 index 00000000..f1548daa --- /dev/null +++ b/cvat-ui/src/components/change-password-modal/change-password-form.tsx @@ -0,0 +1,166 @@ +// Copyright (C) 2020 Intel Corporation +// +// SPDX-License-Identifier: MIT + +import React from 'react'; +import Form, { FormComponentProps } from 'antd/lib/form/Form'; +import Button from 'antd/lib/button'; +import Icon from 'antd/lib/icon'; +import Input from 'antd/lib/input'; + +import patterns from 'utils/validation-patterns'; + +export interface ChangePasswordData { + oldPassword: string; + newPassword1: string; + newPassword2: string; +} + +type ChangePasswordFormProps = { + fetching: boolean; + onSubmit(loginData: ChangePasswordData): void; +} & FormComponentProps; + +class ChangePasswordFormComponent extends React.PureComponent { + private validateConfirmation = (_: any, value: string, callback: Function): void => { + const { form } = this.props; + if (value && value !== form.getFieldValue('newPassword1')) { + callback('Two passwords that you enter is inconsistent!'); + } else { + callback(); + } + }; + + private validatePassword = (_: any, value: string, callback: Function): void => { + const { form } = this.props; + if (!patterns.validatePasswordLength.pattern.test(value)) { + callback(patterns.validatePasswordLength.message); + } + + if (!patterns.passwordContainsNumericCharacters.pattern.test(value)) { + callback(patterns.passwordContainsNumericCharacters.message); + } + + if (!patterns.passwordContainsUpperCaseCharacter.pattern.test(value)) { + callback(patterns.passwordContainsUpperCaseCharacter.message); + } + + if (!patterns.passwordContainsLowerCaseCharacter.pattern.test(value)) { + callback(patterns.passwordContainsLowerCaseCharacter.message); + } + + if (value) { + form.validateFields(['newPassword2'], { force: true }); + } + callback(); + }; + + private handleSubmit = (e: React.FormEvent): void => { + e.preventDefault(); + const { + form, + onSubmit, + } = this.props; + + form.validateFields((error, values): void => { + if (!error) { + const validatedFields = { + ...values, + confirmations: [], + }; + + onSubmit(validatedFields); + } + }); + }; + + private renderOldPasswordField(): JSX.Element { + const { form } = this.props; + + return ( + + {form.getFieldDecorator('oldPassword', { + rules: [{ + required: true, + message: 'Please input your current password!', + }], + })(} + placeholder='Current password' + />)} + + ); + } + + private renderNewPasswordField(): JSX.Element { + const { form } = this.props; + + return ( + + {form.getFieldDecorator('newPassword1', { + rules: [{ + required: true, + message: 'Please input new password!', + }, { + validator: this.validatePassword, + }], + })(} + placeholder='New password' + />)} + + ); + } + + private renderNewPasswordConfirmationField(): JSX.Element { + const { form } = this.props; + + return ( + + {form.getFieldDecorator('newPassword2', { + rules: [{ + required: true, + message: 'Please confirm your new password!', + }, { + validator: this.validateConfirmation, + }], + })(} + placeholder='Confirm new password' + />)} + + ); + } + + public render(): JSX.Element { + const { fetching } = this.props; + + return ( +
+ {this.renderOldPasswordField()} + {this.renderNewPasswordField()} + {this.renderNewPasswordConfirmationField()} + + + + +
+ ); + } +} + +export default Form.create()(ChangePasswordFormComponent); diff --git a/cvat-ui/src/components/change-password-modal/change-password-modal.tsx b/cvat-ui/src/components/change-password-modal/change-password-modal.tsx new file mode 100644 index 00000000..2f4f538b --- /dev/null +++ b/cvat-ui/src/components/change-password-modal/change-password-modal.tsx @@ -0,0 +1,84 @@ +// Copyright (C) 2020 Intel Corporation +// +// SPDX-License-Identifier: MIT + +import React from 'react'; +import { connect } from 'react-redux'; +import Modal from 'antd/lib/modal'; +import Title from 'antd/lib/typography/Title'; + +import { changePasswordAsync } from 'actions/auth-actions'; +import { CombinedState } from 'reducers/interfaces'; +import ChangePasswordForm, { ChangePasswordData } from './change-password-form'; + + +interface StateToProps { + fetching: boolean; + visible: boolean; +} + +interface DispatchToProps { + onChangePassword( + oldPassword: string, + newPassword1: string, + newPassword2: string): void; +} + +interface ChangePasswordPageComponentProps { + fetching: boolean; + visible: boolean; + onChangePassword: (oldPassword: string, newPassword1: string, newPassword2: string) => void; + onClose(): void; +} + +function mapStateToProps(state: CombinedState): StateToProps { + return { + fetching: state.auth.fetching, + visible: state.auth.showChangePasswordDialog, + }; +} + +function mapDispatchToProps(dispatch: any): DispatchToProps { + return ({ + onChangePassword(oldPassword: string, newPassword1: string, newPassword2: string): void { + dispatch(changePasswordAsync(oldPassword, newPassword1, newPassword2)); + }, + }); +} + +function ChangePasswordComponent(props: ChangePasswordPageComponentProps): JSX.Element { + const { + fetching, + onChangePassword, + visible, + onClose, + } = props; + + return ( + Change password} + okType='primary' + okText='Submit' + footer={null} + visible={visible} + destroyOnClose + onCancel={onClose} + > + { + onChangePassword( + changePasswordData.oldPassword, + changePasswordData.newPassword1, + changePasswordData.newPassword2, + ); + }} + fetching={fetching} + /> + + ); +} + +export default connect( + mapStateToProps, + mapDispatchToProps, +)(ChangePasswordComponent); diff --git a/cvat-ui/src/components/create-model-page/create-model-content.tsx b/cvat-ui/src/components/create-model-page/create-model-content.tsx deleted file mode 100644 index a320b805..00000000 --- a/cvat-ui/src/components/create-model-page/create-model-content.tsx +++ /dev/null @@ -1,160 +0,0 @@ -// Copyright (C) 2020 Intel Corporation -// -// SPDX-License-Identifier: MIT - -import React from 'react'; -import { Row, Col } from 'antd/lib/grid'; -import Icon from 'antd/lib/icon'; -import Alert from 'antd/lib/alert'; -import Button from 'antd/lib/button'; -import Tooltip from 'antd/lib/tooltip'; -import message from 'antd/lib/message'; -import notification from 'antd/lib/notification'; -import Text from 'antd/lib/typography/Text'; - -import consts from 'consts'; -import ConnectedFileManager, { - FileManagerContainer, -} from 'containers/file-manager/file-manager'; -import { ModelFiles } from 'reducers/interfaces'; - -import CreateModelForm, { - CreateModelForm as WrappedCreateModelForm, -} from './create-model-form'; - -interface Props { - createModel(name: string, files: ModelFiles, global: boolean): void; - isAdmin: boolean; - modelCreatingStatus: string; -} - -export default class CreateModelContent extends React.PureComponent { - private modelForm: WrappedCreateModelForm; - private fileManagerContainer: FileManagerContainer; - - public constructor(props: Props) { - super(props); - this.modelForm = null as any as WrappedCreateModelForm; - this.fileManagerContainer = null as any as FileManagerContainer; - } - - public componentDidUpdate(prevProps: Props): void { - const { modelCreatingStatus } = this.props; - - if (prevProps.modelCreatingStatus !== 'CREATED' - && modelCreatingStatus === 'CREATED') { - message.success('The model has been uploaded'); - this.modelForm.resetFields(); - this.fileManagerContainer.reset(); - } - } - - private handleSubmitClick = (): void => { - const { createModel } = this.props; - this.modelForm.submit() - .then((data) => { - const { - local, - share, - } = this.fileManagerContainer.getFiles(); - - const files = local.length ? local : share; - const grouppedFiles: ModelFiles = { - xml: '', - bin: '', - py: '', - json: '', - }; - - (files as any).reduce((acc: ModelFiles, value: File | string): ModelFiles => { - const name = typeof value === 'string' ? value : value.name; - const [extension] = name.split('.').reverse(); - if (extension in acc) { - acc[extension] = value; - } - - return acc; - }, grouppedFiles); - - if (Object.keys(grouppedFiles) - .map((key: string) => grouppedFiles[key]) - .filter((val) => !!val).length !== 4) { - notification.error({ - message: 'Could not upload a model', - description: 'Please, specify correct files', - }); - } else { - createModel(data.name, grouppedFiles, data.global); - } - }).catch(() => { - notification.error({ - message: 'Could not upload a model', - description: 'Please, check input fields', - }); - }); - }; - - public render(): JSX.Element { - const { - modelCreatingStatus, - } = this.props; - const loading = !!modelCreatingStatus - && modelCreatingStatus !== 'CREATED'; - const status = modelCreatingStatus - && modelCreatingStatus !== 'CREATED' ? modelCreatingStatus : ''; - - const { AUTO_ANNOTATION_GUIDE_URL } = consts; - return ( - - - - { - // false positive - // eslint-disable-next-line - window.open(AUTO_ANNOTATION_GUIDE_URL, '_blank'); - }} - type='question-circle' - /> - - - - { - this.modelForm = ref; - } - } - /> - - - * - Select files: - - - { - this.fileManagerContainer = container; - } - } - withRemote={false} - /> - - - {status && } - - - - - - ); - } -} diff --git a/cvat-ui/src/components/create-model-page/create-model-form.tsx b/cvat-ui/src/components/create-model-page/create-model-form.tsx deleted file mode 100644 index e1dbcb33..00000000 --- a/cvat-ui/src/components/create-model-page/create-model-form.tsx +++ /dev/null @@ -1,80 +0,0 @@ -// Copyright (C) 2020 Intel Corporation -// -// SPDX-License-Identifier: MIT - -import React from 'react'; -import { Row, Col } from 'antd/lib/grid'; -import Form, { FormComponentProps } from 'antd/lib/form/Form'; -import Input from 'antd/lib/input'; -import Tooltip from 'antd/lib/tooltip'; -import Checkbox from 'antd/lib/checkbox'; -import Text from 'antd/lib/typography/Text'; - -type Props = FormComponentProps; - -export class CreateModelForm extends React.PureComponent { - public submit(): Promise<{name: string; global: boolean}> { - const { form } = this.props; - return new Promise((resolve, reject) => { - form.validateFields((errors, values): void => { - if (!errors) { - resolve({ - name: values.name, - global: values.global, - }); - } else { - reject(errors); - } - }); - }); - } - - public resetFields(): void { - const { form } = this.props; - form.resetFields(); - } - - public render(): JSX.Element { - const { form } = this.props; - const { getFieldDecorator } = form; - - return ( -
e.preventDefault()}> - - - * - Name: - - - - { getFieldDecorator('name', { - rules: [{ - required: true, - message: 'Please, specify a model name', - }], - })()} - - - - - - { getFieldDecorator('global', { - initialValue: false, - valuePropName: 'checked', - })( - - - Load globally - - , - )} - - - - -
- ); - } -} - -export default Form.create()(CreateModelForm); diff --git a/cvat-ui/src/components/create-model-page/create-model-page.tsx b/cvat-ui/src/components/create-model-page/create-model-page.tsx deleted file mode 100644 index 7c81aca0..00000000 --- a/cvat-ui/src/components/create-model-page/create-model-page.tsx +++ /dev/null @@ -1,38 +0,0 @@ -// Copyright (C) 2020 Intel Corporation -// -// SPDX-License-Identifier: MIT - -import './styles.scss'; -import React from 'react'; -import { Row, Col } from 'antd/lib/grid'; -import Text from 'antd/lib/typography/Text'; - -import { ModelFiles } from 'reducers/interfaces'; -import CreateModelContent from './create-model-content'; - -interface Props { - createModel(name: string, files: ModelFiles, global: boolean): void; - isAdmin: boolean; - modelCreatingStatus: string; -} - -export default function CreateModelPageComponent(props: Props): JSX.Element { - const { - isAdmin, - modelCreatingStatus, - createModel, - } = props; - - return ( - - - Upload a new model - - - - ); -} diff --git a/cvat-ui/src/components/create-model-page/styles.scss b/cvat-ui/src/components/create-model-page/styles.scss deleted file mode 100644 index 65df22b2..00000000 --- a/cvat-ui/src/components/create-model-page/styles.scss +++ /dev/null @@ -1,43 +0,0 @@ -// Copyright (C) 2020 Intel Corporation -// -// SPDX-License-Identifier: MIT - -@import '../../base.scss'; - -.cvat-create-model-form-wrapper { - text-align: center; - margin-top: 40px; - overflow-y: auto; - height: 90%; - - > div > span { - font-size: 36px; - } - - .cvat-create-model-content { - margin-top: 20px; - width: 100%; - height: auto; - border: 1px solid $border-color-1; - border-radius: 3px; - padding: 20px; - background: $background-color-1; - text-align: initial; - - > div:nth-child(1) > i { - float: right; - font-size: 20px; - color: $danger-icon-color; - } - - > div:nth-child(4) { - margin-top: 10px; - } - - > div:nth-child(6) > button { - margin-top: 10px; - float: right; - width: 120px; - } - } -} diff --git a/cvat-ui/src/components/create-task-page/advanced-configuration-form.tsx b/cvat-ui/src/components/create-task-page/advanced-configuration-form.tsx index 89a760e0..c2dd2552 100644 --- a/cvat-ui/src/components/create-task-page/advanced-configuration-form.tsx +++ b/cvat-ui/src/components/create-task-page/advanced-configuration-form.tsx @@ -143,7 +143,7 @@ class AdvancedConfigurationForm extends React.PureComponent { return ( Image quality}> - + {form.getFieldDecorator('imageQuality', { initialValue: 70, rules: [{ @@ -169,7 +169,7 @@ class AdvancedConfigurationForm extends React.PureComponent { return ( Overlap size}> - + {form.getFieldDecorator('overlapSize', { rules: [{ validator: isNonNegativeInteger, @@ -187,7 +187,7 @@ class AdvancedConfigurationForm extends React.PureComponent { return ( Segment size}> - + {form.getFieldDecorator('segmentSize', { rules: [{ validator: isPositiveInteger, @@ -422,6 +422,7 @@ class AdvancedConfigurationForm extends React.PureComponent { More: 1 - 4 )} + mouseLeaveDelay={0} > {form.getFieldDecorator('dataChunkSize', { rules: [{ diff --git a/cvat-ui/src/components/create-task-page/create-task-content.tsx b/cvat-ui/src/components/create-task-page/create-task-content.tsx index 229015ef..9a818421 100644 --- a/cvat-ui/src/components/create-task-page/create-task-content.tsx +++ b/cvat-ui/src/components/create-task-page/create-task-content.tsx @@ -10,7 +10,7 @@ import Collapse from 'antd/lib/collapse'; import notification from 'antd/lib/notification'; import Text from 'antd/lib/typography/Text'; -import FileManagerContainer from 'containers/file-manager/file-manager'; +import ConnectedFileManager from 'containers/file-manager/file-manager'; import BasicConfigurationForm, { BaseConfiguration } from './basic-configuration-form'; import AdvancedConfigurationForm, { AdvancedConfiguration } from './advanced-configuration-form'; import LabelsEditor from '../labels-editor/labels-editor'; @@ -185,7 +185,7 @@ export default class CreateTaskContent extends React.PureComponent * Select files: - { this.fileManagerContainer = container; } } diff --git a/cvat-ui/src/components/create-task-page/styles.scss b/cvat-ui/src/components/create-task-page/styles.scss index ccf664b2..a9b03632 100644 --- a/cvat-ui/src/components/create-task-page/styles.scss +++ b/cvat-ui/src/components/create-task-page/styles.scss @@ -8,8 +8,9 @@ text-align: center; padding-top: 40px; overflow-y: auto; - height: 100%; - padding-bottom: 40px; + height: 90%; + position: fixed; + width: 100%; > div > span { font-size: 36px; diff --git a/cvat-ui/src/components/cvat-app.tsx b/cvat-ui/src/components/cvat-app.tsx index 9eeecd78..50d7ce04 100644 --- a/cvat-ui/src/components/cvat-app.tsx +++ b/cvat-ui/src/components/cvat-app.tsx @@ -18,7 +18,6 @@ import TasksPageContainer from 'containers/tasks-page/tasks-page'; import CreateTaskPageContainer from 'containers/create-task-page/create-task-page'; import TaskPageContainer from 'containers/task-page/task-page'; import ModelsPageContainer from 'containers/models-page/models-page'; -import CreateModelPageContainer from 'containers/create-model-page/create-model-page'; import AnnotationPageContainer from 'containers/annotation-page/annotation-page'; import LoginPageContainer from 'containers/login-page/login-page'; import RegisterPageContainer from 'containers/register-page/register-page'; @@ -35,26 +34,30 @@ interface CVATAppProps { verifyAuthorized: () => void; loadUserAgreements: () => void; initPlugins: () => void; + initModels: () => void; resetErrors: () => void; resetMessages: () => void; switchShortcutsDialog: () => void; switchSettingsDialog: () => void; + loadAuthActions: () => void; keyMap: Record; userInitialized: boolean; userFetching: boolean; pluginsInitialized: boolean; pluginsFetching: boolean; + modelsInitialized: boolean; + modelsFetching: boolean; formatsInitialized: boolean; formatsFetching: boolean; usersInitialized: boolean; usersFetching: boolean; aboutInitialized: boolean; aboutFetching: boolean; - installedAutoAnnotation: boolean; - installedTFAnnotation: boolean; - installedTFSegmentation: boolean; userAgreementsFetching: boolean; userAgreementsInitialized: boolean; + authActionsFetching: boolean; + authActionsInitialized: boolean; + allowChangePassword: boolean; notifications: NotificationsState; user: any; } @@ -88,6 +91,8 @@ class CVATApplication extends React.PureComponent 200 ? 'Open the Browser Console to get details' : error, }); + // eslint-disable-next-line no-console console.error(error); } @@ -199,8 +217,8 @@ class CVATApplication extends React.PureComponent - + @@ -269,10 +281,7 @@ class CVATApplication extends React.PureComponent - {withModels - && } - {installedAutoAnnotation - && } + diff --git a/cvat-ui/src/components/feedback/styles.scss b/cvat-ui/src/components/feedback/styles.scss index 88495873..39415886 100644 --- a/cvat-ui/src/components/feedback/styles.scss +++ b/cvat-ui/src/components/feedback/styles.scss @@ -3,10 +3,11 @@ // SPDX-License-Identifier: MIT .cvat-feedback-button { - position: absolute; + position: fixed; bottom: 20px; right: 20px; padding: 0; + height: auto; > i { font-size: 40px; diff --git a/cvat-ui/src/components/file-manager/file-manager.tsx b/cvat-ui/src/components/file-manager/file-manager.tsx index 3e2f2551..3c970cd5 100644 --- a/cvat-ui/src/components/file-manager/file-manager.tsx +++ b/cvat-ui/src/components/file-manager/file-manager.tsx @@ -129,6 +129,8 @@ export default class FileManager extends React.PureComponent { private renderShareSelector(): JSX.Element { function renderTreeNodes(data: TreeNodeNormal[]): JSX.Element[] { + // sort alphabetically + data.sort((a: TreeNodeNormal, b: TreeNodeNormal): number => a.key.localeCompare(b.key)); return data.map((item: TreeNodeNormal) => { if (item.children) { return ( diff --git a/cvat-ui/src/components/global-error-boundary/global-error-boundary.tsx b/cvat-ui/src/components/global-error-boundary/global-error-boundary.tsx index fc8ca195..9be93aae 100644 --- a/cvat-ui/src/components/global-error-boundary/global-error-boundary.tsx +++ b/cvat-ui/src/components/global-error-boundary/global-error-boundary.tsx @@ -153,7 +153,7 @@ class GlobalErrorBoundary extends React.PureComponent {
  • - + {/* eslint-disable-next-line */} {copy(message)}}> Copy diff --git a/cvat-ui/src/components/header/header.tsx b/cvat-ui/src/components/header/header.tsx index dc01678b..5391fe8d 100644 --- a/cvat-ui/src/components/header/header.tsx +++ b/cvat-ui/src/components/header/header.tsx @@ -17,16 +17,16 @@ import Text from 'antd/lib/typography/Text'; import { CVATLogo, AccountIcon } from 'icons'; import consts from 'consts'; +import ChangePasswordDialog from 'components/change-password-modal/change-password-modal'; import SettingsModal from './settings-modal/settings-modal'; interface HeaderContainerProps { onLogout: () => void; switchSettingsDialog: (show: boolean) => void; + switchChangePasswordDialog: (show: boolean) => void; logoutFetching: boolean; + changePasswordFetching: boolean; installedAnalytics: boolean; - installedAutoAnnotation: boolean; - installedTFAnnotation: boolean; - installedTFSegmentation: boolean; serverHost: string; username: string; toolName: string; @@ -37,15 +37,14 @@ interface HeaderContainerProps { uiVersion: string; switchSettingsShortcut: string; settingsDialogShown: boolean; + changePasswordDialogShown: boolean; + renderChangePasswordItem: boolean; } type Props = HeaderContainerProps & RouteComponentProps; function HeaderContainer(props: Props): JSX.Element { const { - installedTFSegmentation, - installedAutoAnnotation, - installedTFAnnotation, installedAnalytics, username, toolName, @@ -57,15 +56,14 @@ function HeaderContainer(props: Props): JSX.Element { uiVersion, onLogout, logoutFetching, + changePasswordFetching, settingsDialogShown, switchSettingsShortcut, switchSettingsDialog, + switchChangePasswordDialog, + renderChangePasswordItem, } = props; - const renderModels = installedAutoAnnotation - || installedTFAnnotation - || installedTFSegmentation; - const { CHANGELOG_URL, LICENSE_URL, @@ -146,6 +144,16 @@ function HeaderContainer(props: Props): JSX.Element { About + {renderChangePasswordItem && ( + switchChangePasswordDialog(true)} + disabled={changePasswordFetching} + > + {changePasswordFetching ? : } + Change password + + )} + Tasks - { renderModels - && ( - - )} + { installedAnalytics && (
+ ); + } + private renderContent(): JSX.Element { const { selectedModel, - cleanOut, + cleanup, mapping, } = this.state; const { @@ -311,8 +360,9 @@ export default class ModelRunnerModalComponent extends React.PureComponent _model.name === selectedModel)[0]; const excludedModelLabels: string[] = Object.keys(mapping); - const withMapping = model && !model.primary; - const tags = withMapping ? excludedModelLabels + const isDetector = model && model.type === 'detector'; + const isReId = model && model.type === 'reid'; + const tags = isDetector ? excludedModelLabels .map((modelLabel: string) => this.renderMappingTag( modelLabel, mapping[modelLabel], @@ -332,23 +382,24 @@ export default class ModelRunnerModalComponent extends React.PureComponent { this.renderModelSelector() } - { withMapping && tags} - { withMapping + { isDetector && tags} + { isDetector && mappingISAvailable && this.renderMappingInput(availableModelLabels, taskLabels)} - { withMapping + { isDetector && (
this.setState({ - cleanOut: e.target.checked, + cleanup: e.target.checked, })} > Clean old annotations
)} + { isReId && this.renderReidContent() }
); } @@ -357,14 +408,15 @@ export default class ModelRunnerModalComponent extends React.PureComponent model.name === selectedModel, )[0]; - const enabledSubmit = (!!activeModel - && activeModel.primary) || !!Object.keys(mapping).length; + const enabledSubmit = !!activeModel && (activeModel.type === 'reid' + || !!Object.keys(mapping).length); return ( visible && ( @@ -387,8 +439,13 @@ export default class ModelRunnerModalComponent extends React.PureComponent model.name === selectedModel)[0], - mapping, - cleanOut, + activeModel.type === 'detector' ? { + mapping, + cleanup, + } : { + threshold, + max_distance: maxDistance, + }, ); closeDialog(); }} @@ -397,9 +454,7 @@ export default class ModelRunnerModalComponent extends React.PureComponent - {!modelsInitialized - && } - {modelsInitialized && this.renderContent()} + { this.renderContent() } ) ); diff --git a/cvat-ui/src/components/models-page/built-model-item.tsx b/cvat-ui/src/components/models-page/built-model-item.tsx index 83dda54e..f100dfe5 100644 --- a/cvat-ui/src/components/models-page/built-model-item.tsx +++ b/cvat-ui/src/components/models-page/built-model-item.tsx @@ -20,7 +20,7 @@ export default function BuiltModelItemComponent(props: Props): JSX.Element { return ( - Tensorflow + {model.framework} diff --git a/cvat-ui/src/components/models-page/deployed-model-item.tsx b/cvat-ui/src/components/models-page/deployed-model-item.tsx new file mode 100644 index 00000000..69ad3fcd --- /dev/null +++ b/cvat-ui/src/components/models-page/deployed-model-item.tsx @@ -0,0 +1,55 @@ +// Copyright (C) 2020 Intel Corporation +// +// SPDX-License-Identifier: MIT + +import React from 'react'; +import { Row, Col } from 'antd/lib/grid'; +import Tag from 'antd/lib/tag'; +import Select from 'antd/lib/select'; +import Text from 'antd/lib/typography/Text'; +import { Model } from 'reducers/interfaces'; + +interface Props { + model: Model; +} + +export default function DeployedModelItem(props: Props): JSX.Element { + const { model } = props; + + return ( + + + {model.framework} + + + + {model.name} + + + + + {model.type} + + + + {model.description} + + + + + + ); +} diff --git a/cvat-ui/src/components/models-page/built-models-list.tsx b/cvat-ui/src/components/models-page/deployed-models-list.tsx similarity index 63% rename from cvat-ui/src/components/models-page/built-models-list.tsx rename to cvat-ui/src/components/models-page/deployed-models-list.tsx index a71d3e4a..93e301be 100644 --- a/cvat-ui/src/components/models-page/built-models-list.tsx +++ b/cvat-ui/src/components/models-page/deployed-models-list.tsx @@ -7,35 +7,38 @@ import { Row, Col } from 'antd/lib/grid'; import Text from 'antd/lib/typography/Text'; import { Model } from 'reducers/interfaces'; -import BuiltModelItemComponent from './built-model-item'; +import DeployedModelItem from './deployed-model-item'; + interface Props { models: Model[]; } -export default function IntegratedModelsListComponent(props: Props): JSX.Element { +export default function DeployedModelsListComponent(props: Props): JSX.Element { const { models } = props; + const items = models.map((model): JSX.Element => ( - + )); return ( <> - - - Primary - - - + Framework - + Name - + + Type + + + Description + + Labels diff --git a/cvat-ui/src/components/models-page/empty-list.tsx b/cvat-ui/src/components/models-page/empty-list.tsx index e850cff9..3eb9bde7 100644 --- a/cvat-ui/src/components/models-page/empty-list.tsx +++ b/cvat-ui/src/components/models-page/empty-list.tsx @@ -3,14 +3,12 @@ // SPDX-License-Identifier: MIT import React from 'react'; -import { Link } from 'react-router-dom'; import Text from 'antd/lib/typography/Text'; import { Row, Col } from 'antd/lib/grid'; import Icon from 'antd/lib/icon'; -import { - EmptyTasksIcon as EmptyModelsIcon, -} from 'icons'; +import consts from 'consts'; +import { EmptyTasksIcon as EmptyModelsIcon } from 'icons'; export default function EmptyListComponent(): JSX.Element { return ( @@ -22,7 +20,7 @@ export default function EmptyListComponent(): JSX.Element { - No models uploaded yet ... + No models deployed yet... @@ -32,7 +30,8 @@ export default function EmptyListComponent(): JSX.Element { - upload a new model + deploy a model with + nuclio
diff --git a/cvat-ui/src/components/models-page/models-page.tsx b/cvat-ui/src/components/models-page/models-page.tsx index 80c41eaf..a5606a2a 100644 --- a/cvat-ui/src/components/models-page/models-page.tsx +++ b/cvat-ui/src/components/models-page/models-page.tsx @@ -4,69 +4,29 @@ import './styles.scss'; import React from 'react'; -import Spin from 'antd/lib/spin'; import TopBarComponent from './top-bar'; -import UploadedModelsList from './uploaded-models-list'; -import BuiltModelsList from './built-models-list'; +import DeployedModelsList from './deployed-models-list'; import EmptyListComponent from './empty-list'; import FeedbackComponent from '../feedback/feedback'; import { Model } from '../../reducers/interfaces'; interface Props { - installedAutoAnnotation: boolean; - installedTFSegmentation: boolean; - installedTFAnnotation: boolean; - modelsInitialized: boolean; - modelsFetching: boolean; - registeredUsers: any[]; - models: Model[]; - getModels(): void; - deleteModel(id: number): void; + deployedModels: Model[]; } export default function ModelsPageComponent(props: Props): JSX.Element { - const { - installedAutoAnnotation, - installedTFSegmentation, - installedTFAnnotation, - modelsInitialized, - modelsFetching, - registeredUsers, - models, - - deleteModel, - } = props; - - if (!modelsInitialized) { - if (!modelsFetching) { - props.getModels(); - } - return ( - - ); - } - - const uploadedModels = models.filter((model): boolean => model.id !== null); - const integratedModels = models.filter((model): boolean => model.id === null); + const { deployedModels } = props; return (
- - { !!integratedModels.length - && } - { !!uploadedModels.length && ( - - )} - { installedAutoAnnotation - && !uploadedModels.length - && !installedTFAnnotation - && !installedTFSegmentation - && } + + { deployedModels.length + ? ( + + ) : ( + + )}
); diff --git a/cvat-ui/src/components/models-page/styles.scss b/cvat-ui/src/components/models-page/styles.scss index c67c893c..ddcaef8a 100644 --- a/cvat-ui/src/components/models-page/styles.scss +++ b/cvat-ui/src/components/models-page/styles.scss @@ -6,8 +6,10 @@ .cvat-models-page { padding-top: 30px; - height: 100%; + height: 90%; overflow: auto; + position: fixed; + width: 100%; > div:nth-child(1) { margin-bottom: 10px; @@ -52,7 +54,7 @@ .cvat-models-list-item { width: 100%; - height: 60px; + height: auto; border: 1px solid $border-color-1; border-radius: 3px; margin-bottom: 15px; diff --git a/cvat-ui/src/components/models-page/top-bar.tsx b/cvat-ui/src/components/models-page/top-bar.tsx index b58abd73..d0ede583 100644 --- a/cvat-ui/src/components/models-page/top-bar.tsx +++ b/cvat-ui/src/components/models-page/top-bar.tsx @@ -3,49 +3,15 @@ // SPDX-License-Identifier: MIT import React from 'react'; -import { RouteComponentProps } from 'react-router'; -import { withRouter } from 'react-router-dom'; import { Row, Col } from 'antd/lib/grid'; -import Button from 'antd/lib/button'; import Text from 'antd/lib/typography/Text'; -type Props = { - installedAutoAnnotation: boolean; -} & RouteComponentProps; - -function TopBarComponent(props: Props): JSX.Element { - const { - installedAutoAnnotation, - history, - } = props; - +export default function TopBarComponent(): JSX.Element { return ( - + Models - - { installedAutoAnnotation - && ( - - )} - ); } - -export default withRouter(TopBarComponent); diff --git a/cvat-ui/src/components/models-page/uploaded-model-item.tsx b/cvat-ui/src/components/models-page/uploaded-model-item.tsx deleted file mode 100644 index b108ec8d..00000000 --- a/cvat-ui/src/components/models-page/uploaded-model-item.tsx +++ /dev/null @@ -1,89 +0,0 @@ -// Copyright (C) 2020 Intel Corporation -// -// SPDX-License-Identifier: MIT - -import React from 'react'; -import { Row, Col } from 'antd/lib/grid'; -import Tag from 'antd/lib/tag'; -import Select from 'antd/lib/select'; -import Icon from 'antd/lib/icon'; -import Menu from 'antd/lib/menu'; -import Dropdown from 'antd/lib/dropdown'; -import Text from 'antd/lib/typography/Text'; -import moment from 'moment'; - -import { MenuIcon } from 'icons'; -import { Model } from 'reducers/interfaces'; - -interface Props { - model: Model; - owner: any; - onDelete(): void; -} - -export default function UploadedModelItem(props: Props): JSX.Element { - const { - model, - owner, - onDelete, - } = props; - - return ( - - - OpenVINO - - - - {model.name} - - - - - {owner ? owner.username : 'undefined'} - - - - - {moment(model.uploadDate).format('MMMM Do YYYY')} - - - - - - - Actions - - { - onDelete(); - }} - key='delete' - > - Delete - - - ) - } - > - - - - - ); -} diff --git a/cvat-ui/src/components/models-page/uploaded-models-list.tsx b/cvat-ui/src/components/models-page/uploaded-models-list.tsx deleted file mode 100644 index be5a0354..00000000 --- a/cvat-ui/src/components/models-page/uploaded-models-list.tsx +++ /dev/null @@ -1,70 +0,0 @@ -// Copyright (C) 2020 Intel Corporation -// -// SPDX-License-Identifier: MIT - -import React from 'react'; -import { Row, Col } from 'antd/lib/grid'; -import Text from 'antd/lib/typography/Text'; - -import { Model } from 'reducers/interfaces'; -import UploadedModelItem from './uploaded-model-item'; - - -interface Props { - registeredUsers: any[]; - models: Model[]; - deleteModel(id: number): void; -} - -export default function UploadedModelsListComponent(props: Props): JSX.Element { - const { - models, - registeredUsers, - deleteModel, - } = props; - - const items = models.map((model): JSX.Element => { - const owner = registeredUsers.filter((user) => user.id === model.ownerID)[0]; - return ( - deleteModel(model.id as number)} - /> - ); - }); - - return ( - <> - - - Uploaded by a user - - - - - - - Framework - - - Name - - - Owner - - - Uploaded - - - Labels - - - - { items } - - - - ); -} diff --git a/cvat-ui/src/components/task-page/job-list.tsx b/cvat-ui/src/components/task-page/job-list.tsx index 76d0a48d..dc89b51a 100644 --- a/cvat-ui/src/components/task-page/job-list.tsx +++ b/cvat-ui/src/components/task-page/job-list.tsx @@ -54,13 +54,6 @@ function JobListComponent(props: Props & RouteComponentProps): JSX.Element { > {`Job #${id}`} - | - - - ), }, { @@ -150,7 +143,7 @@ function JobListComponent(props: Props & RouteComponentProps): JSX.Element { Jobs - + - -{% endblock %} - -{% block note%} - {% autoescape off %} - {{ note }} - {% endautoescape %} -{% endblock %} \ No newline at end of file diff --git a/cvat/apps/authentication/templates/register.html b/cvat/apps/authentication/templates/register.html deleted file mode 100644 index b655e221..00000000 --- a/cvat/apps/authentication/templates/register.html +++ /dev/null @@ -1,32 +0,0 @@ - -{% extends "auth_base.html" %} - -{% block title %}Create user{% endblock %} - -{% block content %} - - -
- -
-{% endblock %} diff --git a/cvat/apps/authentication/templates/user_profile.html b/cvat/apps/authentication/templates/user_profile.html deleted file mode 100644 index 37ea7d49..00000000 --- a/cvat/apps/authentication/templates/user_profile.html +++ /dev/null @@ -1,21 +0,0 @@ - -
- {% if user.is_authenticated %} - {% if user.ldap_user and 'thumbnailPhoto' in user.ldap_user.attrs %} - {# TODO insert photo from ldap #} - {% endif %} - - {% if user.first_name and user.last_name %} -

{{ user.first_name }} {{ user.last_name }}

- {% else %} -

{{ user.username }}

- {% endif %} -
- -
- {% endif %} -
\ No newline at end of file diff --git a/cvat/apps/authentication/tests.py b/cvat/apps/authentication/tests.py deleted file mode 100644 index 53bc3b7a..00000000 --- a/cvat/apps/authentication/tests.py +++ /dev/null @@ -1,9 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.test import TestCase - -# Create your tests here. - diff --git a/cvat/apps/authentication/urls.py b/cvat/apps/authentication/urls.py index e05d7340..a3752ad5 100644 --- a/cvat/apps/authentication/urls.py +++ b/cvat/apps/authentication/urls.py @@ -1,23 +1,28 @@ - # Copyright (C) 2018 Intel Corporation # # SPDX-License-Identifier: MIT from django.urls import path -from django.contrib.auth import views as auth_views from django.conf import settings - -from . import forms -from . import views +from rest_auth.views import ( + LoginView, LogoutView, PasswordChangeView, + PasswordResetView, PasswordResetConfirmView) +from rest_auth.registration.views import RegisterView +from .views import SigningView urlpatterns = [ - path('login', auth_views.LoginView.as_view(form_class=forms.AuthForm, - template_name='login.html', extra_context={'note': settings.AUTH_LOGIN_NOTE}), - name='login'), - path('logout', auth_views.LogoutView.as_view(next_page='login'), name='logout'), + path('login', LoginView.as_view(), name='rest_login'), + path('logout', LogoutView.as_view(), name='rest_logout'), + path('signing', SigningView.as_view(), name='signing') ] if settings.DJANGO_AUTH_TYPE == 'BASIC': urlpatterns += [ - path('register', views.register_user, name='register'), + path('register', RegisterView.as_view(), name='rest_register'), + path('password/reset', PasswordResetView.as_view(), + name='rest_password_reset'), + path('password/reset/confirm', PasswordResetConfirmView.as_view(), + name='rest_password_reset_confirm'), + path('password/change', PasswordChangeView.as_view(), + name='rest_password_change'), ] diff --git a/cvat/apps/authentication/views.py b/cvat/apps/authentication/views.py index b2497e2a..f38e3409 100644 --- a/cvat/apps/authentication/views.py +++ b/cvat/apps/authentication/views.py @@ -2,35 +2,17 @@ # # SPDX-License-Identifier: MIT -from django.shortcuts import render, redirect -from django.conf import settings -from django.contrib.auth import login, authenticate from rest_framework import views from rest_framework.exceptions import ValidationError from rest_framework.response import Response from furl import furl -from . import forms from . import signature from django.utils.decorators import method_decorator from drf_yasg.utils import swagger_auto_schema from drf_yasg import openapi -def register_user(request): - if request.method == 'POST': - form = forms.NewUserForm(request.POST) - if form.is_valid(): - form.save() - username = form.cleaned_data.get('username') - raw_password = form.cleaned_data.get('password1') - user = authenticate(username=username, password=raw_password) - login(request, user) - return redirect(settings.LOGIN_REDIRECT_URL) - else: - form = forms.NewUserForm() - return render(request, 'register.html', {'form': form}) - @method_decorator(name='post', decorator=swagger_auto_schema( request_body=openapi.Schema( type=openapi.TYPE_OBJECT, diff --git a/cvat/apps/auto_annotation/README.md b/cvat/apps/auto_annotation/README.md deleted file mode 100644 index 27fecdf8..00000000 --- a/cvat/apps/auto_annotation/README.md +++ /dev/null @@ -1,372 +0,0 @@ -## Auto annotation - -- [Description](#description) -- [Installation](#installation) -- [Usage](#usage) -- [Testing script](#testing) -- [Examples](#examples) - - [Person-vehicle-bike-detection-crossroad-0078](#person-vehicle-bike-detection-crossroad-0078-openvino-toolkit) - - [Landmarks-regression-retail-0009](#landmarks-regression-retail-0009-openvino-toolkit) - - [Semantic Segmentation](#semantic-segmentation) -- [Available interpretation scripts](#available-interpretation-scripts) - -### Description - -The application will be enabled automatically if -[OpenVINO™ component](../../../components/openvino) -is installed. It allows to use custom models for auto annotation. Only models in -OpenVINO™ toolkit format are supported. If you would like to annotate a -task with a custom model please convert it to the intermediate representation -(IR) format via the model optimizer tool. See [OpenVINO documentation](https://software.intel.com/en-us/articles/OpenVINO-InferEngine) for details. - -### Installation - -See the installation instructions for [the OpenVINO component](../../../components/openvino) - -### Usage - -To annotate a task with a custom model you need to prepare 4 files: -1. __Model config__ (*.xml) - a text file with network configuration. -1. __Model weights__ (*.bin) - a binary file with trained weights. -1. __Label map__ (*.json) - a simple json file with `label_map` dictionary like -object with string values for label numbers. - Example: - ```json - { - "label_map": { - "0": "background", - "1": "aeroplane", - "2": "bicycle", - "3": "bird", - "4": "boat", - "5": "bottle", - "6": "bus", - "7": "car", - "8": "cat", - "9": "chair", - "10": "cow", - "11": "diningtable", - "12": "dog", - "13": "horse", - "14": "motorbike", - "15": "person", - "16": "pottedplant", - "17": "sheep", - "18": "sofa", - "19": "train", - "20": "tvmonitor" - } - } - ``` -1. __Interpretation script__ (*.py) - a file used to convert net output layer -to a predefined structure which can be processed by CVAT. This code will be run -inside a restricted python's environment, but it's possible to use some -builtin functions like __str, int, float, max, min, range__. - - Also two variables are available in the scope: - - - __detections__ - a list of dictionaries with detections for each frame: - * __frame_id__ - frame number - * __frame_height__ - frame height - * __frame_width__ - frame width - * __detections__ - output np.ndarray (See [ExecutableNetwork.infer](https://software.intel.com/en-us/articles/OpenVINO-InferEngine#inpage-nav-11-6-3) for details). - - - __results__ - an instance of python class with converted results. - Following methods should be used to add shapes: - ```python - # xtl, ytl, xbr, ybr - expected values are float or int - # label - expected value is int - # frame_number - expected value is int - # attributes - dictionary of attribute_name: attribute_value pairs, for example {"confidence": "0.83"} - add_box(self, xtl, ytl, xbr, ybr, label, frame_number, attributes=None) - - # points - list of (x, y) pairs of float or int, for example [(57.3, 100), (67, 102.7)] - # label - expected value is int - # frame_number - expected value is int - # attributes - dictionary of attribute_name: attribute_value pairs, for example {"confidence": "0.83"} - add_points(self, points, label, frame_number, attributes=None) - add_polygon(self, points, label, frame_number, attributes=None) - add_polyline(self, points, label, frame_number, attributes=None) - ``` - -### Testing script - -CVAT comes prepackaged with a small command line helper script to help develop interpretation scripts. - -It includes a small user interface which allows users to feed in images and see the results using -the user interfaces provided by OpenCV. - -See the script and the documentation in the -[auto_annotation directory](https://github.com/opencv/cvat/tree/develop/utils/auto_annotation). - -When using the Auto Annotation runner, it is often helpful to drop into a REPL prompt to interact with the variables -directly. You can do this using the `interact` method from the `code` module. - -```python -# Import the interact method from the `code` module -from code import interact - - -for frame_results in detections: - frame_height = frame_results["frame_height"] - frame_width = frame_results["frame_width"] - frame_number = frame_results["frame_id"] - # Unsure what other data members are in the `frame_results`? Use the `interact method! - interact(local=locals()) -``` - -```bash -$ python cvat/utils/auto_annotation/run_models.py --py /path/to/myfile.py --json /path/to/mapping.json --xml /path/to/inference.xml --bin /path/to/inference.bin -Python 3.6.6 (default, Sep 26 2018, 15:10:10) -[GCC 4.2.1 Compatible Apple LLVM 10.0.0 (clang-1000.10.44.2)] on darwin -Type "help", "copyright", "credits" or "license" for more information. ->>> dir() -['__builtins__', 'frame_results', 'detections', 'frame_number', 'frame_height', 'interact', 'results', 'frame_width'] ->>> type(frame_results) - ->>> frame_results.keys() -dict_keys(['frame_id', 'frame_height', 'frame_width', 'detections']) -``` - -When using the `interact` method, make sure you are running using the _testing script_, and ensure that you _remove it_ - before submitting to the server! If you don't remove it from the server, the code runners will hang during execution, - and you'll have to restart the server to fix them. - -Another useful development method is visualizing the results using OpenCV. This will be discussed more in the -[Semantic Segmentation](#segmentation) section. - -### Examples - -#### [Person-vehicle-bike-detection-crossroad-0078](https://github.com/opencv/open_model_zoo/blob/2018/intel_models/person-vehicle-bike-detection-crossroad-0078/description/person-vehicle-bike-detection-crossroad-0078.md) (OpenVINO toolkit) - -__Links__ -- [person-vehicle-bike-detection-crossroad-0078.xml](https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.xml) -- [person-vehicle-bike-detection-crossroad-0078.bin](https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/person-vehicle-bike-detection-crossroad-0078/FP32/person-vehicle-bike-detection-crossroad-0078.bin) - -__Task labels__: person vehicle non-vehicle - -__label_map.json__: -```json -{ -"label_map": { - "1": "person", - "2": "vehicle", - "3": "non-vehicle" - } -} -``` -__Interpretation script for SSD based networks__: -```python -def clip(value): - return max(min(1.0, value), 0.0) - -for frame_results in detections: - frame_height = frame_results["frame_height"] - frame_width = frame_results["frame_width"] - frame_number = frame_results["frame_id"] - - for i in range(frame_results["detections"].shape[2]): - confidence = frame_results["detections"][0, 0, i, 2] - if confidence < 0.5: - continue - - results.add_box( - xtl=clip(frame_results["detections"][0, 0, i, 3]) * frame_width, - ytl=clip(frame_results["detections"][0, 0, i, 4]) * frame_height, - xbr=clip(frame_results["detections"][0, 0, i, 5]) * frame_width, - ybr=clip(frame_results["detections"][0, 0, i, 6]) * frame_height, - label=int(frame_results["detections"][0, 0, i, 1]), - frame_number=frame_number, - attributes={ - "confidence": "{:.2f}".format(confidence), - }, - ) -``` - -#### [Landmarks-regression-retail-0009](https://github.com/opencv/open_model_zoo/blob/2018/intel_models/landmarks-regression-retail-0009/description/landmarks-regression-retail-0009.md) (OpenVINO toolkit) - -__Links__ -- [landmarks-regression-retail-0009.xml](https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/landmarks-regression-retail-0009/FP32/landmarks-regression-retail-0009.xml) -- [landmarks-regression-retail-0009.bin](https://download.01.org/openvinotoolkit/2018_R5/open_model_zoo/landmarks-regression-retail-0009/FP32/landmarks-regression-retail-0009.bin) - -__Task labels__: left_eye right_eye tip_of_nose left_lip_corner right_lip_corner - -__label_map.json__: -```json -{ - "label_map": { - "0": "left_eye", - "1": "right_eye", - "2": "tip_of_nose", - "3": "left_lip_corner", - "4": "right_lip_corner" - } -} -``` -__Interpretation script__: -```python -def clip(value): - return max(min(1.0, value), 0.0) - -for frame_results in detections: - frame_height = frame_results["frame_height"] - frame_width = frame_results["frame_width"] - frame_number = frame_results["frame_id"] - - for i in range(0, frame_results["detections"].shape[1], 2): - x = frame_results["detections"][0, i, 0, 0] - y = frame_results["detections"][0, i + 1, 0, 0] - - results.add_points( - points=[(clip(x) * frame_width, clip(y) * frame_height)], - label=i // 2, # see label map and model output specification, - frame_number=frame_number, - ) -``` - -#### Semantic Segmentation - -__Links__ -- [masck_rcnn_resnet50_atrous_coco][1] (OpenvVINO toolkit) -- [CVAT Implemenation][2] - -__label_map.json__: -```json -{ -"label_map": { - "1": "person", - "2": "bicycle", - "3": "car", - } -} -``` - -Note that the above labels are not all the labels in the model! See [here](https://github.com/opencv/cvat/blob/develop/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/mapping.json). - -**Interpretation script for a semantic segmentation network**: -```python -import numpy as np -import cv2 -from skimage.measure import approximate_polygon, find_contours - - -for frame_results in detections: - frame_height = frame_results['frame_height'] - frame_width = frame_results['frame_width'] - frame_number = frame_results['frame_id'] - detection = frame_results['detections'] - - # The keys for the below two members will vary based on the model - masks = frame_results['masks'] - boxes = frame_results['reshape_do_2d'] - - for box_index, box in enumerate(boxes): - # Again, these indexes specific to this model - class_label = int(box[1]) - box_class_probability = box[2] - - if box_class_probability > 0.2: - xmin = box[3] * frame_width - ymin = box[4] * frame_height - xmax = box[5] * frame_width - ymax = box[6] * frame_width - - box_width = int(xmax - xmin) - box_height = int(ymin - ymax) - - # use the box index and class label index to find the appropriate mask - # note that we need to convert the class label to a zero indexed array by subtracting `1` - class_mask = masks[box_index][class_label - 1] - - # Class mask is a 33 x 33 matrix - # resize it to the bounding box - resized_mask = cv2.resize(class_mask, dsize(box_height, box_width), interpolation=cv2.INTER_CUBIC) - - # Each pixel is a probability, select every pixel above the probability threshold, 0.5 - # Do this using the boolean `>` method - boolean_mask = (resized_mask > 0.5) - - # Convert the boolean values to uint8 - uint8_mask = boolean_mask.astype(np.uint8) * 255 - - # Change the x and y coordinates into integers - xmin = int(round(xmin)) - ymin = int(round(ymin)) - xmax = xmin + box_width - ymax = ymin + box_height - - # Create an empty blank frame, so that we can get the mask polygon in frame coordinates - mask_frame = np.zeros((frame_height, frame_width), dtype=np.uint8) - - # Put the uint8_mask on the mask frame using the integer coordinates - mask_frame[xmin:xmax, ymin:ymax] = uint8_mask - - mask_probability_threshold = 0.5 - # find the contours - contours = find_contours(mask_frame, mask_probability_threshold) - # every bounding box should only have a single contour - contour = contours[0] - contour = np.flip(contour, axis=1) - - # reduce the precision on the polygon - polygon_mask = approximate_polygon(contour, tolerance=2.5) - polygon_mask = polygon_mask.tolist() - - results.add_polygon(polygon_mask, class_label, frame_number) -``` - -Note that it is sometimes hard to see or understand what is happening in a script. -Use of the computer vision module can help you visualize what is happening. - -```python -import cv2 - - -for frame_results in detections: - frame_height = frame_results['frame_height'] - frame_width = frame_results['frame_width'] - detection = frame_results['detections'] - - masks = frame_results['masks'] - boxes = frame_results['reshape_do_2d'] - - for box_index, box in enumerate(boxes): - class_label = int(box[1]) - box_class_probability = box[2] - - if box_class_probability > 0.2: - xmin = box[3] * frame_width - ymin = box[4] * frame_height - xmax = box[5] * frame_width - ymax = box[6] * frame_width - - box_width = int(xmax - xmin) - box_height = int(ymin - ymax) - - class_mask = masks[box_index][class_label - 1] - # Visualize the class mask! - cv2.imshow('class mask', class_mask) - # wait until user presses keys - cv2.waitKeys() - - boolean_mask = (resized_mask > 0.5) - uint8_mask = boolean_mask.astype(np.uint8) * 255 - - # Visualize the class mask after it's been resized! - cv2.imshow('class mask', uint8_mask) - cv2.waitKeys() -``` - -Note that you should _only_ use the above commands while running the [Auto Annotation Model Runner][3]. -Running on the server will likely require a server restart to fix. -The method `cv2.destroyAllWindows()` or `cv2.destroyWindow('your-name-here')` might be required depending on your - implementation. - -### Available interpretation scripts - -CVAT comes prepackaged with several out of the box interpretation scripts. -See them in the [open model zoo directory](https://github.com/opencv/cvat/tree/develop/utils/open_model_zoo) - -[1]: https://github.com/opencv/open_model_zoo/blob/master/models/public/mask_rcnn_resnet50_atrous_coco/model.yml -[2]: https://github.com/opencv/cvat/tree/develop/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco -[3]: https://github.com/opencv/cvat/tree/develop/utils/auto_annotation diff --git a/cvat/apps/auto_annotation/__init__.py b/cvat/apps/auto_annotation/__init__.py deleted file mode 100644 index c929093f..00000000 --- a/cvat/apps/auto_annotation/__init__.py +++ /dev/null @@ -1,6 +0,0 @@ - -# Copyright (C) 2018-2019 Intel Corporation -# -# SPDX-License-Identifier: MIT - -default_app_config = 'cvat.apps.auto_annotation.apps.AutoAnnotationConfig' diff --git a/cvat/apps/auto_annotation/admin.py b/cvat/apps/auto_annotation/admin.py deleted file mode 100644 index da1eabb4..00000000 --- a/cvat/apps/auto_annotation/admin.py +++ /dev/null @@ -1,15 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.contrib import admin -from .models import AnnotationModel - -@admin.register(AnnotationModel) -class AnnotationModelAdmin(admin.ModelAdmin): - list_display = ('name', 'owner', 'created_date', 'updated_date', - 'shared', 'primary', 'framework') - - def has_add_permission(self, request): - return False diff --git a/cvat/apps/auto_annotation/apps.py b/cvat/apps/auto_annotation/apps.py deleted file mode 100644 index cea75abf..00000000 --- a/cvat/apps/auto_annotation/apps.py +++ /dev/null @@ -1,15 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.apps import AppConfig - - -class AutoAnnotationConfig(AppConfig): - name = "cvat.apps.auto_annotation" - - def ready(self): - from .permissions import setup_permissions - - setup_permissions() diff --git a/cvat/apps/auto_annotation/image_loader.py b/cvat/apps/auto_annotation/image_loader.py deleted file mode 100644 index 17335beb..00000000 --- a/cvat/apps/auto_annotation/image_loader.py +++ /dev/null @@ -1,22 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -import cv2 -import numpy as np - -class ImageLoader(): - def __init__(self, frame_provider): - self._frame_provider = frame_provider - - def __iter__(self): - for frame, _ in self._frame_provider.get_frames(self._frame_provider.Quality.ORIGINAL): - yield self._load_image(frame) - - def __len__(self): - return len(self._frame_provider) - - @staticmethod - def _load_image(image): - return cv2.imdecode(np.fromstring(image.read(), np.uint8), cv2.IMREAD_COLOR) diff --git a/cvat/apps/auto_annotation/inference.py b/cvat/apps/auto_annotation/inference.py deleted file mode 100644 index b51cc10e..00000000 --- a/cvat/apps/auto_annotation/inference.py +++ /dev/null @@ -1,163 +0,0 @@ -import itertools -from .model_loader import ModelLoader -from cvat.apps.engine.utils import import_modules, execute_python_code - -def _process_detections(detections, path_to_conv_script, restricted=True): - results = Results() - local_vars = { - "detections": detections, - "results": results, - } - source_code = open(path_to_conv_script).read() - - if restricted: - global_vars = { - "__builtins__": { - "str": str, - "int": int, - "float": float, - "max": max, - "min": min, - "range": range, - }, - } - else: - global_vars = globals() - imports = import_modules(source_code) - global_vars.update(imports) - - - execute_python_code(source_code, global_vars, local_vars) - - return results - -def _process_attributes(shape_attributes, label_attr_spec): - attributes = [] - for attr_text, attr_value in shape_attributes.items(): - if attr_text in label_attr_spec: - attributes.append({ - "spec_id": label_attr_spec[attr_text], - "value": attr_value, - }) - - return attributes - -class Results(): - def __init__(self): - self._results = { - "shapes": [], - "tracks": [] - } - - # https://stackoverflow.com/a/50928627/2701402 - def add_box(self, xtl: float, ytl: float, xbr: float, ybr: float, label: int, frame_number: int, attributes: dict=None): - """ - xtl - x coordinate, top left - ytl - y coordinate, top left - xbr - x coordinate, bottom right - ybr - y coordinate, bottom right - """ - self.get_shapes().append({ - "label": label, - "frame": frame_number, - "points": [xtl, ytl, xbr, ybr], - "type": "rectangle", - "attributes": attributes or {}, - }) - - def add_points(self, points: list, label: int, frame_number: int, attributes: dict=None): - points = self._create_polyshape(points, label, frame_number, attributes) - points["type"] = "points" - self.get_shapes().append(points) - - def add_polygon(self, points: list, label: int, frame_number: int, attributes: dict=None): - polygon = self._create_polyshape(points, label, frame_number, attributes) - polygon["type"] = "polygon" - self.get_shapes().append(polygon) - - def add_polyline(self, points: list, label: int, frame_number: int, attributes: dict=None): - polyline = self._create_polyshape(points, label, frame_number, attributes) - polyline["type"] = "polyline" - self.get_shapes().append(polyline) - - def get_shapes(self): - return self._results["shapes"] - - def get_tracks(self): - return self._results["tracks"] - - @staticmethod - def _create_polyshape(points: list, label: int, frame_number: int, attributes: dict=None): - return { - "label": label, - "frame": frame_number, - "points": list(itertools.chain.from_iterable(points)), - "attributes": attributes or {}, - } - -class InferenceAnnotationRunner: - def __init__(self, data, model_file, weights_file, labels_mapping, - attribute_spec, convertation_file): - self.data = iter(data) - self.data_len = len(data) - self.model = ModelLoader(model=model_file, weights=weights_file) - self.frame_counter = 0 - self.attribute_spec = attribute_spec - self.convertation_file = convertation_file - self.iteration_size = 128 - self.labels_mapping = labels_mapping - - - def run(self, job=None, update_progress=None, restricted=True): - result = { - "shapes": [], - "tracks": [], - "tags": [], - "version": 0 - } - - detections = [] - for _ in range(self.iteration_size): - try: - frame = next(self.data) - except StopIteration: - break - - orig_rows, orig_cols = frame.shape[:2] - - detections.append({ - "frame_id": self.frame_counter, - "frame_height": orig_rows, - "frame_width": orig_cols, - "detections": self.model.infer(frame), - }) - - self.frame_counter += 1 - if job and update_progress and not update_progress(job, self.frame_counter * 100 / self.data_len): - return None, False - - processed_detections = _process_detections(detections, self.convertation_file, restricted=restricted) - - self._add_shapes(processed_detections.get_shapes(), result["shapes"]) - - more_items = self.frame_counter != self.data_len - - return result, more_items - - def _add_shapes(self, shapes, target_container): - for shape in shapes: - if shape["label"] not in self.labels_mapping: - continue - - db_label = self.labels_mapping[shape["label"]] - label_attr_spec = self.attribute_spec.get(db_label) - target_container.append({ - "label_id": db_label, - "frame": shape["frame"], - "points": shape["points"], - "type": shape["type"], - "z_order": 0, - "group": None, - "occluded": False, - "attributes": _process_attributes(shape["attributes"], label_attr_spec), - }) diff --git a/cvat/apps/auto_annotation/inference_engine.py b/cvat/apps/auto_annotation/inference_engine.py deleted file mode 100644 index 766c0eb0..00000000 --- a/cvat/apps/auto_annotation/inference_engine.py +++ /dev/null @@ -1,52 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from openvino.inference_engine import IENetwork, IEPlugin, IECore, get_version - -import subprocess -import os -import platform - -_IE_PLUGINS_PATH = os.getenv("IE_PLUGINS_PATH", None) - -def _check_instruction(instruction): - return instruction == str.strip( - subprocess.check_output( - 'lscpu | grep -o "{}" | head -1'.format(instruction), shell=True - ).decode('utf-8') - ) - - -def make_plugin_or_core(): - version = get_version() - use_core_openvino = False - try: - major, minor, reference = [int(x) for x in version.split('.')] - if major >= 2 and minor >= 1: - use_core_openvino = True - except Exception: - pass - - if use_core_openvino: - ie = IECore() - return ie - - if _IE_PLUGINS_PATH is None: - raise OSError('Inference engine plugin path env not found in the system.') - - plugin = IEPlugin(device='CPU', plugin_dirs=[_IE_PLUGINS_PATH]) - if (_check_instruction('avx2')): - plugin.add_cpu_extension(os.path.join(_IE_PLUGINS_PATH, 'libcpu_extension_avx2.so')) - elif (_check_instruction('sse4')): - plugin.add_cpu_extension(os.path.join(_IE_PLUGINS_PATH, 'libcpu_extension_sse4.so')) - elif platform.system() == 'Darwin': - plugin.add_cpu_extension(os.path.join(_IE_PLUGINS_PATH, 'libcpu_extension.dylib')) - else: - raise Exception('Inference engine requires a support of avx2 or sse4.') - - return plugin - - -def make_network(model, weights): - return IENetwork(model = model, weights = weights) diff --git a/cvat/apps/auto_annotation/migrations/0001_initial.py b/cvat/apps/auto_annotation/migrations/0001_initial.py deleted file mode 100644 index ebd8a6e1..00000000 --- a/cvat/apps/auto_annotation/migrations/0001_initial.py +++ /dev/null @@ -1,39 +0,0 @@ -# Generated by Django 2.1.3 on 2019-01-24 14:05 - -import cvat.apps.auto_annotation.models -from django.conf import settings -import django.core.files.storage -from django.db import migrations, models -import django.db.models.deletion - - -class Migration(migrations.Migration): - - initial = True - - dependencies = [ - migrations.swappable_dependency(settings.AUTH_USER_MODEL), - ] - - operations = [ - migrations.CreateModel( - name='AnnotationModel', - fields=[ - ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), - ('name', cvat.apps.auto_annotation.models.SafeCharField(max_length=256)), - ('created_date', models.DateTimeField(auto_now_add=True)), - ('updated_date', models.DateTimeField(auto_now_add=True)), - ('model_file', models.FileField(storage=django.core.files.storage.FileSystemStorage(), upload_to=cvat.apps.auto_annotation.models.upload_path_handler)), - ('weights_file', models.FileField(storage=django.core.files.storage.FileSystemStorage(), upload_to=cvat.apps.auto_annotation.models.upload_path_handler)), - ('labelmap_file', models.FileField(storage=django.core.files.storage.FileSystemStorage(), upload_to=cvat.apps.auto_annotation.models.upload_path_handler)), - ('interpretation_file', models.FileField(storage=django.core.files.storage.FileSystemStorage(), upload_to=cvat.apps.auto_annotation.models.upload_path_handler)), - ('shared', models.BooleanField(default=False)), - ('primary', models.BooleanField(default=False)), - ('framework', models.CharField(default=cvat.apps.auto_annotation.models.FrameworkChoice('openvino'), max_length=32)), - ('owner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL)), - ], - options={ - 'default_permissions': (), - }, - ), - ] diff --git a/cvat/apps/auto_annotation/migrations/__init__.py b/cvat/apps/auto_annotation/migrations/__init__.py deleted file mode 100644 index d8e62e54..00000000 --- a/cvat/apps/auto_annotation/migrations/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - diff --git a/cvat/apps/auto_annotation/model_loader.py b/cvat/apps/auto_annotation/model_loader.py deleted file mode 100644 index e48d5c8e..00000000 --- a/cvat/apps/auto_annotation/model_loader.py +++ /dev/null @@ -1,76 +0,0 @@ - -# Copyright (C) 2018-2019 Intel Corporation -# -# SPDX-License-Identifier: MIT - -import json -import cv2 -import os -import numpy as np - -from cvat.apps.auto_annotation.inference_engine import make_plugin_or_core, make_network - -class ModelLoader(): - def __init__(self, model, weights): - self._model = model - self._weights = weights - - core_or_plugin = make_plugin_or_core() - network = make_network(self._model, self._weights) - - if getattr(core_or_plugin, 'get_supported_layers', False): - supported_layers = core_or_plugin.get_supported_layers(network) - not_supported_layers = [l for l in network.layers.keys() if l not in supported_layers] - if len(not_supported_layers) != 0: - raise Exception("Following layers are not supported by the plugin for specified device {}:\n {}". - format(core_or_plugin.device, ", ".join(not_supported_layers))) - - iter_inputs = iter(network.inputs) - self._input_blob_name = next(iter_inputs) - self._input_info_name = '' - self._output_blob_name = next(iter(network.outputs)) - - self._require_image_info = False - - info_names = ('image_info', 'im_info') - - # NOTE: handeling for the inclusion of `image_info` in OpenVino2019 - if any(s in network.inputs for s in info_names): - self._require_image_info = True - self._input_info_name = set(network.inputs).intersection(info_names) - self._input_info_name = self._input_info_name.pop() - if self._input_blob_name in info_names: - self._input_blob_name = next(iter_inputs) - - if getattr(core_or_plugin, 'load_network', False): - self._net = core_or_plugin.load_network(network, - "CPU", - num_requests=2) - else: - self._net = core_or_plugin.load(network=network, num_requests=2) - input_type = network.inputs[self._input_blob_name] - self._input_layout = input_type if isinstance(input_type, list) else input_type.shape - - def infer(self, image): - _, _, h, w = self._input_layout - in_frame = image if image.shape[:-1] == (h, w) else cv2.resize(image, (w, h)) - in_frame = in_frame.transpose((2, 0, 1)) # Change data layout from HWC to CHW - inputs = {self._input_blob_name: in_frame} - if self._require_image_info: - info = np.zeros([1, 3]) - info[0, 0] = h - info[0, 1] = w - # frame number - info[0, 2] = 1 - inputs[self._input_info_name] = info - - results = self._net.infer(inputs) - if len(results) == 1: - return results[self._output_blob_name].copy() - else: - return results.copy() - - -def load_labelmap(labels_path): - with open(labels_path, "r") as f: - return json.load(f)["label_map"] diff --git a/cvat/apps/auto_annotation/model_manager.py b/cvat/apps/auto_annotation/model_manager.py deleted file mode 100644 index 7bac221a..00000000 --- a/cvat/apps/auto_annotation/model_manager.py +++ /dev/null @@ -1,276 +0,0 @@ -# Copyright (C) 2018-2020 Intel Corporation -# -# SPDX-License-Identifier: MIT - -import django_rq -import numpy as np -import os -import rq -import shutil -import tempfile - -from django.db import transaction -from django.utils import timezone -from django.conf import settings - -from cvat.apps.engine.log import slogger -from cvat.apps.engine.models import Task as TaskModel -from cvat.apps.authentication.auth import has_admin_role -from cvat.apps.engine.serializers import LabeledDataSerializer -from cvat.apps.dataset_manager.task import put_task_data, patch_task_data -from cvat.apps.engine.frame_provider import FrameProvider -from cvat.apps.engine.utils import av_scan_paths - -from .models import AnnotationModel, FrameworkChoice -from .model_loader import load_labelmap -from .image_loader import ImageLoader -from .inference import InferenceAnnotationRunner - - -def _remove_old_file(model_file_field): - if model_file_field and os.path.exists(model_file_field.name): - os.remove(model_file_field.name) - -def _update_dl_model_thread(dl_model_id, name, is_shared, model_file, weights_file, labelmap_file, - interpretation_file, run_tests, is_local_storage, delete_if_test_fails, restricted=True): - def _get_file_content(filename): - return os.path.basename(filename), open(filename, "rb") - - def _delete_source_files(): - for f in [model_file, weights_file, labelmap_file, interpretation_file]: - if f: - os.remove(f) - - def _run_test(model_file, weights_file, labelmap_file, interpretation_file): - test_image = np.ones((1024, 1980, 3), np.uint8) * 255 - try: - dummy_labelmap = {key: key for key in load_labelmap(labelmap_file).keys()} - runner = InferenceAnnotationRunner( - data=[test_image,], - model_file=model_file, - weights_file=weights_file, - labels_mapping=dummy_labelmap, - attribute_spec={}, - convertation_file=interpretation_file) - - runner.run(restricted=restricted) - except Exception as e: - return False, str(e) - - return True, "" - - job = rq.get_current_job() - job.meta["progress"] = "Saving data" - job.save_meta() - - with transaction.atomic(): - dl_model = AnnotationModel.objects.select_for_update().get(pk=dl_model_id) - - test_res = True - message = "" - if run_tests: - job.meta["progress"] = "Test started" - job.save_meta() - - test_res, message = _run_test( - model_file=model_file or dl_model.model_file.name, - weights_file=weights_file or dl_model.weights_file.name, - labelmap_file=labelmap_file or dl_model.labelmap_file.name, - interpretation_file=interpretation_file or dl_model.interpretation_file.name, - ) - - if not test_res: - job.meta["progress"] = "Test failed" - if delete_if_test_fails: - shutil.rmtree(dl_model.get_dirname(), ignore_errors=True) - dl_model.delete() - else: - job.meta["progress"] = "Test passed" - job.save_meta() - - # update DL model - if test_res: - if model_file: - _remove_old_file(dl_model.model_file) - dl_model.model_file.save(*_get_file_content(model_file)) - if weights_file: - _remove_old_file(dl_model.weights_file) - dl_model.weights_file.save(*_get_file_content(weights_file)) - if labelmap_file: - _remove_old_file(dl_model.labelmap_file) - dl_model.labelmap_file.save(*_get_file_content(labelmap_file)) - if interpretation_file: - _remove_old_file(dl_model.interpretation_file) - dl_model.interpretation_file.save(*_get_file_content(interpretation_file)) - - if name: - dl_model.name = name - - if is_shared != None: - dl_model.shared = is_shared - - dl_model.updated_date = timezone.now() - dl_model.save() - - if is_local_storage: - _delete_source_files() - - if not test_res: - raise Exception("Model was not properly created/updated. Test failed: {}".format(message)) - -def create_or_update(dl_model_id, name, model_file, weights_file, labelmap_file, interpretation_file, owner, storage, is_shared): - def get_abs_path(share_path): - if not share_path: - return share_path - share_root = settings.SHARE_ROOT - relpath = os.path.normpath(share_path).lstrip('/') - if '..' in relpath.split(os.path.sep): - raise Exception('Permission denied') - abspath = os.path.abspath(os.path.join(share_root, relpath)) - if os.path.commonprefix([share_root, abspath]) != share_root: - raise Exception('Bad file path on share: ' + abspath) - return abspath - - def save_file_as_tmp(data): - if not data: - return None - fd, filename = tempfile.mkstemp() - with open(filename, 'wb') as tmp_file: - for chunk in data.chunks(): - tmp_file.write(chunk) - os.close(fd) - return filename - - is_create_request = dl_model_id is None - if is_create_request: - dl_model_id = create_empty(owner=owner) - - run_tests = bool(model_file or weights_file or labelmap_file or interpretation_file) - if storage != "local": - model_file = get_abs_path(model_file) - weights_file = get_abs_path(weights_file) - labelmap_file = get_abs_path(labelmap_file) - interpretation_file = get_abs_path(interpretation_file) - else: - model_file = save_file_as_tmp(model_file) - weights_file = save_file_as_tmp(weights_file) - labelmap_file = save_file_as_tmp(labelmap_file) - interpretation_file = save_file_as_tmp(interpretation_file) - - files_to_scan = [] - if model_file: - files_to_scan.append(model_file) - if weights_file: - files_to_scan.append(weights_file) - if labelmap_file: - files_to_scan.append(labelmap_file) - if interpretation_file: - files_to_scan.append(interpretation_file) - av_scan_paths(*files_to_scan) - - if owner: - restricted = not has_admin_role(owner) - else: - restricted = not has_admin_role(AnnotationModel.objects.get(pk=dl_model_id).owner) - - rq_id = "auto_annotation.create.{}".format(dl_model_id) - queue = django_rq.get_queue("default") - queue.enqueue_call( - func=_update_dl_model_thread, - args=( - dl_model_id, - name, - is_shared, - model_file, - weights_file, - labelmap_file, - interpretation_file, - run_tests, - storage == "local", - is_create_request, - restricted - ), - job_id=rq_id - ) - - return rq_id - -@transaction.atomic -def create_empty(owner, framework=FrameworkChoice.OPENVINO): - db_model = AnnotationModel( - owner=owner, - ) - db_model.save() - - model_path = db_model.get_dirname() - if os.path.isdir(model_path): - shutil.rmtree(model_path) - os.mkdir(model_path) - - return db_model.id - -@transaction.atomic -def delete(dl_model_id): - dl_model = AnnotationModel.objects.select_for_update().get(pk=dl_model_id) - if dl_model: - if dl_model.primary: - raise Exception("Can not delete primary model {}".format(dl_model_id)) - - shutil.rmtree(dl_model.get_dirname(), ignore_errors=True) - dl_model.delete() - else: - raise Exception("Requested DL model {} doesn't exist".format(dl_model_id)) - -def run_inference_thread(tid, model_file, weights_file, labels_mapping, attributes, convertation_file, reset, user, restricted=True): - def update_progress(job, progress): - job.refresh() - if "cancel" in job.meta: - del job.meta["cancel"] - job.save() - return False - job.meta["progress"] = progress - job.save_meta() - return True - - try: - job = rq.get_current_job() - job.meta["progress"] = 0 - job.save_meta() - db_task = TaskModel.objects.get(pk=tid) - - result = None - slogger.glob.info("auto annotation with openvino toolkit for task {}".format(tid)) - more_data = True - runner = InferenceAnnotationRunner( - data=ImageLoader(FrameProvider(db_task.data)), - model_file=model_file, - weights_file=weights_file, - labels_mapping=labels_mapping, - attribute_spec=attributes, - convertation_file= convertation_file) - while more_data: - result, more_data = runner.run( - job=job, - update_progress=update_progress, - restricted=restricted) - - if result is None: - slogger.glob.info("auto annotation for task {} canceled by user".format(tid)) - return - - serializer = LabeledDataSerializer(data = result) - if serializer.is_valid(raise_exception=True): - if reset: - put_task_data(tid, result) - else: - patch_task_data(tid, result, "create") - - slogger.glob.info("auto annotation for task {} done".format(tid)) - except Exception as e: - try: - slogger.task[tid].exception("exception was occurred during auto annotation of the task", exc_info=True) - except Exception as ex: - slogger.glob.exception("exception was occurred during auto annotation of the task {}: {}".format(tid, str(ex)), exc_info=True) - raise ex - - raise e diff --git a/cvat/apps/auto_annotation/models.py b/cvat/apps/auto_annotation/models.py deleted file mode 100644 index 467997e0..00000000 --- a/cvat/apps/auto_annotation/models.py +++ /dev/null @@ -1,56 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -import os -from enum import Enum - -from django.db import models -from django.conf import settings -from django.contrib.auth.models import User -from django.core.files.storage import FileSystemStorage - -fs = FileSystemStorage() - -def upload_path_handler(instance, filename): - return os.path.join(settings.MODELS_ROOT, str(instance.id), filename) - -class FrameworkChoice(Enum): - OPENVINO = 'openvino' - TENSORFLOW = 'tensorflow' - PYTORCH = 'pytorch' - - def __str__(self): - return self.value - - -class SafeCharField(models.CharField): - def get_prep_value(self, value): - value = super().get_prep_value(value) - if value: - return value[:self.max_length] - return value - -class AnnotationModel(models.Model): - name = SafeCharField(max_length=256) - owner = models.ForeignKey(User, null=True, blank=True, - on_delete=models.SET_NULL) - created_date = models.DateTimeField(auto_now_add=True) - updated_date = models.DateTimeField(auto_now_add=True) - model_file = models.FileField(upload_to=upload_path_handler, storage=fs) - weights_file = models.FileField(upload_to=upload_path_handler, storage=fs) - labelmap_file = models.FileField(upload_to=upload_path_handler, storage=fs) - interpretation_file = models.FileField(upload_to=upload_path_handler, storage=fs) - shared = models.BooleanField(default=False) - primary = models.BooleanField(default=False) - framework = models.CharField(max_length=32, default=FrameworkChoice.OPENVINO) - - class Meta: - default_permissions = () - - def get_dirname(self): - return "{models_root}/{id}".format(models_root=settings.MODELS_ROOT, id=self.id) - - def __str__(self): - return self.name diff --git a/cvat/apps/auto_annotation/permissions.py b/cvat/apps/auto_annotation/permissions.py deleted file mode 100644 index ede8d611..00000000 --- a/cvat/apps/auto_annotation/permissions.py +++ /dev/null @@ -1,29 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -import rules - -from cvat.apps.authentication.auth import has_admin_role, has_user_role - -@rules.predicate -def is_model_owner(db_user, db_dl_model): - return db_dl_model.owner == db_user - -@rules.predicate -def is_shared_model(_, db_dl_model): - return db_dl_model.shared - -@rules.predicate -def is_primary_model(_, db_dl_model): - return db_dl_model.primary - -def setup_permissions(): - rules.add_perm('auto_annotation.model.create', has_admin_role | has_user_role) - - rules.add_perm('auto_annotation.model.update', (has_admin_role | is_model_owner) & ~is_primary_model) - - rules.add_perm('auto_annotation.model.delete', (has_admin_role | is_model_owner) & ~is_primary_model) - - rules.add_perm('auto_annotation.model.access', has_admin_role | is_model_owner | - is_shared_model | is_primary_model) diff --git a/cvat/apps/auto_annotation/tests.py b/cvat/apps/auto_annotation/tests.py deleted file mode 100644 index a59acdef..00000000 --- a/cvat/apps/auto_annotation/tests.py +++ /dev/null @@ -1,4 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT diff --git a/cvat/apps/auto_annotation/urls.py b/cvat/apps/auto_annotation/urls.py deleted file mode 100644 index 2aa75c5e..00000000 --- a/cvat/apps/auto_annotation/urls.py +++ /dev/null @@ -1,19 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.urls import path -from . import views - -urlpatterns = [ - path("create", views.create_model), - path("update/", views.update_model), - path("delete/", views.delete_model), - - path("start//", views.start_annotation), - path("check/", views.check), - path("cancel/", views.cancel), - - path("meta/get", views.get_meta_info), -] diff --git a/cvat/apps/auto_annotation/views.py b/cvat/apps/auto_annotation/views.py deleted file mode 100644 index c521424d..00000000 --- a/cvat/apps/auto_annotation/views.py +++ /dev/null @@ -1,265 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -import django_rq -import json -import os - -from django.http import HttpResponse, JsonResponse, HttpResponseBadRequest -from rest_framework.decorators import api_view -from django.db.models import Q -from rules.contrib.views import permission_required, objectgetter - -from cvat.apps.authentication.decorators import login_required -from cvat.apps.engine.models import Task as TaskModel -from cvat.apps.authentication.auth import has_admin_role -from cvat.apps.engine.log import slogger - -from .model_loader import load_labelmap -from . import model_manager -from .models import AnnotationModel - -@login_required -@permission_required(perm=["engine.task.change"], - fn=objectgetter(TaskModel, "tid"), raise_exception=True) -def cancel(request, tid): - try: - queue = django_rq.get_queue("low") - job = queue.fetch_job("auto_annotation.run.{}".format(tid)) - if job is None or job.is_finished or job.is_failed: - raise Exception("Task is not being annotated currently") - elif "cancel" not in job.meta: - job.meta["cancel"] = True - job.save() - - except Exception as ex: - try: - slogger.task[tid].exception("cannot cancel auto annotation for task #{}".format(tid), exc_info=True) - except Exception as logger_ex: - slogger.glob.exception("exception was occured during cancel auto annotation request for task {}: {}".format(tid, str(logger_ex)), exc_info=True) - return HttpResponseBadRequest(str(ex)) - - return HttpResponse() - -@login_required -@permission_required(perm=["auto_annotation.model.create"], raise_exception=True) -def create_model(request): - if request.method != 'POST': - return HttpResponseBadRequest("Only POST requests are accepted") - - try: - params = request.POST - storage = params["storage"] - name = params["name"] - is_shared = params["shared"].lower() == "true" - if is_shared and not has_admin_role(request.user): - raise Exception("Only admin can create shared models") - - files = request.FILES if storage == "local" else params - model = files["xml"] - weights = files["bin"] - labelmap = files["json"] - interpretation_script = files["py"] - owner = request.user - - rq_id = model_manager.create_or_update( - dl_model_id=None, - name=name, - model_file=model, - weights_file=weights, - labelmap_file=labelmap, - interpretation_file=interpretation_script, - owner=owner, - storage=storage, - is_shared=is_shared, - ) - - return JsonResponse({"id": rq_id}) - except Exception as e: - return HttpResponseBadRequest(str(e)) - -@login_required -@permission_required(perm=["auto_annotation.model.update"], - fn=objectgetter(AnnotationModel, "mid"), raise_exception=True) -def update_model(request, mid): - if request.method != 'POST': - return HttpResponseBadRequest("Only POST requests are accepted") - - try: - params = request.POST - storage = params["storage"] - name = params.get("name") - is_shared = params.get("shared") - is_shared = is_shared.lower() == "true" if is_shared else None - if is_shared and not has_admin_role(request.user): - raise Exception("Only admin can create shared models") - files = request.FILES - model = files.get("xml") - weights = files.get("bin") - labelmap = files.get("json") - interpretation_script = files.get("py") - - rq_id = model_manager.create_or_update( - dl_model_id=mid, - name=name, - model_file=model, - weights_file=weights, - labelmap_file=labelmap, - interpretation_file=interpretation_script, - owner=None, - storage=storage, - is_shared=is_shared, - ) - - return JsonResponse({"id": rq_id}) - except Exception as e: - return HttpResponseBadRequest(str(e)) - -@login_required -@permission_required(perm=["auto_annotation.model.delete"], - fn=objectgetter(AnnotationModel, "mid"), raise_exception=True) -def delete_model(request, mid): - if request.method != 'DELETE': - return HttpResponseBadRequest("Only DELETE requests are accepted") - model_manager.delete(mid) - return HttpResponse() - -@api_view(['POST']) -@login_required -def get_meta_info(request): - try: - tids = request.data - response = { - "admin": has_admin_role(request.user), - "models": [], - "run": {}, - } - dl_model_list = list(AnnotationModel.objects.filter(Q(owner=request.user) | Q(primary=True) | Q(shared=True)).order_by('-created_date')) - for dl_model in dl_model_list: - labels = [] - if dl_model.labelmap_file and os.path.exists(dl_model.labelmap_file.name): - with dl_model.labelmap_file.open('r') as f: - labels = list(json.load(f)["label_map"].values()) - - response["models"].append({ - "id": dl_model.id, - "name": dl_model.name, - "primary": dl_model.primary, - "uploadDate": dl_model.created_date, - "updateDate": dl_model.updated_date, - "labels": labels, - "owner": dl_model.owner.id, - }) - - queue = django_rq.get_queue("low") - for tid in tids: - rq_id = "auto_annotation.run.{}".format(tid) - job = queue.fetch_job(rq_id) - if job is not None: - response["run"][tid] = { - "status": job.get_status(), - "rq_id": rq_id, - } - - return JsonResponse(response) - except Exception as e: - return HttpResponseBadRequest(str(e)) - -@login_required -@permission_required(perm=["engine.task.change"], - fn=objectgetter(TaskModel, "tid"), raise_exception=True) -@permission_required(perm=["auto_annotation.model.access"], - fn=objectgetter(AnnotationModel, "mid"), raise_exception=True) -def start_annotation(request, mid, tid): - slogger.glob.info("auto annotation create request for task {} via DL model {}".format(tid, mid)) - try: - db_task = TaskModel.objects.get(pk=tid) - queue = django_rq.get_queue("low") - job = queue.fetch_job("auto_annotation.run.{}".format(tid)) - if job is not None and (job.is_started or job.is_queued): - raise Exception("The process is already running") - - data = json.loads(request.body.decode('utf-8')) - - should_reset = data["reset"] - user_defined_labels_mapping = data["labels"] - - dl_model = AnnotationModel.objects.get(pk=mid) - - model_file_path = dl_model.model_file.name - weights_file_path = dl_model.weights_file.name - labelmap_file = dl_model.labelmap_file.name - convertation_file_path = dl_model.interpretation_file.name - restricted = not has_admin_role(dl_model.owner) - - db_labels = db_task.label_set.prefetch_related("attributespec_set").all() - db_attributes = {db_label.id: - {db_attr.name: db_attr.id for db_attr in db_label.attributespec_set.all()} for db_label in db_labels} - db_labels = {db_label.name:db_label.id for db_label in db_labels} - - model_labels = {value: key for key, value in load_labelmap(labelmap_file).items()} - - labels_mapping = {} - for user_model_label, user_db_label in user_defined_labels_mapping.items(): - if user_model_label in model_labels and user_db_label in db_labels: - labels_mapping[int(model_labels[user_model_label])] = db_labels[user_db_label] - - if not labels_mapping: - raise Exception("No labels found for annotation") - - rq_id="auto_annotation.run.{}".format(tid) - queue.enqueue_call(func=model_manager.run_inference_thread, - args=( - tid, - model_file_path, - weights_file_path, - labels_mapping, - db_attributes, - convertation_file_path, - should_reset, - request.user, - restricted, - ), - job_id = rq_id, - timeout=604800) # 7 days - - slogger.task[tid].info("auto annotation job enqueued") - - except Exception as ex: - try: - slogger.task[tid].exception("exception was occurred during annotation request", exc_info=True) - except Exception as logger_ex: - slogger.glob.exception("exception was occurred during create auto annotation request for task {}: {}".format(tid, str(logger_ex)), exc_info=True) - return HttpResponseBadRequest(str(ex)) - - return JsonResponse({"id": rq_id}) - -@login_required -def check(request, rq_id): - try: - target_queue = "low" if "auto_annotation.run" in rq_id else "default" - queue = django_rq.get_queue(target_queue) - job = queue.fetch_job(rq_id) - if job is not None and "cancel" in job.meta: - return JsonResponse({"status": "finished"}) - data = {} - if job is None: - data["status"] = "unknown" - elif job.is_queued: - data["status"] = "queued" - elif job.is_started: - data["status"] = "started" - data["progress"] = job.meta["progress"] if "progress" in job.meta else "" - elif job.is_finished: - data["status"] = "finished" - job.delete() - else: - data["status"] = "failed" - data["error"] = job.exc_info - job.delete() - - except Exception: - data["status"] = "unknown" - - return JsonResponse(data) diff --git a/cvat/apps/auto_segmentation/__init__.py b/cvat/apps/auto_segmentation/__init__.py deleted file mode 100644 index a0fca4cb..00000000 --- a/cvat/apps/auto_segmentation/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ - -# Copyright (C) 2018-2019 Intel Corporation -# -# SPDX-License-Identifier: MIT diff --git a/cvat/apps/auto_segmentation/admin.py b/cvat/apps/auto_segmentation/admin.py deleted file mode 100644 index 3c40ebdf..00000000 --- a/cvat/apps/auto_segmentation/admin.py +++ /dev/null @@ -1,8 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - - -# Register your models here. - diff --git a/cvat/apps/auto_segmentation/apps.py b/cvat/apps/auto_segmentation/apps.py deleted file mode 100644 index 03322710..00000000 --- a/cvat/apps/auto_segmentation/apps.py +++ /dev/null @@ -1,11 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.apps import AppConfig - - -class AutoSegmentationConfig(AppConfig): - name = 'auto_segmentation' - diff --git a/cvat/apps/auto_segmentation/migrations/__init__.py b/cvat/apps/auto_segmentation/migrations/__init__.py deleted file mode 100644 index d8e62e54..00000000 --- a/cvat/apps/auto_segmentation/migrations/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - diff --git a/cvat/apps/auto_segmentation/models.py b/cvat/apps/auto_segmentation/models.py deleted file mode 100644 index 37401bdd..00000000 --- a/cvat/apps/auto_segmentation/models.py +++ /dev/null @@ -1,8 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - - -# Create your models here. - diff --git a/cvat/apps/auto_segmentation/tests.py b/cvat/apps/auto_segmentation/tests.py deleted file mode 100644 index d20a46ab..00000000 --- a/cvat/apps/auto_segmentation/tests.py +++ /dev/null @@ -1,8 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - - -# Create your tests here. - diff --git a/cvat/apps/auto_segmentation/urls.py b/cvat/apps/auto_segmentation/urls.py deleted file mode 100644 index f84019be..00000000 --- a/cvat/apps/auto_segmentation/urls.py +++ /dev/null @@ -1,14 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.urls import path -from . import views - -urlpatterns = [ - path('create/task/', views.create), - path('check/task/', views.check), - path('cancel/task/', views.cancel), - path('meta/get', views.get_meta_info), -] diff --git a/cvat/apps/auto_segmentation/views.py b/cvat/apps/auto_segmentation/views.py deleted file mode 100644 index 4b15b094..00000000 --- a/cvat/apps/auto_segmentation/views.py +++ /dev/null @@ -1,310 +0,0 @@ - -# Copyright (C) 2018-2020 Intel Corporation -# -# SPDX-License-Identifier: MIT - - -from django.http import HttpResponse, JsonResponse, HttpResponseBadRequest -from rest_framework.decorators import api_view -from rules.contrib.views import permission_required, objectgetter -from cvat.apps.authentication.decorators import login_required -from cvat.apps.dataset_manager.task import put_task_data -from cvat.apps.engine.models import Task as TaskModel -from cvat.apps.engine.serializers import LabeledDataSerializer -from cvat.apps.engine.frame_provider import FrameProvider - -import django_rq -import os -import rq - -import numpy as np - -from cvat.apps.engine.log import slogger - -import sys -import skimage.io -from skimage.measure import find_contours, approximate_polygon - -def run_tensorflow_auto_segmentation(frame_provider, labels_mapping, treshold): - def _convert_to_int(boolean_mask): - return boolean_mask.astype(np.uint8) - - def _convert_to_segmentation(mask): - contours = find_contours(mask, 0.5) - # only one contour exist in our case - contour = contours[0] - contour = np.flip(contour, axis=1) - # Approximate the contour and reduce the number of points - contour = approximate_polygon(contour, tolerance=2.5) - segmentation = contour.ravel().tolist() - return segmentation - - ## INITIALIZATION - - # workarround for tf.placeholder() is not compatible with eager execution - # https://github.com/tensorflow/tensorflow/issues/18165 - import tensorflow as tf - tf.compat.v1.disable_eager_execution() - - # Root directory of the project - ROOT_DIR = os.environ.get('AUTO_SEGMENTATION_PATH') - # Import Mask RCNN - sys.path.append(ROOT_DIR) # To find local version of the library - import mrcnn.model as modellib - - # Import COCO config - sys.path.append(os.path.join(ROOT_DIR, "samples/coco/")) # To find local version - import coco - - # Directory to save logs and trained model - MODEL_DIR = os.path.join(ROOT_DIR, "logs") - - # Local path to trained weights file - COCO_MODEL_PATH = os.path.join(ROOT_DIR, "mask_rcnn_coco.h5") - if COCO_MODEL_PATH is None: - raise OSError('Model path env not found in the system.') - job = rq.get_current_job() - - ## CONFIGURATION - - class InferenceConfig(coco.CocoConfig): - # Set batch size to 1 since we'll be running inference on - # one image at a time. Batch size = GPU_COUNT * IMAGES_PER_GPU - GPU_COUNT = 1 - IMAGES_PER_GPU = 1 - - # Print config details - config = InferenceConfig() - config.display() - - ## CREATE MODEL AND LOAD TRAINED WEIGHTS - - # Create model object in inference mode. - model = modellib.MaskRCNN(mode="inference", model_dir=MODEL_DIR, config=config) - # Load weights trained on MS-COCO - model.load_weights(COCO_MODEL_PATH, by_name=True) - - ## RUN OBJECT DETECTION - result = {} - frames = frame_provider.get_frames(frame_provider.Quality.ORIGINAL) - for image_num, (image_bytes, _) in enumerate(frames): - job.refresh() - if 'cancel' in job.meta: - del job.meta['cancel'] - job.save() - return None - job.meta['progress'] = image_num * 100 / len(frame_provider) - job.save_meta() - - image = skimage.io.imread(image_bytes) - - # for multiple image detection, "batch size" must be equal to number of images - r = model.detect([image], verbose=1) - - r = r[0] - # "r['rois'][index]" gives bounding box around the object - for index, c_id in enumerate(r['class_ids']): - if c_id in labels_mapping.keys(): - if r['scores'][index] >= treshold: - mask = _convert_to_int(r['masks'][:,:,index]) - segmentation = _convert_to_segmentation(mask) - label = labels_mapping[c_id] - if label not in result: - result[label] = [] - result[label].append( - [image_num, segmentation]) - - return result - -def convert_to_cvat_format(data): - result = { - "tracks": [], - "shapes": [], - "tags": [], - "version": 0, - } - - for label in data: - segments = data[label] - for segment in segments: - result['shapes'].append({ - "type": "polygon", - "label_id": label, - "frame": segment[0], - "points": segment[1], - "z_order": 0, - "group": None, - "occluded": False, - "attributes": [], - }) - - return result - -def create_thread(tid, labels_mapping, user): - try: - # If detected object accuracy bigger than threshold it will returend - TRESHOLD = 0.5 - # Init rq job - job = rq.get_current_job() - job.meta['progress'] = 0 - job.save_meta() - # Get job indexes and segment length - db_task = TaskModel.objects.get(pk=tid) - # Get image list - frame_provider = FrameProvider(db_task.data) - - # Run auto segmentation by tf - result = None - slogger.glob.info("auto segmentation with tensorflow framework for task {}".format(tid)) - result = run_tensorflow_auto_segmentation(frame_provider, labels_mapping, TRESHOLD) - - if result is None: - slogger.glob.info('auto segmentation for task {} canceled by user'.format(tid)) - return - - # Modify data format and save - result = convert_to_cvat_format(result) - serializer = LabeledDataSerializer(data = result) - if serializer.is_valid(raise_exception=True): - put_task_data(tid, result) - slogger.glob.info('auto segmentation for task {} done'.format(tid)) - except Exception as ex: - try: - slogger.task[tid].exception('exception was occured during auto segmentation of the task', exc_info=True) - except Exception: - slogger.glob.exception('exception was occured during auto segmentation of the task {}'.format(tid), exc_info=True) - raise ex - -@api_view(['POST']) -@login_required -def get_meta_info(request): - try: - queue = django_rq.get_queue('low') - tids = request.data - result = {} - for tid in tids: - job = queue.fetch_job('auto_segmentation.create/{}'.format(tid)) - if job is not None: - result[tid] = { - "active": job.is_queued or job.is_started, - "success": not job.is_failed - } - - return JsonResponse(result) - except Exception as ex: - slogger.glob.exception('exception was occured during tf meta request', exc_info=True) - return HttpResponseBadRequest(str(ex)) - - -@login_required -@permission_required(perm=['engine.task.change'], - fn=objectgetter(TaskModel, 'tid'), raise_exception=True) -def create(request, tid): - slogger.glob.info('auto segmentation create request for task {}'.format(tid)) - try: - db_task = TaskModel.objects.get(pk=tid) - queue = django_rq.get_queue('low') - job = queue.fetch_job('auto_segmentation.create/{}'.format(tid)) - if job is not None and (job.is_started or job.is_queued): - raise Exception("The process is already running") - - db_labels = db_task.label_set.prefetch_related('attributespec_set').all() - db_labels = {db_label.id:db_label.name for db_label in db_labels} - - # COCO Labels - auto_segmentation_labels = { "BG": 0, - "person": 1, "bicycle": 2, "car": 3, "motorcycle": 4, "airplane": 5, - "bus": 6, "train": 7, "truck": 8, "boat": 9, "traffic_light": 10, - "fire_hydrant": 11, "stop_sign": 12, "parking_meter": 13, "bench": 14, - "bird": 15, "cat": 16, "dog": 17, "horse": 18, "sheep": 19, "cow": 20, - "elephant": 21, "bear": 22, "zebra": 23, "giraffe": 24, "backpack": 25, - "umbrella": 26, "handbag": 27, "tie": 28, "suitcase": 29, "frisbee": 30, - "skis": 31, "snowboard": 32, "sports_ball": 33, "kite": 34, "baseball_bat": 35, - "baseball_glove": 36, "skateboard": 37, "surfboard": 38, "tennis_racket": 39, - "bottle": 40, "wine_glass": 41, "cup": 42, "fork": 43, "knife": 44, "spoon": 45, - "bowl": 46, "banana": 47, "apple": 48, "sandwich": 49, "orange": 50, "broccoli": 51, - "carrot": 52, "hot_dog": 53, "pizza": 54, "donut": 55, "cake": 56, "chair": 57, - "couch": 58, "potted_plant": 59, "bed": 60, "dining_table": 61, "toilet": 62, - "tv": 63, "laptop": 64, "mouse": 65, "remote": 66, "keyboard": 67, "cell_phone": 68, - "microwave": 69, "oven": 70, "toaster": 71, "sink": 72, "refrigerator": 73, - "book": 74, "clock": 75, "vase": 76, "scissors": 77, "teddy_bear": 78, "hair_drier": 79, - "toothbrush": 80 - } - - labels_mapping = {} - for key, labels in db_labels.items(): - if labels in auto_segmentation_labels.keys(): - labels_mapping[auto_segmentation_labels[labels]] = key - - if not len(labels_mapping.values()): - raise Exception('No labels found for auto segmentation') - - # Run auto segmentation job - queue.enqueue_call(func=create_thread, - args=(tid, labels_mapping, request.user), - job_id='auto_segmentation.create/{}'.format(tid), - timeout=604800) # 7 days - - slogger.task[tid].info('tensorflow segmentation job enqueued with labels {}'.format(labels_mapping)) - - except Exception as ex: - try: - slogger.task[tid].exception("exception was occured during tensorflow segmentation request", exc_info=True) - except Exception: - pass - return HttpResponseBadRequest(str(ex)) - - return HttpResponse() - -@login_required -@permission_required(perm=['engine.task.access'], - fn=objectgetter(TaskModel, 'tid'), raise_exception=True) -def check(request, tid): - try: - queue = django_rq.get_queue('low') - job = queue.fetch_job('auto_segmentation.create/{}'.format(tid)) - if job is not None and 'cancel' in job.meta: - return JsonResponse({'status': 'finished'}) - data = {} - if job is None: - data['status'] = 'unknown' - elif job.is_queued: - data['status'] = 'queued' - elif job.is_started: - data['status'] = 'started' - data['progress'] = job.meta['progress'] - elif job.is_finished: - data['status'] = 'finished' - job.delete() - else: - data['status'] = 'failed' - data['stderr'] = job.exc_info - job.delete() - - except Exception: - data['status'] = 'unknown' - - return JsonResponse(data) - - -@login_required -@permission_required(perm=['engine.task.change'], - fn=objectgetter(TaskModel, 'tid'), raise_exception=True) -def cancel(request, tid): - try: - queue = django_rq.get_queue('low') - job = queue.fetch_job('auto_segmentation.create/{}'.format(tid)) - if job is None or job.is_finished or job.is_failed: - raise Exception('Task is not being segmented currently') - elif 'cancel' not in job.meta: - job.meta['cancel'] = True - job.save() - - except Exception as ex: - try: - slogger.task[tid].exception("cannot cancel tensorflow segmentation for task #{}".format(tid), exc_info=True) - except Exception: - pass - return HttpResponseBadRequest(str(ex)) - - return HttpResponse() diff --git a/cvat/apps/dataset_manager/annotation.py b/cvat/apps/dataset_manager/annotation.py index 040788bc..30393dd5 100644 --- a/cvat/apps/dataset_manager/annotation.py +++ b/cvat/apps/dataset_manager/annotation.py @@ -316,7 +316,10 @@ class ShapeManager(ObjectManager): def _calc_objects_similarity(obj0, obj1, start_frame, overlap): def _calc_polygons_similarity(p0, p1): overlap_area = p0.intersection(p1).area - return overlap_area / (p0.area + p1.area - overlap_area) + if p0.area == 0 or p1.area == 0: # a line with many points + return 0 + else: + return overlap_area / (p0.area + p1.area - overlap_area) has_same_type = obj0["type"] == obj1["type"] has_same_label = obj0.get("label_id") == obj1.get("label_id") @@ -328,7 +331,7 @@ class ShapeManager(ObjectManager): return _calc_polygons_similarity(p0, p1) elif obj0["type"] == ShapeType.POLYGON: p0 = geometry.Polygon(pairwise(obj0["points"])) - p1 = geometry.Polygon(pairwise(obj0["points"])) + p1 = geometry.Polygon(pairwise(obj1["points"])) return _calc_polygons_similarity(p0, p1) else: diff --git a/cvat/apps/dataset_manager/bindings.py b/cvat/apps/dataset_manager/bindings.py index 7e20fc33..64921555 100644 --- a/cvat/apps/dataset_manager/bindings.py +++ b/cvat/apps/dataset_manager/bindings.py @@ -531,7 +531,7 @@ class CvatTaskDataExtractor(datumaro.SourceExtractor): return dm_attr for tag_obj in cvat_frame_anno.tags: - anno_group = tag_obj.group + anno_group = tag_obj.group or 0 anno_label = map_label(tag_obj.label) anno_attr = convert_attrs(tag_obj.label, tag_obj.attributes) @@ -540,7 +540,7 @@ class CvatTaskDataExtractor(datumaro.SourceExtractor): item_anno.append(anno) for shape_obj in cvat_frame_anno.labeled_shapes: - anno_group = shape_obj.group + anno_group = shape_obj.group or 0 anno_label = map_label(shape_obj.label) anno_attr = convert_attrs(shape_obj.label, shape_obj.attributes) anno_attr['occluded'] = shape_obj.occluded diff --git a/cvat/apps/dataset_manager/formats/datumaro/export_templates/plugins/cvat_rest_api_task_images.py b/cvat/apps/dataset_manager/formats/datumaro/export_templates/plugins/cvat_rest_api_task_images.py index b54cce3f..9a7a9f06 100644 --- a/cvat/apps/dataset_manager/formats/datumaro/export_templates/plugins/cvat_rest_api_task_images.py +++ b/cvat/apps/dataset_manager/formats/datumaro/export_templates/plugins/cvat_rest_api_task_images.py @@ -42,32 +42,19 @@ class cvat_rest_api_task_images(SourceExtractor): frame_ids=[item_id], outdir=self._cache_dir, quality='original') def _connect(self): - if self._session is not None: + if self._cvat_cli is not None: return - session = None - try: - print("Enter credentials for '%s' to read task data:" % \ - (self._config.server_url)) - username = input('User: ') - password = getpass.getpass() + print("Enter credentials for '%s' to read task data:" % \ + (self._config.server_url)) + username = input('User: ') + password = getpass.getpass() - session = requests.Session() - session.auth = (username, password) + session = requests.Session() - api = CVAT_API_V1(self._config.server_url) - cli = CVAT_CLI(session, api) - - self._session = session - self._cvat_cli = cli - except Exception: - if session is not None: - session.close() - - def __del__(self): - if hasattr(self, '_session'): - if self._session is not None: - self._session.close() + api = CVAT_API_V1(self._config.server_url) + cli = CVAT_CLI(session, api, credentials=(username, password)) + self._cvat_cli = cli @staticmethod def _image_loader(item_id, extractor): @@ -100,16 +87,14 @@ class cvat_rest_api_task_images(SourceExtractor): if entry.get('height') and entry.get('width'): size = (entry['height'], entry['width']) image = Image(data=self._make_image_loader(item_id), - path=item_filename, size=size) - item = DatasetItem(id=item_id, image=image) + path=self._image_local_path(item_id), size=size) + item = DatasetItem(id=osp.splitext(item_filename)[0], image=image) items.append((item.id, item)) - items = sorted(items, key=lambda e: int(e[0])) items = OrderedDict(items) self._items = items self._cvat_cli = None - self._session = None def __iter__(self): for item in self._items.values(): diff --git a/cvat/apps/dataset_manager/task.py b/cvat/apps/dataset_manager/task.py index f2c40dfd..246d2ef0 100644 --- a/cvat/apps/dataset_manager/task.py +++ b/cvat/apps/dataset_manager/task.py @@ -536,6 +536,14 @@ class JobAnnotation: def data(self): return self.ir_data.data + def export(self, dst_file, exporter, host='', **options): + task_data = TaskData( + annotation_ir=self.ir_data, + db_task=self.db_job.segment.task, + host=host, + ) + exporter(dst_file, task_data, **options) + def import_annotations(self, src_file, importer): task_data = TaskData( annotation_ir=AnnotationIR(), @@ -674,6 +682,21 @@ def delete_job_data(pk): annotation = JobAnnotation(pk) annotation.delete() +def export_job(job_id, dst_file, format_name, + server_url=None, save_images=False): + # For big tasks dump function may run for a long time and + # we dont need to acquire lock after the task has been initialized from DB. + # But there is the bug with corrupted dump file in case 2 or + # more dump request received at the same time: + # https://github.com/opencv/cvat/issues/217 + with transaction.atomic(): + job = JobAnnotation(job_id) + job.init_from_db() + + exporter = make_exporter(format_name) + with open(dst_file, 'wb') as f: + job.export(f, exporter, host=server_url, save_images=save_images) + @silk_profile(name="GET task data") @transaction.atomic def get_task_data(pk): @@ -722,8 +745,7 @@ def export_task(task_id, dst_file, format_name, exporter = make_exporter(format_name) with open(dst_file, 'wb') as f: - task.export(f, exporter, host=server_url, - save_images=save_images) + task.export(f, exporter, host=server_url, save_images=save_images) @transaction.atomic def import_task_annotations(task_id, src_file, format_name): diff --git a/cvat/apps/dextr_segmentation/README.md b/cvat/apps/dextr_segmentation/README.md deleted file mode 100644 index 2382a380..00000000 --- a/cvat/apps/dextr_segmentation/README.md +++ /dev/null @@ -1,31 +0,0 @@ -# Semi-Automatic Segmentation with [Deep Extreme Cut](http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr/) - -## About the application - -The application allows to use deep learning models for semi-automatic semantic and instance segmentation. -You can get a segmentation polygon from four (or more) extreme points of an object. -This application uses the pre-trained DEXTR model which has been converted to Inference Engine format. - -We are grateful to K.K. Maninis, S. Caelles, J. Pont-Tuset, and L. Van Gool who permitted using their models in our tool - -## Build docker image -```bash -# OpenVINO component is also needed -docker-compose -f docker-compose.yml -f components/openvino/docker-compose.openvino.yml -f cvat/apps/dextr_segmentation/docker-compose.dextr.yml build -``` - -## Run docker container -```bash -docker-compose -f docker-compose.yml -f components/openvino/docker-compose.openvino.yml -f cvat/apps/dextr_segmentation/docker-compose.dextr.yml up -d -``` - -## Using - -1. Open a job -2. Select "Auto Segmentation" in the list of shapes -3. Run the draw mode as usually (by press the "Create Shape" button or by "N" shortcut) -4. Click four-six (or more if it's need) extreme points of an object -5. Close the draw mode as usually (by shortcut or pressing the button "Stop Creation") -6. Wait a moment and you will get a class agnostic annotation polygon -7. You can close an annotation request if it is too long -(in case if it is queued to rq worker and all workers are busy) diff --git a/cvat/apps/dextr_segmentation/__init__.py b/cvat/apps/dextr_segmentation/__init__.py deleted file mode 100644 index 472c2ac3..00000000 --- a/cvat/apps/dextr_segmentation/__init__.py +++ /dev/null @@ -1,7 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from cvat.settings.base import JS_3RDPARTY - -JS_3RDPARTY['engine'] = JS_3RDPARTY.get('engine', []) + ['dextr_segmentation/js/enginePlugin.js'] diff --git a/cvat/apps/dextr_segmentation/apps.py b/cvat/apps/dextr_segmentation/apps.py deleted file mode 100644 index d5d43a88..00000000 --- a/cvat/apps/dextr_segmentation/apps.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.apps import AppConfig - -class DextrSegmentationConfig(AppConfig): - name = 'dextr_segmentation' diff --git a/cvat/apps/dextr_segmentation/dextr.py b/cvat/apps/dextr_segmentation/dextr.py deleted file mode 100644 index d6eb2002..00000000 --- a/cvat/apps/dextr_segmentation/dextr.py +++ /dev/null @@ -1,119 +0,0 @@ - -# Copyright (C) 2018-2020 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from cvat.apps.auto_annotation.inference_engine import make_plugin_or_core, make_network -from cvat.apps.engine.frame_provider import FrameProvider - -import os -import cv2 -import PIL -import numpy as np - -_IE_CPU_EXTENSION = os.getenv("IE_CPU_EXTENSION", "libcpu_extension_avx2.so") -_IE_PLUGINS_PATH = os.getenv("IE_PLUGINS_PATH", None) - -_DEXTR_MODEL_DIR = os.getenv("DEXTR_MODEL_DIR", None) -_DEXTR_PADDING = 50 -_DEXTR_TRESHOLD = 0.9 -_DEXTR_SIZE = 512 - -class DEXTR_HANDLER: - def __init__(self): - self._plugin = None - self._network = None - self._exec_network = None - self._input_blob = None - self._output_blob = None - if not _DEXTR_MODEL_DIR: - raise Exception("DEXTR_MODEL_DIR is not defined") - - - def handle(self, db_data, frame, points): - # Lazy initialization - if not self._plugin: - self._plugin = make_plugin_or_core() - self._network = make_network(os.path.join(_DEXTR_MODEL_DIR, 'dextr.xml'), - os.path.join(_DEXTR_MODEL_DIR, 'dextr.bin')) - self._input_blob = next(iter(self._network.inputs)) - self._output_blob = next(iter(self._network.outputs)) - if getattr(self._plugin, 'load_network', False): - self._exec_network = self._plugin.load_network(self._network, 'CPU') - else: - self._exec_network = self._plugin.load(network=self._network) - - frame_provider = FrameProvider(db_data) - image = frame_provider.get_frame(frame, frame_provider.Quality.ORIGINAL) - image = PIL.Image.open(image[0]) - numpy_image = np.array(image) - points = np.asarray([[int(p["x"]), int(p["y"])] for p in points], dtype=int) - - # Padding mustn't be more than the closest distance to an edge of an image - [height, width] = numpy_image.shape[:2] - x_values = points[:, 0] - y_values = points[:, 1] - [min_x, max_x] = [np.min(x_values), np.max(x_values)] - [min_y, max_y] = [np.min(y_values), np.max(y_values)] - padding = min(min_x, min_y, width - max_x, height - max_y, _DEXTR_PADDING) - bounding_box = ( - max(min(points[:, 0]) - padding, 0), - max(min(points[:, 1]) - padding, 0), - min(max(points[:, 0]) + padding, width - 1), - min(max(points[:, 1]) + padding, height - 1) - ) - - # Prepare an image - numpy_cropped = np.array(image.crop(bounding_box)) - resized = cv2.resize(numpy_cropped, (_DEXTR_SIZE, _DEXTR_SIZE), - interpolation = cv2.INTER_CUBIC).astype(np.float32) - - # Make a heatmap - points = points - [min(points[:, 0]), min(points[:, 1])] + [padding, padding] - points = (points * [_DEXTR_SIZE / numpy_cropped.shape[1], _DEXTR_SIZE / numpy_cropped.shape[0]]).astype(int) - heatmap = np.zeros(shape=resized.shape[:2], dtype=np.float64) - for point in points: - gaussian_x_axis = np.arange(0, _DEXTR_SIZE, 1, float) - point[0] - gaussian_y_axis = np.arange(0, _DEXTR_SIZE, 1, float)[:, np.newaxis] - point[1] - gaussian = np.exp(-4 * np.log(2) * ((gaussian_x_axis ** 2 + gaussian_y_axis ** 2) / 100)).astype(np.float64) - heatmap = np.maximum(heatmap, gaussian) - cv2.normalize(heatmap, heatmap, 0, 255, cv2.NORM_MINMAX) - - # Concat an image and a heatmap - input_dextr = np.concatenate((resized, heatmap[:, :, np.newaxis].astype(resized.dtype)), axis=2) - input_dextr = input_dextr.transpose((2,0,1)) - - pred = self._exec_network.infer(inputs={self._input_blob: input_dextr[np.newaxis, ...]})[self._output_blob][0, 0, :, :] - pred = cv2.resize(pred, tuple(reversed(numpy_cropped.shape[:2])), interpolation = cv2.INTER_CUBIC) - result = np.zeros(numpy_image.shape[:2]) - result[bounding_box[1]:bounding_box[1] + pred.shape[0], bounding_box[0]:bounding_box[0] + pred.shape[1]] = pred > _DEXTR_TRESHOLD - - # Convert a mask to a polygon - result = np.array(result, dtype=np.uint8) - cv2.normalize(result,result,0,255,cv2.NORM_MINMAX) - contours = None - if int(cv2.__version__.split('.')[0]) > 3: - contours = cv2.findContours(result, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_KCOS)[0] - else: - contours = cv2.findContours(result, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_KCOS)[1] - - contours = max(contours, key=lambda arr: arr.size) - if contours.shape.count(1): - contours = np.squeeze(contours) - if contours.size < 3 * 2: - raise Exception('Less then three point have been detected. Can not build a polygon.') - - result = "" - for point in contours: - result += "{},{} ".format(int(point[0]), int(point[1])) - result = result[:-1] - - return result - - def __del__(self): - if self._exec_network: - del self._exec_network - if self._network: - del self._network - if self._plugin: - del self._plugin diff --git a/cvat/apps/dextr_segmentation/docker-compose.dextr.yml b/cvat/apps/dextr_segmentation/docker-compose.dextr.yml deleted file mode 100644 index 468523b8..00000000 --- a/cvat/apps/dextr_segmentation/docker-compose.dextr.yml +++ /dev/null @@ -1,14 +0,0 @@ -# -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT -# - -version: "2.3" - -services: - cvat: - build: - context: . - args: - WITH_DEXTR: "yes" diff --git a/cvat/apps/dextr_segmentation/static/dextr_segmentation/js/enginePlugin.js b/cvat/apps/dextr_segmentation/static/dextr_segmentation/js/enginePlugin.js deleted file mode 100644 index 0869ba8d..00000000 --- a/cvat/apps/dextr_segmentation/static/dextr_segmentation/js/enginePlugin.js +++ /dev/null @@ -1,214 +0,0 @@ -/* - * Copyright (C) 2018 Intel Corporation - * - * SPDX-License-Identifier: MIT - */ - -/* global - AREA_TRESHOLD:false - PolyShapeModel:false - ShapeCreatorModel:true - ShapeCreatorView:true - showMessage:false -*/ - -/* eslint no-underscore-dangle: 0 */ - -window.addEventListener('DOMContentLoaded', () => { - $('').appendTo('#shapeTypeSelector'); - - const dextrCancelButtonId = 'dextrCancelButton'; - const dextrOverlay = $(` - `).appendTo('body'); - - const dextrCancelButton = $(`#${dextrCancelButtonId}`); - dextrCancelButton.on('click', () => { - dextrCancelButton.prop('disabled', true); - $.ajax({ - url: `/dextr/cancel/${window.cvat.job.id}`, - type: 'GET', - error: (errorData) => { - const message = `Can not cancel segmentation. Code: ${errorData.status}. - Message: ${errorData.responseText || errorData.statusText}`; - showMessage(message); - }, - complete: () => { - dextrCancelButton.prop('disabled', false); - }, - }); - }); - - function ShapeCreatorModelWrapper(OriginalClass) { - // Constructor will patch some properties for a created instance - function constructorDecorator(...args) { - const instance = new OriginalClass(...args); - - // Decorator for the defaultType property - Object.defineProperty(instance, 'defaultType', { - get: () => instance._defaultType, - set: (type) => { - if (!['box', 'box_by_4_points', 'points', 'polygon', - 'polyline', 'auto_segmentation', 'cuboid'].includes(type)) { - throw Error(`Unknown shape type found ${type}`); - } - instance._defaultType = type; - }, - }); - - // Decorator for finish method. - const decoratedFinish = instance.finish; - instance.finish = (result) => { - if (instance._defaultType === 'auto_segmentation') { - try { - instance._defaultType = 'polygon'; - decoratedFinish.call(instance, result); - } finally { - instance._defaultType = 'auto_segmentation'; - } - } else { - decoratedFinish.call(instance, result); - } - }; - - return instance; - } - - constructorDecorator.prototype = OriginalClass.prototype; - constructorDecorator.prototype.constructor = constructorDecorator; - return constructorDecorator; - } - - - function ShapeCreatorViewWrapper(OriginalClass) { - // Constructor will patch some properties for each instance - function constructorDecorator(...args) { - const instance = new OriginalClass(...args); - - // Decorator for the _create() method. - // We save the decorated _create() and we will use it if type != 'auto_segmentation' - const decoratedCreate = instance._create; - instance._create = () => { - if (instance._type !== 'auto_segmentation') { - decoratedCreate.call(instance); - return; - } - - instance._drawInstance = instance._frameContent.polyline().draw({ snapToGrid: 0.1 }).addClass('shapeCreation').attr({ - 'stroke-width': 0, - z_order: Number.MAX_SAFE_INTEGER, - }); - instance._createPolyEvents(); - - /* the _createPolyEvents method have added "drawdone" - * event handler which invalid for this case - * because of that reason we remove the handler and - * create the valid handler instead - */ - instance._drawInstance.off('drawdone').on('drawdone', (e) => { - let actualPoints = window.cvat.translate.points.canvasToActual(e.target.getAttribute('points')); - actualPoints = PolyShapeModel.convertStringToNumberArray(actualPoints); - - if (actualPoints.length < 4) { - showMessage('It is need to specify minimum four extreme points for an object'); - instance._controller.switchCreateMode(true); - return; - } - - const { frameWidth } = window.cvat.player.geometry; - const { frameHeight } = window.cvat.player.geometry; - for (let idx = 0; idx < actualPoints.length; idx += 1) { - const point = actualPoints[idx]; - point.x = Math.clamp(point.x, 0, frameWidth); - point.y = Math.clamp(point.y, 0, frameHeight); - } - - e.target.setAttribute('points', - window.cvat.translate.points.actualToCanvas( - PolyShapeModel.convertNumberArrayToString(actualPoints), - )); - - const polybox = e.target.getBBox(); - const area = polybox.width * polybox.height; - - if (area > AREA_TRESHOLD) { - $.ajax({ - url: `/dextr/create/${window.cvat.job.id}`, - type: 'POST', - data: JSON.stringify({ - frame: window.cvat.player.frames.current, - points: actualPoints, - }), - contentType: 'application/json', - success: () => { - function intervalCallback() { - $.ajax({ - url: `/dextr/check/${window.cvat.job.id}`, - type: 'GET', - success: (jobData) => { - if (['queued', 'started'].includes(jobData.status)) { - if (jobData.status === 'queued') { - dextrCancelButton.prop('disabled', false); - } - setTimeout(intervalCallback, 1000); - } else { - dextrOverlay.addClass('hidden'); - if (jobData.status === 'finished') { - if (jobData.result) { - instance._controller.finish({ points: jobData.result }, 'polygon'); - } - } else if (jobData.status === 'failed') { - const message = `Segmentation has fallen. Error: '${jobData.stderr}'`; - showMessage(message); - } else { - let message = `Check segmentation request returned "${jobData.status}" status.`; - if (jobData.stderr) { - message += ` Error: ${jobData.stderr}`; - } - showMessage(message); - } - } - }, - error: (errorData) => { - dextrOverlay.addClass('hidden'); - const message = `Can not check segmentation. Code: ${errorData.status}.` - + ` Message: ${errorData.responseText || errorData.statusText}`; - showMessage(message); - }, - }); - } - - dextrCancelButton.prop('disabled', true); - dextrOverlay.removeClass('hidden'); - setTimeout(intervalCallback, 1000); - }, - error: (errorData) => { - const message = `Can not cancel ReID process. Code: ${errorData.status}.` - + ` Message: ${errorData.responseText || errorData.statusText}`; - showMessage(message); - }, - }); - } - - instance._controller.switchCreateMode(true); - }); // end of "drawdone" handler - }; // end of _create() method - - return instance; - } // end of constructorDecorator() - - constructorDecorator.prototype = OriginalClass.prototype; - constructorDecorator.prototype.constructor = constructorDecorator; - return constructorDecorator; - } // end of ShapeCreatorViewWrapper - - // Apply patch for classes - ShapeCreatorModel = ShapeCreatorModelWrapper(ShapeCreatorModel); - ShapeCreatorView = ShapeCreatorViewWrapper(ShapeCreatorView); -}); diff --git a/cvat/apps/dextr_segmentation/urls.py b/cvat/apps/dextr_segmentation/urls.py deleted file mode 100644 index 6b3120b6..00000000 --- a/cvat/apps/dextr_segmentation/urls.py +++ /dev/null @@ -1,13 +0,0 @@ -# Copyright (C) 2018-2020 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.urls import path -from . import views - -urlpatterns = [ - path('create/', views.create), - path('cancel/', views.cancel), - path('check/', views.check), - path('enabled', views.enabled) -] diff --git a/cvat/apps/dextr_segmentation/views.py b/cvat/apps/dextr_segmentation/views.py deleted file mode 100644 index dd78a2b0..00000000 --- a/cvat/apps/dextr_segmentation/views.py +++ /dev/null @@ -1,128 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.http import HttpResponse, HttpResponseBadRequest, JsonResponse -from cvat.apps.authentication.decorators import login_required -from rules.contrib.views import permission_required, objectgetter - -from cvat.apps.engine.models import Job -from cvat.apps.engine.log import slogger -from cvat.apps.dextr_segmentation.dextr import DEXTR_HANDLER - -import django_rq -import json -import rq - -__RQ_QUEUE_NAME = "default" -__DEXTR_HANDLER = DEXTR_HANDLER() - -def _dextr_thread(db_data, frame, points): - job = rq.get_current_job() - job.meta["result"] = __DEXTR_HANDLER.handle(db_data, frame, points) - job.save_meta() - - -@login_required -@permission_required(perm=["engine.job.change"], - fn=objectgetter(Job, "jid"), raise_exception=True) -def create(request, jid): - try: - data = json.loads(request.body.decode("utf-8")) - - points = data["points"] - frame = int(data["frame"]) - username = request.user.username - - slogger.job[jid].info("create dextr request for the JOB: {} ".format(jid) - + "by the USER: {} on the FRAME: {}".format(username, frame)) - - db_data = Job.objects.select_related("segment__task__data").get(id=jid).segment.task.data - - queue = django_rq.get_queue(__RQ_QUEUE_NAME) - rq_id = "dextr.create/{}/{}".format(jid, username) - job = queue.fetch_job(rq_id) - - if job is not None and (job.is_started or job.is_queued): - if "cancel" not in job.meta: - raise Exception("Segmentation process has been already run for the " + - "JOB: {} and the USER: {}".format(jid, username)) - else: - job.delete() - - queue.enqueue_call(func=_dextr_thread, - args=(db_data, frame, points), - job_id=rq_id, - timeout=15, - ttl=30) - - return HttpResponse() - except Exception as ex: - slogger.job[jid].error("can't create a dextr request for the job {}".format(jid), exc_info=True) - return HttpResponseBadRequest(str(ex)) - - -@login_required -@permission_required(perm=["engine.job.change"], - fn=objectgetter(Job, "jid"), raise_exception=True) -def cancel(request, jid): - try: - username = request.user.username - slogger.job[jid].info("cancel dextr request for the JOB: {} ".format(jid) - + "by the USER: {}".format(username)) - - queue = django_rq.get_queue(__RQ_QUEUE_NAME) - rq_id = "dextr.create/{}/{}".format(jid, username) - job = queue.fetch_job(rq_id) - - if job is None or job.is_finished or job.is_failed: - raise Exception("Segmentation isn't running now") - elif "cancel" not in job.meta: - job.meta["cancel"] = True - job.save_meta() - - return HttpResponse() - except Exception as ex: - slogger.job[jid].error("can't cancel a dextr request for the job {}".format(jid), exc_info=True) - return HttpResponseBadRequest(str(ex)) - - -@login_required -@permission_required(perm=["engine.job.change"], - fn=objectgetter(Job, "jid"), raise_exception=True) -def check(request, jid): - try: - username = request.user.username - slogger.job[jid].info("check dextr request for the JOB: {} ".format(jid) - + "by the USER: {}".format(username)) - - queue = django_rq.get_queue(__RQ_QUEUE_NAME) - rq_id = "dextr.create/{}/{}".format(jid, username) - job = queue.fetch_job(rq_id) - data = {} - - if job is None: - data["status"] = "unknown" - else: - if "cancel" in job.meta: - data["status"] = "finished" - elif job.is_queued: - data["status"] = "queued" - elif job.is_started: - data["status"] = "started" - elif job.is_finished: - data["status"] = "finished" - data["result"] = job.meta["result"] - job.delete() - else: - data["status"] = "failed" - data["stderr"] = job.exc_info - job.delete() - - return JsonResponse(data) - except Exception as ex: - slogger.job[jid].error("can't check a dextr request for the job {}".format(jid), exc_info=True) - return HttpResponseBadRequest(str(ex)) - -def enabled(request): - return HttpResponse() diff --git a/cvat/apps/documentation/admin.py b/cvat/apps/documentation/admin.py deleted file mode 100644 index af8dfc47..00000000 --- a/cvat/apps/documentation/admin.py +++ /dev/null @@ -1,9 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.contrib import admin - -# Register your models here. - diff --git a/cvat/apps/documentation/faq.md b/cvat/apps/documentation/faq.md index 4271e193..396c9ab4 100644 --- a/cvat/apps/documentation/faq.md +++ b/cvat/apps/documentation/faq.md @@ -4,13 +4,12 @@ - [How to change default CVAT hostname or port](#how-to-change-default-cvat-hostname-or-port) - [How to configure connected share folder on Windows](#how-to-configure-connected-share-folder-on-windows) - [How to make unassigned tasks not visible to all users](#how-to-make-unassigned-tasks-not-visible-to-all-users) -- [Can Nvidia GPU be used to run inference with my own model](#can-nvidia-gpu-be-used-to-run-inference-with-my-own-model) -- [What versions of OpenVINO toolkit are supported](#what-versions-of-openvino-toolkit-are-supported) - [Where are uploaded images/videos stored](#where-are-uploaded-imagesvideos-stored) - [Where are annotations stored](#where-are-annotations-stored) - [How to mark job/task as completed](#how-to-mark-jobtask-as-completed) - [How to install CVAT on Windows 10 Home](#how-to-install-cvat-on-windows-10-home) - +- [I do not have the Analytics tab on the header section. How can I add analytics](#i-do-not-have-the-analytics-tab-on-the-header-section-how-can-i-add-analytics) +- [How to upload annotations to an entire task from UI when there are multiple jobs in the task](#how-to-upload-annotations-to-an-entire-task-from-ui-when-there-are-multiple-jobs-in-the-task) ## How to update CVAT Before upgrading, please follow the official docker @@ -81,14 +80,6 @@ volumes: ## How to make unassigned tasks not visible to all users Set [reduce_task_visibility](../../settings/base.py#L424) variable to `True`. -## Can Nvidia GPU be used to run inference with my own model -Nvidia GPU can be used to accelerate inference of [tf_annotation](../../../components/tf_annotation/README.md) and [auto_segmentation](../../../components/auto_segmentation/README.md) models. - -OpenVino doesn't support Nvidia cards, so you can run your own models only on CPU. - -## What versions of OpenVINO toolkit are supported -These versions are supported: `2019 R3`, `2019 R3.1`, `2020 1`, `2020 2` - ## Where are uploaded images/videos stored The uploaded data is stored in the `cvat_data` docker volume: ```yml @@ -109,4 +100,11 @@ There are three types of status: annotation, validation or completed. The status of the job changes the progress bar of the task. ## How to install CVAT on Windows 10 Home -Follow this [guide](installation.md#windows-10). \ No newline at end of file +Follow this [guide](installation.md#windows-10). + +## I do not have the Analytics tab on the header section. How can I add analytics +You should build CVAT images with ['Analytics' component](../../../components/analytics). + +## How to upload annotations to an entire task from UI when there are multiple jobs in the task +You can upload annotation for a multi-job task from the Dasboard view or the Task view. +Uploading of annotation from the Annotation view only affects the current job. diff --git a/cvat/apps/documentation/installation.md b/cvat/apps/documentation/installation.md index 0f5ed35c..1741a16b 100644 --- a/cvat/apps/documentation/installation.md +++ b/cvat/apps/documentation/installation.md @@ -3,7 +3,9 @@ - [Windows 10](#windows-10) - [Mac OS Mojave](#mac-os-mojave) - [Advanced topics](#advanced-topics) + - [Deploying CVAT behind a proxy](#deploying-cvat-behind-a-proxy) - [Additional components](#additional-components) + - [Semi-automatic and automatic annotation](#semi-automatic-and-automatic-annotation) - [Stop all containers](#stop-all-containers) - [Advanced settings](#advanced-settings) - [Share path](#share-path) @@ -244,24 +246,66 @@ server. Proxy is an advanced topic and it is not covered by the guide. ## Advanced topics +### Deploying CVAT behind a proxy +If you deploy CVAT behind a proxy and do not plan to use any of [serverless functions](#semi-automatic-and-automatic-annotation) +for automatic annotation, the exported environment variables +`http_proxy`, `https_proxy` and `no_proxy` should be enough to build images. +Otherwise please create or edit the file `~/.docker/config.json` in the home directory of the user +which starts containers and add JSON such as the following: +```json +{ + "proxies": + { + "default": + { + "httpProxy": "http://proxy_server:port", + "httpsProxy": "http://proxy_server:port", + "noProxy": "*.test.example.com,.example2.com" + } + } +} +``` +These environment variables are set automatically within any container. +Please see the [Docker documentation](https://docs.docker.com/network/proxy/) for more details. + ### Additional components -- [Auto annotation using DL models in OpenVINO toolkit format](/cvat/apps/auto_annotation/README.md) - [Analytics: management and monitoring of data annotation team](/components/analytics/README.md) -- [TF Object Detection API: auto annotation](/components/tf_annotation/README.md) -- [Support for NVIDIA GPUs](/components/cuda/README.md) -- [Semi-automatic segmentation with Deep Extreme Cut](/cvat/apps/dextr_segmentation/README.md) -- [Auto segmentation: Keras+Tensorflow Mask R-CNN Segmentation](/components/auto_segmentation/README.md) ```bash -# Build and run containers with CUDA and OpenVINO support -# IMPORTANT: need to download OpenVINO package before running the command -docker-compose -f docker-compose.yml -f components/cuda/docker-compose.cuda.yml -f components/openvino/docker-compose.openvino.yml up -d --build - # Build and run containers with Analytics component support: docker-compose -f docker-compose.yml -f components/analytics/docker-compose.analytics.yml up -d --build ``` +### Semi-automatic and automatic annotation + +- You have to install `nuctl` command line tool to build and deploy serverless +functions. Download [the latest release](https://github.com/nuclio/nuclio/releases). +- Create `cvat` project inside nuclio dashboard where you will deploy new +serverless functions and deploy a couple of DL models. Commands below should +be run only after CVAT has been installed using docker-compose because it +runs nuclio dashboard which manages all serverless functions. + +```bash +nuctl create project cvat +``` + +```bash +nuctl deploy --project-name cvat \ + --path serverless/openvino/dextr/nuclio \ + --volume `pwd`/serverless/openvino/common:/opt/nuclio/common \ + --platform local +``` + +```bash +nuctl deploy --project-name cvat \ + --path serverless/openvino/omz/public/yolo-v3-tf/nuclio \ + --volume `pwd`/serverless/openvino/common:/opt/nuclio/common \ + --platform local +``` + +Note: see [deploy.sh](/serverless/deploy.sh) script for more examples. + ### Stop all containers The command below stops and removes containers, networks, volumes, and images @@ -327,9 +371,9 @@ our server connection. We assume that -- you have sudo access on your server machine, -- you have an IP address to use for remote access, and -- that the local CVAT installation works on your server. +- you have sudo access on your server machine, +- you have an IP address to use for remote access, and +- that the local CVAT installation works on your server. If this is not the case, please complete the steps in the installation manual first. @@ -525,7 +569,7 @@ server { proxy_set_header Host $http_host; proxy_pass_header Set-Cookie; - location ~* /api/.*|git/.*|tensorflow/.*|auto_annotation/.*|analytics/.*|static/.*|admin|admin/.*|documentation/.*|dextr/.*|reid/.* { + location ~* /api/.*|git/.*|analytics/.*|static/.*|admin|admin/.*|documentation/.* { proxy_pass http://cvat:8080; } @@ -550,6 +594,6 @@ server { Start cvat_proxy container with https enabled. -``` +```bash docker start cvat_proxy -``` \ No newline at end of file +``` diff --git a/cvat/apps/documentation/migrations/__init__.py b/cvat/apps/documentation/migrations/__init__.py deleted file mode 100644 index d8e62e54..00000000 --- a/cvat/apps/documentation/migrations/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - diff --git a/cvat/apps/documentation/models.py b/cvat/apps/documentation/models.py deleted file mode 100644 index cdf3b082..00000000 --- a/cvat/apps/documentation/models.py +++ /dev/null @@ -1,9 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.db import models - -# Create your models here. - diff --git a/cvat/apps/documentation/static/documentation/images/image067.jpg b/cvat/apps/documentation/static/documentation/images/image067.jpg index ce8cba2b..25161e07 100644 Binary files a/cvat/apps/documentation/static/documentation/images/image067.jpg and b/cvat/apps/documentation/static/documentation/images/image067.jpg differ diff --git a/cvat/apps/documentation/static/documentation/images/image155.jpg b/cvat/apps/documentation/static/documentation/images/image155.jpg index 5081f66d..5efa220b 100644 Binary files a/cvat/apps/documentation/static/documentation/images/image155.jpg and b/cvat/apps/documentation/static/documentation/images/image155.jpg differ diff --git a/cvat/apps/documentation/static/documentation/images/image181.jpg b/cvat/apps/documentation/static/documentation/images/image181.jpg index 1714be9e..81181476 100644 Binary files a/cvat/apps/documentation/static/documentation/images/image181.jpg and b/cvat/apps/documentation/static/documentation/images/image181.jpg differ diff --git a/cvat/apps/documentation/static/documentation/images/image183.jpg b/cvat/apps/documentation/static/documentation/images/image183.jpg new file mode 100644 index 00000000..0f0cffd2 Binary files /dev/null and b/cvat/apps/documentation/static/documentation/images/image183.jpg differ diff --git a/cvat/apps/documentation/tests.py b/cvat/apps/documentation/tests.py deleted file mode 100644 index 53bc3b7a..00000000 --- a/cvat/apps/documentation/tests.py +++ /dev/null @@ -1,9 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.test import TestCase - -# Create your tests here. - diff --git a/cvat/apps/documentation/user_guide.md b/cvat/apps/documentation/user_guide.md index fd0e09e0..f135b671 100644 --- a/cvat/apps/documentation/user_guide.md +++ b/cvat/apps/documentation/user_guide.md @@ -639,6 +639,7 @@ To open the settings open the user menu in the header and select the settings it In tab ``Player`` you can: - Control step of ``C`` and ``V`` shortcuts. - Control speed of ``Space``/``Play`` button. +- Select canvas background color. You can choose a background color or enter manually (in RGB or HEX format). - Show ``Grid``, change grid size, choose color and transparency: ![](static/documentation/images/image068_mapillary_vistas.jpg) @@ -799,7 +800,7 @@ Switching between user interface modes. |Icon |Description |Links to section | |-- |-- |-- | |![](static/documentation/images/image167.jpg)|``Rectangle``|[Shape mode](#shape-mode-basics); [Track mode](#track-mode-basics);
[Drawing by 4 points](#annotation-with-rectangle-by-4-points)| -|![](static/documentation/images/image168.jpg)|``Polygon`` |[Annotation with polygons](#annotation-with-polygons) | +|![](static/documentation/images/image168.jpg)|``Polygon`` |[Annotation with polygons](#annotation-with-polygons); [Track mode with polygons](#track-mode-with-polygons) | |![](static/documentation/images/image169.jpg)|``Polyline`` |[Annotation with polylines](#annotation-with-polylines)| |![](static/documentation/images/image170.jpg)|``Points`` |[Annotation with points](#annotation-with-points) | |![](static/documentation/images/image176.jpg)|``Cuboid`` |[Annotation with cuboids](#annotation-with-cuboids) | @@ -1271,20 +1272,23 @@ Simply drag the faces to move them independently from the rest of the cuboid. ![](static/documentation/images/gif020_mapillary_vistas.gif) -You can also use cuboids in track mode, similar to rectangles in track mode ([basics](#track-mode-basics) and [advanced](#track-mode-advanced)) +You can also use cuboids in track mode, similar to rectangles in track mode ([basics](#track-mode-basics) and [advanced](#track-mode-advanced)) or [Track mode with polygons](#track-mode-with-polygons) ## Annotation with Tags -Used to annotate frames, does not have a shape in the workspace. -Before you start, you have to make sure that Tag is selected. +It is used to annotate frames, tags are not displayed in the workspace. +Before you start, open the drop-down list in the top panel and select ``Tag annotation``. -![](static/documentation/images/image181.jpg) +![](static/documentation/images/image183.jpg) + +The objects sidebar will be replaced with a special panel for working with tags. +Here you can select a label for a tag and add it by clicking on the ``Add tag`` button. +You can also customize hotkeys for each label. -Click tag to create. You can work with Tag only on the sidebar. -You can use the lock function and change label and attribute. -Other functions such as propagate, make a copy and remove are available in the action menu. +![](static/documentation/images/image181.jpg) -![](static/documentation/images/image135.jpg) +If you need to use only one label for one frame, then enable the ``Automatically go to the next frame`` +checkbox, then after you add the tag the frame will automatically switch to the next. ## Track mode with polygons @@ -1491,6 +1495,7 @@ Many UI elements have shortcut hints. Put your pointer to a required element to | | _Modes_ | | ``N`` | Repeat the latest procedure of drawing with the same parameters | | ``M`` | Activate or deactivate mode to merging shapes | +| ``Alt+M`` | Activate or deactivate mode to spliting shapes | | ``G`` | Activate or deactivate mode to grouping shapes | | ``Shift+G`` | Reset group for selected shapes (in group mode) | | ``Esc`` | Cancel any active canvas mode | diff --git a/cvat/apps/engine/models.py b/cvat/apps/engine/models.py index 690ab216..931acff3 100644 --- a/cvat/apps/engine/models.py +++ b/cvat/apps/engine/models.py @@ -320,7 +320,7 @@ class ShapeType(str, Enum): def __str__(self): return self.value -class source(str, Enum): +class SourceType(str, Enum): AUTO = 'auto' MANUAL = 'manual' @@ -337,7 +337,8 @@ class Annotation(models.Model): label = models.ForeignKey(Label, on_delete=models.CASCADE) frame = models.PositiveIntegerField() group = models.PositiveIntegerField(null=True) - source = models.CharField(max_length=16, choices=source.choices(), default="manual", null=True) + source = models.CharField(max_length=16, choices=SourceType.choices(), + default=str(SourceType.MANUAL), null=True) class Meta: abstract = True @@ -410,20 +411,3 @@ class TrackedShape(Shape): class TrackedShapeAttributeVal(AttributeVal): shape = models.ForeignKey(TrackedShape, on_delete=models.CASCADE) - -class Plugin(models.Model): - name = models.SlugField(max_length=32, primary_key=True) - description = SafeCharField(max_length=8192) - maintainer = models.ForeignKey(User, null=True, blank=True, - on_delete=models.SET_NULL, related_name="maintainers") - created_at = models.DateTimeField(auto_now_add=True) - updated_at = models.DateTimeField(auto_now_add=True) - - # Extend default permission model - class Meta: - default_permissions = () - -class PluginOption(models.Model): - plugin = models.ForeignKey(Plugin, on_delete=models.CASCADE) - name = SafeCharField(max_length=32) - value = SafeCharField(max_length=1024) diff --git a/cvat/apps/engine/serializers.py b/cvat/apps/engine/serializers.py index e789ae94..0983b4bd 100644 --- a/cvat/apps/engine/serializers.py +++ b/cvat/apps/engine/serializers.py @@ -454,12 +454,6 @@ class FileInfoSerializer(serializers.Serializer): name = serializers.CharField(max_length=1024) type = serializers.ChoiceField(choices=["REG", "DIR"]) -class PluginSerializer(serializers.ModelSerializer): - class Meta: - model = models.Plugin - fields = ('name', 'description', 'maintainer', 'created_at', - 'updated_at') - class LogEventSerializer(serializers.Serializer): job_id = serializers.IntegerField(required=False) task_id = serializers.IntegerField(required=False) diff --git a/cvat/apps/engine/static/engine/base.css b/cvat/apps/engine/static/engine/base.css deleted file mode 100644 index 61115dd7..00000000 --- a/cvat/apps/engine/static/engine/base.css +++ /dev/null @@ -1,181 +0,0 @@ -/* - * Copyright (C) 2018 Intel Corporation - * - * SPDX-License-Identifier: MIT - */ - -html { - background-color: #FFFFFF; - margin: 0px auto; - -webkit-user-select: none; - -moz-user-select: none; - -ms-user-select: none; - user-select: none; -} - -@font-face { - font-family: BarlowSemiCondensed-Regular; - src: url(fonts/BarlowSemiCondensed-Regular.ttf); -} - -@font-face { - font-family: BarlowSemiCondensed-SemiBold; - src: url(fonts/BarlowSemiCondensed-SemiBold.ttf); -} - -@font-face { - font-family: BarlowSemiCondensed-Bold; - src: url(fonts/BarlowSemiCondensed-Bold.ttf); -} - -.regular { - font-family: BarlowSemiCondensed-Regular; -} - -.semiBold { - font-family: BarlowSemiCondensed-SemiBold; -} - -.bold { - font-family: BarlowSemiCondensed-Bold; -} - -.h2 { - font-size: 1.2em; -} - -.h1 { - font-size: 1.4em; -} - -.h3 { - font-size: 1.1em; -} - -.overlay { - position: fixed; - display: none; - width: 100%; - height: 100%; - top: 0; - left: 0; - right: 0; - bottom: 0; - background-color: white; - z-index: 100; -} - -.modal { - position: fixed; - z-index: 10; - left: 0; - top: 0; - width: 100%; - height: 100%; - overflow: auto; - background-color: rgb(0,0,0); - background-color: rgba(0,0,0,0.4); -} - -.modal-content { - background-color: #FFFFFF; - margin: 15% auto; - padding: 20px; - border: 1px solid #888; - width: 80%; -} - -.close { - position: absolute; - right: 5px; - top: 5px; - width: 32px; - height: 32px; - opacity: 0.3; - } - - .close:hover { - opacity: 1; - } - - .close:before, .close:after { - position: absolute; - left: 15px; - content: ' '; - height: 22px; - width: 2px; - background-color: #333; - } - - .close:before { - transform: rotate(45deg); - } - - .close:after { - transform: rotate(-45deg); - } - -.tab { - overflow: hidden; - border: 1px solid black; - background-color: #B0C4DE; -} - -.tab button { - background-color: inherit; - float: left; - border: none; - outline: none; - cursor: pointer; - padding: 3px 0px; - transition: 0.3s; - -} - -.tab button:hover { - background-color: #81aee8; -} - -.tab button.active { - background-color: #ccc; -} - -.activeTabButton { - background-color: #81aee8 !important; -} - -.hidden { - display: none; -} - -.selectable { - -webkit-user-select: text; - -moz-user-select: text; - -ms-user-select: text; - user-select: text; -} - -.dropdown { - position: relative; -} - -.dropdown-content { - position: absolute; - background-color: #f1f1f1; - min-width: 160px; - box-shadow: 0px 8px 16px 0px rgba(0,0,0,0.2); - z-index: 1; - list-style-type: none; - padding-inline-start: 0; - margin-left: 20%; - margin-top: -1%; -} - -.dropdown-content li { - color: black; - padding: 12px 16px; - text-decoration: none; - display: block; -} - -.dropdown-content li:hover {background-color: #ddd} \ No newline at end of file diff --git a/cvat/apps/engine/static/engine/fonts/BarlowSemiCondensed-Bold.ttf b/cvat/apps/engine/static/engine/fonts/BarlowSemiCondensed-Bold.ttf deleted file mode 100644 index 35b5a372..00000000 Binary files a/cvat/apps/engine/static/engine/fonts/BarlowSemiCondensed-Bold.ttf and /dev/null differ diff --git a/cvat/apps/engine/static/engine/fonts/BarlowSemiCondensed-Regular.ttf b/cvat/apps/engine/static/engine/fonts/BarlowSemiCondensed-Regular.ttf deleted file mode 100644 index ccdebedc..00000000 Binary files a/cvat/apps/engine/static/engine/fonts/BarlowSemiCondensed-Regular.ttf and /dev/null differ diff --git a/cvat/apps/engine/static/engine/fonts/BarlowSemiCondensed-SemiBold.ttf b/cvat/apps/engine/static/engine/fonts/BarlowSemiCondensed-SemiBold.ttf deleted file mode 100644 index 660b4025..00000000 Binary files a/cvat/apps/engine/static/engine/fonts/BarlowSemiCondensed-SemiBold.ttf and /dev/null differ diff --git a/cvat/apps/engine/static/engine/fonts/README.md b/cvat/apps/engine/static/engine/fonts/README.md deleted file mode 100644 index 73a8fef3..00000000 --- a/cvat/apps/engine/static/engine/fonts/README.md +++ /dev/null @@ -1,95 +0,0 @@ -Fonts was downloaded from: https://fonts.google.com/specimen/Barlow+Semi+Condensed - -Copyright 2017 The Barlow Project Authors (https://github.com/jpt/barlow) - -This Font Software is licensed under the SIL Open Font License, Version 1.1. -This license is copied below, and is also available with a FAQ at: -http://scripts.sil.org/OFL - - ------------------------------------------------------------ -SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 ------------------------------------------------------------ - -PREAMBLE -The goals of the Open Font License (OFL) are to stimulate worldwide -development of collaborative font projects, to support the font creation -efforts of academic and linguistic communities, and to provide a free and -open framework in which fonts may be shared and improved in partnership -with others. - -The OFL allows the licensed fonts to be used, studied, modified and -redistributed freely as long as they are not sold by themselves. The -fonts, including any derivative works, can be bundled, embedded, -redistributed and/or sold with any software provided that any reserved -names are not used by derivative works. The fonts and derivatives, -however, cannot be released under any other type of license. The -requirement for fonts to remain under this license does not apply -to any document created using the fonts or their derivatives. - -DEFINITIONS -"Font Software" refers to the set of files released by the Copyright -Holder(s) under this license and clearly marked as such. This may -include source files, build scripts and documentation. - -"Reserved Font Name" refers to any names specified as such after the -copyright statement(s). - -"Original Version" refers to the collection of Font Software components as -distributed by the Copyright Holder(s). - -"Modified Version" refers to any derivative made by adding to, deleting, -or substituting -- in part or in whole -- any of the components of the -Original Version, by changing formats or by porting the Font Software to a -new environment. - -"Author" refers to any designer, engineer, programmer, technical -writer or other person who contributed to the Font Software. - -PERMISSION & CONDITIONS -Permission is hereby granted, free of charge, to any person obtaining -a copy of the Font Software, to use, study, copy, merge, embed, modify, -redistribute, and sell modified and unmodified copies of the Font -Software, subject to the following conditions: - -1) Neither the Font Software nor any of its individual components, -in Original or Modified Versions, may be sold by itself. - -2) Original or Modified Versions of the Font Software may be bundled, -redistributed and/or sold with any software, provided that each copy -contains the above copyright notice and this license. These can be -included either as stand-alone text files, human-readable headers or -in the appropriate machine-readable metadata fields within text or -binary files as long as those fields can be easily viewed by the user. - -3) No Modified Version of the Font Software may use the Reserved Font -Name(s) unless explicit written permission is granted by the corresponding -Copyright Holder. This restriction only applies to the primary font name as -presented to the users. - -4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font -Software shall not be used to promote, endorse or advertise any -Modified Version, except to acknowledge the contribution(s) of the -Copyright Holder(s) and the Author(s) or with their explicit written -permission. - -5) The Font Software, modified or unmodified, in part or in whole, -must be distributed entirely under this license, and must not be -distributed under any other license. The requirement for fonts to -remain under this license does not apply to any document created -using the Font Software. - -TERMINATION -This license becomes null and void if any of the above conditions are -not met. - -DISCLAIMER -THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, -EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF -MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT -OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE -COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, -INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL -DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING -FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM -OTHER DEALINGS IN THE FONT SOFTWARE. diff --git a/cvat/apps/engine/static/engine/icons/README.md b/cvat/apps/engine/static/engine/icons/README.md deleted file mode 100644 index bad04298..00000000 --- a/cvat/apps/engine/static/engine/icons/README.md +++ /dev/null @@ -1,5 +0,0 @@ -Icons was downloaded from: https://icomoon.io/#preview-free [GitHub](https://github.com/Keyamoon/IcoMoon-Free) - -[License](https://github.com/Keyamoon/IcoMoon-Free/blob/master/License.txt): - -You can use this package under one of these two licenses: [CC BY 4.0](http://creativecommons.org/licenses/by/4.0/) or [GPL](http://www.gnu.org/licenses/gpl.html). diff --git a/cvat/apps/engine/static/engine/icons/copy.png b/cvat/apps/engine/static/engine/icons/copy.png deleted file mode 100644 index 5e76a30c..00000000 Binary files a/cvat/apps/engine/static/engine/icons/copy.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/hidden-shape.png b/cvat/apps/engine/static/engine/icons/hidden-shape.png deleted file mode 100644 index 60fb969e..00000000 Binary files a/cvat/apps/engine/static/engine/icons/hidden-shape.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/hidden-text.png b/cvat/apps/engine/static/engine/icons/hidden-text.png deleted file mode 100644 index 36f73c89..00000000 Binary files a/cvat/apps/engine/static/engine/icons/hidden-text.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/initKeyFrame.png b/cvat/apps/engine/static/engine/icons/initKeyFrame.png deleted file mode 100644 index 62761e7c..00000000 Binary files a/cvat/apps/engine/static/engine/icons/initKeyFrame.png and /dev/null differ diff --git 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diff --git a/cvat/apps/engine/static/engine/icons/non-keyframe.png b/cvat/apps/engine/static/engine/icons/non-keyframe.png deleted file mode 100644 index 619dd5bd..00000000 Binary files a/cvat/apps/engine/static/engine/icons/non-keyframe.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/non-occluded.png b/cvat/apps/engine/static/engine/icons/non-occluded.png deleted file mode 100644 index 74ba4675..00000000 Binary files a/cvat/apps/engine/static/engine/icons/non-occluded.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/non-outside.png b/cvat/apps/engine/static/engine/icons/non-outside.png deleted file mode 100644 index 56771045..00000000 Binary files a/cvat/apps/engine/static/engine/icons/non-outside.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/occluded.png b/cvat/apps/engine/static/engine/icons/occluded.png deleted file mode 100644 index 9b607ca9..00000000 Binary files a/cvat/apps/engine/static/engine/icons/occluded.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/outside.png b/cvat/apps/engine/static/engine/icons/outside.png deleted file mode 100644 index 4f7cea67..00000000 Binary files a/cvat/apps/engine/static/engine/icons/outside.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/prevKeyFrame.png b/cvat/apps/engine/static/engine/icons/prevKeyFrame.png deleted file mode 100644 index 82b65200..00000000 Binary files a/cvat/apps/engine/static/engine/icons/prevKeyFrame.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/propagate.png b/cvat/apps/engine/static/engine/icons/propagate.png deleted file mode 100644 index a575441e..00000000 Binary files a/cvat/apps/engine/static/engine/icons/propagate.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/icons/unlock.png b/cvat/apps/engine/static/engine/icons/unlock.png deleted file mode 100644 index 5b736985..00000000 Binary files a/cvat/apps/engine/static/engine/icons/unlock.png and /dev/null differ diff --git a/cvat/apps/engine/static/engine/js/3rdparty.patch b/cvat/apps/engine/static/engine/js/3rdparty.patch deleted file mode 100644 index 7fb96693..00000000 --- a/cvat/apps/engine/static/engine/js/3rdparty.patch +++ /dev/null @@ -1,128 +0,0 @@ -From 11bd98c7f1ecf5a57b0eb327e6e86fa1e6ca33d9 Mon Sep 17 00:00:00 2001 -From: Boris Sekachev -Date: Tue, 25 Feb 2020 19:08:36 +0300 -Subject: [PATCH] Applied patch - ---- - .../static/engine/js/3rdparty/svg.draggable.js | 1 + - .../static/engine/js/3rdparty/svg.draw.js | 17 +++++++++++++++-- - .../static/engine/js/3rdparty/svg.resize.min.js | 2 +- - .../static/engine/js/3rdparty/svg.select.js | 5 ++++- - 4 files changed, 21 insertions(+), 4 deletions(-) - -diff --git a/cvat/apps/engine/static/engine/js/3rdparty/svg.draggable.js b/cvat/apps/engine/static/engine/js/3rdparty/svg.draggable.js -index d88abf5..aba474c 100644 ---- a/cvat/apps/engine/static/engine/js/3rdparty/svg.draggable.js -+++ b/cvat/apps/engine/static/engine/js/3rdparty/svg.draggable.js -@@ -109,6 +109,7 @@ - - // while dragging - DragHandler.prototype.drag = function(e){ -+ this.m = this.el.node.getScreenCTM().inverse(); - - var box = this.getBBox() - , p = this.transformPoint(e) -diff --git a/cvat/apps/engine/static/engine/js/3rdparty/svg.draw.js b/cvat/apps/engine/static/engine/js/3rdparty/svg.draw.js -index 68dbf2a..20a6917 100644 ---- a/cvat/apps/engine/static/engine/js/3rdparty/svg.draw.js -+++ b/cvat/apps/engine/static/engine/js/3rdparty/svg.draw.js -@@ -18,6 +18,7 @@ - this.startPoint = null; - this.lastUpdateCall = null; - this.options = {}; -+ this.set = new SVG.Set(); - - // Merge options and defaults - for (var i in this.el.draw.defaults) { -@@ -139,6 +140,8 @@ - // Call the calc-function which calculates the new position and size - this.calc(event); - -+ this.m = this.el.node.getScreenCTM().inverse(); -+ this.offset = { x: window.pageXOffset, y: window.pageYOffset }; - // Fire the `drawupdate`-event - this.el.fire('drawupdate', {event:event, p:this.p, m:this.m}); - }; -@@ -160,6 +163,16 @@ - this.el.fire('drawcancel'); - }; - -+ // Undo last drawed point -+ PaintHandler.prototype.undo = function () { -+ if (this.set.length()) { -+ this.set.members.splice(-1, 1)[0].remove(); -+ this.el.array().value.splice(-2, 1); -+ this.el.plot(this.el.array()); -+ this.el.fire('undopoint'); -+ } -+ }; -+ - // Calculate the corrected position when using `snapToGrid` - PaintHandler.prototype.snapToGrid = function (draw) { - -@@ -371,14 +384,14 @@ - - this.set.clear(); - -- for (var i = 0; i < array.length; ++i) { -+ for (var i = 0; i < array.length - 1; ++i) { - - this.p.x = array[i][0] - this.p.y = array[i][1] - - var p = this.p.matrixTransform(this.parent.node.getScreenCTM().inverse().multiply(this.el.node.getScreenCTM())); - -- this.set.add(this.parent.circle(5).stroke({width: 1}).fill('#ccc').center(p.x, p.y)); -+ this.set.add(this.parent.circle(5).stroke({width: 1}).fill('#ccc').center(p.x, p.y)).addClass("svg_draw_point"); - } - } - -diff --git a/cvat/apps/engine/static/engine/js/3rdparty/svg.resize.min.js b/cvat/apps/engine/static/engine/js/3rdparty/svg.resize.min.js -index 2dca34b..50ef3d3 100644 ---- a/cvat/apps/engine/static/engine/js/3rdparty/svg.resize.min.js -+++ b/cvat/apps/engine/static/engine/js/3rdparty/svg.resize.min.js -@@ -1 +1 @@ --/*! svg.resize.js v1.4.3 MIT*/;!function(){"use strict";(function(){function t(t){t.remember("_resizeHandler",this),this.el=t,this.parameters={},this.lastUpdateCall=null,this.p=t.doc().node.createSVGPoint()}t.prototype.transformPoint=function(t,e,i){return this.p.x=t-(this.offset.x-window.pageXOffset),this.p.y=e-(this.offset.y-window.pageYOffset),this.p.matrixTransform(i||this.m)},t.prototype._extractPosition=function(t){return{x:null!=t.clientX?t.clientX:t.touches[0].clientX,y:null!=t.clientY?t.clientY:t.touches[0].clientY}},t.prototype.init=function(t){var e=this;if(this.stop(),"stop"!==t){this.options={};for(var i in this.el.resize.defaults)this.options[i]=this.el.resize.defaults[i],void 0!==t[i]&&(this.options[i]=t[i]);this.el.on("lt.resize",function(t){e.resize(t||window.event)}),this.el.on("rt.resize",function(t){e.resize(t||window.event)}),this.el.on("rb.resize",function(t){e.resize(t||window.event)}),this.el.on("lb.resize",function(t){e.resize(t||window.event)}),this.el.on("t.resize",function(t){e.resize(t||window.event)}),this.el.on("r.resize",function(t){e.resize(t||window.event)}),this.el.on("b.resize",function(t){e.resize(t||window.event)}),this.el.on("l.resize",function(t){e.resize(t||window.event)}),this.el.on("rot.resize",function(t){e.resize(t||window.event)}),this.el.on("point.resize",function(t){e.resize(t||window.event)}),this.update()}},t.prototype.stop=function(){return this.el.off("lt.resize"),this.el.off("rt.resize"),this.el.off("rb.resize"),this.el.off("lb.resize"),this.el.off("t.resize"),this.el.off("r.resize"),this.el.off("b.resize"),this.el.off("l.resize"),this.el.off("rot.resize"),this.el.off("point.resize"),this},t.prototype.resize=function(t){var e=this;this.m=this.el.node.getScreenCTM().inverse(),this.offset={x:window.pageXOffset,y:window.pageYOffset};var i=this._extractPosition(t.detail.event);if(this.parameters={type:this.el.type,p:this.transformPoint(i.x,i.y),x:t.detail.x,y:t.detail.y,box:this.el.bbox(),rotation:this.el.transform().rotation},"text"===this.el.type&&(this.parameters.fontSize=this.el.attr()["font-size"]),void 0!==t.detail.i){var s=this.el.array().valueOf();this.parameters.i=t.detail.i,this.parameters.pointCoords=[s[t.detail.i][0],s[t.detail.i][1]]}switch(t.type){case"lt":this.calc=function(t,e){var i=this.snapToGrid(t,e);if(this.parameters.box.width-i[0]>0&&this.parameters.box.height-i[1]>0){if("text"===this.parameters.type)return this.el.move(this.parameters.box.x+i[0],this.parameters.box.y),void this.el.attr("font-size",this.parameters.fontSize-i[0]);i=this.checkAspectRatio(i),this.el.move(this.parameters.box.x+i[0],this.parameters.box.y+i[1]).size(this.parameters.box.width-i[0],this.parameters.box.height-i[1])}};break;case"rt":this.calc=function(t,e){var i=this.snapToGrid(t,e,2);if(this.parameters.box.width+i[0]>0&&this.parameters.box.height-i[1]>0){if("text"===this.parameters.type)return this.el.move(this.parameters.box.x-i[0],this.parameters.box.y),void this.el.attr("font-size",this.parameters.fontSize+i[0]);i=this.checkAspectRatio(i,!0),this.el.move(this.parameters.box.x,this.parameters.box.y+i[1]).size(this.parameters.box.width+i[0],this.parameters.box.height-i[1])}};break;case"rb":this.calc=function(t,e){var 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i=this.snapToGrid(t,e,2);if(this.parameters.box.height-i[1]>0){if("text"===this.parameters.type)return;this.el.move(this.parameters.box.x,this.parameters.box.y+i[1]).height(this.parameters.box.height-i[1])}};break;case"r":this.calc=function(t,e){var i=this.snapToGrid(t,e,0);if(this.parameters.box.width+i[0]>0){if("text"===this.parameters.type)return;this.el.move(this.parameters.box.x,this.parameters.box.y).width(this.parameters.box.width+i[0])}};break;case"b":this.calc=function(t,e){var i=this.snapToGrid(t,e,0);if(this.parameters.box.height+i[1]>0){if("text"===this.parameters.type)return;this.el.move(this.parameters.box.x,this.parameters.box.y).height(this.parameters.box.height+i[1])}};break;case"l":this.calc=function(t,e){var i=this.snapToGrid(t,e,1);if(this.parameters.box.width-i[0]>0){if("text"===this.parameters.type)return;this.el.move(this.parameters.box.x+i[0],this.parameters.box.y).width(this.parameters.box.width-i[0])}};break;case"rot":this.calc=function(t,e){var i={x:t+this.parameters.p.x,y:e+this.parameters.p.y},s=Math.atan2(this.parameters.p.y-this.parameters.box.y-this.parameters.box.height/2,this.parameters.p.x-this.parameters.box.x-this.parameters.box.width/2),r=Math.atan2(i.y-this.parameters.box.y-this.parameters.box.height/2,i.x-this.parameters.box.x-this.parameters.box.width/2),a=this.parameters.rotation+180*(r-s)/Math.PI+this.options.snapToAngle/2;this.el.center(this.parameters.box.cx,this.parameters.box.cy).rotate(a-a%this.options.snapToAngle,this.parameters.box.cx,this.parameters.box.cy)};break;case"point":this.calc=function(t,e){var i=this.snapToGrid(t,e,this.parameters.pointCoords[0],this.parameters.pointCoords[1]),s=this.el.array().valueOf();s[this.parameters.i][0]=this.parameters.pointCoords[0]+i[0],s[this.parameters.i][1]=this.parameters.pointCoords[1]+i[1],this.el.plot(s)}}this.el.fire("resizestart",{dx:this.parameters.x,dy:this.parameters.y,event:t}),SVG.on(window,"touchmove.resize",function(t){e.update(t||window.event)}),SVG.on(window,"touchend.resize",function(){e.done()}),SVG.on(window,"mousemove.resize",function(t){e.update(t||window.event)}),SVG.on(window,"mouseup.resize",function(){e.done()})},t.prototype.update=function(t){if(!t)return void(this.lastUpdateCall&&this.calc(this.lastUpdateCall[0],this.lastUpdateCall[1]));var e=this._extractPosition(t),i=this.transformPoint(e.x,e.y),s=i.x-this.parameters.p.x,r=i.y-this.parameters.p.y;this.lastUpdateCall=[s,r],this.calc(s,r),this.el.fire("resizing",{dx:s,dy:r,event:t})},t.prototype.done=function(){this.lastUpdateCall=null,SVG.off(window,"mousemove.resize"),SVG.off(window,"mouseup.resize"),SVG.off(window,"touchmove.resize"),SVG.off(window,"touchend.resize"),this.el.fire("resizedone")},t.prototype.snapToGrid=function(t,e,i,s){var r;return void 0!==s?r=[(i+t)%this.options.snapToGrid,(s+e)%this.options.snapToGrid]:(i=null==i?3:i,r=[(this.parameters.box.x+t+(1&i?0:this.parameters.box.width))%this.options.snapToGrid,(this.parameters.box.y+e+(2&i?0:this.parameters.box.height))%this.options.snapToGrid]),t<0&&(r[0]-=this.options.snapToGrid),e<0&&(r[1]-=this.options.snapToGrid),t-=Math.abs(r[0])o.maxX&&(t=o.maxX-r),void 0!==o.minY&&a+eo.maxY&&(e=o.maxY-a),[t,e]},t.prototype.checkAspectRatio=function(t,e){if(!this.options.saveAspectRatio)return t;var i=t.slice(),s=this.parameters.box.width/this.parameters.box.height,r=this.parameters.box.width+t[0],a=this.parameters.box.height-t[1],o=r/a;return os&&(i[0]=this.parameters.box.width-a*s,e&&(i[0]=-i[0])),i},SVG.extend(SVG.Element,{resize:function(e){return(this.remember("_resizeHandler")||new t(this)).init(e||{}),this}}),SVG.Element.prototype.resize.defaults={snapToAngle:.1,snapToGrid:1,constraint:{},saveAspectRatio:!1}}).call(this)}(); -+/*! svg.resize.js v1.4.3 MIT*/;!function(){"use strict";(function(){function t(t){t.remember("_resizeHandler",this),this.el=t,this.parameters={},this.lastUpdateCall=null,this.p=t.doc().node.createSVGPoint()}t.prototype.transformPoint=function(t,e,i){return this.p.x=t-(this.offset.x-window.pageXOffset),this.p.y=e-(this.offset.y-window.pageYOffset),this.p.matrixTransform(i||this.m)},t.prototype._extractPosition=function(t){return{x:null!=t.clientX?t.clientX:t.touches[0].clientX,y:null!=t.clientY?t.clientY:t.touches[0].clientY}},t.prototype.init=function(t){var e=this;if(this.stop(),"stop"!==t){this.options={};for(var i in this.el.resize.defaults)this.options[i]=this.el.resize.defaults[i],void 0!==t[i]&&(this.options[i]=t[i]);this.el.on("lt.resize",function(t){e.resize(t||window.event)}),this.el.on("rt.resize",function(t){e.resize(t||window.event)}),this.el.on("rb.resize",function(t){e.resize(t||window.event)}),this.el.on("lb.resize",function(t){e.resize(t||window.event)}),this.el.on("t.resize",function(t){e.resize(t||window.event)}),this.el.on("r.resize",function(t){e.resize(t||window.event)}),this.el.on("b.resize",function(t){e.resize(t||window.event)}),this.el.on("l.resize",function(t){e.resize(t||window.event)}),this.el.on("rot.resize",function(t){e.resize(t||window.event)}),this.el.on("point.resize",function(t){e.resize(t||window.event)}),this.update()}},t.prototype.stop=function(){return this.el.off("lt.resize"),this.el.off("rt.resize"),this.el.off("rb.resize"),this.el.off("lb.resize"),this.el.off("t.resize"),this.el.off("r.resize"),this.el.off("b.resize"),this.el.off("l.resize"),this.el.off("rot.resize"),this.el.off("point.resize"),this},t.prototype.resize=function(t){if(!t.detail.event.button){var e=this;this.m=this.el.node.getScreenCTM().inverse(),this.offset={x:window.pageXOffset,y:window.pageYOffset};var i=this._extractPosition(t.detail.event);if(this.parameters={type:this.el.type,p:this.transformPoint(i.x,i.y),x:t.detail.x,y:t.detail.y,box:this.el.bbox(),rotation:this.el.transform().rotation},"text"===this.el.type&&(this.parameters.fontSize=this.el.attr()["font-size"]),void 0!==t.detail.i){var s=this.el.array().valueOf();this.parameters.i=t.detail.i,this.parameters.pointCoords=[s[t.detail.i][0],s[t.detail.i][1]]}switch(t.type){case"lt":this.calc=function(t,e){var i=this.snapToGrid(t,e);if(this.parameters.box.width-i[0]>0&&this.parameters.box.height-i[1]>0){if("text"===this.parameters.type)return this.el.move(this.parameters.box.x+i[0],this.parameters.box.y),void this.el.attr("font-size",this.parameters.fontSize-i[0]);i=this.checkAspectRatio(i),this.el.move(this.parameters.box.x+i[0],this.parameters.box.y+i[1]).size(this.parameters.box.width-i[0],this.parameters.box.height-i[1])}};break;case"rt":this.calc=function(t,e){var i=this.snapToGrid(t,e,2);if(this.parameters.box.width+i[0]>0&&this.parameters.box.height-i[1]>0){if("text"===this.parameters.type)return this.el.move(this.parameters.box.x-i[0],this.parameters.box.y),void this.el.attr("font-size",this.parameters.fontSize+i[0]);i=this.checkAspectRatio(i,!0),this.el.move(this.parameters.box.x,this.parameters.box.y+i[1]).size(this.parameters.box.width+i[0],this.parameters.box.height-i[1])}};break;case"rb":this.calc=function(t,e){var i=this.snapToGrid(t,e,0);if(this.parameters.box.width+i[0]>0&&this.parameters.box.height+i[1]>0){if("text"===this.parameters.type)return this.el.move(this.parameters.box.x-i[0],this.parameters.box.y),void this.el.attr("font-size",this.parameters.fontSize+i[0]);i=this.checkAspectRatio(i),this.el.move(this.parameters.box.x,this.parameters.box.y).size(this.parameters.box.width+i[0],this.parameters.box.height+i[1])}};break;case"lb":this.calc=function(t,e){var i=this.snapToGrid(t,e,1);if(this.parameters.box.width-i[0]>0&&this.parameters.box.height+i[1]>0){if("text"===this.parameters.type)return this.el.move(this.parameters.box.x+i[0],this.parameters.box.y),void this.el.attr("font-size",this.parameters.fontSize-i[0]);i=this.checkAspectRatio(i,!0),this.el.move(this.parameters.box.x+i[0],this.parameters.box.y).size(this.parameters.box.width-i[0],this.parameters.box.height+i[1])}};break;case"t":this.calc=function(t,e){var i=this.snapToGrid(t,e,2);if(this.parameters.box.height-i[1]>0){if("text"===this.parameters.type)return;this.el.move(this.parameters.box.x,this.parameters.box.y+i[1]).height(this.parameters.box.height-i[1])}};break;case"r":this.calc=function(t,e){var i=this.snapToGrid(t,e,0);if(this.parameters.box.width+i[0]>0){if("text"===this.parameters.type)return;this.el.move(this.parameters.box.x,this.parameters.box.y).width(this.parameters.box.width+i[0])}};break;case"b":this.calc=function(t,e){var i=this.snapToGrid(t,e,0);if(this.parameters.box.height+i[1]>0){if("text"===this.parameters.type)return;this.el.move(this.parameters.box.x,this.parameters.box.y).height(this.parameters.box.height+i[1])}};break;case"l":this.calc=function(t,e){var i=this.snapToGrid(t,e,1);if(this.parameters.box.width-i[0]>0){if("text"===this.parameters.type)return;this.el.move(this.parameters.box.x+i[0],this.parameters.box.y).width(this.parameters.box.width-i[0])}};break;case"rot":this.calc=function(t,e){var i={x:t+this.parameters.p.x,y:e+this.parameters.p.y},s=Math.atan2(this.parameters.p.y-this.parameters.box.y-this.parameters.box.height/2,this.parameters.p.x-this.parameters.box.x-this.parameters.box.width/2),r=Math.atan2(i.y-this.parameters.box.y-this.parameters.box.height/2,i.x-this.parameters.box.x-this.parameters.box.width/2),a=this.parameters.rotation+180*(r-s)/Math.PI+this.options.snapToAngle/2;this.el.center(this.parameters.box.cx,this.parameters.box.cy).rotate(a-a%this.options.snapToAngle,this.parameters.box.cx,this.parameters.box.cy)};break;case"point":this.calc=function(t,e){var i=this.snapToGrid(t,e,this.parameters.pointCoords[0],this.parameters.pointCoords[1]),s=this.el.array().valueOf();s[this.parameters.i][0]=this.parameters.pointCoords[0]+i[0],s[this.parameters.i][1]=this.parameters.pointCoords[1]+i[1],this.el.plot(s)}}this.el.fire("resizestart",{dx:this.parameters.x,dy:this.parameters.y,event:t}),SVG.on(window,"touchmove.resize",function(t){e.update(t||window.event)}),SVG.on(window,"touchend.resize",function(){e.done()}),SVG.on(window,"mousemove.resize",function(t){e.update(t||window.event)}),SVG.on(window,"mouseup.resize",function(){e.done()})}},t.prototype.update=function(t){if(!t)return void(this.lastUpdateCall&&this.calc(this.lastUpdateCall[0],this.lastUpdateCall[1]));this.m=this.el.node.getScreenCTM().inverse();var e=this._extractPosition(t),i=this.transformPoint(e.x,e.y),s=i.x-this.parameters.p.x,r=i.y-this.parameters.p.y;this.lastUpdateCall=[s,r],this.calc(s,r),this.el.fire("resizing",{dx:s,dy:r,event:t})},t.prototype.done=function(){this.lastUpdateCall=null,SVG.off(window,"mousemove.resize"),SVG.off(window,"mouseup.resize"),SVG.off(window,"touchmove.resize"),SVG.off(window,"touchend.resize"),this.el.fire("resizedone")},t.prototype.snapToGrid=function(t,e,i,s){var r;return void 0!==s?r=[(i+t)%this.options.snapToGrid,(s+e)%this.options.snapToGrid]:(i=null==i?3:i,r=[(this.parameters.box.x+t+(1&i?0:this.parameters.box.width))%this.options.snapToGrid,(this.parameters.box.y+e+(2&i?0:this.parameters.box.height))%this.options.snapToGrid]),t<0&&(r[0]-=this.options.snapToGrid),e<0&&(r[1]-=this.options.snapToGrid),t-=Math.abs(r[0])o.maxX&&(t=o.maxX-r),void 0!==o.minY&&a+eo.maxY&&(e=o.maxY-a),[t,e]},t.prototype.checkAspectRatio=function(t,e){if(!this.options.saveAspectRatio)return t;var i=t.slice(),s=this.parameters.box.width/this.parameters.box.height,r=this.parameters.box.width+t[0],a=this.parameters.box.height-t[1],o=r/a;return os&&(i[0]=this.parameters.box.width-a*s,e&&(i[0]=-i[0])),i},SVG.extend(SVG.Element,{resize:function(e){return(this.remember("_resizeHandler")||new t(this)).init(e||{}),this}}),SVG.Element.prototype.resize.defaults={snapToAngle:.1,snapToGrid:1,constraint:{},saveAspectRatio:!1}}).call(this)}(); -\ No newline at end of file -diff --git a/cvat/apps/engine/static/engine/js/3rdparty/svg.select.js b/cvat/apps/engine/static/engine/js/3rdparty/svg.select.js -index 47e07bd..cee6d34 100644 ---- a/cvat/apps/engine/static/engine/js/3rdparty/svg.select.js -+++ b/cvat/apps/engine/static/engine/js/3rdparty/svg.select.js -@@ -160,6 +160,7 @@ SelectHandler.prototype.drawPoints = function () { - ev.preventDefault ? ev.preventDefault() : ev.returnValue = false; - ev.stopPropagation(); - -+ if (ev.which != 1) return false; - var x = ev.pageX || ev.touches[0].pageX; - var y = ev.pageY || ev.touches[0].pageY; - _this.el.fire('point', {x: x, y: y, i: k, event: ev}); -@@ -361,6 +362,7 @@ SelectHandler.prototype.cleanup = function () { - // stop watching the element, remove the selection - this.rectSelection.set.each(function () { - this.remove(); -+ SVG.off(this.node); - }); - - this.rectSelection.set.clear(); -@@ -371,6 +373,7 @@ SelectHandler.prototype.cleanup = function () { - // Remove all points, clear the set, stop watching the element - this.pointSelection.set.each(function () { - this.remove(); -+ SVG.off(this.node); - }); - - this.pointSelection.set.clear(); -@@ -379,8 +382,8 @@ SelectHandler.prototype.cleanup = function () { - - if (!this.pointSelection.isSelected && !this.rectSelection.isSelected) { - this.nested.remove(); -+ SVG.off(this.nested.node); - delete this.nested; -- - } - }; - --- -2.19.1 - diff --git a/cvat/apps/engine/static/engine/js/3rdparty/Decoder.worker.js 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- // NaN means non-codepoint - // Support: Firefox<24 - // Workaround erroneous numeric interpretation of +"0x" - return high !== high || escapedWhitespace ? - escaped : - high < 0 ? - // BMP codepoint - String.fromCharCode( high + 0x10000 ) : - // Supplemental Plane codepoint (surrogate pair) - String.fromCharCode( high >> 10 | 0xD800, high & 0x3FF | 0xDC00 ); - }, - - // CSS string/identifier serialization - // https://drafts.csswg.org/cssom/#common-serializing-idioms - rcssescape = /([\0-\x1f\x7f]|^-?\d)|^-$|[^\0-\x1f\x7f-\uFFFF\w-]/g, - fcssescape = function( ch, asCodePoint ) { - if ( asCodePoint ) { - - // U+0000 NULL becomes U+FFFD REPLACEMENT CHARACTER - if ( ch === "\0" ) { - return "\uFFFD"; - } - - // Control characters and (dependent upon position) numbers get escaped as code points - return ch.slice( 0, -1 ) + "\\" + ch.charCodeAt( ch.length - 1 ).toString( 16 ) + " "; - } - - // Other potentially-special ASCII characters get backslash-escaped - return "\\" + ch; - }, - - // Used for iframes - // See setDocument() - // Removing the function wrapper causes a "Permission Denied" - // error in IE - unloadHandler = function() { - setDocument(); - }, - - disabledAncestor = addCombinator( - function( elem ) { - return elem.disabled === true && ("form" in elem || "label" in elem); - }, - { dir: "parentNode", next: "legend" } - ); - -// Optimize for push.apply( _, NodeList ) -try { - push.apply( - (arr = slice.call( preferredDoc.childNodes )), - preferredDoc.childNodes - ); - // Support: Android<4.0 - // Detect silently failing push.apply - arr[ preferredDoc.childNodes.length ].nodeType; -} catch ( e ) { - push = { apply: arr.length ? - - // Leverage slice if possible - function( target, els ) { - push_native.apply( target, slice.call(els) ); - } : - - // Support: IE<9 - // Otherwise append directly - function( target, els ) { - var j = target.length, - i = 0; - // Can't trust NodeList.length - while ( (target[j++] = els[i++]) ) {} - target.length = j - 1; - } - }; -} - -function Sizzle( selector, context, results, seed ) { - var m, i, elem, nid, match, groups, newSelector, - newContext = context && context.ownerDocument, - - // nodeType defaults to 9, since context defaults to document - nodeType = context ? context.nodeType : 9; - - results = results || []; - - // Return early from calls with invalid selector or context - if ( typeof selector !== "string" || !selector || - nodeType !== 1 && nodeType !== 9 && nodeType !== 11 ) { - - return results; - } - - // Try to shortcut find operations (as opposed to filters) in HTML documents - if ( !seed ) { - - if ( ( context ? context.ownerDocument || context : preferredDoc ) !== document ) { - setDocument( context ); - } - context = context || document; - - if ( documentIsHTML ) { - - // If the selector is sufficiently simple, try using a "get*By*" DOM method - // (excepting DocumentFragment context, where the methods don't exist) - if ( nodeType !== 11 && (match = rquickExpr.exec( selector )) ) { - - // ID selector - if ( (m = match[1]) ) { - - // Document context - if ( nodeType === 9 ) { - if ( (elem = context.getElementById( m )) ) { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( elem.id === m ) { - results.push( elem ); - return results; - } - } else { - return results; - } - - // Element context - } else { - - // Support: IE, Opera, Webkit - // TODO: identify versions - // getElementById can match elements by name instead of ID - if ( newContext && (elem = newContext.getElementById( m )) && - contains( context, elem ) && - elem.id === m ) { - - results.push( elem ); - return results; - } - } - - // Type selector - } else if ( match[2] ) { - push.apply( results, context.getElementsByTagName( selector ) ); - return results; - - // Class selector - } else if ( (m = match[3]) && support.getElementsByClassName && - context.getElementsByClassName ) { - - push.apply( results, context.getElementsByClassName( m ) ); - return results; - } - } - - // Take advantage of querySelectorAll - if ( support.qsa && - !compilerCache[ selector + " " ] && - (!rbuggyQSA || !rbuggyQSA.test( selector )) ) { - - if ( nodeType !== 1 ) { - newContext = context; - newSelector = selector; - - // qSA looks outside Element context, which is not what we want - // Thanks to Andrew Dupont for this workaround technique - // Support: IE <=8 - // Exclude object elements - } else if ( context.nodeName.toLowerCase() !== "object" ) { - - // Capture the context ID, setting it first if necessary - if ( (nid = context.getAttribute( "id" )) ) { - nid = nid.replace( rcssescape, fcssescape ); - } else { - context.setAttribute( "id", (nid = expando) ); - } - - // Prefix every selector in the list - groups = tokenize( selector ); - i = groups.length; - while ( i-- ) { - groups[i] = "#" + nid + " " + toSelector( groups[i] ); - } - newSelector = groups.join( "," ); - - // Expand context for sibling selectors - newContext = rsibling.test( selector ) && testContext( context.parentNode ) || - context; - } - - if ( newSelector ) { - try { - push.apply( results, - newContext.querySelectorAll( newSelector ) - ); - return results; - } catch ( qsaError ) { - } finally { - if ( nid === expando ) { - context.removeAttribute( "id" ); - } - } - } - } - } - } - - // All others - return select( selector.replace( rtrim, "$1" ), context, results, seed ); -} - -/** - * Create key-value caches of limited size - * @returns {function(string, object)} Returns the Object data after storing it on itself with - * property name the (space-suffixed) string and (if the cache is larger than Expr.cacheLength) - * deleting the oldest entry - */ -function createCache() { - var keys = []; - - function cache( key, value ) { - // Use (key + " ") to avoid collision with native prototype properties (see Issue #157) - if ( keys.push( key + " " ) > Expr.cacheLength ) { - // Only keep the most recent entries - delete cache[ keys.shift() ]; - } - return (cache[ key + " " ] = value); - } - return cache; -} - -/** - * Mark a function for special use by Sizzle - * @param {Function} fn The function to mark - */ -function markFunction( fn ) { - fn[ expando ] = true; - return fn; -} - -/** - * Support testing using an element - * @param {Function} fn Passed the created element and returns a boolean result - */ -function assert( fn ) { - var el = document.createElement("fieldset"); - - try { - return !!fn( el ); - } catch (e) { - return false; - } finally { - // Remove from its parent by default - if ( el.parentNode ) { - el.parentNode.removeChild( el ); - } - // release memory in IE - el = null; - } -} - -/** - * Adds the same handler for all of the specified attrs - * @param {String} attrs Pipe-separated list of attributes - * @param {Function} handler The method that will be applied - */ -function addHandle( attrs, handler ) { - var arr = attrs.split("|"), - i = arr.length; - - while ( i-- ) { - Expr.attrHandle[ arr[i] ] = handler; - } -} - -/** - * Checks document order of two siblings - * @param {Element} a - * @param {Element} b - * @returns {Number} Returns less than 0 if a precedes b, greater than 0 if a follows b - */ -function siblingCheck( a, b ) { - var cur = b && a, - diff = cur && a.nodeType === 1 && b.nodeType === 1 && - a.sourceIndex - b.sourceIndex; - - // Use IE sourceIndex if available on both nodes - if ( diff ) { - return diff; - } - - // Check if b follows a - if ( cur ) { - while ( (cur = cur.nextSibling) ) { - if ( cur === b ) { - return -1; - } - } - } - - return a ? 1 : -1; -} - -/** - * Returns a function to use in pseudos for input types - * @param {String} type - */ -function createInputPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for buttons - * @param {String} type - */ -function createButtonPseudo( type ) { - return function( elem ) { - var name = elem.nodeName.toLowerCase(); - return (name === "input" || name === "button") && elem.type === type; - }; -} - -/** - * Returns a function to use in pseudos for :enabled/:disabled - * @param {Boolean} disabled true for :disabled; false for :enabled - */ -function createDisabledPseudo( disabled ) { - - // Known :disabled false positives: fieldset[disabled] > legend:nth-of-type(n+2) :can-disable - return function( elem ) { - - // Only certain elements can match :enabled or :disabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-enabled - // https://html.spec.whatwg.org/multipage/scripting.html#selector-disabled - if ( "form" in elem ) { - - // Check for inherited disabledness on relevant non-disabled elements: - // * listed form-associated elements in a disabled fieldset - // https://html.spec.whatwg.org/multipage/forms.html#category-listed - // https://html.spec.whatwg.org/multipage/forms.html#concept-fe-disabled - // * option elements in a disabled optgroup - // https://html.spec.whatwg.org/multipage/forms.html#concept-option-disabled - // All such elements have a "form" property. - if ( elem.parentNode && elem.disabled === false ) { - - // Option elements defer to a parent optgroup if present - if ( "label" in elem ) { - if ( "label" in elem.parentNode ) { - return elem.parentNode.disabled === disabled; - } else { - return elem.disabled === disabled; - } - } - - // Support: IE 6 - 11 - // Use the isDisabled shortcut property to check for disabled fieldset ancestors - return elem.isDisabled === disabled || - - // Where there is no isDisabled, check manually - /* jshint -W018 */ - elem.isDisabled !== !disabled && - disabledAncestor( elem ) === disabled; - } - - return elem.disabled === disabled; - - // Try to winnow out elements that can't be disabled before trusting the disabled property. - // Some victims get caught in our net (label, legend, menu, track), but it shouldn't - // even exist on them, let alone have a boolean value. - } else if ( "label" in elem ) { - return elem.disabled === disabled; - } - - // Remaining elements are neither :enabled nor :disabled - return false; - }; -} - -/** - * Returns a function to use in pseudos for positionals - * @param {Function} fn - */ -function createPositionalPseudo( fn ) { - return markFunction(function( argument ) { - argument = +argument; - return markFunction(function( seed, matches ) { - var j, - matchIndexes = fn( [], seed.length, argument ), - i = matchIndexes.length; - - // Match elements found at the specified indexes - while ( i-- ) { - if ( seed[ (j = matchIndexes[i]) ] ) { - seed[j] = !(matches[j] = seed[j]); - } - } - }); - }); -} - -/** - * Checks a node for validity as a Sizzle context - * @param {Element|Object=} context - * @returns {Element|Object|Boolean} The input node if acceptable, otherwise a falsy value - */ -function testContext( context ) { - return context && typeof context.getElementsByTagName !== "undefined" && context; -} - -// Expose support vars for convenience -support = Sizzle.support = {}; - -/** - * Detects XML nodes - * @param {Element|Object} elem An element or a document - * @returns {Boolean} True iff elem is a non-HTML XML node - */ -isXML = Sizzle.isXML = function( elem ) { - // documentElement is verified for cases where it doesn't yet exist - // (such as loading iframes in IE - #4833) - var documentElement = elem && (elem.ownerDocument || elem).documentElement; - return documentElement ? documentElement.nodeName !== "HTML" : false; -}; - -/** - * Sets document-related variables once based on the current document - * @param {Element|Object} [doc] An element or document object to use to set the document - * @returns {Object} Returns the current document - */ -setDocument = Sizzle.setDocument = function( node ) { - var hasCompare, subWindow, - doc = node ? node.ownerDocument || node : preferredDoc; - - // Return early if doc is invalid or already selected - if ( doc === document || doc.nodeType !== 9 || !doc.documentElement ) { - return document; - } - - // Update global variables - document = doc; - docElem = document.documentElement; - documentIsHTML = !isXML( document ); - - // Support: IE 9-11, Edge - // Accessing iframe documents after unload throws "permission denied" errors (jQuery #13936) - if ( preferredDoc !== document && - (subWindow = document.defaultView) && subWindow.top !== subWindow ) { - - // Support: IE 11, Edge - if ( subWindow.addEventListener ) { - subWindow.addEventListener( "unload", unloadHandler, false ); - - // Support: IE 9 - 10 only - } else if ( subWindow.attachEvent ) { - subWindow.attachEvent( "onunload", unloadHandler ); - } - } - - /* Attributes - ---------------------------------------------------------------------- */ - - // Support: IE<8 - // Verify that getAttribute really returns attributes and not properties - // (excepting IE8 booleans) - support.attributes = assert(function( el ) { - el.className = "i"; - return !el.getAttribute("className"); - }); - - /* getElement(s)By* - ---------------------------------------------------------------------- */ - - // Check if getElementsByTagName("*") returns only elements - support.getElementsByTagName = assert(function( el ) { - el.appendChild( document.createComment("") ); - return !el.getElementsByTagName("*").length; - }); - - // Support: IE<9 - support.getElementsByClassName = rnative.test( document.getElementsByClassName ); - - // Support: IE<10 - // Check if getElementById returns elements by name - // The broken getElementById methods don't pick up programmatically-set names, - // so use a roundabout getElementsByName test - support.getById = assert(function( el ) { - docElem.appendChild( el ).id = expando; - return !document.getElementsByName || !document.getElementsByName( expando ).length; - }); - - // ID filter and find - if ( support.getById ) { - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - return elem.getAttribute("id") === attrId; - }; - }; - Expr.find["ID"] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var elem = context.getElementById( id ); - return elem ? [ elem ] : []; - } - }; - } else { - Expr.filter["ID"] = function( id ) { - var attrId = id.replace( runescape, funescape ); - return function( elem ) { - var node = typeof elem.getAttributeNode !== "undefined" && - elem.getAttributeNode("id"); - return node && node.value === attrId; - }; - }; - - // Support: IE 6 - 7 only - // getElementById is not reliable as a find shortcut - Expr.find["ID"] = function( id, context ) { - if ( typeof context.getElementById !== "undefined" && documentIsHTML ) { - var node, i, elems, - elem = context.getElementById( id ); - - if ( elem ) { - - // Verify the id attribute - node = elem.getAttributeNode("id"); - if ( node && node.value === id ) { - return [ elem ]; - } - - // Fall back on getElementsByName - elems = context.getElementsByName( id ); - i = 0; - while ( (elem = elems[i++]) ) { - node = elem.getAttributeNode("id"); - if ( node && node.value === id ) { - return [ elem ]; - } - } - } - - return []; - } - }; - } - - // Tag - Expr.find["TAG"] = support.getElementsByTagName ? - function( tag, context ) { - if ( typeof context.getElementsByTagName !== "undefined" ) { - return context.getElementsByTagName( tag ); - - // DocumentFragment nodes don't have gEBTN - } else if ( support.qsa ) { - return context.querySelectorAll( tag ); - } - } : - - function( tag, context ) { - var elem, - tmp = [], - i = 0, - // By happy coincidence, a (broken) gEBTN appears on DocumentFragment nodes too - results = context.getElementsByTagName( tag ); - - // Filter out possible comments - if ( tag === "*" ) { - while ( (elem = results[i++]) ) { - if ( elem.nodeType === 1 ) { - tmp.push( elem ); - } - } - - return tmp; - } - return results; - }; - - // Class - Expr.find["CLASS"] = support.getElementsByClassName && function( className, context ) { - if ( typeof context.getElementsByClassName !== "undefined" && documentIsHTML ) { - return context.getElementsByClassName( className ); - } - }; - - /* QSA/matchesSelector - ---------------------------------------------------------------------- */ - - // QSA and matchesSelector support - - // matchesSelector(:active) reports false when true (IE9/Opera 11.5) - rbuggyMatches = []; - - // qSa(:focus) reports false when true (Chrome 21) - // We allow this because of a bug in IE8/9 that throws an error - // whenever `document.activeElement` is accessed on an iframe - // So, we allow :focus to pass through QSA all the time to avoid the IE error - // See https://bugs.jquery.com/ticket/13378 - rbuggyQSA = []; - - if ( (support.qsa = rnative.test( document.querySelectorAll )) ) { - // Build QSA regex - // Regex strategy adopted from Diego Perini - assert(function( el ) { - // Select is set to empty string on purpose - // This is to test IE's treatment of not explicitly - // setting a boolean content attribute, - // since its presence should be enough - // https://bugs.jquery.com/ticket/12359 - docElem.appendChild( el ).innerHTML = "" + - ""; - - // Support: IE8, Opera 11-12.16 - // Nothing should be selected when empty strings follow ^= or $= or *= - // The test attribute must be unknown in Opera but "safe" for WinRT - // https://msdn.microsoft.com/en-us/library/ie/hh465388.aspx#attribute_section - if ( el.querySelectorAll("[msallowcapture^='']").length ) { - rbuggyQSA.push( "[*^$]=" + whitespace + "*(?:''|\"\")" ); - } - - // Support: IE8 - // Boolean attributes and "value" are not treated correctly - if ( !el.querySelectorAll("[selected]").length ) { - rbuggyQSA.push( "\\[" + whitespace + "*(?:value|" + booleans + ")" ); - } - - // Support: Chrome<29, Android<4.4, Safari<7.0+, iOS<7.0+, PhantomJS<1.9.8+ - if ( !el.querySelectorAll( "[id~=" + expando + "-]" ).length ) { - rbuggyQSA.push("~="); - } - - // Webkit/Opera - :checked should return selected option elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - // IE8 throws error here and will not see later tests - if ( !el.querySelectorAll(":checked").length ) { - rbuggyQSA.push(":checked"); - } - - // Support: Safari 8+, iOS 8+ - // https://bugs.webkit.org/show_bug.cgi?id=136851 - // In-page `selector#id sibling-combinator selector` fails - if ( !el.querySelectorAll( "a#" + expando + "+*" ).length ) { - rbuggyQSA.push(".#.+[+~]"); - } - }); - - assert(function( el ) { - el.innerHTML = "" + - ""; - - // Support: Windows 8 Native Apps - // The type and name attributes are restricted during .innerHTML assignment - var input = document.createElement("input"); - input.setAttribute( "type", "hidden" ); - el.appendChild( input ).setAttribute( "name", "D" ); - - // Support: IE8 - // Enforce case-sensitivity of name attribute - if ( el.querySelectorAll("[name=d]").length ) { - rbuggyQSA.push( "name" + whitespace + "*[*^$|!~]?=" ); - } - - // FF 3.5 - :enabled/:disabled and hidden elements (hidden elements are still enabled) - // IE8 throws error here and will not see later tests - if ( el.querySelectorAll(":enabled").length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Support: IE9-11+ - // IE's :disabled selector does not pick up the children of disabled fieldsets - docElem.appendChild( el ).disabled = true; - if ( el.querySelectorAll(":disabled").length !== 2 ) { - rbuggyQSA.push( ":enabled", ":disabled" ); - } - - // Opera 10-11 does not throw on post-comma invalid pseudos - el.querySelectorAll("*,:x"); - rbuggyQSA.push(",.*:"); - }); - } - - if ( (support.matchesSelector = rnative.test( (matches = docElem.matches || - docElem.webkitMatchesSelector || - docElem.mozMatchesSelector || - docElem.oMatchesSelector || - docElem.msMatchesSelector) )) ) { - - assert(function( el ) { - // Check to see if it's possible to do matchesSelector - // on a disconnected node (IE 9) - support.disconnectedMatch = matches.call( el, "*" ); - - // This should fail with an exception - // Gecko does not error, returns false instead - matches.call( el, "[s!='']:x" ); - rbuggyMatches.push( "!=", pseudos ); - }); - } - - rbuggyQSA = rbuggyQSA.length && new RegExp( rbuggyQSA.join("|") ); - rbuggyMatches = rbuggyMatches.length && new RegExp( rbuggyMatches.join("|") ); - - /* Contains - ---------------------------------------------------------------------- */ - hasCompare = rnative.test( docElem.compareDocumentPosition ); - - // Element contains another - // Purposefully self-exclusive - // As in, an element does not contain itself - contains = hasCompare || rnative.test( docElem.contains ) ? - function( a, b ) { - var adown = a.nodeType === 9 ? a.documentElement : a, - bup = b && b.parentNode; - return a === bup || !!( bup && bup.nodeType === 1 && ( - adown.contains ? - adown.contains( bup ) : - a.compareDocumentPosition && a.compareDocumentPosition( bup ) & 16 - )); - } : - function( a, b ) { - if ( b ) { - while ( (b = b.parentNode) ) { - if ( b === a ) { - return true; - } - } - } - return false; - }; - - /* Sorting - ---------------------------------------------------------------------- */ - - // Document order sorting - sortOrder = hasCompare ? - function( a, b ) { - - // Flag for duplicate removal - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - // Sort on method existence if only one input has compareDocumentPosition - var compare = !a.compareDocumentPosition - !b.compareDocumentPosition; - if ( compare ) { - return compare; - } - - // Calculate position if both inputs belong to the same document - compare = ( a.ownerDocument || a ) === ( b.ownerDocument || b ) ? - a.compareDocumentPosition( b ) : - - // Otherwise we know they are disconnected - 1; - - // Disconnected nodes - if ( compare & 1 || - (!support.sortDetached && b.compareDocumentPosition( a ) === compare) ) { - - // Choose the first element that is related to our preferred document - if ( a === document || a.ownerDocument === preferredDoc && contains(preferredDoc, a) ) { - return -1; - } - if ( b === document || b.ownerDocument === preferredDoc && contains(preferredDoc, b) ) { - return 1; - } - - // Maintain original order - return sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - } - - return compare & 4 ? -1 : 1; - } : - function( a, b ) { - // Exit early if the nodes are identical - if ( a === b ) { - hasDuplicate = true; - return 0; - } - - var cur, - i = 0, - aup = a.parentNode, - bup = b.parentNode, - ap = [ a ], - bp = [ b ]; - - // Parentless nodes are either documents or disconnected - if ( !aup || !bup ) { - return a === document ? -1 : - b === document ? 1 : - aup ? -1 : - bup ? 1 : - sortInput ? - ( indexOf( sortInput, a ) - indexOf( sortInput, b ) ) : - 0; - - // If the nodes are siblings, we can do a quick check - } else if ( aup === bup ) { - return siblingCheck( a, b ); - } - - // Otherwise we need full lists of their ancestors for comparison - cur = a; - while ( (cur = cur.parentNode) ) { - ap.unshift( cur ); - } - cur = b; - while ( (cur = cur.parentNode) ) { - bp.unshift( cur ); - } - - // Walk down the tree looking for a discrepancy - while ( ap[i] === bp[i] ) { - i++; - } - - return i ? - // Do a sibling check if the nodes have a common ancestor - siblingCheck( ap[i], bp[i] ) : - - // Otherwise nodes in our document sort first - ap[i] === preferredDoc ? -1 : - bp[i] === preferredDoc ? 1 : - 0; - }; - - return document; -}; - -Sizzle.matches = function( expr, elements ) { - return Sizzle( expr, null, null, elements ); -}; - -Sizzle.matchesSelector = function( elem, expr ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - // Make sure that attribute selectors are quoted - expr = expr.replace( rattributeQuotes, "='$1']" ); - - if ( support.matchesSelector && documentIsHTML && - !compilerCache[ expr + " " ] && - ( !rbuggyMatches || !rbuggyMatches.test( expr ) ) && - ( !rbuggyQSA || !rbuggyQSA.test( expr ) ) ) { - - try { - var ret = matches.call( elem, expr ); - - // IE 9's matchesSelector returns false on disconnected nodes - if ( ret || support.disconnectedMatch || - // As well, disconnected nodes are said to be in a document - // fragment in IE 9 - elem.document && elem.document.nodeType !== 11 ) { - return ret; - } - } catch (e) {} - } - - return Sizzle( expr, document, null, [ elem ] ).length > 0; -}; - -Sizzle.contains = function( context, elem ) { - // Set document vars if needed - if ( ( context.ownerDocument || context ) !== document ) { - setDocument( context ); - } - return contains( context, elem ); -}; - -Sizzle.attr = function( elem, name ) { - // Set document vars if needed - if ( ( elem.ownerDocument || elem ) !== document ) { - setDocument( elem ); - } - - var fn = Expr.attrHandle[ name.toLowerCase() ], - // Don't get fooled by Object.prototype properties (jQuery #13807) - val = fn && hasOwn.call( Expr.attrHandle, name.toLowerCase() ) ? - fn( elem, name, !documentIsHTML ) : - undefined; - - return val !== undefined ? - val : - support.attributes || !documentIsHTML ? - elem.getAttribute( name ) : - (val = elem.getAttributeNode(name)) && val.specified ? - val.value : - null; -}; - -Sizzle.escape = function( sel ) { - return (sel + "").replace( rcssescape, fcssescape ); -}; - -Sizzle.error = function( msg ) { - throw new Error( "Syntax error, unrecognized expression: " + msg ); -}; - -/** - * Document sorting and removing duplicates - * @param {ArrayLike} results - */ -Sizzle.uniqueSort = function( results ) { - var elem, - duplicates = [], - j = 0, - i = 0; - - // Unless we *know* we can detect duplicates, assume their presence - hasDuplicate = !support.detectDuplicates; - sortInput = !support.sortStable && results.slice( 0 ); - results.sort( sortOrder ); - - if ( hasDuplicate ) { - while ( (elem = results[i++]) ) { - if ( elem === results[ i ] ) { - j = duplicates.push( i ); - } - } - while ( j-- ) { - results.splice( duplicates[ j ], 1 ); - } - } - - // Clear input after sorting to release objects - // See https://github.com/jquery/sizzle/pull/225 - sortInput = null; - - return results; -}; - -/** - * Utility function for retrieving the text value of an array of DOM nodes - * @param {Array|Element} elem - */ -getText = Sizzle.getText = function( elem ) { - var node, - ret = "", - i = 0, - nodeType = elem.nodeType; - - if ( !nodeType ) { - // If no nodeType, this is expected to be an array - while ( (node = elem[i++]) ) { - // Do not traverse comment nodes - ret += getText( node ); - } - } else if ( nodeType === 1 || nodeType === 9 || nodeType === 11 ) { - // Use textContent for elements - // innerText usage removed for consistency of new lines (jQuery #11153) - if ( typeof elem.textContent === "string" ) { - return elem.textContent; - } else { - // Traverse its children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - ret += getText( elem ); - } - } - } else if ( nodeType === 3 || nodeType === 4 ) { - return elem.nodeValue; - } - // Do not include comment or processing instruction nodes - - return ret; -}; - -Expr = Sizzle.selectors = { - - // Can be adjusted by the user - cacheLength: 50, - - createPseudo: markFunction, - - match: matchExpr, - - attrHandle: {}, - - find: {}, - - relative: { - ">": { dir: "parentNode", first: true }, - " ": { dir: "parentNode" }, - "+": { dir: "previousSibling", first: true }, - "~": { dir: "previousSibling" } - }, - - preFilter: { - "ATTR": function( match ) { - match[1] = match[1].replace( runescape, funescape ); - - // Move the given value to match[3] whether quoted or unquoted - match[3] = ( match[3] || match[4] || match[5] || "" ).replace( runescape, funescape ); - - if ( match[2] === "~=" ) { - match[3] = " " + match[3] + " "; - } - - return match.slice( 0, 4 ); - }, - - "CHILD": function( match ) { - /* matches from matchExpr["CHILD"] - 1 type (only|nth|...) - 2 what (child|of-type) - 3 argument (even|odd|\d*|\d*n([+-]\d+)?|...) - 4 xn-component of xn+y argument ([+-]?\d*n|) - 5 sign of xn-component - 6 x of xn-component - 7 sign of y-component - 8 y of y-component - */ - match[1] = match[1].toLowerCase(); - - if ( match[1].slice( 0, 3 ) === "nth" ) { - // nth-* requires argument - if ( !match[3] ) { - Sizzle.error( match[0] ); - } - - // numeric x and y parameters for Expr.filter.CHILD - // remember that false/true cast respectively to 0/1 - match[4] = +( match[4] ? match[5] + (match[6] || 1) : 2 * ( match[3] === "even" || match[3] === "odd" ) ); - match[5] = +( ( match[7] + match[8] ) || match[3] === "odd" ); - - // other types prohibit arguments - } else if ( match[3] ) { - Sizzle.error( match[0] ); - } - - return match; - }, - - "PSEUDO": function( match ) { - var excess, - unquoted = !match[6] && match[2]; - - if ( matchExpr["CHILD"].test( match[0] ) ) { - return null; - } - - // Accept quoted arguments as-is - if ( match[3] ) { - match[2] = match[4] || match[5] || ""; - - // Strip excess characters from unquoted arguments - } else if ( unquoted && rpseudo.test( unquoted ) && - // Get excess from tokenize (recursively) - (excess = tokenize( unquoted, true )) && - // advance to the next closing parenthesis - (excess = unquoted.indexOf( ")", unquoted.length - excess ) - unquoted.length) ) { - - // excess is a negative index - match[0] = match[0].slice( 0, excess ); - match[2] = unquoted.slice( 0, excess ); - } - - // Return only captures needed by the pseudo filter method (type and argument) - return match.slice( 0, 3 ); - } - }, - - filter: { - - "TAG": function( nodeNameSelector ) { - var nodeName = nodeNameSelector.replace( runescape, funescape ).toLowerCase(); - return nodeNameSelector === "*" ? - function() { return true; } : - function( elem ) { - return elem.nodeName && elem.nodeName.toLowerCase() === nodeName; - }; - }, - - "CLASS": function( className ) { - var pattern = classCache[ className + " " ]; - - return pattern || - (pattern = new RegExp( "(^|" + whitespace + ")" + className + "(" + whitespace + "|$)" )) && - classCache( className, function( elem ) { - return pattern.test( typeof elem.className === "string" && elem.className || typeof elem.getAttribute !== "undefined" && elem.getAttribute("class") || "" ); - }); - }, - - "ATTR": function( name, operator, check ) { - return function( elem ) { - var result = Sizzle.attr( elem, name ); - - if ( result == null ) { - return operator === "!="; - } - if ( !operator ) { - return true; - } - - result += ""; - - return operator === "=" ? result === check : - operator === "!=" ? result !== check : - operator === "^=" ? check && result.indexOf( check ) === 0 : - operator === "*=" ? check && result.indexOf( check ) > -1 : - operator === "$=" ? check && result.slice( -check.length ) === check : - operator === "~=" ? ( " " + result.replace( rwhitespace, " " ) + " " ).indexOf( check ) > -1 : - operator === "|=" ? result === check || result.slice( 0, check.length + 1 ) === check + "-" : - false; - }; - }, - - "CHILD": function( type, what, argument, first, last ) { - var simple = type.slice( 0, 3 ) !== "nth", - forward = type.slice( -4 ) !== "last", - ofType = what === "of-type"; - - return first === 1 && last === 0 ? - - // Shortcut for :nth-*(n) - function( elem ) { - return !!elem.parentNode; - } : - - function( elem, context, xml ) { - var cache, uniqueCache, outerCache, node, nodeIndex, start, - dir = simple !== forward ? "nextSibling" : "previousSibling", - parent = elem.parentNode, - name = ofType && elem.nodeName.toLowerCase(), - useCache = !xml && !ofType, - diff = false; - - if ( parent ) { - - // :(first|last|only)-(child|of-type) - if ( simple ) { - while ( dir ) { - node = elem; - while ( (node = node[ dir ]) ) { - if ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) { - - return false; - } - } - // Reverse direction for :only-* (if we haven't yet done so) - start = dir = type === "only" && !start && "nextSibling"; - } - return true; - } - - start = [ forward ? parent.firstChild : parent.lastChild ]; - - // non-xml :nth-child(...) stores cache data on `parent` - if ( forward && useCache ) { - - // Seek `elem` from a previously-cached index - - // ...in a gzip-friendly way - node = parent; - outerCache = node[ expando ] || (node[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - (outerCache[ node.uniqueID ] = {}); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex && cache[ 2 ]; - node = nodeIndex && parent.childNodes[ nodeIndex ]; - - while ( (node = ++nodeIndex && node && node[ dir ] || - - // Fallback to seeking `elem` from the start - (diff = nodeIndex = 0) || start.pop()) ) { - - // When found, cache indexes on `parent` and break - if ( node.nodeType === 1 && ++diff && node === elem ) { - uniqueCache[ type ] = [ dirruns, nodeIndex, diff ]; - break; - } - } - - } else { - // Use previously-cached element index if available - if ( useCache ) { - // ...in a gzip-friendly way - node = elem; - outerCache = node[ expando ] || (node[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - (outerCache[ node.uniqueID ] = {}); - - cache = uniqueCache[ type ] || []; - nodeIndex = cache[ 0 ] === dirruns && cache[ 1 ]; - diff = nodeIndex; - } - - // xml :nth-child(...) - // or :nth-last-child(...) or :nth(-last)?-of-type(...) - if ( diff === false ) { - // Use the same loop as above to seek `elem` from the start - while ( (node = ++nodeIndex && node && node[ dir ] || - (diff = nodeIndex = 0) || start.pop()) ) { - - if ( ( ofType ? - node.nodeName.toLowerCase() === name : - node.nodeType === 1 ) && - ++diff ) { - - // Cache the index of each encountered element - if ( useCache ) { - outerCache = node[ expando ] || (node[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ node.uniqueID ] || - (outerCache[ node.uniqueID ] = {}); - - uniqueCache[ type ] = [ dirruns, diff ]; - } - - if ( node === elem ) { - break; - } - } - } - } - } - - // Incorporate the offset, then check against cycle size - diff -= last; - return diff === first || ( diff % first === 0 && diff / first >= 0 ); - } - }; - }, - - "PSEUDO": function( pseudo, argument ) { - // pseudo-class names are case-insensitive - // http://www.w3.org/TR/selectors/#pseudo-classes - // Prioritize by case sensitivity in case custom pseudos are added with uppercase letters - // Remember that setFilters inherits from pseudos - var args, - fn = Expr.pseudos[ pseudo ] || Expr.setFilters[ pseudo.toLowerCase() ] || - Sizzle.error( "unsupported pseudo: " + pseudo ); - - // The user may use createPseudo to indicate that - // arguments are needed to create the filter function - // just as Sizzle does - if ( fn[ expando ] ) { - return fn( argument ); - } - - // But maintain support for old signatures - if ( fn.length > 1 ) { - args = [ pseudo, pseudo, "", argument ]; - return Expr.setFilters.hasOwnProperty( pseudo.toLowerCase() ) ? - markFunction(function( seed, matches ) { - var idx, - matched = fn( seed, argument ), - i = matched.length; - while ( i-- ) { - idx = indexOf( seed, matched[i] ); - seed[ idx ] = !( matches[ idx ] = matched[i] ); - } - }) : - function( elem ) { - return fn( elem, 0, args ); - }; - } - - return fn; - } - }, - - pseudos: { - // Potentially complex pseudos - "not": markFunction(function( selector ) { - // Trim the selector passed to compile - // to avoid treating leading and trailing - // spaces as combinators - var input = [], - results = [], - matcher = compile( selector.replace( rtrim, "$1" ) ); - - return matcher[ expando ] ? - markFunction(function( seed, matches, context, xml ) { - var elem, - unmatched = matcher( seed, null, xml, [] ), - i = seed.length; - - // Match elements unmatched by `matcher` - while ( i-- ) { - if ( (elem = unmatched[i]) ) { - seed[i] = !(matches[i] = elem); - } - } - }) : - function( elem, context, xml ) { - input[0] = elem; - matcher( input, null, xml, results ); - // Don't keep the element (issue #299) - input[0] = null; - return !results.pop(); - }; - }), - - "has": markFunction(function( selector ) { - return function( elem ) { - return Sizzle( selector, elem ).length > 0; - }; - }), - - "contains": markFunction(function( text ) { - text = text.replace( runescape, funescape ); - return function( elem ) { - return ( elem.textContent || elem.innerText || getText( elem ) ).indexOf( text ) > -1; - }; - }), - - // "Whether an element is represented by a :lang() selector - // is based solely on the element's language value - // being equal to the identifier C, - // or beginning with the identifier C immediately followed by "-". - // The matching of C against the element's language value is performed case-insensitively. - // The identifier C does not have to be a valid language name." - // http://www.w3.org/TR/selectors/#lang-pseudo - "lang": markFunction( function( lang ) { - // lang value must be a valid identifier - if ( !ridentifier.test(lang || "") ) { - Sizzle.error( "unsupported lang: " + lang ); - } - lang = lang.replace( runescape, funescape ).toLowerCase(); - return function( elem ) { - var elemLang; - do { - if ( (elemLang = documentIsHTML ? - elem.lang : - elem.getAttribute("xml:lang") || elem.getAttribute("lang")) ) { - - elemLang = elemLang.toLowerCase(); - return elemLang === lang || elemLang.indexOf( lang + "-" ) === 0; - } - } while ( (elem = elem.parentNode) && elem.nodeType === 1 ); - return false; - }; - }), - - // Miscellaneous - "target": function( elem ) { - var hash = window.location && window.location.hash; - return hash && hash.slice( 1 ) === elem.id; - }, - - "root": function( elem ) { - return elem === docElem; - }, - - "focus": function( elem ) { - return elem === document.activeElement && (!document.hasFocus || document.hasFocus()) && !!(elem.type || elem.href || ~elem.tabIndex); - }, - - // Boolean properties - "enabled": createDisabledPseudo( false ), - "disabled": createDisabledPseudo( true ), - - "checked": function( elem ) { - // In CSS3, :checked should return both checked and selected elements - // http://www.w3.org/TR/2011/REC-css3-selectors-20110929/#checked - var nodeName = elem.nodeName.toLowerCase(); - return (nodeName === "input" && !!elem.checked) || (nodeName === "option" && !!elem.selected); - }, - - "selected": function( elem ) { - // Accessing this property makes selected-by-default - // options in Safari work properly - if ( elem.parentNode ) { - elem.parentNode.selectedIndex; - } - - return elem.selected === true; - }, - - // Contents - "empty": function( elem ) { - // http://www.w3.org/TR/selectors/#empty-pseudo - // :empty is negated by element (1) or content nodes (text: 3; cdata: 4; entity ref: 5), - // but not by others (comment: 8; processing instruction: 7; etc.) - // nodeType < 6 works because attributes (2) do not appear as children - for ( elem = elem.firstChild; elem; elem = elem.nextSibling ) { - if ( elem.nodeType < 6 ) { - return false; - } - } - return true; - }, - - "parent": function( elem ) { - return !Expr.pseudos["empty"]( elem ); - }, - - // Element/input types - "header": function( elem ) { - return rheader.test( elem.nodeName ); - }, - - "input": function( elem ) { - return rinputs.test( elem.nodeName ); - }, - - "button": function( elem ) { - var name = elem.nodeName.toLowerCase(); - return name === "input" && elem.type === "button" || name === "button"; - }, - - "text": function( elem ) { - var attr; - return elem.nodeName.toLowerCase() === "input" && - elem.type === "text" && - - // Support: IE<8 - // New HTML5 attribute values (e.g., "search") appear with elem.type === "text" - ( (attr = elem.getAttribute("type")) == null || attr.toLowerCase() === "text" ); - }, - - // Position-in-collection - "first": createPositionalPseudo(function() { - return [ 0 ]; - }), - - "last": createPositionalPseudo(function( matchIndexes, length ) { - return [ length - 1 ]; - }), - - "eq": createPositionalPseudo(function( matchIndexes, length, argument ) { - return [ argument < 0 ? argument + length : argument ]; - }), - - "even": createPositionalPseudo(function( matchIndexes, length ) { - var i = 0; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "odd": createPositionalPseudo(function( matchIndexes, length ) { - var i = 1; - for ( ; i < length; i += 2 ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "lt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; --i >= 0; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }), - - "gt": createPositionalPseudo(function( matchIndexes, length, argument ) { - var i = argument < 0 ? argument + length : argument; - for ( ; ++i < length; ) { - matchIndexes.push( i ); - } - return matchIndexes; - }) - } -}; - -Expr.pseudos["nth"] = Expr.pseudos["eq"]; - -// Add button/input type pseudos -for ( i in { radio: true, checkbox: true, file: true, password: true, image: true } ) { - Expr.pseudos[ i ] = createInputPseudo( i ); -} -for ( i in { submit: true, reset: true } ) { - Expr.pseudos[ i ] = createButtonPseudo( i ); -} - -// Easy API for creating new setFilters -function setFilters() {} -setFilters.prototype = Expr.filters = Expr.pseudos; -Expr.setFilters = new setFilters(); - -tokenize = Sizzle.tokenize = function( selector, parseOnly ) { - var matched, match, tokens, type, - soFar, groups, preFilters, - cached = tokenCache[ selector + " " ]; - - if ( cached ) { - return parseOnly ? 0 : cached.slice( 0 ); - } - - soFar = selector; - groups = []; - preFilters = Expr.preFilter; - - while ( soFar ) { - - // Comma and first run - if ( !matched || (match = rcomma.exec( soFar )) ) { - if ( match ) { - // Don't consume trailing commas as valid - soFar = soFar.slice( match[0].length ) || soFar; - } - groups.push( (tokens = []) ); - } - - matched = false; - - // Combinators - if ( (match = rcombinators.exec( soFar )) ) { - matched = match.shift(); - tokens.push({ - value: matched, - // Cast descendant combinators to space - type: match[0].replace( rtrim, " " ) - }); - soFar = soFar.slice( matched.length ); - } - - // Filters - for ( type in Expr.filter ) { - if ( (match = matchExpr[ type ].exec( soFar )) && (!preFilters[ type ] || - (match = preFilters[ type ]( match ))) ) { - matched = match.shift(); - tokens.push({ - value: matched, - type: type, - matches: match - }); - soFar = soFar.slice( matched.length ); - } - } - - if ( !matched ) { - break; - } - } - - // Return the length of the invalid excess - // if we're just parsing - // Otherwise, throw an error or return tokens - return parseOnly ? - soFar.length : - soFar ? - Sizzle.error( selector ) : - // Cache the tokens - tokenCache( selector, groups ).slice( 0 ); -}; - -function toSelector( tokens ) { - var i = 0, - len = tokens.length, - selector = ""; - for ( ; i < len; i++ ) { - selector += tokens[i].value; - } - return selector; -} - -function addCombinator( matcher, combinator, base ) { - var dir = combinator.dir, - skip = combinator.next, - key = skip || dir, - checkNonElements = base && key === "parentNode", - doneName = done++; - - return combinator.first ? - // Check against closest ancestor/preceding element - function( elem, context, xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - return matcher( elem, context, xml ); - } - } - return false; - } : - - // Check against all ancestor/preceding elements - function( elem, context, xml ) { - var oldCache, uniqueCache, outerCache, - newCache = [ dirruns, doneName ]; - - // We can't set arbitrary data on XML nodes, so they don't benefit from combinator caching - if ( xml ) { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - if ( matcher( elem, context, xml ) ) { - return true; - } - } - } - } else { - while ( (elem = elem[ dir ]) ) { - if ( elem.nodeType === 1 || checkNonElements ) { - outerCache = elem[ expando ] || (elem[ expando ] = {}); - - // Support: IE <9 only - // Defend against cloned attroperties (jQuery gh-1709) - uniqueCache = outerCache[ elem.uniqueID ] || (outerCache[ elem.uniqueID ] = {}); - - if ( skip && skip === elem.nodeName.toLowerCase() ) { - elem = elem[ dir ] || elem; - } else if ( (oldCache = uniqueCache[ key ]) && - oldCache[ 0 ] === dirruns && oldCache[ 1 ] === doneName ) { - - // Assign to newCache so results back-propagate to previous elements - return (newCache[ 2 ] = oldCache[ 2 ]); - } else { - // Reuse newcache so results back-propagate to previous elements - uniqueCache[ key ] = newCache; - - // A match means we're done; a fail means we have to keep checking - if ( (newCache[ 2 ] = matcher( elem, context, xml )) ) { - return true; - } - } - } - } - } - return false; - }; -} - -function elementMatcher( matchers ) { - return matchers.length > 1 ? - function( elem, context, xml ) { - var i = matchers.length; - while ( i-- ) { - if ( !matchers[i]( elem, context, xml ) ) { - return false; - } - } - return true; - } : - matchers[0]; -} - -function multipleContexts( selector, contexts, results ) { - var i = 0, - len = contexts.length; - for ( ; i < len; i++ ) { - Sizzle( selector, contexts[i], results ); - } - return results; -} - -function condense( unmatched, map, filter, context, xml ) { - var elem, - newUnmatched = [], - i = 0, - len = unmatched.length, - mapped = map != null; - - for ( ; i < len; i++ ) { - if ( (elem = unmatched[i]) ) { - if ( !filter || filter( elem, context, xml ) ) { - newUnmatched.push( elem ); - if ( mapped ) { - map.push( i ); - } - } - } - } - - return newUnmatched; -} - -function setMatcher( preFilter, selector, matcher, postFilter, postFinder, postSelector ) { - if ( postFilter && !postFilter[ expando ] ) { - postFilter = setMatcher( postFilter ); - } - if ( postFinder && !postFinder[ expando ] ) { - postFinder = setMatcher( postFinder, postSelector ); - } - return markFunction(function( seed, results, context, xml ) { - var temp, i, elem, - preMap = [], - postMap = [], - preexisting = results.length, - - // Get initial elements from seed or context - elems = seed || multipleContexts( selector || "*", context.nodeType ? [ context ] : context, [] ), - - // Prefilter to get matcher input, preserving a map for seed-results synchronization - matcherIn = preFilter && ( seed || !selector ) ? - condense( elems, preMap, preFilter, context, xml ) : - elems, - - matcherOut = matcher ? - // If we have a postFinder, or filtered seed, or non-seed postFilter or preexisting results, - postFinder || ( seed ? preFilter : preexisting || postFilter ) ? - - // ...intermediate processing is necessary - [] : - - // ...otherwise use results directly - results : - matcherIn; - - // Find primary matches - if ( matcher ) { - matcher( matcherIn, matcherOut, context, xml ); - } - - // Apply postFilter - if ( postFilter ) { - temp = condense( matcherOut, postMap ); - postFilter( temp, [], context, xml ); - - // Un-match failing elements by moving them back to matcherIn - i = temp.length; - while ( i-- ) { - if ( (elem = temp[i]) ) { - matcherOut[ postMap[i] ] = !(matcherIn[ postMap[i] ] = elem); - } - } - } - - if ( seed ) { - if ( postFinder || preFilter ) { - if ( postFinder ) { - // Get the final matcherOut by condensing this intermediate into postFinder contexts - temp = []; - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) ) { - // Restore matcherIn since elem is not yet a final match - temp.push( (matcherIn[i] = elem) ); - } - } - postFinder( null, (matcherOut = []), temp, xml ); - } - - // Move matched elements from seed to results to keep them synchronized - i = matcherOut.length; - while ( i-- ) { - if ( (elem = matcherOut[i]) && - (temp = postFinder ? indexOf( seed, elem ) : preMap[i]) > -1 ) { - - seed[temp] = !(results[temp] = elem); - } - } - } - - // Add elements to results, through postFinder if defined - } else { - matcherOut = condense( - matcherOut === results ? - matcherOut.splice( preexisting, matcherOut.length ) : - matcherOut - ); - if ( postFinder ) { - postFinder( null, results, matcherOut, xml ); - } else { - push.apply( results, matcherOut ); - } - } - }); -} - -function matcherFromTokens( tokens ) { - var checkContext, matcher, j, - len = tokens.length, - leadingRelative = Expr.relative[ tokens[0].type ], - implicitRelative = leadingRelative || Expr.relative[" "], - i = leadingRelative ? 1 : 0, - - // The foundational matcher ensures that elements are reachable from top-level context(s) - matchContext = addCombinator( function( elem ) { - return elem === checkContext; - }, implicitRelative, true ), - matchAnyContext = addCombinator( function( elem ) { - return indexOf( checkContext, elem ) > -1; - }, implicitRelative, true ), - matchers = [ function( elem, context, xml ) { - var ret = ( !leadingRelative && ( xml || context !== outermostContext ) ) || ( - (checkContext = context).nodeType ? - matchContext( elem, context, xml ) : - matchAnyContext( elem, context, xml ) ); - // Avoid hanging onto element (issue #299) - checkContext = null; - return ret; - } ]; - - for ( ; i < len; i++ ) { - if ( (matcher = Expr.relative[ tokens[i].type ]) ) { - matchers = [ addCombinator(elementMatcher( matchers ), matcher) ]; - } else { - matcher = Expr.filter[ tokens[i].type ].apply( null, tokens[i].matches ); - - // Return special upon seeing a positional matcher - if ( matcher[ expando ] ) { - // Find the next relative operator (if any) for proper handling - j = ++i; - for ( ; j < len; j++ ) { - if ( Expr.relative[ tokens[j].type ] ) { - break; - } - } - return setMatcher( - i > 1 && elementMatcher( matchers ), - i > 1 && toSelector( - // If the preceding token was a descendant combinator, insert an implicit any-element `*` - tokens.slice( 0, i - 1 ).concat({ value: tokens[ i - 2 ].type === " " ? "*" : "" }) - ).replace( rtrim, "$1" ), - matcher, - i < j && matcherFromTokens( tokens.slice( i, j ) ), - j < len && matcherFromTokens( (tokens = tokens.slice( j )) ), - j < len && toSelector( tokens ) - ); - } - matchers.push( matcher ); - } - } - - return elementMatcher( matchers ); -} - -function matcherFromGroupMatchers( elementMatchers, setMatchers ) { - var bySet = setMatchers.length > 0, - byElement = elementMatchers.length > 0, - superMatcher = function( seed, context, xml, results, outermost ) { - var elem, j, matcher, - matchedCount = 0, - i = "0", - unmatched = seed && [], - setMatched = [], - contextBackup = outermostContext, - // We must always have either seed elements or outermost context - elems = seed || byElement && Expr.find["TAG"]( "*", outermost ), - // Use integer dirruns iff this is the outermost matcher - dirrunsUnique = (dirruns += contextBackup == null ? 1 : Math.random() || 0.1), - len = elems.length; - - if ( outermost ) { - outermostContext = context === document || context || outermost; - } - - // Add elements passing elementMatchers directly to results - // Support: IE<9, Safari - // Tolerate NodeList properties (IE: "length"; Safari: ) matching elements by id - for ( ; i !== len && (elem = elems[i]) != null; i++ ) { - if ( byElement && elem ) { - j = 0; - if ( !context && elem.ownerDocument !== document ) { - setDocument( elem ); - xml = !documentIsHTML; - } - while ( (matcher = elementMatchers[j++]) ) { - if ( matcher( elem, context || document, xml) ) { - results.push( elem ); - break; - } - } - if ( outermost ) { - dirruns = dirrunsUnique; - } - } - - // Track unmatched elements for set filters - if ( bySet ) { - // They will have gone through all possible matchers - if ( (elem = !matcher && elem) ) { - matchedCount--; - } - - // Lengthen the array for every element, matched or not - if ( seed ) { - unmatched.push( elem ); - } - } - } - - // `i` is now the count of elements visited above, and adding it to `matchedCount` - // makes the latter nonnegative. - matchedCount += i; - - // Apply set filters to unmatched elements - // NOTE: This can be skipped if there are no unmatched elements (i.e., `matchedCount` - // equals `i`), unless we didn't visit _any_ elements in the above loop because we have - // no element matchers and no seed. - // Incrementing an initially-string "0" `i` allows `i` to remain a string only in that - // case, which will result in a "00" `matchedCount` that differs from `i` but is also - // numerically zero. - if ( bySet && i !== matchedCount ) { - j = 0; - while ( (matcher = setMatchers[j++]) ) { - matcher( unmatched, setMatched, context, xml ); - } - - if ( seed ) { - // Reintegrate element matches to eliminate the need for sorting - if ( matchedCount > 0 ) { - while ( i-- ) { - if ( !(unmatched[i] || setMatched[i]) ) { - setMatched[i] = pop.call( results ); - } - } - } - - // Discard index placeholder values to get only actual matches - setMatched = condense( setMatched ); - } - - // Add matches to results - push.apply( results, setMatched ); - - // Seedless set matches succeeding multiple successful matchers stipulate sorting - if ( outermost && !seed && setMatched.length > 0 && - ( matchedCount + setMatchers.length ) > 1 ) { - - Sizzle.uniqueSort( results ); - } - } - - // Override manipulation of globals by nested matchers - if ( outermost ) { - dirruns = dirrunsUnique; - outermostContext = contextBackup; - } - - return unmatched; - }; - - return bySet ? - markFunction( superMatcher ) : - superMatcher; -} - -compile = Sizzle.compile = function( selector, match /* Internal Use Only */ ) { - var i, - setMatchers = [], - elementMatchers = [], - cached = compilerCache[ selector + " " ]; - - if ( !cached ) { - // Generate a function of recursive functions that can be used to check each element - if ( !match ) { - match = tokenize( selector ); - } - i = match.length; - while ( i-- ) { - cached = matcherFromTokens( match[i] ); - if ( cached[ expando ] ) { - setMatchers.push( cached ); - } else { - elementMatchers.push( cached ); - } - } - - // Cache the compiled function - cached = compilerCache( selector, matcherFromGroupMatchers( elementMatchers, setMatchers ) ); - - // Save selector and tokenization - cached.selector = selector; - } - return cached; -}; - -/** - * A low-level selection function that works with Sizzle's compiled - * selector functions - * @param {String|Function} selector A selector or a pre-compiled - * selector function built with Sizzle.compile - * @param {Element} context - * @param {Array} [results] - * @param {Array} [seed] A set of elements to match against - */ -select = Sizzle.select = function( selector, context, results, seed ) { - var i, tokens, token, type, find, - compiled = typeof selector === "function" && selector, - match = !seed && tokenize( (selector = compiled.selector || selector) ); - - results = results || []; - - // Try to minimize operations if there is only one selector in the list and no seed - // (the latter of which guarantees us context) - if ( match.length === 1 ) { - - // Reduce context if the leading compound selector is an ID - tokens = match[0] = match[0].slice( 0 ); - if ( tokens.length > 2 && (token = tokens[0]).type === "ID" && - context.nodeType === 9 && documentIsHTML && Expr.relative[ tokens[1].type ] ) { - - context = ( Expr.find["ID"]( token.matches[0].replace(runescape, funescape), context ) || [] )[0]; - if ( !context ) { - return results; - - // Precompiled matchers will still verify ancestry, so step up a level - } else if ( compiled ) { - context = context.parentNode; - } - - selector = selector.slice( tokens.shift().value.length ); - } - - // Fetch a seed set for right-to-left matching - i = matchExpr["needsContext"].test( selector ) ? 0 : tokens.length; - while ( i-- ) { - token = tokens[i]; - - // Abort if we hit a combinator - if ( Expr.relative[ (type = token.type) ] ) { - break; - } - if ( (find = Expr.find[ type ]) ) { - // Search, expanding context for leading sibling combinators - if ( (seed = find( - token.matches[0].replace( runescape, funescape ), - rsibling.test( tokens[0].type ) && testContext( context.parentNode ) || context - )) ) { - - // If seed is empty or no tokens remain, we can return early - tokens.splice( i, 1 ); - selector = seed.length && toSelector( tokens ); - if ( !selector ) { - push.apply( results, seed ); - return results; - } - - break; - } - } - } - } - - // Compile and execute a filtering function if one is not provided - // Provide `match` to avoid retokenization if we modified the selector above - ( compiled || compile( selector, match ) )( - seed, - context, - !documentIsHTML, - results, - !context || rsibling.test( selector ) && testContext( context.parentNode ) || context - ); - return results; -}; - -// One-time assignments - -// Sort stability -support.sortStable = expando.split("").sort( sortOrder ).join("") === expando; - -// Support: Chrome 14-35+ -// Always assume duplicates if they aren't passed to the comparison function -support.detectDuplicates = !!hasDuplicate; - -// Initialize against the default document -setDocument(); - -// Support: Webkit<537.32 - Safari 6.0.3/Chrome 25 (fixed in Chrome 27) -// Detached nodes confoundingly follow *each other* -support.sortDetached = assert(function( el ) { - // Should return 1, but returns 4 (following) - return el.compareDocumentPosition( document.createElement("fieldset") ) & 1; -}); - -// Support: IE<8 -// Prevent attribute/property "interpolation" -// https://msdn.microsoft.com/en-us/library/ms536429%28VS.85%29.aspx -if ( !assert(function( el ) { - el.innerHTML = ""; - return el.firstChild.getAttribute("href") === "#" ; -}) ) { - addHandle( "type|href|height|width", function( elem, name, isXML ) { - if ( !isXML ) { - return elem.getAttribute( name, name.toLowerCase() === "type" ? 1 : 2 ); - } - }); -} - -// Support: IE<9 -// Use defaultValue in place of getAttribute("value") -if ( !support.attributes || !assert(function( el ) { - el.innerHTML = ""; - el.firstChild.setAttribute( "value", "" ); - return el.firstChild.getAttribute( "value" ) === ""; -}) ) { - addHandle( "value", function( elem, name, isXML ) { - if ( !isXML && elem.nodeName.toLowerCase() === "input" ) { - return elem.defaultValue; - } - }); -} - -// Support: IE<9 -// Use getAttributeNode to fetch booleans when getAttribute lies -if ( !assert(function( el ) { - return el.getAttribute("disabled") == null; -}) ) { - addHandle( booleans, function( elem, name, isXML ) { - var val; - if ( !isXML ) { - return elem[ name ] === true ? name.toLowerCase() : - (val = elem.getAttributeNode( name )) && val.specified ? - val.value : - null; - } - }); -} - -return Sizzle; - -})( window ); - - - -jQuery.find = Sizzle; -jQuery.expr = Sizzle.selectors; - -// Deprecated -jQuery.expr[ ":" ] = jQuery.expr.pseudos; -jQuery.uniqueSort = jQuery.unique = Sizzle.uniqueSort; -jQuery.text = Sizzle.getText; -jQuery.isXMLDoc = Sizzle.isXML; -jQuery.contains = Sizzle.contains; -jQuery.escapeSelector = Sizzle.escape; - - - - -var dir = function( elem, dir, until ) { - var matched = [], - truncate = until !== undefined; - - while ( ( elem = elem[ dir ] ) && elem.nodeType !== 9 ) { - if ( elem.nodeType === 1 ) { - if ( truncate && jQuery( elem ).is( until ) ) { - break; - } - matched.push( elem ); - } - } - return matched; -}; - - -var siblings = function( n, elem ) { - var matched = []; - - for ( ; n; n = n.nextSibling ) { - if ( n.nodeType === 1 && n !== elem ) { - matched.push( n ); - } - } - - return matched; -}; - - -var rneedsContext = jQuery.expr.match.needsContext; - - - -function nodeName( elem, name ) { - - return elem.nodeName && elem.nodeName.toLowerCase() === name.toLowerCase(); - -}; -var rsingleTag = ( /^<([a-z][^\/\0>:\x20\t\r\n\f]*)[\x20\t\r\n\f]*\/?>(?:<\/\1>|)$/i ); - - - -// Implement the identical functionality for filter and not -function winnow( elements, qualifier, not ) { - if ( isFunction( qualifier ) ) { - return jQuery.grep( elements, function( elem, i ) { - return !!qualifier.call( elem, i, elem ) !== not; - } ); - } - - // Single element - if ( qualifier.nodeType ) { - return jQuery.grep( elements, function( elem ) { - return ( elem === qualifier ) !== not; - } ); - } - - // Arraylike of elements (jQuery, arguments, Array) - if ( typeof qualifier !== "string" ) { - return jQuery.grep( elements, function( elem ) { - return ( indexOf.call( qualifier, elem ) > -1 ) !== not; - } ); - } - - // Filtered directly for both simple and complex selectors - return jQuery.filter( qualifier, elements, not ); -} - -jQuery.filter = function( expr, elems, not ) { - var elem = elems[ 0 ]; - - if ( not ) { - expr = ":not(" + expr + ")"; - } - - if ( elems.length === 1 && elem.nodeType === 1 ) { - return jQuery.find.matchesSelector( elem, expr ) ? [ elem ] : []; - } - - return jQuery.find.matches( expr, jQuery.grep( elems, function( elem ) { - return elem.nodeType === 1; - } ) ); -}; - -jQuery.fn.extend( { - find: function( selector ) { - var i, ret, - len = this.length, - self = this; - - if ( typeof selector !== "string" ) { - return this.pushStack( jQuery( selector ).filter( function() { - for ( i = 0; i < len; i++ ) { - if ( jQuery.contains( self[ i ], this ) ) { - return true; - } - } - } ) ); - } - - ret = this.pushStack( [] ); - - for ( i = 0; i < len; i++ ) { - jQuery.find( selector, self[ i ], ret ); - } - - return len > 1 ? jQuery.uniqueSort( ret ) : ret; - }, - filter: function( selector ) { - return this.pushStack( winnow( this, selector || [], false ) ); - }, - not: function( selector ) { - return this.pushStack( winnow( this, selector || [], true ) ); - }, - is: function( selector ) { - return !!winnow( - this, - - // If this is a positional/relative selector, check membership in the returned set - // so $("p:first").is("p:last") won't return true for a doc with two "p". - typeof selector === "string" && rneedsContext.test( selector ) ? - jQuery( selector ) : - selector || [], - false - ).length; - } -} ); - - -// Initialize a jQuery object - - -// A central reference to the root jQuery(document) -var rootjQuery, - - // A simple way to check for HTML strings - // Prioritize #id over to avoid XSS via location.hash (#9521) - // Strict HTML recognition (#11290: must start with <) - // Shortcut simple #id case for speed - rquickExpr = /^(?:\s*(<[\w\W]+>)[^>]*|#([\w-]+))$/, - - init = jQuery.fn.init = function( selector, context, root ) { - var match, elem; - - // HANDLE: $(""), $(null), $(undefined), $(false) - if ( !selector ) { - return this; - } - - // Method init() accepts an alternate rootjQuery - // so migrate can support jQuery.sub (gh-2101) - root = root || rootjQuery; - - // Handle HTML strings - if ( typeof selector === "string" ) { - if ( selector[ 0 ] === "<" && - selector[ selector.length - 1 ] === ">" && - selector.length >= 3 ) { - - // Assume that strings that start and end with <> are HTML and skip the regex check - match = [ null, selector, null ]; - - } else { - match = rquickExpr.exec( selector ); - } - - // Match html or make sure no context is specified for #id - if ( match && ( match[ 1 ] || !context ) ) { - - // HANDLE: $(html) -> $(array) - if ( match[ 1 ] ) { - context = context instanceof jQuery ? context[ 0 ] : context; - - // Option to run scripts is true for back-compat - // Intentionally let the error be thrown if parseHTML is not present - jQuery.merge( this, jQuery.parseHTML( - match[ 1 ], - context && context.nodeType ? context.ownerDocument || context : document, - true - ) ); - - // HANDLE: $(html, props) - if ( rsingleTag.test( match[ 1 ] ) && jQuery.isPlainObject( context ) ) { - for ( match in context ) { - - // Properties of context are called as methods if possible - if ( isFunction( this[ match ] ) ) { - this[ match ]( context[ match ] ); - - // ...and otherwise set as attributes - } else { - this.attr( match, context[ match ] ); - } - } - } - - return this; - - // HANDLE: $(#id) - } else { - elem = document.getElementById( match[ 2 ] ); - - if ( elem ) { - - // Inject the element directly into the jQuery object - this[ 0 ] = elem; - this.length = 1; - } - return this; - } - - // HANDLE: $(expr, $(...)) - } else if ( !context || context.jquery ) { - return ( context || root ).find( selector ); - - // HANDLE: $(expr, context) - // (which is just equivalent to: $(context).find(expr) - } else { - return this.constructor( context ).find( selector ); - } - - // HANDLE: $(DOMElement) - } else if ( selector.nodeType ) { - this[ 0 ] = selector; - this.length = 1; - return this; - - // HANDLE: $(function) - // Shortcut for document ready - } else if ( isFunction( selector ) ) { - return root.ready !== undefined ? - root.ready( selector ) : - - // Execute immediately if ready is not present - selector( jQuery ); - } - - return jQuery.makeArray( selector, this ); - }; - -// Give the init function the jQuery prototype for later instantiation -init.prototype = jQuery.fn; - -// Initialize central reference -rootjQuery = jQuery( document ); - - -var rparentsprev = /^(?:parents|prev(?:Until|All))/, - - // Methods guaranteed to produce a unique set when starting from a unique set - guaranteedUnique = { - children: true, - contents: true, - next: true, - prev: true - }; - -jQuery.fn.extend( { - has: function( target ) { - var targets = jQuery( target, this ), - l = targets.length; - - return this.filter( function() { - var i = 0; - for ( ; i < l; i++ ) { - if ( jQuery.contains( this, targets[ i ] ) ) { - return true; - } - } - } ); - }, - - closest: function( selectors, context ) { - var cur, - i = 0, - l = this.length, - matched = [], - targets = typeof selectors !== "string" && jQuery( selectors ); - - // Positional selectors never match, since there's no _selection_ context - if ( !rneedsContext.test( selectors ) ) { - for ( ; i < l; i++ ) { - for ( cur = this[ i ]; cur && cur !== context; cur = cur.parentNode ) { - - // Always skip document fragments - if ( cur.nodeType < 11 && ( targets ? - targets.index( cur ) > -1 : - - // Don't pass non-elements to Sizzle - cur.nodeType === 1 && - jQuery.find.matchesSelector( cur, selectors ) ) ) { - - matched.push( cur ); - break; - } - } - } - } - - return this.pushStack( matched.length > 1 ? jQuery.uniqueSort( matched ) : matched ); - }, - - // Determine the position of an element within the set - index: function( elem ) { - - // No argument, return index in parent - if ( !elem ) { - return ( this[ 0 ] && this[ 0 ].parentNode ) ? this.first().prevAll().length : -1; - } - - // Index in selector - if ( typeof elem === "string" ) { - return indexOf.call( jQuery( elem ), this[ 0 ] ); - } - - // Locate the position of the desired element - return indexOf.call( this, - - // If it receives a jQuery object, the first element is used - elem.jquery ? elem[ 0 ] : elem - ); - }, - - add: function( selector, context ) { - return this.pushStack( - jQuery.uniqueSort( - jQuery.merge( this.get(), jQuery( selector, context ) ) - ) - ); - }, - - addBack: function( selector ) { - return this.add( selector == null ? - this.prevObject : this.prevObject.filter( selector ) - ); - } -} ); - -function sibling( cur, dir ) { - while ( ( cur = cur[ dir ] ) && cur.nodeType !== 1 ) {} - return cur; -} - -jQuery.each( { - parent: function( elem ) { - var parent = elem.parentNode; - return parent && parent.nodeType !== 11 ? parent : null; - }, - parents: function( elem ) { - return dir( elem, "parentNode" ); - }, - parentsUntil: function( elem, i, until ) { - return dir( elem, "parentNode", until ); - }, - next: function( elem ) { - return sibling( elem, "nextSibling" ); - }, - prev: function( elem ) { - return sibling( elem, "previousSibling" ); - }, - nextAll: function( elem ) { - return dir( elem, "nextSibling" ); - }, - prevAll: function( elem ) { - return dir( elem, "previousSibling" ); - }, - nextUntil: function( elem, i, until ) { - return dir( elem, "nextSibling", until ); - }, - prevUntil: function( elem, i, until ) { - return dir( elem, "previousSibling", until ); - }, - siblings: function( elem ) { - return siblings( ( elem.parentNode || {} ).firstChild, elem ); - }, - children: function( elem ) { - return siblings( elem.firstChild ); - }, - contents: function( elem ) { - if ( nodeName( elem, "iframe" ) ) { - return elem.contentDocument; - } - - // Support: IE 9 - 11 only, iOS 7 only, Android Browser <=4.3 only - // Treat the template element as a regular one in browsers that - // don't support it. - if ( nodeName( elem, "template" ) ) { - elem = elem.content || elem; - } - - return jQuery.merge( [], elem.childNodes ); - } -}, function( name, fn ) { - jQuery.fn[ name ] = function( until, selector ) { - var matched = jQuery.map( this, fn, until ); - - if ( name.slice( -5 ) !== "Until" ) { - selector = until; - } - - if ( selector && typeof selector === "string" ) { - matched = jQuery.filter( selector, matched ); - } - - if ( this.length > 1 ) { - - // Remove duplicates - if ( !guaranteedUnique[ name ] ) { - jQuery.uniqueSort( matched ); - } - - // Reverse order for parents* and prev-derivatives - if ( rparentsprev.test( name ) ) { - matched.reverse(); - } - } - - return this.pushStack( matched ); - }; -} ); -var rnothtmlwhite = ( /[^\x20\t\r\n\f]+/g ); - - - -// Convert String-formatted options into Object-formatted ones -function createOptions( options ) { - var object = {}; - jQuery.each( options.match( rnothtmlwhite ) || [], function( _, flag ) { - object[ flag ] = true; - } ); - return object; -} - -/* - * Create a callback list using the following parameters: - * - * options: an optional list of space-separated options that will change how - * the callback list behaves or a more traditional option object - * - * By default a callback list will act like an event callback list and can be - * "fired" multiple times. - * - * Possible options: - * - * once: will ensure the callback list can only be fired once (like a Deferred) - * - * memory: will keep track of previous values and will call any callback added - * after the list has been fired right away with the latest "memorized" - * values (like a Deferred) - * - * unique: will ensure a callback can only be added once (no duplicate in the list) - * - * stopOnFalse: interrupt callings when a callback returns false - * - */ -jQuery.Callbacks = function( options ) { - - // Convert options from String-formatted to Object-formatted if needed - // (we check in cache first) - options = typeof options === "string" ? - createOptions( options ) : - jQuery.extend( {}, options ); - - var // Flag to know if list is currently firing - firing, - - // Last fire value for non-forgettable lists - memory, - - // Flag to know if list was already fired - fired, - - // Flag to prevent firing - locked, - - // Actual callback list - list = [], - - // Queue of execution data for repeatable lists - queue = [], - - // Index of currently firing callback (modified by add/remove as needed) - firingIndex = -1, - - // Fire callbacks - fire = function() { - - // Enforce single-firing - locked = locked || options.once; - - // Execute callbacks for all pending executions, - // respecting firingIndex overrides and runtime changes - fired = firing = true; - for ( ; queue.length; firingIndex = -1 ) { - memory = queue.shift(); - while ( ++firingIndex < list.length ) { - - // Run callback and check for early termination - if ( list[ firingIndex ].apply( memory[ 0 ], memory[ 1 ] ) === false && - options.stopOnFalse ) { - - // Jump to end and forget the data so .add doesn't re-fire - firingIndex = list.length; - memory = false; - } - } - } - - // Forget the data if we're done with it - if ( !options.memory ) { - memory = false; - } - - firing = false; - - // Clean up if we're done firing for good - if ( locked ) { - - // Keep an empty list if we have data for future add calls - if ( memory ) { - list = []; - - // Otherwise, this object is spent - } else { - list = ""; - } - } - }, - - // Actual Callbacks object - self = { - - // Add a callback or a collection of callbacks to the list - add: function() { - if ( list ) { - - // If we have memory from a past run, we should fire after adding - if ( memory && !firing ) { - firingIndex = list.length - 1; - queue.push( memory ); - } - - ( function add( args ) { - jQuery.each( args, function( _, arg ) { - if ( isFunction( arg ) ) { - if ( !options.unique || !self.has( arg ) ) { - list.push( arg ); - } - } else if ( arg && arg.length && toType( arg ) !== "string" ) { - - // Inspect recursively - add( arg ); - } - } ); - } )( arguments ); - - if ( memory && !firing ) { - fire(); - } - } - return this; - }, - - // Remove a callback from the list - remove: function() { - jQuery.each( arguments, function( _, arg ) { - var index; - while ( ( index = jQuery.inArray( arg, list, index ) ) > -1 ) { - list.splice( index, 1 ); - - // Handle firing indexes - if ( index <= firingIndex ) { - firingIndex--; - } - } - } ); - return this; - }, - - // Check if a given callback is in the list. - // If no argument is given, return whether or not list has callbacks attached. - has: function( fn ) { - return fn ? - jQuery.inArray( fn, list ) > -1 : - list.length > 0; - }, - - // Remove all callbacks from the list - empty: function() { - if ( list ) { - list = []; - } - return this; - }, - - // Disable .fire and .add - // Abort any current/pending executions - // Clear all callbacks and values - disable: function() { - locked = queue = []; - list = memory = ""; - return this; - }, - disabled: function() { - return !list; - }, - - // Disable .fire - // Also disable .add unless we have memory (since it would have no effect) - // Abort any pending executions - lock: function() { - locked = queue = []; - if ( !memory && !firing ) { - list = memory = ""; - } - return this; - }, - locked: function() { - return !!locked; - }, - - // Call all callbacks with the given context and arguments - fireWith: function( context, args ) { - if ( !locked ) { - args = args || []; - args = [ context, args.slice ? args.slice() : args ]; - queue.push( args ); - if ( !firing ) { - fire(); - } - } - return this; - }, - - // Call all the callbacks with the given arguments - fire: function() { - self.fireWith( this, arguments ); - return this; - }, - - // To know if the callbacks have already been called at least once - fired: function() { - return !!fired; - } - }; - - return self; -}; - - -function Identity( v ) { - return v; -} -function Thrower( ex ) { - throw ex; -} - -function adoptValue( value, resolve, reject, noValue ) { - var method; - - try { - - // Check for promise aspect first to privilege synchronous behavior - if ( value && isFunction( ( method = value.promise ) ) ) { - method.call( value ).done( resolve ).fail( reject ); - - // Other thenables - } else if ( value && isFunction( ( method = value.then ) ) ) { - method.call( value, resolve, reject ); - - // Other non-thenables - } else { - - // Control `resolve` arguments by letting Array#slice cast boolean `noValue` to integer: - // * false: [ value ].slice( 0 ) => resolve( value ) - // * true: [ value ].slice( 1 ) => resolve() - resolve.apply( undefined, [ value ].slice( noValue ) ); - } - - // For Promises/A+, convert exceptions into rejections - // Since jQuery.when doesn't unwrap thenables, we can skip the extra checks appearing in - // Deferred#then to conditionally suppress rejection. - } catch ( value ) { - - // Support: Android 4.0 only - // Strict mode functions invoked without .call/.apply get global-object context - reject.apply( undefined, [ value ] ); - } -} - -jQuery.extend( { - - Deferred: function( func ) { - var tuples = [ - - // action, add listener, callbacks, - // ... .then handlers, argument index, [final state] - [ "notify", "progress", jQuery.Callbacks( "memory" ), - jQuery.Callbacks( "memory" ), 2 ], - [ "resolve", "done", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 0, "resolved" ], - [ "reject", "fail", jQuery.Callbacks( "once memory" ), - jQuery.Callbacks( "once memory" ), 1, "rejected" ] - ], - state = "pending", - promise = { - state: function() { - return state; - }, - always: function() { - deferred.done( arguments ).fail( arguments ); - return this; - }, - "catch": function( fn ) { - return promise.then( null, fn ); - }, - - // Keep pipe for back-compat - pipe: function( /* fnDone, fnFail, fnProgress */ ) { - var fns = arguments; - - return jQuery.Deferred( function( newDefer ) { - jQuery.each( tuples, function( i, tuple ) { - - // Map tuples (progress, done, fail) to arguments (done, fail, progress) - var fn = isFunction( fns[ tuple[ 4 ] ] ) && fns[ tuple[ 4 ] ]; - - // deferred.progress(function() { bind to newDefer or newDefer.notify }) - // deferred.done(function() { bind to newDefer or newDefer.resolve }) - // deferred.fail(function() { bind to newDefer or newDefer.reject }) - deferred[ tuple[ 1 ] ]( function() { - var returned = fn && fn.apply( this, arguments ); - if ( returned && isFunction( returned.promise ) ) { - returned.promise() - .progress( newDefer.notify ) - .done( newDefer.resolve ) - .fail( newDefer.reject ); - } else { - newDefer[ tuple[ 0 ] + "With" ]( - this, - fn ? [ returned ] : arguments - ); - } - } ); - } ); - fns = null; - } ).promise(); - }, - then: function( onFulfilled, onRejected, onProgress ) { - var maxDepth = 0; - function resolve( depth, deferred, handler, special ) { - return function() { - var that = this, - args = arguments, - mightThrow = function() { - var returned, then; - - // Support: Promises/A+ section 2.3.3.3.3 - // https://promisesaplus.com/#point-59 - // Ignore double-resolution attempts - if ( depth < maxDepth ) { - return; - } - - returned = handler.apply( that, args ); - - // Support: Promises/A+ section 2.3.1 - // https://promisesaplus.com/#point-48 - if ( returned === deferred.promise() ) { - throw new TypeError( "Thenable self-resolution" ); - } - - // Support: Promises/A+ sections 2.3.3.1, 3.5 - // https://promisesaplus.com/#point-54 - // https://promisesaplus.com/#point-75 - // Retrieve `then` only once - then = returned && - - // Support: Promises/A+ section 2.3.4 - // https://promisesaplus.com/#point-64 - // Only check objects and functions for thenability - ( typeof returned === "object" || - typeof returned === "function" ) && - returned.then; - - // Handle a returned thenable - if ( isFunction( then ) ) { - - // Special processors (notify) just wait for resolution - if ( special ) { - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ) - ); - - // Normal processors (resolve) also hook into progress - } else { - - // ...and disregard older resolution values - maxDepth++; - - then.call( - returned, - resolve( maxDepth, deferred, Identity, special ), - resolve( maxDepth, deferred, Thrower, special ), - resolve( maxDepth, deferred, Identity, - deferred.notifyWith ) - ); - } - - // Handle all other returned values - } else { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Identity ) { - that = undefined; - args = [ returned ]; - } - - // Process the value(s) - // Default process is resolve - ( special || deferred.resolveWith )( that, args ); - } - }, - - // Only normal processors (resolve) catch and reject exceptions - process = special ? - mightThrow : - function() { - try { - mightThrow(); - } catch ( e ) { - - if ( jQuery.Deferred.exceptionHook ) { - jQuery.Deferred.exceptionHook( e, - process.stackTrace ); - } - - // Support: Promises/A+ section 2.3.3.3.4.1 - // https://promisesaplus.com/#point-61 - // Ignore post-resolution exceptions - if ( depth + 1 >= maxDepth ) { - - // Only substitute handlers pass on context - // and multiple values (non-spec behavior) - if ( handler !== Thrower ) { - that = undefined; - args = [ e ]; - } - - deferred.rejectWith( that, args ); - } - } - }; - - // Support: Promises/A+ section 2.3.3.3.1 - // https://promisesaplus.com/#point-57 - // Re-resolve promises immediately to dodge false rejection from - // subsequent errors - if ( depth ) { - process(); - } else { - - // Call an optional hook to record the stack, in case of exception - // since it's otherwise lost when execution goes async - if ( jQuery.Deferred.getStackHook ) { - process.stackTrace = jQuery.Deferred.getStackHook(); - } - window.setTimeout( process ); - } - }; - } - - return jQuery.Deferred( function( newDefer ) { - - // progress_handlers.add( ... ) - tuples[ 0 ][ 3 ].add( - resolve( - 0, - newDefer, - isFunction( onProgress ) ? - onProgress : - Identity, - newDefer.notifyWith - ) - ); - - // fulfilled_handlers.add( ... ) - tuples[ 1 ][ 3 ].add( - resolve( - 0, - newDefer, - isFunction( onFulfilled ) ? - onFulfilled : - Identity - ) - ); - - // rejected_handlers.add( ... ) - tuples[ 2 ][ 3 ].add( - resolve( - 0, - newDefer, - isFunction( onRejected ) ? - onRejected : - Thrower - ) - ); - } ).promise(); - }, - - // Get a promise for this deferred - // If obj is provided, the promise aspect is added to the object - promise: function( obj ) { - return obj != null ? jQuery.extend( obj, promise ) : promise; - } - }, - deferred = {}; - - // Add list-specific methods - jQuery.each( tuples, function( i, tuple ) { - var list = tuple[ 2 ], - stateString = tuple[ 5 ]; - - // promise.progress = list.add - // promise.done = list.add - // promise.fail = list.add - promise[ tuple[ 1 ] ] = list.add; - - // Handle state - if ( stateString ) { - list.add( - function() { - - // state = "resolved" (i.e., fulfilled) - // state = "rejected" - state = stateString; - }, - - // rejected_callbacks.disable - // fulfilled_callbacks.disable - tuples[ 3 - i ][ 2 ].disable, - - // rejected_handlers.disable - // fulfilled_handlers.disable - tuples[ 3 - i ][ 3 ].disable, - - // progress_callbacks.lock - tuples[ 0 ][ 2 ].lock, - - // progress_handlers.lock - tuples[ 0 ][ 3 ].lock - ); - } - - // progress_handlers.fire - // fulfilled_handlers.fire - // rejected_handlers.fire - list.add( tuple[ 3 ].fire ); - - // deferred.notify = function() { deferred.notifyWith(...) } - // deferred.resolve = function() { deferred.resolveWith(...) } - // deferred.reject = function() { deferred.rejectWith(...) } - deferred[ tuple[ 0 ] ] = function() { - deferred[ tuple[ 0 ] + "With" ]( this === deferred ? undefined : this, arguments ); - return this; - }; - - // deferred.notifyWith = list.fireWith - // deferred.resolveWith = list.fireWith - // deferred.rejectWith = list.fireWith - deferred[ tuple[ 0 ] + "With" ] = list.fireWith; - } ); - - // Make the deferred a promise - promise.promise( deferred ); - - // Call given func if any - if ( func ) { - func.call( deferred, deferred ); - } - - // All done! - return deferred; - }, - - // Deferred helper - when: function( singleValue ) { - var - - // count of uncompleted subordinates - remaining = arguments.length, - - // count of unprocessed arguments - i = remaining, - - // subordinate fulfillment data - resolveContexts = Array( i ), - resolveValues = slice.call( arguments ), - - // the master Deferred - master = jQuery.Deferred(), - - // subordinate callback factory - updateFunc = function( i ) { - return function( value ) { - resolveContexts[ i ] = this; - resolveValues[ i ] = arguments.length > 1 ? slice.call( arguments ) : value; - if ( !( --remaining ) ) { - master.resolveWith( resolveContexts, resolveValues ); - } - }; - }; - - // Single- and empty arguments are adopted like Promise.resolve - if ( remaining <= 1 ) { - adoptValue( singleValue, master.done( updateFunc( i ) ).resolve, master.reject, - !remaining ); - - // Use .then() to unwrap secondary thenables (cf. gh-3000) - if ( master.state() === "pending" || - isFunction( resolveValues[ i ] && resolveValues[ i ].then ) ) { - - return master.then(); - } - } - - // Multiple arguments are aggregated like Promise.all array elements - while ( i-- ) { - adoptValue( resolveValues[ i ], updateFunc( i ), master.reject ); - } - - return master.promise(); - } -} ); - - -// These usually indicate a programmer mistake during development, -// warn about them ASAP rather than swallowing them by default. -var rerrorNames = /^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/; - -jQuery.Deferred.exceptionHook = function( error, stack ) { - - // Support: IE 8 - 9 only - // Console exists when dev tools are open, which can happen at any time - if ( window.console && window.console.warn && error && rerrorNames.test( error.name ) ) { - window.console.warn( "jQuery.Deferred exception: " + error.message, error.stack, stack ); - } -}; - - - - -jQuery.readyException = function( error ) { - window.setTimeout( function() { - throw error; - } ); -}; - - - - -// The deferred used on DOM ready -var readyList = jQuery.Deferred(); - -jQuery.fn.ready = function( fn ) { - - readyList - .then( fn ) - - // Wrap jQuery.readyException in a function so that the lookup - // happens at the time of error handling instead of callback - // registration. - .catch( function( error ) { - jQuery.readyException( error ); - } ); - - return this; -}; - -jQuery.extend( { - - // Is the DOM ready to be used? Set to true once it occurs. - isReady: false, - - // A counter to track how many items to wait for before - // the ready event fires. See #6781 - readyWait: 1, - - // Handle when the DOM is ready - ready: function( wait ) { - - // Abort if there are pending holds or we're already ready - if ( wait === true ? --jQuery.readyWait : jQuery.isReady ) { - return; - } - - // Remember that the DOM is ready - jQuery.isReady = true; - - // If a normal DOM Ready event fired, decrement, and wait if need be - if ( wait !== true && --jQuery.readyWait > 0 ) { - return; - } - - // If there are functions bound, to execute - readyList.resolveWith( document, [ jQuery ] ); - } -} ); - -jQuery.ready.then = readyList.then; - -// The ready event handler and self cleanup method -function completed() { - document.removeEventListener( "DOMContentLoaded", completed ); - window.removeEventListener( "load", completed ); - jQuery.ready(); -} - -// Catch cases where $(document).ready() is called -// after the browser event has already occurred. -// Support: IE <=9 - 10 only -// Older IE sometimes signals "interactive" too soon -if ( document.readyState === "complete" || - ( document.readyState !== "loading" && !document.documentElement.doScroll ) ) { - - // Handle it asynchronously to allow scripts the opportunity to delay ready - window.setTimeout( jQuery.ready ); - -} else { - - // Use the handy event callback - document.addEventListener( "DOMContentLoaded", completed ); - - // A fallback to window.onload, that will always work - window.addEventListener( "load", completed ); -} - - - - -// Multifunctional method to get and set values of a collection -// The value/s can optionally be executed if it's a function -var access = function( elems, fn, key, value, chainable, emptyGet, raw ) { - var i = 0, - len = elems.length, - bulk = key == null; - - // Sets many values - if ( toType( key ) === "object" ) { - chainable = true; - for ( i in key ) { - access( elems, fn, i, key[ i ], true, emptyGet, raw ); - } - - // Sets one value - } else if ( value !== undefined ) { - chainable = true; - - if ( !isFunction( value ) ) { - raw = true; - } - - if ( bulk ) { - - // Bulk operations run against the entire set - if ( raw ) { - fn.call( elems, value ); - fn = null; - - // ...except when executing function values - } else { - bulk = fn; - fn = function( elem, key, value ) { - return bulk.call( jQuery( elem ), value ); - }; - } - } - - if ( fn ) { - for ( ; i < len; i++ ) { - fn( - elems[ i ], key, raw ? - value : - value.call( elems[ i ], i, fn( elems[ i ], key ) ) - ); - } - } - } - - if ( chainable ) { - return elems; - } - - // Gets - if ( bulk ) { - return fn.call( elems ); - } - - return len ? fn( elems[ 0 ], key ) : emptyGet; -}; - - -// Matches dashed string for camelizing -var rmsPrefix = /^-ms-/, - rdashAlpha = /-([a-z])/g; - -// Used by camelCase as callback to replace() -function fcamelCase( all, letter ) { - return letter.toUpperCase(); -} - -// Convert dashed to camelCase; used by the css and data modules -// Support: IE <=9 - 11, Edge 12 - 15 -// Microsoft forgot to hump their vendor prefix (#9572) -function camelCase( string ) { - return string.replace( rmsPrefix, "ms-" ).replace( rdashAlpha, fcamelCase ); -} -var acceptData = function( owner ) { - - // Accepts only: - // - Node - // - Node.ELEMENT_NODE - // - Node.DOCUMENT_NODE - // - Object - // - Any - return owner.nodeType === 1 || owner.nodeType === 9 || !( +owner.nodeType ); -}; - - - - -function Data() { - this.expando = jQuery.expando + Data.uid++; -} - -Data.uid = 1; - -Data.prototype = { - - cache: function( owner ) { - - // Check if the owner object already has a cache - var value = owner[ this.expando ]; - - // If not, create one - if ( !value ) { - value = {}; - - // We can accept data for non-element nodes in modern browsers, - // but we should not, see #8335. - // Always return an empty object. - if ( acceptData( owner ) ) { - - // If it is a node unlikely to be stringify-ed or looped over - // use plain assignment - if ( owner.nodeType ) { - owner[ this.expando ] = value; - - // Otherwise secure it in a non-enumerable property - // configurable must be true to allow the property to be - // deleted when data is removed - } else { - Object.defineProperty( owner, this.expando, { - value: value, - configurable: true - } ); - } - } - } - - return value; - }, - set: function( owner, data, value ) { - var prop, - cache = this.cache( owner ); - - // Handle: [ owner, key, value ] args - // Always use camelCase key (gh-2257) - if ( typeof data === "string" ) { - cache[ camelCase( data ) ] = value; - - // Handle: [ owner, { properties } ] args - } else { - - // Copy the properties one-by-one to the cache object - for ( prop in data ) { - cache[ camelCase( prop ) ] = data[ prop ]; - } - } - return cache; - }, - get: function( owner, key ) { - return key === undefined ? - this.cache( owner ) : - - // Always use camelCase key (gh-2257) - owner[ this.expando ] && owner[ this.expando ][ camelCase( key ) ]; - }, - access: function( owner, key, value ) { - - // In cases where either: - // - // 1. No key was specified - // 2. A string key was specified, but no value provided - // - // Take the "read" path and allow the get method to determine - // which value to return, respectively either: - // - // 1. The entire cache object - // 2. The data stored at the key - // - if ( key === undefined || - ( ( key && typeof key === "string" ) && value === undefined ) ) { - - return this.get( owner, key ); - } - - // When the key is not a string, or both a key and value - // are specified, set or extend (existing objects) with either: - // - // 1. An object of properties - // 2. A key and value - // - this.set( owner, key, value ); - - // Since the "set" path can have two possible entry points - // return the expected data based on which path was taken[*] - return value !== undefined ? value : key; - }, - remove: function( owner, key ) { - var i, - cache = owner[ this.expando ]; - - if ( cache === undefined ) { - return; - } - - if ( key !== undefined ) { - - // Support array or space separated string of keys - if ( Array.isArray( key ) ) { - - // If key is an array of keys... - // We always set camelCase keys, so remove that. - key = key.map( camelCase ); - } else { - key = camelCase( key ); - - // If a key with the spaces exists, use it. - // Otherwise, create an array by matching non-whitespace - key = key in cache ? - [ key ] : - ( key.match( rnothtmlwhite ) || [] ); - } - - i = key.length; - - while ( i-- ) { - delete cache[ key[ i ] ]; - } - } - - // Remove the expando if there's no more data - if ( key === undefined || jQuery.isEmptyObject( cache ) ) { - - // Support: Chrome <=35 - 45 - // Webkit & Blink performance suffers when deleting properties - // from DOM nodes, so set to undefined instead - // https://bugs.chromium.org/p/chromium/issues/detail?id=378607 (bug restricted) - if ( owner.nodeType ) { - owner[ this.expando ] = undefined; - } else { - delete owner[ this.expando ]; - } - } - }, - hasData: function( owner ) { - var cache = owner[ this.expando ]; - return cache !== undefined && !jQuery.isEmptyObject( cache ); - } -}; -var dataPriv = new Data(); - -var dataUser = new Data(); - - - -// Implementation Summary -// -// 1. Enforce API surface and semantic compatibility with 1.9.x branch -// 2. Improve the module's maintainability by reducing the storage -// paths to a single mechanism. -// 3. Use the same single mechanism to support "private" and "user" data. -// 4. _Never_ expose "private" data to user code (TODO: Drop _data, _removeData) -// 5. Avoid exposing implementation details on user objects (eg. expando properties) -// 6. Provide a clear path for implementation upgrade to WeakMap in 2014 - -var rbrace = /^(?:\{[\w\W]*\}|\[[\w\W]*\])$/, - rmultiDash = /[A-Z]/g; - -function getData( data ) { - if ( data === "true" ) { - return true; - } - - if ( data === "false" ) { - return false; - } - - if ( data === "null" ) { - return null; - } - - // Only convert to a number if it doesn't change the string - if ( data === +data + "" ) { - return +data; - } - - if ( rbrace.test( data ) ) { - return JSON.parse( data ); - } - - return data; -} - -function dataAttr( elem, key, data ) { - var name; - - // If nothing was found internally, try to fetch any - // data from the HTML5 data-* attribute - if ( data === undefined && elem.nodeType === 1 ) { - name = "data-" + key.replace( rmultiDash, "-$&" ).toLowerCase(); - data = elem.getAttribute( name ); - - if ( typeof data === "string" ) { - try { - data = getData( data ); - } catch ( e ) {} - - // Make sure we set the data so it isn't changed later - dataUser.set( elem, key, data ); - } else { - data = undefined; - } - } - return data; -} - -jQuery.extend( { - hasData: function( elem ) { - return dataUser.hasData( elem ) || dataPriv.hasData( elem ); - }, - - data: function( elem, name, data ) { - return dataUser.access( elem, name, data ); - }, - - removeData: function( elem, name ) { - dataUser.remove( elem, name ); - }, - - // TODO: Now that all calls to _data and _removeData have been replaced - // with direct calls to dataPriv methods, these can be deprecated. - _data: function( elem, name, data ) { - return dataPriv.access( elem, name, data ); - }, - - _removeData: function( elem, name ) { - dataPriv.remove( elem, name ); - } -} ); - -jQuery.fn.extend( { - data: function( key, value ) { - var i, name, data, - elem = this[ 0 ], - attrs = elem && elem.attributes; - - // Gets all values - if ( key === undefined ) { - if ( this.length ) { - data = dataUser.get( elem ); - - if ( elem.nodeType === 1 && !dataPriv.get( elem, "hasDataAttrs" ) ) { - i = attrs.length; - while ( i-- ) { - - // Support: IE 11 only - // The attrs elements can be null (#14894) - if ( attrs[ i ] ) { - name = attrs[ i ].name; - if ( name.indexOf( "data-" ) === 0 ) { - name = camelCase( name.slice( 5 ) ); - dataAttr( elem, name, data[ name ] ); - } - } - } - dataPriv.set( elem, "hasDataAttrs", true ); - } - } - - return data; - } - - // Sets multiple values - if ( typeof key === "object" ) { - return this.each( function() { - dataUser.set( this, key ); - } ); - } - - return access( this, function( value ) { - var data; - - // The calling jQuery object (element matches) is not empty - // (and therefore has an element appears at this[ 0 ]) and the - // `value` parameter was not undefined. An empty jQuery object - // will result in `undefined` for elem = this[ 0 ] which will - // throw an exception if an attempt to read a data cache is made. - if ( elem && value === undefined ) { - - // Attempt to get data from the cache - // The key will always be camelCased in Data - data = dataUser.get( elem, key ); - if ( data !== undefined ) { - return data; - } - - // Attempt to "discover" the data in - // HTML5 custom data-* attrs - data = dataAttr( elem, key ); - if ( data !== undefined ) { - return data; - } - - // We tried really hard, but the data doesn't exist. - return; - } - - // Set the data... - this.each( function() { - - // We always store the camelCased key - dataUser.set( this, key, value ); - } ); - }, null, value, arguments.length > 1, null, true ); - }, - - removeData: function( key ) { - return this.each( function() { - dataUser.remove( this, key ); - } ); - } -} ); - - -jQuery.extend( { - queue: function( elem, type, data ) { - var queue; - - if ( elem ) { - type = ( type || "fx" ) + "queue"; - queue = dataPriv.get( elem, type ); - - // Speed up dequeue by getting out quickly if this is just a lookup - if ( data ) { - if ( !queue || Array.isArray( data ) ) { - queue = dataPriv.access( elem, type, jQuery.makeArray( data ) ); - } else { - queue.push( data ); - } - } - return queue || []; - } - }, - - dequeue: function( elem, type ) { - type = type || "fx"; - - var queue = jQuery.queue( elem, type ), - startLength = queue.length, - fn = queue.shift(), - hooks = jQuery._queueHooks( elem, type ), - next = function() { - jQuery.dequeue( elem, type ); - }; - - // If the fx queue is dequeued, always remove the progress sentinel - if ( fn === "inprogress" ) { - fn = queue.shift(); - startLength--; - } - - if ( fn ) { - - // Add a progress sentinel to prevent the fx queue from being - // automatically dequeued - if ( type === "fx" ) { - queue.unshift( "inprogress" ); - } - - // Clear up the last queue stop function - delete hooks.stop; - fn.call( elem, next, hooks ); - } - - if ( !startLength && hooks ) { - hooks.empty.fire(); - } - }, - - // Not public - generate a queueHooks object, or return the current one - _queueHooks: function( elem, type ) { - var key = type + "queueHooks"; - return dataPriv.get( elem, key ) || dataPriv.access( elem, key, { - empty: jQuery.Callbacks( "once memory" ).add( function() { - dataPriv.remove( elem, [ type + "queue", key ] ); - } ) - } ); - } -} ); - -jQuery.fn.extend( { - queue: function( type, data ) { - var setter = 2; - - if ( typeof type !== "string" ) { - data = type; - type = "fx"; - setter--; - } - - if ( arguments.length < setter ) { - return jQuery.queue( this[ 0 ], type ); - } - - return data === undefined ? - this : - this.each( function() { - var queue = jQuery.queue( this, type, data ); - - // Ensure a hooks for this queue - jQuery._queueHooks( this, type ); - - if ( type === "fx" && queue[ 0 ] !== "inprogress" ) { - jQuery.dequeue( this, type ); - } - } ); - }, - dequeue: function( type ) { - return this.each( function() { - jQuery.dequeue( this, type ); - } ); - }, - clearQueue: function( type ) { - return this.queue( type || "fx", [] ); - }, - - // Get a promise resolved when queues of a certain type - // are emptied (fx is the type by default) - promise: function( type, obj ) { - var tmp, - count = 1, - defer = jQuery.Deferred(), - elements = this, - i = this.length, - resolve = function() { - if ( !( --count ) ) { - defer.resolveWith( elements, [ elements ] ); - } - }; - - if ( typeof type !== "string" ) { - obj = type; - type = undefined; - } - type = type || "fx"; - - while ( i-- ) { - tmp = dataPriv.get( elements[ i ], type + "queueHooks" ); - if ( tmp && tmp.empty ) { - count++; - tmp.empty.add( resolve ); - } - } - resolve(); - return defer.promise( obj ); - } -} ); -var pnum = ( /[+-]?(?:\d*\.|)\d+(?:[eE][+-]?\d+|)/ ).source; - -var rcssNum = new RegExp( "^(?:([+-])=|)(" + pnum + ")([a-z%]*)$", "i" ); - - -var cssExpand = [ "Top", "Right", "Bottom", "Left" ]; - -var isHiddenWithinTree = function( elem, el ) { - - // isHiddenWithinTree might be called from jQuery#filter function; - // in that case, element will be second argument - elem = el || elem; - - // Inline style trumps all - return elem.style.display === "none" || - elem.style.display === "" && - - // Otherwise, check computed style - // Support: Firefox <=43 - 45 - // Disconnected elements can have computed display: none, so first confirm that elem is - // in the document. - jQuery.contains( elem.ownerDocument, elem ) && - - jQuery.css( elem, "display" ) === "none"; - }; - -var swap = function( elem, options, callback, args ) { - var ret, name, - old = {}; - - // Remember the old values, and insert the new ones - for ( name in options ) { - old[ name ] = elem.style[ name ]; - elem.style[ name ] = options[ name ]; - } - - ret = callback.apply( elem, args || [] ); - - // Revert the old values - for ( name in options ) { - elem.style[ name ] = old[ name ]; - } - - return ret; -}; - - - - -function adjustCSS( elem, prop, valueParts, tween ) { - var adjusted, scale, - maxIterations = 20, - currentValue = tween ? - function() { - return tween.cur(); - } : - function() { - return jQuery.css( elem, prop, "" ); - }, - initial = currentValue(), - unit = valueParts && valueParts[ 3 ] || ( jQuery.cssNumber[ prop ] ? "" : "px" ), - - // Starting value computation is required for potential unit mismatches - initialInUnit = ( jQuery.cssNumber[ prop ] || unit !== "px" && +initial ) && - rcssNum.exec( jQuery.css( elem, prop ) ); - - if ( initialInUnit && initialInUnit[ 3 ] !== unit ) { - - // Support: Firefox <=54 - // Halve the iteration target value to prevent interference from CSS upper bounds (gh-2144) - initial = initial / 2; - - // Trust units reported by jQuery.css - unit = unit || initialInUnit[ 3 ]; - - // Iteratively approximate from a nonzero starting point - initialInUnit = +initial || 1; - - while ( maxIterations-- ) { - - // Evaluate and update our best guess (doubling guesses that zero out). - // Finish if the scale equals or crosses 1 (making the old*new product non-positive). - jQuery.style( elem, prop, initialInUnit + unit ); - if ( ( 1 - scale ) * ( 1 - ( scale = currentValue() / initial || 0.5 ) ) <= 0 ) { - maxIterations = 0; - } - initialInUnit = initialInUnit / scale; - - } - - initialInUnit = initialInUnit * 2; - jQuery.style( elem, prop, initialInUnit + unit ); - - // Make sure we update the tween properties later on - valueParts = valueParts || []; - } - - if ( valueParts ) { - initialInUnit = +initialInUnit || +initial || 0; - - // Apply relative offset (+=/-=) if specified - adjusted = valueParts[ 1 ] ? - initialInUnit + ( valueParts[ 1 ] + 1 ) * valueParts[ 2 ] : - +valueParts[ 2 ]; - if ( tween ) { - tween.unit = unit; - tween.start = initialInUnit; - tween.end = adjusted; - } - } - return adjusted; -} - - -var defaultDisplayMap = {}; - -function getDefaultDisplay( elem ) { - var temp, - doc = elem.ownerDocument, - nodeName = elem.nodeName, - display = defaultDisplayMap[ nodeName ]; - - if ( display ) { - return display; - } - - temp = doc.body.appendChild( doc.createElement( nodeName ) ); - display = jQuery.css( temp, "display" ); - - temp.parentNode.removeChild( temp ); - - if ( display === "none" ) { - display = "block"; - } - defaultDisplayMap[ nodeName ] = display; - - return display; -} - -function showHide( elements, show ) { - var display, elem, - values = [], - index = 0, - length = elements.length; - - // Determine new display value for elements that need to change - for ( ; index < length; index++ ) { - elem = elements[ index ]; - if ( !elem.style ) { - continue; - } - - display = elem.style.display; - if ( show ) { - - // Since we force visibility upon cascade-hidden elements, an immediate (and slow) - // check is required in this first loop unless we have a nonempty display value (either - // inline or about-to-be-restored) - if ( display === "none" ) { - values[ index ] = dataPriv.get( elem, "display" ) || null; - if ( !values[ index ] ) { - elem.style.display = ""; - } - } - if ( elem.style.display === "" && isHiddenWithinTree( elem ) ) { - values[ index ] = getDefaultDisplay( elem ); - } - } else { - if ( display !== "none" ) { - values[ index ] = "none"; - - // Remember what we're overwriting - dataPriv.set( elem, "display", display ); - } - } - } - - // Set the display of the elements in a second loop to avoid constant reflow - for ( index = 0; index < length; index++ ) { - if ( values[ index ] != null ) { - elements[ index ].style.display = values[ index ]; - } - } - - return elements; -} - -jQuery.fn.extend( { - show: function() { - return showHide( this, true ); - }, - hide: function() { - return showHide( this ); - }, - toggle: function( state ) { - if ( typeof state === "boolean" ) { - return state ? this.show() : this.hide(); - } - - return this.each( function() { - if ( isHiddenWithinTree( this ) ) { - jQuery( this ).show(); - } else { - jQuery( this ).hide(); - } - } ); - } -} ); -var rcheckableType = ( /^(?:checkbox|radio)$/i ); - -var rtagName = ( /<([a-z][^\/\0>\x20\t\r\n\f]+)/i ); - -var rscriptType = ( /^$|^module$|\/(?:java|ecma)script/i ); - - - -// We have to close these tags to support XHTML (#13200) -var wrapMap = { - - // Support: IE <=9 only - option: [ 1, "" ], - - // XHTML parsers do not magically insert elements in the - // same way that tag soup parsers do. So we cannot shorten - // this by omitting or other required elements. - thead: [ 1, "", "
" ], - col: [ 2, "", "
" ], - tr: [ 2, "", "
" ], - td: [ 3, "", "
" ], - - _default: [ 0, "", "" ] -}; - -// Support: IE <=9 only -wrapMap.optgroup = wrapMap.option; - -wrapMap.tbody = wrapMap.tfoot = wrapMap.colgroup = wrapMap.caption = wrapMap.thead; -wrapMap.th = wrapMap.td; - - -function getAll( context, tag ) { - - // Support: IE <=9 - 11 only - // Use typeof to avoid zero-argument method invocation on host objects (#15151) - var ret; - - if ( typeof context.getElementsByTagName !== "undefined" ) { - ret = context.getElementsByTagName( tag || "*" ); - - } else if ( typeof context.querySelectorAll !== "undefined" ) { - ret = context.querySelectorAll( tag || "*" ); - - } else { - ret = []; - } - - if ( tag === undefined || tag && nodeName( context, tag ) ) { - return jQuery.merge( [ context ], ret ); - } - - return ret; -} - - -// Mark scripts as having already been evaluated -function setGlobalEval( elems, refElements ) { - var i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - dataPriv.set( - elems[ i ], - "globalEval", - !refElements || dataPriv.get( refElements[ i ], "globalEval" ) - ); - } -} - - -var rhtml = /<|&#?\w+;/; - -function buildFragment( elems, context, scripts, selection, ignored ) { - var elem, tmp, tag, wrap, contains, j, - fragment = context.createDocumentFragment(), - nodes = [], - i = 0, - l = elems.length; - - for ( ; i < l; i++ ) { - elem = elems[ i ]; - - if ( elem || elem === 0 ) { - - // Add nodes directly - if ( toType( elem ) === "object" ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, elem.nodeType ? [ elem ] : elem ); - - // Convert non-html into a text node - } else if ( !rhtml.test( elem ) ) { - nodes.push( context.createTextNode( elem ) ); - - // Convert html into DOM nodes - } else { - tmp = tmp || fragment.appendChild( context.createElement( "div" ) ); - - // Deserialize a standard representation - tag = ( rtagName.exec( elem ) || [ "", "" ] )[ 1 ].toLowerCase(); - wrap = wrapMap[ tag ] || wrapMap._default; - tmp.innerHTML = wrap[ 1 ] + jQuery.htmlPrefilter( elem ) + wrap[ 2 ]; - - // Descend through wrappers to the right content - j = wrap[ 0 ]; - while ( j-- ) { - tmp = tmp.lastChild; - } - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( nodes, tmp.childNodes ); - - // Remember the top-level container - tmp = fragment.firstChild; - - // Ensure the created nodes are orphaned (#12392) - tmp.textContent = ""; - } - } - } - - // Remove wrapper from fragment - fragment.textContent = ""; - - i = 0; - while ( ( elem = nodes[ i++ ] ) ) { - - // Skip elements already in the context collection (trac-4087) - if ( selection && jQuery.inArray( elem, selection ) > -1 ) { - if ( ignored ) { - ignored.push( elem ); - } - continue; - } - - contains = jQuery.contains( elem.ownerDocument, elem ); - - // Append to fragment - tmp = getAll( fragment.appendChild( elem ), "script" ); - - // Preserve script evaluation history - if ( contains ) { - setGlobalEval( tmp ); - } - - // Capture executables - if ( scripts ) { - j = 0; - while ( ( elem = tmp[ j++ ] ) ) { - if ( rscriptType.test( elem.type || "" ) ) { - scripts.push( elem ); - } - } - } - } - - return fragment; -} - - -( function() { - var fragment = document.createDocumentFragment(), - div = fragment.appendChild( document.createElement( "div" ) ), - input = document.createElement( "input" ); - - // Support: Android 4.0 - 4.3 only - // Check state lost if the name is set (#11217) - // Support: Windows Web Apps (WWA) - // `name` and `type` must use .setAttribute for WWA (#14901) - input.setAttribute( "type", "radio" ); - input.setAttribute( "checked", "checked" ); - input.setAttribute( "name", "t" ); - - div.appendChild( input ); - - // Support: Android <=4.1 only - // Older WebKit doesn't clone checked state correctly in fragments - support.checkClone = div.cloneNode( true ).cloneNode( true ).lastChild.checked; - - // Support: IE <=11 only - // Make sure textarea (and checkbox) defaultValue is properly cloned - div.innerHTML = ""; - support.noCloneChecked = !!div.cloneNode( true ).lastChild.defaultValue; -} )(); -var documentElement = document.documentElement; - - - -var - rkeyEvent = /^key/, - rmouseEvent = /^(?:mouse|pointer|contextmenu|drag|drop)|click/, - rtypenamespace = /^([^.]*)(?:\.(.+)|)/; - -function returnTrue() { - return true; -} - -function returnFalse() { - return false; -} - -// Support: IE <=9 only -// See #13393 for more info -function safeActiveElement() { - try { - return document.activeElement; - } catch ( err ) { } -} - -function on( elem, types, selector, data, fn, one ) { - var origFn, type; - - // Types can be a map of types/handlers - if ( typeof types === "object" ) { - - // ( types-Object, selector, data ) - if ( typeof selector !== "string" ) { - - // ( types-Object, data ) - data = data || selector; - selector = undefined; - } - for ( type in types ) { - on( elem, type, selector, data, types[ type ], one ); - } - return elem; - } - - if ( data == null && fn == null ) { - - // ( types, fn ) - fn = selector; - data = selector = undefined; - } else if ( fn == null ) { - if ( typeof selector === "string" ) { - - // ( types, selector, fn ) - fn = data; - data = undefined; - } else { - - // ( types, data, fn ) - fn = data; - data = selector; - selector = undefined; - } - } - if ( fn === false ) { - fn = returnFalse; - } else if ( !fn ) { - return elem; - } - - if ( one === 1 ) { - origFn = fn; - fn = function( event ) { - - // Can use an empty set, since event contains the info - jQuery().off( event ); - return origFn.apply( this, arguments ); - }; - - // Use same guid so caller can remove using origFn - fn.guid = origFn.guid || ( origFn.guid = jQuery.guid++ ); - } - return elem.each( function() { - jQuery.event.add( this, types, fn, data, selector ); - } ); -} - -/* - * Helper functions for managing events -- not part of the public interface. - * Props to Dean Edwards' addEvent library for many of the ideas. - */ -jQuery.event = { - - global: {}, - - add: function( elem, types, handler, data, selector ) { - - var handleObjIn, eventHandle, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.get( elem ); - - // Don't attach events to noData or text/comment nodes (but allow plain objects) - if ( !elemData ) { - return; - } - - // Caller can pass in an object of custom data in lieu of the handler - if ( handler.handler ) { - handleObjIn = handler; - handler = handleObjIn.handler; - selector = handleObjIn.selector; - } - - // Ensure that invalid selectors throw exceptions at attach time - // Evaluate against documentElement in case elem is a non-element node (e.g., document) - if ( selector ) { - jQuery.find.matchesSelector( documentElement, selector ); - } - - // Make sure that the handler has a unique ID, used to find/remove it later - if ( !handler.guid ) { - handler.guid = jQuery.guid++; - } - - // Init the element's event structure and main handler, if this is the first - if ( !( events = elemData.events ) ) { - events = elemData.events = {}; - } - if ( !( eventHandle = elemData.handle ) ) { - eventHandle = elemData.handle = function( e ) { - - // Discard the second event of a jQuery.event.trigger() and - // when an event is called after a page has unloaded - return typeof jQuery !== "undefined" && jQuery.event.triggered !== e.type ? - jQuery.event.dispatch.apply( elem, arguments ) : undefined; - }; - } - - // Handle multiple events separated by a space - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // There *must* be a type, no attaching namespace-only handlers - if ( !type ) { - continue; - } - - // If event changes its type, use the special event handlers for the changed type - special = jQuery.event.special[ type ] || {}; - - // If selector defined, determine special event api type, otherwise given type - type = ( selector ? special.delegateType : special.bindType ) || type; - - // Update special based on newly reset type - special = jQuery.event.special[ type ] || {}; - - // handleObj is passed to all event handlers - handleObj = jQuery.extend( { - type: type, - origType: origType, - data: data, - handler: handler, - guid: handler.guid, - selector: selector, - needsContext: selector && jQuery.expr.match.needsContext.test( selector ), - namespace: namespaces.join( "." ) - }, handleObjIn ); - - // Init the event handler queue if we're the first - if ( !( handlers = events[ type ] ) ) { - handlers = events[ type ] = []; - handlers.delegateCount = 0; - - // Only use addEventListener if the special events handler returns false - if ( !special.setup || - special.setup.call( elem, data, namespaces, eventHandle ) === false ) { - - if ( elem.addEventListener ) { - elem.addEventListener( type, eventHandle ); - } - } - } - - if ( special.add ) { - special.add.call( elem, handleObj ); - - if ( !handleObj.handler.guid ) { - handleObj.handler.guid = handler.guid; - } - } - - // Add to the element's handler list, delegates in front - if ( selector ) { - handlers.splice( handlers.delegateCount++, 0, handleObj ); - } else { - handlers.push( handleObj ); - } - - // Keep track of which events have ever been used, for event optimization - jQuery.event.global[ type ] = true; - } - - }, - - // Detach an event or set of events from an element - remove: function( elem, types, handler, selector, mappedTypes ) { - - var j, origCount, tmp, - events, t, handleObj, - special, handlers, type, namespaces, origType, - elemData = dataPriv.hasData( elem ) && dataPriv.get( elem ); - - if ( !elemData || !( events = elemData.events ) ) { - return; - } - - // Once for each type.namespace in types; type may be omitted - types = ( types || "" ).match( rnothtmlwhite ) || [ "" ]; - t = types.length; - while ( t-- ) { - tmp = rtypenamespace.exec( types[ t ] ) || []; - type = origType = tmp[ 1 ]; - namespaces = ( tmp[ 2 ] || "" ).split( "." ).sort(); - - // Unbind all events (on this namespace, if provided) for the element - if ( !type ) { - for ( type in events ) { - jQuery.event.remove( elem, type + types[ t ], handler, selector, true ); - } - continue; - } - - special = jQuery.event.special[ type ] || {}; - type = ( selector ? special.delegateType : special.bindType ) || type; - handlers = events[ type ] || []; - tmp = tmp[ 2 ] && - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ); - - // Remove matching events - origCount = j = handlers.length; - while ( j-- ) { - handleObj = handlers[ j ]; - - if ( ( mappedTypes || origType === handleObj.origType ) && - ( !handler || handler.guid === handleObj.guid ) && - ( !tmp || tmp.test( handleObj.namespace ) ) && - ( !selector || selector === handleObj.selector || - selector === "**" && handleObj.selector ) ) { - handlers.splice( j, 1 ); - - if ( handleObj.selector ) { - handlers.delegateCount--; - } - if ( special.remove ) { - special.remove.call( elem, handleObj ); - } - } - } - - // Remove generic event handler if we removed something and no more handlers exist - // (avoids potential for endless recursion during removal of special event handlers) - if ( origCount && !handlers.length ) { - if ( !special.teardown || - special.teardown.call( elem, namespaces, elemData.handle ) === false ) { - - jQuery.removeEvent( elem, type, elemData.handle ); - } - - delete events[ type ]; - } - } - - // Remove data and the expando if it's no longer used - if ( jQuery.isEmptyObject( events ) ) { - dataPriv.remove( elem, "handle events" ); - } - }, - - dispatch: function( nativeEvent ) { - - // Make a writable jQuery.Event from the native event object - var event = jQuery.event.fix( nativeEvent ); - - var i, j, ret, matched, handleObj, handlerQueue, - args = new Array( arguments.length ), - handlers = ( dataPriv.get( this, "events" ) || {} )[ event.type ] || [], - special = jQuery.event.special[ event.type ] || {}; - - // Use the fix-ed jQuery.Event rather than the (read-only) native event - args[ 0 ] = event; - - for ( i = 1; i < arguments.length; i++ ) { - args[ i ] = arguments[ i ]; - } - - event.delegateTarget = this; - - // Call the preDispatch hook for the mapped type, and let it bail if desired - if ( special.preDispatch && special.preDispatch.call( this, event ) === false ) { - return; - } - - // Determine handlers - handlerQueue = jQuery.event.handlers.call( this, event, handlers ); - - // Run delegates first; they may want to stop propagation beneath us - i = 0; - while ( ( matched = handlerQueue[ i++ ] ) && !event.isPropagationStopped() ) { - event.currentTarget = matched.elem; - - j = 0; - while ( ( handleObj = matched.handlers[ j++ ] ) && - !event.isImmediatePropagationStopped() ) { - - // Triggered event must either 1) have no namespace, or 2) have namespace(s) - // a subset or equal to those in the bound event (both can have no namespace). - if ( !event.rnamespace || event.rnamespace.test( handleObj.namespace ) ) { - - event.handleObj = handleObj; - event.data = handleObj.data; - - ret = ( ( jQuery.event.special[ handleObj.origType ] || {} ).handle || - handleObj.handler ).apply( matched.elem, args ); - - if ( ret !== undefined ) { - if ( ( event.result = ret ) === false ) { - event.preventDefault(); - event.stopPropagation(); - } - } - } - } - } - - // Call the postDispatch hook for the mapped type - if ( special.postDispatch ) { - special.postDispatch.call( this, event ); - } - - return event.result; - }, - - handlers: function( event, handlers ) { - var i, handleObj, sel, matchedHandlers, matchedSelectors, - handlerQueue = [], - delegateCount = handlers.delegateCount, - cur = event.target; - - // Find delegate handlers - if ( delegateCount && - - // Support: IE <=9 - // Black-hole SVG instance trees (trac-13180) - cur.nodeType && - - // Support: Firefox <=42 - // Suppress spec-violating clicks indicating a non-primary pointer button (trac-3861) - // https://www.w3.org/TR/DOM-Level-3-Events/#event-type-click - // Support: IE 11 only - // ...but not arrow key "clicks" of radio inputs, which can have `button` -1 (gh-2343) - !( event.type === "click" && event.button >= 1 ) ) { - - for ( ; cur !== this; cur = cur.parentNode || this ) { - - // Don't check non-elements (#13208) - // Don't process clicks on disabled elements (#6911, #8165, #11382, #11764) - if ( cur.nodeType === 1 && !( event.type === "click" && cur.disabled === true ) ) { - matchedHandlers = []; - matchedSelectors = {}; - for ( i = 0; i < delegateCount; i++ ) { - handleObj = handlers[ i ]; - - // Don't conflict with Object.prototype properties (#13203) - sel = handleObj.selector + " "; - - if ( matchedSelectors[ sel ] === undefined ) { - matchedSelectors[ sel ] = handleObj.needsContext ? - jQuery( sel, this ).index( cur ) > -1 : - jQuery.find( sel, this, null, [ cur ] ).length; - } - if ( matchedSelectors[ sel ] ) { - matchedHandlers.push( handleObj ); - } - } - if ( matchedHandlers.length ) { - handlerQueue.push( { elem: cur, handlers: matchedHandlers } ); - } - } - } - } - - // Add the remaining (directly-bound) handlers - cur = this; - if ( delegateCount < handlers.length ) { - handlerQueue.push( { elem: cur, handlers: handlers.slice( delegateCount ) } ); - } - - return handlerQueue; - }, - - addProp: function( name, hook ) { - Object.defineProperty( jQuery.Event.prototype, name, { - enumerable: true, - configurable: true, - - get: isFunction( hook ) ? - function() { - if ( this.originalEvent ) { - return hook( this.originalEvent ); - } - } : - function() { - if ( this.originalEvent ) { - return this.originalEvent[ name ]; - } - }, - - set: function( value ) { - Object.defineProperty( this, name, { - enumerable: true, - configurable: true, - writable: true, - value: value - } ); - } - } ); - }, - - fix: function( originalEvent ) { - return originalEvent[ jQuery.expando ] ? - originalEvent : - new jQuery.Event( originalEvent ); - }, - - special: { - load: { - - // Prevent triggered image.load events from bubbling to window.load - noBubble: true - }, - focus: { - - // Fire native event if possible so blur/focus sequence is correct - trigger: function() { - if ( this !== safeActiveElement() && this.focus ) { - this.focus(); - return false; - } - }, - delegateType: "focusin" - }, - blur: { - trigger: function() { - if ( this === safeActiveElement() && this.blur ) { - this.blur(); - return false; - } - }, - delegateType: "focusout" - }, - click: { - - // For checkbox, fire native event so checked state will be right - trigger: function() { - if ( this.type === "checkbox" && this.click && nodeName( this, "input" ) ) { - this.click(); - return false; - } - }, - - // For cross-browser consistency, don't fire native .click() on links - _default: function( event ) { - return nodeName( event.target, "a" ); - } - }, - - beforeunload: { - postDispatch: function( event ) { - - // Support: Firefox 20+ - // Firefox doesn't alert if the returnValue field is not set. - if ( event.result !== undefined && event.originalEvent ) { - event.originalEvent.returnValue = event.result; - } - } - } - } -}; - -jQuery.removeEvent = function( elem, type, handle ) { - - // This "if" is needed for plain objects - if ( elem.removeEventListener ) { - elem.removeEventListener( type, handle ); - } -}; - -jQuery.Event = function( src, props ) { - - // Allow instantiation without the 'new' keyword - if ( !( this instanceof jQuery.Event ) ) { - return new jQuery.Event( src, props ); - } - - // Event object - if ( src && src.type ) { - this.originalEvent = src; - this.type = src.type; - - // Events bubbling up the document may have been marked as prevented - // by a handler lower down the tree; reflect the correct value. - this.isDefaultPrevented = src.defaultPrevented || - src.defaultPrevented === undefined && - - // Support: Android <=2.3 only - src.returnValue === false ? - returnTrue : - returnFalse; - - // Create target properties - // Support: Safari <=6 - 7 only - // Target should not be a text node (#504, #13143) - this.target = ( src.target && src.target.nodeType === 3 ) ? - src.target.parentNode : - src.target; - - this.currentTarget = src.currentTarget; - this.relatedTarget = src.relatedTarget; - - // Event type - } else { - this.type = src; - } - - // Put explicitly provided properties onto the event object - if ( props ) { - jQuery.extend( this, props ); - } - - // Create a timestamp if incoming event doesn't have one - this.timeStamp = src && src.timeStamp || Date.now(); - - // Mark it as fixed - this[ jQuery.expando ] = true; -}; - -// jQuery.Event is based on DOM3 Events as specified by the ECMAScript Language Binding -// https://www.w3.org/TR/2003/WD-DOM-Level-3-Events-20030331/ecma-script-binding.html -jQuery.Event.prototype = { - constructor: jQuery.Event, - isDefaultPrevented: returnFalse, - isPropagationStopped: returnFalse, - isImmediatePropagationStopped: returnFalse, - isSimulated: false, - - preventDefault: function() { - var e = this.originalEvent; - - this.isDefaultPrevented = returnTrue; - - if ( e && !this.isSimulated ) { - e.preventDefault(); - } - }, - stopPropagation: function() { - var e = this.originalEvent; - - this.isPropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopPropagation(); - } - }, - stopImmediatePropagation: function() { - var e = this.originalEvent; - - this.isImmediatePropagationStopped = returnTrue; - - if ( e && !this.isSimulated ) { - e.stopImmediatePropagation(); - } - - this.stopPropagation(); - } -}; - -// Includes all common event props including KeyEvent and MouseEvent specific props -jQuery.each( { - altKey: true, - bubbles: true, - cancelable: true, - changedTouches: true, - ctrlKey: true, - detail: true, - eventPhase: true, - metaKey: true, - pageX: true, - pageY: true, - shiftKey: true, - view: true, - "char": true, - charCode: true, - key: true, - keyCode: true, - button: true, - buttons: true, - clientX: true, - clientY: true, - offsetX: true, - offsetY: true, - pointerId: true, - pointerType: true, - screenX: true, - screenY: true, - targetTouches: true, - toElement: true, - touches: true, - - which: function( event ) { - var button = event.button; - - // Add which for key events - if ( event.which == null && rkeyEvent.test( event.type ) ) { - return event.charCode != null ? event.charCode : event.keyCode; - } - - // Add which for click: 1 === left; 2 === middle; 3 === right - if ( !event.which && button !== undefined && rmouseEvent.test( event.type ) ) { - if ( button & 1 ) { - return 1; - } - - if ( button & 2 ) { - return 3; - } - - if ( button & 4 ) { - return 2; - } - - return 0; - } - - return event.which; - } -}, jQuery.event.addProp ); - -// Create mouseenter/leave events using mouseover/out and event-time checks -// so that event delegation works in jQuery. -// Do the same for pointerenter/pointerleave and pointerover/pointerout -// -// Support: Safari 7 only -// Safari sends mouseenter too often; see: -// https://bugs.chromium.org/p/chromium/issues/detail?id=470258 -// for the description of the bug (it existed in older Chrome versions as well). -jQuery.each( { - mouseenter: "mouseover", - mouseleave: "mouseout", - pointerenter: "pointerover", - pointerleave: "pointerout" -}, function( orig, fix ) { - jQuery.event.special[ orig ] = { - delegateType: fix, - bindType: fix, - - handle: function( event ) { - var ret, - target = this, - related = event.relatedTarget, - handleObj = event.handleObj; - - // For mouseenter/leave call the handler if related is outside the target. - // NB: No relatedTarget if the mouse left/entered the browser window - if ( !related || ( related !== target && !jQuery.contains( target, related ) ) ) { - event.type = handleObj.origType; - ret = handleObj.handler.apply( this, arguments ); - event.type = fix; - } - return ret; - } - }; -} ); - -jQuery.fn.extend( { - - on: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn ); - }, - one: function( types, selector, data, fn ) { - return on( this, types, selector, data, fn, 1 ); - }, - off: function( types, selector, fn ) { - var handleObj, type; - if ( types && types.preventDefault && types.handleObj ) { - - // ( event ) dispatched jQuery.Event - handleObj = types.handleObj; - jQuery( types.delegateTarget ).off( - handleObj.namespace ? - handleObj.origType + "." + handleObj.namespace : - handleObj.origType, - handleObj.selector, - handleObj.handler - ); - return this; - } - if ( typeof types === "object" ) { - - // ( types-object [, selector] ) - for ( type in types ) { - this.off( type, selector, types[ type ] ); - } - return this; - } - if ( selector === false || typeof selector === "function" ) { - - // ( types [, fn] ) - fn = selector; - selector = undefined; - } - if ( fn === false ) { - fn = returnFalse; - } - return this.each( function() { - jQuery.event.remove( this, types, fn, selector ); - } ); - } -} ); - - -var - - /* eslint-disable max-len */ - - // See https://github.com/eslint/eslint/issues/3229 - rxhtmlTag = /<(?!area|br|col|embed|hr|img|input|link|meta|param)(([a-z][^\/\0>\x20\t\r\n\f]*)[^>]*)\/>/gi, - - /* eslint-enable */ - - // Support: IE <=10 - 11, Edge 12 - 13 only - // In IE/Edge using regex groups here causes severe slowdowns. - // See https://connect.microsoft.com/IE/feedback/details/1736512/ - rnoInnerhtml = /\s*$/g; - -// Prefer a tbody over its parent table for containing new rows -function manipulationTarget( elem, content ) { - if ( nodeName( elem, "table" ) && - nodeName( content.nodeType !== 11 ? content : content.firstChild, "tr" ) ) { - - return jQuery( elem ).children( "tbody" )[ 0 ] || elem; - } - - return elem; -} - -// Replace/restore the type attribute of script elements for safe DOM manipulation -function disableScript( elem ) { - elem.type = ( elem.getAttribute( "type" ) !== null ) + "/" + elem.type; - return elem; -} -function restoreScript( elem ) { - if ( ( elem.type || "" ).slice( 0, 5 ) === "true/" ) { - elem.type = elem.type.slice( 5 ); - } else { - elem.removeAttribute( "type" ); - } - - return elem; -} - -function cloneCopyEvent( src, dest ) { - var i, l, type, pdataOld, pdataCur, udataOld, udataCur, events; - - if ( dest.nodeType !== 1 ) { - return; - } - - // 1. Copy private data: events, handlers, etc. - if ( dataPriv.hasData( src ) ) { - pdataOld = dataPriv.access( src ); - pdataCur = dataPriv.set( dest, pdataOld ); - events = pdataOld.events; - - if ( events ) { - delete pdataCur.handle; - pdataCur.events = {}; - - for ( type in events ) { - for ( i = 0, l = events[ type ].length; i < l; i++ ) { - jQuery.event.add( dest, type, events[ type ][ i ] ); - } - } - } - } - - // 2. Copy user data - if ( dataUser.hasData( src ) ) { - udataOld = dataUser.access( src ); - udataCur = jQuery.extend( {}, udataOld ); - - dataUser.set( dest, udataCur ); - } -} - -// Fix IE bugs, see support tests -function fixInput( src, dest ) { - var nodeName = dest.nodeName.toLowerCase(); - - // Fails to persist the checked state of a cloned checkbox or radio button. - if ( nodeName === "input" && rcheckableType.test( src.type ) ) { - dest.checked = src.checked; - - // Fails to return the selected option to the default selected state when cloning options - } else if ( nodeName === "input" || nodeName === "textarea" ) { - dest.defaultValue = src.defaultValue; - } -} - -function domManip( collection, args, callback, ignored ) { - - // Flatten any nested arrays - args = concat.apply( [], args ); - - var fragment, first, scripts, hasScripts, node, doc, - i = 0, - l = collection.length, - iNoClone = l - 1, - value = args[ 0 ], - valueIsFunction = isFunction( value ); - - // We can't cloneNode fragments that contain checked, in WebKit - if ( valueIsFunction || - ( l > 1 && typeof value === "string" && - !support.checkClone && rchecked.test( value ) ) ) { - return collection.each( function( index ) { - var self = collection.eq( index ); - if ( valueIsFunction ) { - args[ 0 ] = value.call( this, index, self.html() ); - } - domManip( self, args, callback, ignored ); - } ); - } - - if ( l ) { - fragment = buildFragment( args, collection[ 0 ].ownerDocument, false, collection, ignored ); - first = fragment.firstChild; - - if ( fragment.childNodes.length === 1 ) { - fragment = first; - } - - // Require either new content or an interest in ignored elements to invoke the callback - if ( first || ignored ) { - scripts = jQuery.map( getAll( fragment, "script" ), disableScript ); - hasScripts = scripts.length; - - // Use the original fragment for the last item - // instead of the first because it can end up - // being emptied incorrectly in certain situations (#8070). - for ( ; i < l; i++ ) { - node = fragment; - - if ( i !== iNoClone ) { - node = jQuery.clone( node, true, true ); - - // Keep references to cloned scripts for later restoration - if ( hasScripts ) { - - // Support: Android <=4.0 only, PhantomJS 1 only - // push.apply(_, arraylike) throws on ancient WebKit - jQuery.merge( scripts, getAll( node, "script" ) ); - } - } - - callback.call( collection[ i ], node, i ); - } - - if ( hasScripts ) { - doc = scripts[ scripts.length - 1 ].ownerDocument; - - // Reenable scripts - jQuery.map( scripts, restoreScript ); - - // Evaluate executable scripts on first document insertion - for ( i = 0; i < hasScripts; i++ ) { - node = scripts[ i ]; - if ( rscriptType.test( node.type || "" ) && - !dataPriv.access( node, "globalEval" ) && - jQuery.contains( doc, node ) ) { - - if ( node.src && ( node.type || "" ).toLowerCase() !== "module" ) { - - // Optional AJAX dependency, but won't run scripts if not present - if ( jQuery._evalUrl ) { - jQuery._evalUrl( node.src ); - } - } else { - DOMEval( node.textContent.replace( rcleanScript, "" ), doc, node ); - } - } - } - } - } - } - - return collection; -} - -function remove( elem, selector, keepData ) { - var node, - nodes = selector ? jQuery.filter( selector, elem ) : elem, - i = 0; - - for ( ; ( node = nodes[ i ] ) != null; i++ ) { - if ( !keepData && node.nodeType === 1 ) { - jQuery.cleanData( getAll( node ) ); - } - - if ( node.parentNode ) { - if ( keepData && jQuery.contains( node.ownerDocument, node ) ) { - setGlobalEval( getAll( node, "script" ) ); - } - node.parentNode.removeChild( node ); - } - } - - return elem; -} - -jQuery.extend( { - htmlPrefilter: function( html ) { - return html.replace( rxhtmlTag, "<$1>" ); - }, - - clone: function( elem, dataAndEvents, deepDataAndEvents ) { - var i, l, srcElements, destElements, - clone = elem.cloneNode( true ), - inPage = jQuery.contains( elem.ownerDocument, elem ); - - // Fix IE cloning issues - if ( !support.noCloneChecked && ( elem.nodeType === 1 || elem.nodeType === 11 ) && - !jQuery.isXMLDoc( elem ) ) { - - // We eschew Sizzle here for performance reasons: https://jsperf.com/getall-vs-sizzle/2 - destElements = getAll( clone ); - srcElements = getAll( elem ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - fixInput( srcElements[ i ], destElements[ i ] ); - } - } - - // Copy the events from the original to the clone - if ( dataAndEvents ) { - if ( deepDataAndEvents ) { - srcElements = srcElements || getAll( elem ); - destElements = destElements || getAll( clone ); - - for ( i = 0, l = srcElements.length; i < l; i++ ) { - cloneCopyEvent( srcElements[ i ], destElements[ i ] ); - } - } else { - cloneCopyEvent( elem, clone ); - } - } - - // Preserve script evaluation history - destElements = getAll( clone, "script" ); - if ( destElements.length > 0 ) { - setGlobalEval( destElements, !inPage && getAll( elem, "script" ) ); - } - - // Return the cloned set - return clone; - }, - - cleanData: function( elems ) { - var data, elem, type, - special = jQuery.event.special, - i = 0; - - for ( ; ( elem = elems[ i ] ) !== undefined; i++ ) { - if ( acceptData( elem ) ) { - if ( ( data = elem[ dataPriv.expando ] ) ) { - if ( data.events ) { - for ( type in data.events ) { - if ( special[ type ] ) { - jQuery.event.remove( elem, type ); - - // This is a shortcut to avoid jQuery.event.remove's overhead - } else { - jQuery.removeEvent( elem, type, data.handle ); - } - } - } - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataPriv.expando ] = undefined; - } - if ( elem[ dataUser.expando ] ) { - - // Support: Chrome <=35 - 45+ - // Assign undefined instead of using delete, see Data#remove - elem[ dataUser.expando ] = undefined; - } - } - } - } -} ); - -jQuery.fn.extend( { - detach: function( selector ) { - return remove( this, selector, true ); - }, - - remove: function( selector ) { - return remove( this, selector ); - }, - - text: function( value ) { - return access( this, function( value ) { - return value === undefined ? - jQuery.text( this ) : - this.empty().each( function() { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - this.textContent = value; - } - } ); - }, null, value, arguments.length ); - }, - - append: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.appendChild( elem ); - } - } ); - }, - - prepend: function() { - return domManip( this, arguments, function( elem ) { - if ( this.nodeType === 1 || this.nodeType === 11 || this.nodeType === 9 ) { - var target = manipulationTarget( this, elem ); - target.insertBefore( elem, target.firstChild ); - } - } ); - }, - - before: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this ); - } - } ); - }, - - after: function() { - return domManip( this, arguments, function( elem ) { - if ( this.parentNode ) { - this.parentNode.insertBefore( elem, this.nextSibling ); - } - } ); - }, - - empty: function() { - var elem, - i = 0; - - for ( ; ( elem = this[ i ] ) != null; i++ ) { - if ( elem.nodeType === 1 ) { - - // Prevent memory leaks - jQuery.cleanData( getAll( elem, false ) ); - - // Remove any remaining nodes - elem.textContent = ""; - } - } - - return this; - }, - - clone: function( dataAndEvents, deepDataAndEvents ) { - dataAndEvents = dataAndEvents == null ? false : dataAndEvents; - deepDataAndEvents = deepDataAndEvents == null ? dataAndEvents : deepDataAndEvents; - - return this.map( function() { - return jQuery.clone( this, dataAndEvents, deepDataAndEvents ); - } ); - }, - - html: function( value ) { - return access( this, function( value ) { - var elem = this[ 0 ] || {}, - i = 0, - l = this.length; - - if ( value === undefined && elem.nodeType === 1 ) { - return elem.innerHTML; - } - - // See if we can take a shortcut and just use innerHTML - if ( typeof value === "string" && !rnoInnerhtml.test( value ) && - !wrapMap[ ( rtagName.exec( value ) || [ "", "" ] )[ 1 ].toLowerCase() ] ) { - - value = jQuery.htmlPrefilter( value ); - - try { - for ( ; i < l; i++ ) { - elem = this[ i ] || {}; - - // Remove element nodes and prevent memory leaks - if ( elem.nodeType === 1 ) { - jQuery.cleanData( getAll( elem, false ) ); - elem.innerHTML = value; - } - } - - elem = 0; - - // If using innerHTML throws an exception, use the fallback method - } catch ( e ) {} - } - - if ( elem ) { - this.empty().append( value ); - } - }, null, value, arguments.length ); - }, - - replaceWith: function() { - var ignored = []; - - // Make the changes, replacing each non-ignored context element with the new content - return domManip( this, arguments, function( elem ) { - var parent = this.parentNode; - - if ( jQuery.inArray( this, ignored ) < 0 ) { - jQuery.cleanData( getAll( this ) ); - if ( parent ) { - parent.replaceChild( elem, this ); - } - } - - // Force callback invocation - }, ignored ); - } -} ); - -jQuery.each( { - appendTo: "append", - prependTo: "prepend", - insertBefore: "before", - insertAfter: "after", - replaceAll: "replaceWith" -}, function( name, original ) { - jQuery.fn[ name ] = function( selector ) { - var elems, - ret = [], - insert = jQuery( selector ), - last = insert.length - 1, - i = 0; - - for ( ; i <= last; i++ ) { - elems = i === last ? this : this.clone( true ); - jQuery( insert[ i ] )[ original ]( elems ); - - // Support: Android <=4.0 only, PhantomJS 1 only - // .get() because push.apply(_, arraylike) throws on ancient WebKit - push.apply( ret, elems.get() ); - } - - return this.pushStack( ret ); - }; -} ); -var rnumnonpx = new RegExp( "^(" + pnum + ")(?!px)[a-z%]+$", "i" ); - -var getStyles = function( elem ) { - - // Support: IE <=11 only, Firefox <=30 (#15098, #14150) - // IE throws on elements created in popups - // FF meanwhile throws on frame elements through "defaultView.getComputedStyle" - var view = elem.ownerDocument.defaultView; - - if ( !view || !view.opener ) { - view = window; - } - - return view.getComputedStyle( elem ); - }; - -var rboxStyle = new RegExp( cssExpand.join( "|" ), "i" ); - - - -( function() { - - // Executing both pixelPosition & boxSizingReliable tests require only one layout - // so they're executed at the same time to save the second computation. - function computeStyleTests() { - - // This is a singleton, we need to execute it only once - if ( !div ) { - return; - } - - container.style.cssText = "position:absolute;left:-11111px;width:60px;" + - "margin-top:1px;padding:0;border:0"; - div.style.cssText = - "position:relative;display:block;box-sizing:border-box;overflow:scroll;" + - "margin:auto;border:1px;padding:1px;" + - "width:60%;top:1%"; - documentElement.appendChild( container ).appendChild( div ); - - var divStyle = window.getComputedStyle( div ); - pixelPositionVal = divStyle.top !== "1%"; - - // Support: Android 4.0 - 4.3 only, Firefox <=3 - 44 - reliableMarginLeftVal = roundPixelMeasures( divStyle.marginLeft ) === 12; - - // Support: Android 4.0 - 4.3 only, Safari <=9.1 - 10.1, iOS <=7.0 - 9.3 - // Some styles come back with percentage values, even though they shouldn't - div.style.right = "60%"; - pixelBoxStylesVal = roundPixelMeasures( divStyle.right ) === 36; - - // Support: IE 9 - 11 only - // Detect misreporting of content dimensions for box-sizing:border-box elements - boxSizingReliableVal = roundPixelMeasures( divStyle.width ) === 36; - - // Support: IE 9 only - // Detect overflow:scroll screwiness (gh-3699) - div.style.position = "absolute"; - scrollboxSizeVal = div.offsetWidth === 36 || "absolute"; - - documentElement.removeChild( container ); - - // Nullify the div so it wouldn't be stored in the memory and - // it will also be a sign that checks already performed - div = null; - } - - function roundPixelMeasures( measure ) { - return Math.round( parseFloat( measure ) ); - } - - var pixelPositionVal, boxSizingReliableVal, scrollboxSizeVal, pixelBoxStylesVal, - reliableMarginLeftVal, - container = document.createElement( "div" ), - div = document.createElement( "div" ); - - // Finish early in limited (non-browser) environments - if ( !div.style ) { - return; - } - - // Support: IE <=9 - 11 only - // Style of cloned element affects source element cloned (#8908) - div.style.backgroundClip = "content-box"; - div.cloneNode( true ).style.backgroundClip = ""; - support.clearCloneStyle = div.style.backgroundClip === "content-box"; - - jQuery.extend( support, { - boxSizingReliable: function() { - computeStyleTests(); - return boxSizingReliableVal; - }, - pixelBoxStyles: function() { - computeStyleTests(); - return pixelBoxStylesVal; - }, - pixelPosition: function() { - computeStyleTests(); - return pixelPositionVal; - }, - reliableMarginLeft: function() { - computeStyleTests(); - return reliableMarginLeftVal; - }, - scrollboxSize: function() { - computeStyleTests(); - return scrollboxSizeVal; - } - } ); -} )(); - - -function curCSS( elem, name, computed ) { - var width, minWidth, maxWidth, ret, - - // Support: Firefox 51+ - // Retrieving style before computed somehow - // fixes an issue with getting wrong values - // on detached elements - style = elem.style; - - computed = computed || getStyles( elem ); - - // getPropertyValue is needed for: - // .css('filter') (IE 9 only, #12537) - // .css('--customProperty) (#3144) - if ( computed ) { - ret = computed.getPropertyValue( name ) || computed[ name ]; - - if ( ret === "" && !jQuery.contains( elem.ownerDocument, elem ) ) { - ret = jQuery.style( elem, name ); - } - - // A tribute to the "awesome hack by Dean Edwards" - // Android Browser returns percentage for some values, - // but width seems to be reliably pixels. - // This is against the CSSOM draft spec: - // https://drafts.csswg.org/cssom/#resolved-values - if ( !support.pixelBoxStyles() && rnumnonpx.test( ret ) && rboxStyle.test( name ) ) { - - // Remember the original values - width = style.width; - minWidth = style.minWidth; - maxWidth = style.maxWidth; - - // Put in the new values to get a computed value out - style.minWidth = style.maxWidth = style.width = ret; - ret = computed.width; - - // Revert the changed values - style.width = width; - style.minWidth = minWidth; - style.maxWidth = maxWidth; - } - } - - return ret !== undefined ? - - // Support: IE <=9 - 11 only - // IE returns zIndex value as an integer. - ret + "" : - ret; -} - - -function addGetHookIf( conditionFn, hookFn ) { - - // Define the hook, we'll check on the first run if it's really needed. - return { - get: function() { - if ( conditionFn() ) { - - // Hook not needed (or it's not possible to use it due - // to missing dependency), remove it. - delete this.get; - return; - } - - // Hook needed; redefine it so that the support test is not executed again. - return ( this.get = hookFn ).apply( this, arguments ); - } - }; -} - - -var - - // Swappable if display is none or starts with table - // except "table", "table-cell", or "table-caption" - // See here for display values: https://developer.mozilla.org/en-US/docs/CSS/display - rdisplayswap = /^(none|table(?!-c[ea]).+)/, - rcustomProp = /^--/, - cssShow = { position: "absolute", visibility: "hidden", display: "block" }, - cssNormalTransform = { - letterSpacing: "0", - fontWeight: "400" - }, - - cssPrefixes = [ "Webkit", "Moz", "ms" ], - emptyStyle = document.createElement( "div" ).style; - -// Return a css property mapped to a potentially vendor prefixed property -function vendorPropName( name ) { - - // Shortcut for names that are not vendor prefixed - if ( name in emptyStyle ) { - return name; - } - - // Check for vendor prefixed names - var capName = name[ 0 ].toUpperCase() + name.slice( 1 ), - i = cssPrefixes.length; - - while ( i-- ) { - name = cssPrefixes[ i ] + capName; - if ( name in emptyStyle ) { - return name; - } - } -} - -// Return a property mapped along what jQuery.cssProps suggests or to -// a vendor prefixed property. -function finalPropName( name ) { - var ret = jQuery.cssProps[ name ]; - if ( !ret ) { - ret = jQuery.cssProps[ name ] = vendorPropName( name ) || name; - } - return ret; -} - -function setPositiveNumber( elem, value, subtract ) { - - // Any relative (+/-) values have already been - // normalized at this point - var matches = rcssNum.exec( value ); - return matches ? - - // Guard against undefined "subtract", e.g., when used as in cssHooks - Math.max( 0, matches[ 2 ] - ( subtract || 0 ) ) + ( matches[ 3 ] || "px" ) : - value; -} - -function boxModelAdjustment( elem, dimension, box, isBorderBox, styles, computedVal ) { - var i = dimension === "width" ? 1 : 0, - extra = 0, - delta = 0; - - // Adjustment may not be necessary - if ( box === ( isBorderBox ? "border" : "content" ) ) { - return 0; - } - - for ( ; i < 4; i += 2 ) { - - // Both box models exclude margin - if ( box === "margin" ) { - delta += jQuery.css( elem, box + cssExpand[ i ], true, styles ); - } - - // If we get here with a content-box, we're seeking "padding" or "border" or "margin" - if ( !isBorderBox ) { - - // Add padding - delta += jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - - // For "border" or "margin", add border - if ( box !== "padding" ) { - delta += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - - // But still keep track of it otherwise - } else { - extra += jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - - // If we get here with a border-box (content + padding + border), we're seeking "content" or - // "padding" or "margin" - } else { - - // For "content", subtract padding - if ( box === "content" ) { - delta -= jQuery.css( elem, "padding" + cssExpand[ i ], true, styles ); - } - - // For "content" or "padding", subtract border - if ( box !== "margin" ) { - delta -= jQuery.css( elem, "border" + cssExpand[ i ] + "Width", true, styles ); - } - } - } - - // Account for positive content-box scroll gutter when requested by providing computedVal - if ( !isBorderBox && computedVal >= 0 ) { - - // offsetWidth/offsetHeight is a rounded sum of content, padding, scroll gutter, and border - // Assuming integer scroll gutter, subtract the rest and round down - delta += Math.max( 0, Math.ceil( - elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - - computedVal - - delta - - extra - - 0.5 - ) ); - } - - return delta; -} - -function getWidthOrHeight( elem, dimension, extra ) { - - // Start with computed style - var styles = getStyles( elem ), - val = curCSS( elem, dimension, styles ), - isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box", - valueIsBorderBox = isBorderBox; - - // Support: Firefox <=54 - // Return a confounding non-pixel value or feign ignorance, as appropriate. - if ( rnumnonpx.test( val ) ) { - if ( !extra ) { - return val; - } - val = "auto"; - } - - // Check for style in case a browser which returns unreliable values - // for getComputedStyle silently falls back to the reliable elem.style - valueIsBorderBox = valueIsBorderBox && - ( support.boxSizingReliable() || val === elem.style[ dimension ] ); - - // Fall back to offsetWidth/offsetHeight when value is "auto" - // This happens for inline elements with no explicit setting (gh-3571) - // Support: Android <=4.1 - 4.3 only - // Also use offsetWidth/offsetHeight for misreported inline dimensions (gh-3602) - if ( val === "auto" || - !parseFloat( val ) && jQuery.css( elem, "display", false, styles ) === "inline" ) { - - val = elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ]; - - // offsetWidth/offsetHeight provide border-box values - valueIsBorderBox = true; - } - - // Normalize "" and auto - val = parseFloat( val ) || 0; - - // Adjust for the element's box model - return ( val + - boxModelAdjustment( - elem, - dimension, - extra || ( isBorderBox ? "border" : "content" ), - valueIsBorderBox, - styles, - - // Provide the current computed size to request scroll gutter calculation (gh-3589) - val - ) - ) + "px"; -} - -jQuery.extend( { - - // Add in style property hooks for overriding the default - // behavior of getting and setting a style property - cssHooks: { - opacity: { - get: function( elem, computed ) { - if ( computed ) { - - // We should always get a number back from opacity - var ret = curCSS( elem, "opacity" ); - return ret === "" ? "1" : ret; - } - } - } - }, - - // Don't automatically add "px" to these possibly-unitless properties - cssNumber: { - "animationIterationCount": true, - "columnCount": true, - "fillOpacity": true, - "flexGrow": true, - "flexShrink": true, - "fontWeight": true, - "lineHeight": true, - "opacity": true, - "order": true, - "orphans": true, - "widows": true, - "zIndex": true, - "zoom": true - }, - - // Add in properties whose names you wish to fix before - // setting or getting the value - cssProps: {}, - - // Get and set the style property on a DOM Node - style: function( elem, name, value, extra ) { - - // Don't set styles on text and comment nodes - if ( !elem || elem.nodeType === 3 || elem.nodeType === 8 || !elem.style ) { - return; - } - - // Make sure that we're working with the right name - var ret, type, hooks, - origName = camelCase( name ), - isCustomProp = rcustomProp.test( name ), - style = elem.style; - - // Make sure that we're working with the right name. We don't - // want to query the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Gets hook for the prefixed version, then unprefixed version - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // Check if we're setting a value - if ( value !== undefined ) { - type = typeof value; - - // Convert "+=" or "-=" to relative numbers (#7345) - if ( type === "string" && ( ret = rcssNum.exec( value ) ) && ret[ 1 ] ) { - value = adjustCSS( elem, name, ret ); - - // Fixes bug #9237 - type = "number"; - } - - // Make sure that null and NaN values aren't set (#7116) - if ( value == null || value !== value ) { - return; - } - - // If a number was passed in, add the unit (except for certain CSS properties) - if ( type === "number" ) { - value += ret && ret[ 3 ] || ( jQuery.cssNumber[ origName ] ? "" : "px" ); - } - - // background-* props affect original clone's values - if ( !support.clearCloneStyle && value === "" && name.indexOf( "background" ) === 0 ) { - style[ name ] = "inherit"; - } - - // If a hook was provided, use that value, otherwise just set the specified value - if ( !hooks || !( "set" in hooks ) || - ( value = hooks.set( elem, value, extra ) ) !== undefined ) { - - if ( isCustomProp ) { - style.setProperty( name, value ); - } else { - style[ name ] = value; - } - } - - } else { - - // If a hook was provided get the non-computed value from there - if ( hooks && "get" in hooks && - ( ret = hooks.get( elem, false, extra ) ) !== undefined ) { - - return ret; - } - - // Otherwise just get the value from the style object - return style[ name ]; - } - }, - - css: function( elem, name, extra, styles ) { - var val, num, hooks, - origName = camelCase( name ), - isCustomProp = rcustomProp.test( name ); - - // Make sure that we're working with the right name. We don't - // want to modify the value if it is a CSS custom property - // since they are user-defined. - if ( !isCustomProp ) { - name = finalPropName( origName ); - } - - // Try prefixed name followed by the unprefixed name - hooks = jQuery.cssHooks[ name ] || jQuery.cssHooks[ origName ]; - - // If a hook was provided get the computed value from there - if ( hooks && "get" in hooks ) { - val = hooks.get( elem, true, extra ); - } - - // Otherwise, if a way to get the computed value exists, use that - if ( val === undefined ) { - val = curCSS( elem, name, styles ); - } - - // Convert "normal" to computed value - if ( val === "normal" && name in cssNormalTransform ) { - val = cssNormalTransform[ name ]; - } - - // Make numeric if forced or a qualifier was provided and val looks numeric - if ( extra === "" || extra ) { - num = parseFloat( val ); - return extra === true || isFinite( num ) ? num || 0 : val; - } - - return val; - } -} ); - -jQuery.each( [ "height", "width" ], function( i, dimension ) { - jQuery.cssHooks[ dimension ] = { - get: function( elem, computed, extra ) { - if ( computed ) { - - // Certain elements can have dimension info if we invisibly show them - // but it must have a current display style that would benefit - return rdisplayswap.test( jQuery.css( elem, "display" ) ) && - - // Support: Safari 8+ - // Table columns in Safari have non-zero offsetWidth & zero - // getBoundingClientRect().width unless display is changed. - // Support: IE <=11 only - // Running getBoundingClientRect on a disconnected node - // in IE throws an error. - ( !elem.getClientRects().length || !elem.getBoundingClientRect().width ) ? - swap( elem, cssShow, function() { - return getWidthOrHeight( elem, dimension, extra ); - } ) : - getWidthOrHeight( elem, dimension, extra ); - } - }, - - set: function( elem, value, extra ) { - var matches, - styles = getStyles( elem ), - isBorderBox = jQuery.css( elem, "boxSizing", false, styles ) === "border-box", - subtract = extra && boxModelAdjustment( - elem, - dimension, - extra, - isBorderBox, - styles - ); - - // Account for unreliable border-box dimensions by comparing offset* to computed and - // faking a content-box to get border and padding (gh-3699) - if ( isBorderBox && support.scrollboxSize() === styles.position ) { - subtract -= Math.ceil( - elem[ "offset" + dimension[ 0 ].toUpperCase() + dimension.slice( 1 ) ] - - parseFloat( styles[ dimension ] ) - - boxModelAdjustment( elem, dimension, "border", false, styles ) - - 0.5 - ); - } - - // Convert to pixels if value adjustment is needed - if ( subtract && ( matches = rcssNum.exec( value ) ) && - ( matches[ 3 ] || "px" ) !== "px" ) { - - elem.style[ dimension ] = value; - value = jQuery.css( elem, dimension ); - } - - return setPositiveNumber( elem, value, subtract ); - } - }; -} ); - -jQuery.cssHooks.marginLeft = addGetHookIf( support.reliableMarginLeft, - function( elem, computed ) { - if ( computed ) { - return ( parseFloat( curCSS( elem, "marginLeft" ) ) || - elem.getBoundingClientRect().left - - swap( elem, { marginLeft: 0 }, function() { - return elem.getBoundingClientRect().left; - } ) - ) + "px"; - } - } -); - -// These hooks are used by animate to expand properties -jQuery.each( { - margin: "", - padding: "", - border: "Width" -}, function( prefix, suffix ) { - jQuery.cssHooks[ prefix + suffix ] = { - expand: function( value ) { - var i = 0, - expanded = {}, - - // Assumes a single number if not a string - parts = typeof value === "string" ? value.split( " " ) : [ value ]; - - for ( ; i < 4; i++ ) { - expanded[ prefix + cssExpand[ i ] + suffix ] = - parts[ i ] || parts[ i - 2 ] || parts[ 0 ]; - } - - return expanded; - } - }; - - if ( prefix !== "margin" ) { - jQuery.cssHooks[ prefix + suffix ].set = setPositiveNumber; - } -} ); - -jQuery.fn.extend( { - css: function( name, value ) { - return access( this, function( elem, name, value ) { - var styles, len, - map = {}, - i = 0; - - if ( Array.isArray( name ) ) { - styles = getStyles( elem ); - len = name.length; - - for ( ; i < len; i++ ) { - map[ name[ i ] ] = jQuery.css( elem, name[ i ], false, styles ); - } - - return map; - } - - return value !== undefined ? - jQuery.style( elem, name, value ) : - jQuery.css( elem, name ); - }, name, value, arguments.length > 1 ); - } -} ); - - -function Tween( elem, options, prop, end, easing ) { - return new Tween.prototype.init( elem, options, prop, end, easing ); -} -jQuery.Tween = Tween; - -Tween.prototype = { - constructor: Tween, - init: function( elem, options, prop, end, easing, unit ) { - this.elem = elem; - this.prop = prop; - this.easing = easing || jQuery.easing._default; - this.options = options; - this.start = this.now = this.cur(); - this.end = end; - this.unit = unit || ( jQuery.cssNumber[ prop ] ? "" : "px" ); - }, - cur: function() { - var hooks = Tween.propHooks[ this.prop ]; - - return hooks && hooks.get ? - hooks.get( this ) : - Tween.propHooks._default.get( this ); - }, - run: function( percent ) { - var eased, - hooks = Tween.propHooks[ this.prop ]; - - if ( this.options.duration ) { - this.pos = eased = jQuery.easing[ this.easing ]( - percent, this.options.duration * percent, 0, 1, this.options.duration - ); - } else { - this.pos = eased = percent; - } - this.now = ( this.end - this.start ) * eased + this.start; - - if ( this.options.step ) { - this.options.step.call( this.elem, this.now, this ); - } - - if ( hooks && hooks.set ) { - hooks.set( this ); - } else { - Tween.propHooks._default.set( this ); - } - return this; - } -}; - -Tween.prototype.init.prototype = Tween.prototype; - -Tween.propHooks = { - _default: { - get: function( tween ) { - var result; - - // Use a property on the element directly when it is not a DOM element, - // or when there is no matching style property that exists. - if ( tween.elem.nodeType !== 1 || - tween.elem[ tween.prop ] != null && tween.elem.style[ tween.prop ] == null ) { - return tween.elem[ tween.prop ]; - } - - // Passing an empty string as a 3rd parameter to .css will automatically - // attempt a parseFloat and fallback to a string if the parse fails. - // Simple values such as "10px" are parsed to Float; - // complex values such as "rotate(1rad)" are returned as-is. - result = jQuery.css( tween.elem, tween.prop, "" ); - - // Empty strings, null, undefined and "auto" are converted to 0. - return !result || result === "auto" ? 0 : result; - }, - set: function( tween ) { - - // Use step hook for back compat. - // Use cssHook if its there. - // Use .style if available and use plain properties where available. - if ( jQuery.fx.step[ tween.prop ] ) { - jQuery.fx.step[ tween.prop ]( tween ); - } else if ( tween.elem.nodeType === 1 && - ( tween.elem.style[ jQuery.cssProps[ tween.prop ] ] != null || - jQuery.cssHooks[ tween.prop ] ) ) { - jQuery.style( tween.elem, tween.prop, tween.now + tween.unit ); - } else { - tween.elem[ tween.prop ] = tween.now; - } - } - } -}; - -// Support: IE <=9 only -// Panic based approach to setting things on disconnected nodes -Tween.propHooks.scrollTop = Tween.propHooks.scrollLeft = { - set: function( tween ) { - if ( tween.elem.nodeType && tween.elem.parentNode ) { - tween.elem[ tween.prop ] = tween.now; - } - } -}; - -jQuery.easing = { - linear: function( p ) { - return p; - }, - swing: function( p ) { - return 0.5 - Math.cos( p * Math.PI ) / 2; - }, - _default: "swing" -}; - -jQuery.fx = Tween.prototype.init; - -// Back compat <1.8 extension point -jQuery.fx.step = {}; - - - - -var - fxNow, inProgress, - rfxtypes = /^(?:toggle|show|hide)$/, - rrun = /queueHooks$/; - -function schedule() { - if ( inProgress ) { - if ( document.hidden === false && window.requestAnimationFrame ) { - window.requestAnimationFrame( schedule ); - } else { - window.setTimeout( schedule, jQuery.fx.interval ); - } - - jQuery.fx.tick(); - } -} - -// Animations created synchronously will run synchronously -function createFxNow() { - window.setTimeout( function() { - fxNow = undefined; - } ); - return ( fxNow = Date.now() ); -} - -// Generate parameters to create a standard animation -function genFx( type, includeWidth ) { - var which, - i = 0, - attrs = { height: type }; - - // If we include width, step value is 1 to do all cssExpand values, - // otherwise step value is 2 to skip over Left and Right - includeWidth = includeWidth ? 1 : 0; - for ( ; i < 4; i += 2 - includeWidth ) { - which = cssExpand[ i ]; - attrs[ "margin" + which ] = attrs[ "padding" + which ] = type; - } - - if ( includeWidth ) { - attrs.opacity = attrs.width = type; - } - - return attrs; -} - -function createTween( value, prop, animation ) { - var tween, - collection = ( Animation.tweeners[ prop ] || [] ).concat( Animation.tweeners[ "*" ] ), - index = 0, - length = collection.length; - for ( ; index < length; index++ ) { - if ( ( tween = collection[ index ].call( animation, prop, value ) ) ) { - - // We're done with this property - return tween; - } - } -} - -function defaultPrefilter( elem, props, opts ) { - var prop, value, toggle, hooks, oldfire, propTween, restoreDisplay, display, - isBox = "width" in props || "height" in props, - anim = this, - orig = {}, - style = elem.style, - hidden = elem.nodeType && isHiddenWithinTree( elem ), - dataShow = dataPriv.get( elem, "fxshow" ); - - // Queue-skipping animations hijack the fx hooks - if ( !opts.queue ) { - hooks = jQuery._queueHooks( elem, "fx" ); - if ( hooks.unqueued == null ) { - hooks.unqueued = 0; - oldfire = hooks.empty.fire; - hooks.empty.fire = function() { - if ( !hooks.unqueued ) { - oldfire(); - } - }; - } - hooks.unqueued++; - - anim.always( function() { - - // Ensure the complete handler is called before this completes - anim.always( function() { - hooks.unqueued--; - if ( !jQuery.queue( elem, "fx" ).length ) { - hooks.empty.fire(); - } - } ); - } ); - } - - // Detect show/hide animations - for ( prop in props ) { - value = props[ prop ]; - if ( rfxtypes.test( value ) ) { - delete props[ prop ]; - toggle = toggle || value === "toggle"; - if ( value === ( hidden ? "hide" : "show" ) ) { - - // Pretend to be hidden if this is a "show" and - // there is still data from a stopped show/hide - if ( value === "show" && dataShow && dataShow[ prop ] !== undefined ) { - hidden = true; - - // Ignore all other no-op show/hide data - } else { - continue; - } - } - orig[ prop ] = dataShow && dataShow[ prop ] || jQuery.style( elem, prop ); - } - } - - // Bail out if this is a no-op like .hide().hide() - propTween = !jQuery.isEmptyObject( props ); - if ( !propTween && jQuery.isEmptyObject( orig ) ) { - return; - } - - // Restrict "overflow" and "display" styles during box animations - if ( isBox && elem.nodeType === 1 ) { - - // Support: IE <=9 - 11, Edge 12 - 15 - // Record all 3 overflow attributes because IE does not infer the shorthand - // from identically-valued overflowX and overflowY and Edge just mirrors - // the overflowX value there. - opts.overflow = [ style.overflow, style.overflowX, style.overflowY ]; - - // Identify a display type, preferring old show/hide data over the CSS cascade - restoreDisplay = dataShow && dataShow.display; - if ( restoreDisplay == null ) { - restoreDisplay = dataPriv.get( elem, "display" ); - } - display = jQuery.css( elem, "display" ); - if ( display === "none" ) { - if ( restoreDisplay ) { - display = restoreDisplay; - } else { - - // Get nonempty value(s) by temporarily forcing visibility - showHide( [ elem ], true ); - restoreDisplay = elem.style.display || restoreDisplay; - display = jQuery.css( elem, "display" ); - showHide( [ elem ] ); - } - } - - // Animate inline elements as inline-block - if ( display === "inline" || display === "inline-block" && restoreDisplay != null ) { - if ( jQuery.css( elem, "float" ) === "none" ) { - - // Restore the original display value at the end of pure show/hide animations - if ( !propTween ) { - anim.done( function() { - style.display = restoreDisplay; - } ); - if ( restoreDisplay == null ) { - display = style.display; - restoreDisplay = display === "none" ? "" : display; - } - } - style.display = "inline-block"; - } - } - } - - if ( opts.overflow ) { - style.overflow = "hidden"; - anim.always( function() { - style.overflow = opts.overflow[ 0 ]; - style.overflowX = opts.overflow[ 1 ]; - style.overflowY = opts.overflow[ 2 ]; - } ); - } - - // Implement show/hide animations - propTween = false; - for ( prop in orig ) { - - // General show/hide setup for this element animation - if ( !propTween ) { - if ( dataShow ) { - if ( "hidden" in dataShow ) { - hidden = dataShow.hidden; - } - } else { - dataShow = dataPriv.access( elem, "fxshow", { display: restoreDisplay } ); - } - - // Store hidden/visible for toggle so `.stop().toggle()` "reverses" - if ( toggle ) { - dataShow.hidden = !hidden; - } - - // Show elements before animating them - if ( hidden ) { - showHide( [ elem ], true ); - } - - /* eslint-disable no-loop-func */ - - anim.done( function() { - - /* eslint-enable no-loop-func */ - - // The final step of a "hide" animation is actually hiding the element - if ( !hidden ) { - showHide( [ elem ] ); - } - dataPriv.remove( elem, "fxshow" ); - for ( prop in orig ) { - jQuery.style( elem, prop, orig[ prop ] ); - } - } ); - } - - // Per-property setup - propTween = createTween( hidden ? dataShow[ prop ] : 0, prop, anim ); - if ( !( prop in dataShow ) ) { - dataShow[ prop ] = propTween.start; - if ( hidden ) { - propTween.end = propTween.start; - propTween.start = 0; - } - } - } -} - -function propFilter( props, specialEasing ) { - var index, name, easing, value, hooks; - - // camelCase, specialEasing and expand cssHook pass - for ( index in props ) { - name = camelCase( index ); - easing = specialEasing[ name ]; - value = props[ index ]; - if ( Array.isArray( value ) ) { - easing = value[ 1 ]; - value = props[ index ] = value[ 0 ]; - } - - if ( index !== name ) { - props[ name ] = value; - delete props[ index ]; - } - - hooks = jQuery.cssHooks[ name ]; - if ( hooks && "expand" in hooks ) { - value = hooks.expand( value ); - delete props[ name ]; - - // Not quite $.extend, this won't overwrite existing keys. - // Reusing 'index' because we have the correct "name" - for ( index in value ) { - if ( !( index in props ) ) { - props[ index ] = value[ index ]; - specialEasing[ index ] = easing; - } - } - } else { - specialEasing[ name ] = easing; - } - } -} - -function Animation( elem, properties, options ) { - var result, - stopped, - index = 0, - length = Animation.prefilters.length, - deferred = jQuery.Deferred().always( function() { - - // Don't match elem in the :animated selector - delete tick.elem; - } ), - tick = function() { - if ( stopped ) { - return false; - } - var currentTime = fxNow || createFxNow(), - remaining = Math.max( 0, animation.startTime + animation.duration - currentTime ), - - // Support: Android 2.3 only - // Archaic crash bug won't allow us to use `1 - ( 0.5 || 0 )` (#12497) - temp = remaining / animation.duration || 0, - percent = 1 - temp, - index = 0, - length = animation.tweens.length; - - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( percent ); - } - - deferred.notifyWith( elem, [ animation, percent, remaining ] ); - - // If there's more to do, yield - if ( percent < 1 && length ) { - return remaining; - } - - // If this was an empty animation, synthesize a final progress notification - if ( !length ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - } - - // Resolve the animation and report its conclusion - deferred.resolveWith( elem, [ animation ] ); - return false; - }, - animation = deferred.promise( { - elem: elem, - props: jQuery.extend( {}, properties ), - opts: jQuery.extend( true, { - specialEasing: {}, - easing: jQuery.easing._default - }, options ), - originalProperties: properties, - originalOptions: options, - startTime: fxNow || createFxNow(), - duration: options.duration, - tweens: [], - createTween: function( prop, end ) { - var tween = jQuery.Tween( elem, animation.opts, prop, end, - animation.opts.specialEasing[ prop ] || animation.opts.easing ); - animation.tweens.push( tween ); - return tween; - }, - stop: function( gotoEnd ) { - var index = 0, - - // If we are going to the end, we want to run all the tweens - // otherwise we skip this part - length = gotoEnd ? animation.tweens.length : 0; - if ( stopped ) { - return this; - } - stopped = true; - for ( ; index < length; index++ ) { - animation.tweens[ index ].run( 1 ); - } - - // Resolve when we played the last frame; otherwise, reject - if ( gotoEnd ) { - deferred.notifyWith( elem, [ animation, 1, 0 ] ); - deferred.resolveWith( elem, [ animation, gotoEnd ] ); - } else { - deferred.rejectWith( elem, [ animation, gotoEnd ] ); - } - return this; - } - } ), - props = animation.props; - - propFilter( props, animation.opts.specialEasing ); - - for ( ; index < length; index++ ) { - result = Animation.prefilters[ index ].call( animation, elem, props, animation.opts ); - if ( result ) { - if ( isFunction( result.stop ) ) { - jQuery._queueHooks( animation.elem, animation.opts.queue ).stop = - result.stop.bind( result ); - } - return result; - } - } - - jQuery.map( props, createTween, animation ); - - if ( isFunction( animation.opts.start ) ) { - animation.opts.start.call( elem, animation ); - } - - // Attach callbacks from options - animation - .progress( animation.opts.progress ) - .done( animation.opts.done, animation.opts.complete ) - .fail( animation.opts.fail ) - .always( animation.opts.always ); - - jQuery.fx.timer( - jQuery.extend( tick, { - elem: elem, - anim: animation, - queue: animation.opts.queue - } ) - ); - - return animation; -} - -jQuery.Animation = jQuery.extend( Animation, { - - tweeners: { - "*": [ function( prop, value ) { - var tween = this.createTween( prop, value ); - adjustCSS( tween.elem, prop, rcssNum.exec( value ), tween ); - return tween; - } ] - }, - - tweener: function( props, callback ) { - if ( isFunction( props ) ) { - callback = props; - props = [ "*" ]; - } else { - props = props.match( rnothtmlwhite ); - } - - var prop, - index = 0, - length = props.length; - - for ( ; index < length; index++ ) { - prop = props[ index ]; - Animation.tweeners[ prop ] = Animation.tweeners[ prop ] || []; - Animation.tweeners[ prop ].unshift( callback ); - } - }, - - prefilters: [ defaultPrefilter ], - - prefilter: function( callback, prepend ) { - if ( prepend ) { - Animation.prefilters.unshift( callback ); - } else { - Animation.prefilters.push( callback ); - } - } -} ); - -jQuery.speed = function( speed, easing, fn ) { - var opt = speed && typeof speed === "object" ? jQuery.extend( {}, speed ) : { - complete: fn || !fn && easing || - isFunction( speed ) && speed, - duration: speed, - easing: fn && easing || easing && !isFunction( easing ) && easing - }; - - // Go to the end state if fx are off - if ( jQuery.fx.off ) { - opt.duration = 0; - - } else { - if ( typeof opt.duration !== "number" ) { - if ( opt.duration in jQuery.fx.speeds ) { - opt.duration = jQuery.fx.speeds[ opt.duration ]; - - } else { - opt.duration = jQuery.fx.speeds._default; - } - } - } - - // Normalize opt.queue - true/undefined/null -> "fx" - if ( opt.queue == null || opt.queue === true ) { - opt.queue = "fx"; - } - - // Queueing - opt.old = opt.complete; - - opt.complete = function() { - if ( isFunction( opt.old ) ) { - opt.old.call( this ); - } - - if ( opt.queue ) { - jQuery.dequeue( this, opt.queue ); - } - }; - - return opt; -}; - -jQuery.fn.extend( { - fadeTo: function( speed, to, easing, callback ) { - - // Show any hidden elements after setting opacity to 0 - return this.filter( isHiddenWithinTree ).css( "opacity", 0 ).show() - - // Animate to the value specified - .end().animate( { opacity: to }, speed, easing, callback ); - }, - animate: function( prop, speed, easing, callback ) { - var empty = jQuery.isEmptyObject( prop ), - optall = jQuery.speed( speed, easing, callback ), - doAnimation = function() { - - // Operate on a copy of prop so per-property easing won't be lost - var anim = Animation( this, jQuery.extend( {}, prop ), optall ); - - // Empty animations, or finishing resolves immediately - if ( empty || dataPriv.get( this, "finish" ) ) { - anim.stop( true ); - } - }; - doAnimation.finish = doAnimation; - - return empty || optall.queue === false ? - this.each( doAnimation ) : - this.queue( optall.queue, doAnimation ); - }, - stop: function( type, clearQueue, gotoEnd ) { - var stopQueue = function( hooks ) { - var stop = hooks.stop; - delete hooks.stop; - stop( gotoEnd ); - }; - - if ( typeof type !== "string" ) { - gotoEnd = clearQueue; - clearQueue = type; - type = undefined; - } - if ( clearQueue && type !== false ) { - this.queue( type || "fx", [] ); - } - - return this.each( function() { - var dequeue = true, - index = type != null && type + "queueHooks", - timers = jQuery.timers, - data = dataPriv.get( this ); - - if ( index ) { - if ( data[ index ] && data[ index ].stop ) { - stopQueue( data[ index ] ); - } - } else { - for ( index in data ) { - if ( data[ index ] && data[ index ].stop && rrun.test( index ) ) { - stopQueue( data[ index ] ); - } - } - } - - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && - ( type == null || timers[ index ].queue === type ) ) { - - timers[ index ].anim.stop( gotoEnd ); - dequeue = false; - timers.splice( index, 1 ); - } - } - - // Start the next in the queue if the last step wasn't forced. - // Timers currently will call their complete callbacks, which - // will dequeue but only if they were gotoEnd. - if ( dequeue || !gotoEnd ) { - jQuery.dequeue( this, type ); - } - } ); - }, - finish: function( type ) { - if ( type !== false ) { - type = type || "fx"; - } - return this.each( function() { - var index, - data = dataPriv.get( this ), - queue = data[ type + "queue" ], - hooks = data[ type + "queueHooks" ], - timers = jQuery.timers, - length = queue ? queue.length : 0; - - // Enable finishing flag on private data - data.finish = true; - - // Empty the queue first - jQuery.queue( this, type, [] ); - - if ( hooks && hooks.stop ) { - hooks.stop.call( this, true ); - } - - // Look for any active animations, and finish them - for ( index = timers.length; index--; ) { - if ( timers[ index ].elem === this && timers[ index ].queue === type ) { - timers[ index ].anim.stop( true ); - timers.splice( index, 1 ); - } - } - - // Look for any animations in the old queue and finish them - for ( index = 0; index < length; index++ ) { - if ( queue[ index ] && queue[ index ].finish ) { - queue[ index ].finish.call( this ); - } - } - - // Turn off finishing flag - delete data.finish; - } ); - } -} ); - -jQuery.each( [ "toggle", "show", "hide" ], function( i, name ) { - var cssFn = jQuery.fn[ name ]; - jQuery.fn[ name ] = function( speed, easing, callback ) { - return speed == null || typeof speed === "boolean" ? - cssFn.apply( this, arguments ) : - this.animate( genFx( name, true ), speed, easing, callback ); - }; -} ); - -// Generate shortcuts for custom animations -jQuery.each( { - slideDown: genFx( "show" ), - slideUp: genFx( "hide" ), - slideToggle: genFx( "toggle" ), - fadeIn: { opacity: "show" }, - fadeOut: { opacity: "hide" }, - fadeToggle: { opacity: "toggle" } -}, function( name, props ) { - jQuery.fn[ name ] = function( speed, easing, callback ) { - return this.animate( props, speed, easing, callback ); - }; -} ); - -jQuery.timers = []; -jQuery.fx.tick = function() { - var timer, - i = 0, - timers = jQuery.timers; - - fxNow = Date.now(); - - for ( ; i < timers.length; i++ ) { - timer = timers[ i ]; - - // Run the timer and safely remove it when done (allowing for external removal) - if ( !timer() && timers[ i ] === timer ) { - timers.splice( i--, 1 ); - } - } - - if ( !timers.length ) { - jQuery.fx.stop(); - } - fxNow = undefined; -}; - -jQuery.fx.timer = function( timer ) { - jQuery.timers.push( timer ); - jQuery.fx.start(); -}; - -jQuery.fx.interval = 13; -jQuery.fx.start = function() { - if ( inProgress ) { - return; - } - - inProgress = true; - schedule(); -}; - -jQuery.fx.stop = function() { - inProgress = null; -}; - -jQuery.fx.speeds = { - slow: 600, - fast: 200, - - // Default speed - _default: 400 -}; - - -// Based off of the plugin by Clint Helfers, with permission. -// https://web.archive.org/web/20100324014747/http://blindsignals.com/index.php/2009/07/jquery-delay/ -jQuery.fn.delay = function( time, type ) { - time = jQuery.fx ? jQuery.fx.speeds[ time ] || time : time; - type = type || "fx"; - - return this.queue( type, function( next, hooks ) { - var timeout = window.setTimeout( next, time ); - hooks.stop = function() { - window.clearTimeout( timeout ); - }; - } ); -}; - - -( function() { - var input = document.createElement( "input" ), - select = document.createElement( "select" ), - opt = select.appendChild( document.createElement( "option" ) ); - - input.type = "checkbox"; - - // Support: Android <=4.3 only - // Default value for a checkbox should be "on" - support.checkOn = input.value !== ""; - - // Support: IE <=11 only - // Must access selectedIndex to make default options select - support.optSelected = opt.selected; - - // Support: IE <=11 only - // An input loses its value after becoming a radio - input = document.createElement( "input" ); - input.value = "t"; - input.type = "radio"; - support.radioValue = input.value === "t"; -} )(); - - -var boolHook, - attrHandle = jQuery.expr.attrHandle; - -jQuery.fn.extend( { - attr: function( name, value ) { - return access( this, jQuery.attr, name, value, arguments.length > 1 ); - }, - - removeAttr: function( name ) { - return this.each( function() { - jQuery.removeAttr( this, name ); - } ); - } -} ); - -jQuery.extend( { - attr: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set attributes on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - // Fallback to prop when attributes are not supported - if ( typeof elem.getAttribute === "undefined" ) { - return jQuery.prop( elem, name, value ); - } - - // Attribute hooks are determined by the lowercase version - // Grab necessary hook if one is defined - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - hooks = jQuery.attrHooks[ name.toLowerCase() ] || - ( jQuery.expr.match.bool.test( name ) ? boolHook : undefined ); - } - - if ( value !== undefined ) { - if ( value === null ) { - jQuery.removeAttr( elem, name ); - return; - } - - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - elem.setAttribute( name, value + "" ); - return value; - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - ret = jQuery.find.attr( elem, name ); - - // Non-existent attributes return null, we normalize to undefined - return ret == null ? undefined : ret; - }, - - attrHooks: { - type: { - set: function( elem, value ) { - if ( !support.radioValue && value === "radio" && - nodeName( elem, "input" ) ) { - var val = elem.value; - elem.setAttribute( "type", value ); - if ( val ) { - elem.value = val; - } - return value; - } - } - } - }, - - removeAttr: function( elem, value ) { - var name, - i = 0, - - // Attribute names can contain non-HTML whitespace characters - // https://html.spec.whatwg.org/multipage/syntax.html#attributes-2 - attrNames = value && value.match( rnothtmlwhite ); - - if ( attrNames && elem.nodeType === 1 ) { - while ( ( name = attrNames[ i++ ] ) ) { - elem.removeAttribute( name ); - } - } - } -} ); - -// Hooks for boolean attributes -boolHook = { - set: function( elem, value, name ) { - if ( value === false ) { - - // Remove boolean attributes when set to false - jQuery.removeAttr( elem, name ); - } else { - elem.setAttribute( name, name ); - } - return name; - } -}; - -jQuery.each( jQuery.expr.match.bool.source.match( /\w+/g ), function( i, name ) { - var getter = attrHandle[ name ] || jQuery.find.attr; - - attrHandle[ name ] = function( elem, name, isXML ) { - var ret, handle, - lowercaseName = name.toLowerCase(); - - if ( !isXML ) { - - // Avoid an infinite loop by temporarily removing this function from the getter - handle = attrHandle[ lowercaseName ]; - attrHandle[ lowercaseName ] = ret; - ret = getter( elem, name, isXML ) != null ? - lowercaseName : - null; - attrHandle[ lowercaseName ] = handle; - } - return ret; - }; -} ); - - - - -var rfocusable = /^(?:input|select|textarea|button)$/i, - rclickable = /^(?:a|area)$/i; - -jQuery.fn.extend( { - prop: function( name, value ) { - return access( this, jQuery.prop, name, value, arguments.length > 1 ); - }, - - removeProp: function( name ) { - return this.each( function() { - delete this[ jQuery.propFix[ name ] || name ]; - } ); - } -} ); - -jQuery.extend( { - prop: function( elem, name, value ) { - var ret, hooks, - nType = elem.nodeType; - - // Don't get/set properties on text, comment and attribute nodes - if ( nType === 3 || nType === 8 || nType === 2 ) { - return; - } - - if ( nType !== 1 || !jQuery.isXMLDoc( elem ) ) { - - // Fix name and attach hooks - name = jQuery.propFix[ name ] || name; - hooks = jQuery.propHooks[ name ]; - } - - if ( value !== undefined ) { - if ( hooks && "set" in hooks && - ( ret = hooks.set( elem, value, name ) ) !== undefined ) { - return ret; - } - - return ( elem[ name ] = value ); - } - - if ( hooks && "get" in hooks && ( ret = hooks.get( elem, name ) ) !== null ) { - return ret; - } - - return elem[ name ]; - }, - - propHooks: { - tabIndex: { - get: function( elem ) { - - // Support: IE <=9 - 11 only - // elem.tabIndex doesn't always return the - // correct value when it hasn't been explicitly set - // https://web.archive.org/web/20141116233347/http://fluidproject.org/blog/2008/01/09/getting-setting-and-removing-tabindex-values-with-javascript/ - // Use proper attribute retrieval(#12072) - var tabindex = jQuery.find.attr( elem, "tabindex" ); - - if ( tabindex ) { - return parseInt( tabindex, 10 ); - } - - if ( - rfocusable.test( elem.nodeName ) || - rclickable.test( elem.nodeName ) && - elem.href - ) { - return 0; - } - - return -1; - } - } - }, - - propFix: { - "for": "htmlFor", - "class": "className" - } -} ); - -// Support: IE <=11 only -// Accessing the selectedIndex property -// forces the browser to respect setting selected -// on the option -// The getter ensures a default option is selected -// when in an optgroup -// eslint rule "no-unused-expressions" is disabled for this code -// since it considers such accessions noop -if ( !support.optSelected ) { - jQuery.propHooks.selected = { - get: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent && parent.parentNode ) { - parent.parentNode.selectedIndex; - } - return null; - }, - set: function( elem ) { - - /* eslint no-unused-expressions: "off" */ - - var parent = elem.parentNode; - if ( parent ) { - parent.selectedIndex; - - if ( parent.parentNode ) { - parent.parentNode.selectedIndex; - } - } - } - }; -} - -jQuery.each( [ - "tabIndex", - "readOnly", - "maxLength", - "cellSpacing", - "cellPadding", - "rowSpan", - "colSpan", - "useMap", - "frameBorder", - "contentEditable" -], function() { - jQuery.propFix[ this.toLowerCase() ] = this; -} ); - - - - - // Strip and collapse whitespace according to HTML spec - // https://infra.spec.whatwg.org/#strip-and-collapse-ascii-whitespace - function stripAndCollapse( value ) { - var tokens = value.match( rnothtmlwhite ) || []; - return tokens.join( " " ); - } - - -function getClass( elem ) { - return elem.getAttribute && elem.getAttribute( "class" ) || ""; -} - -function classesToArray( value ) { - if ( Array.isArray( value ) ) { - return value; - } - if ( typeof value === "string" ) { - return value.match( rnothtmlwhite ) || []; - } - return []; -} - -jQuery.fn.extend( { - addClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).addClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - classes = classesToArray( value ); - - if ( classes.length ) { - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - if ( cur.indexOf( " " + clazz + " " ) < 0 ) { - cur += clazz + " "; - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - removeClass: function( value ) { - var classes, elem, cur, curValue, clazz, j, finalValue, - i = 0; - - if ( isFunction( value ) ) { - return this.each( function( j ) { - jQuery( this ).removeClass( value.call( this, j, getClass( this ) ) ); - } ); - } - - if ( !arguments.length ) { - return this.attr( "class", "" ); - } - - classes = classesToArray( value ); - - if ( classes.length ) { - while ( ( elem = this[ i++ ] ) ) { - curValue = getClass( elem ); - - // This expression is here for better compressibility (see addClass) - cur = elem.nodeType === 1 && ( " " + stripAndCollapse( curValue ) + " " ); - - if ( cur ) { - j = 0; - while ( ( clazz = classes[ j++ ] ) ) { - - // Remove *all* instances - while ( cur.indexOf( " " + clazz + " " ) > -1 ) { - cur = cur.replace( " " + clazz + " ", " " ); - } - } - - // Only assign if different to avoid unneeded rendering. - finalValue = stripAndCollapse( cur ); - if ( curValue !== finalValue ) { - elem.setAttribute( "class", finalValue ); - } - } - } - } - - return this; - }, - - toggleClass: function( value, stateVal ) { - var type = typeof value, - isValidValue = type === "string" || Array.isArray( value ); - - if ( typeof stateVal === "boolean" && isValidValue ) { - return stateVal ? this.addClass( value ) : this.removeClass( value ); - } - - if ( isFunction( value ) ) { - return this.each( function( i ) { - jQuery( this ).toggleClass( - value.call( this, i, getClass( this ), stateVal ), - stateVal - ); - } ); - } - - return this.each( function() { - var className, i, self, classNames; - - if ( isValidValue ) { - - // Toggle individual class names - i = 0; - self = jQuery( this ); - classNames = classesToArray( value ); - - while ( ( className = classNames[ i++ ] ) ) { - - // Check each className given, space separated list - if ( self.hasClass( className ) ) { - self.removeClass( className ); - } else { - self.addClass( className ); - } - } - - // Toggle whole class name - } else if ( value === undefined || type === "boolean" ) { - className = getClass( this ); - if ( className ) { - - // Store className if set - dataPriv.set( this, "__className__", className ); - } - - // If the element has a class name or if we're passed `false`, - // then remove the whole classname (if there was one, the above saved it). - // Otherwise bring back whatever was previously saved (if anything), - // falling back to the empty string if nothing was stored. - if ( this.setAttribute ) { - this.setAttribute( "class", - className || value === false ? - "" : - dataPriv.get( this, "__className__" ) || "" - ); - } - } - } ); - }, - - hasClass: function( selector ) { - var className, elem, - i = 0; - - className = " " + selector + " "; - while ( ( elem = this[ i++ ] ) ) { - if ( elem.nodeType === 1 && - ( " " + stripAndCollapse( getClass( elem ) ) + " " ).indexOf( className ) > -1 ) { - return true; - } - } - - return false; - } -} ); - - - - -var rreturn = /\r/g; - -jQuery.fn.extend( { - val: function( value ) { - var hooks, ret, valueIsFunction, - elem = this[ 0 ]; - - if ( !arguments.length ) { - if ( elem ) { - hooks = jQuery.valHooks[ elem.type ] || - jQuery.valHooks[ elem.nodeName.toLowerCase() ]; - - if ( hooks && - "get" in hooks && - ( ret = hooks.get( elem, "value" ) ) !== undefined - ) { - return ret; - } - - ret = elem.value; - - // Handle most common string cases - if ( typeof ret === "string" ) { - return ret.replace( rreturn, "" ); - } - - // Handle cases where value is null/undef or number - return ret == null ? "" : ret; - } - - return; - } - - valueIsFunction = isFunction( value ); - - return this.each( function( i ) { - var val; - - if ( this.nodeType !== 1 ) { - return; - } - - if ( valueIsFunction ) { - val = value.call( this, i, jQuery( this ).val() ); - } else { - val = value; - } - - // Treat null/undefined as ""; convert numbers to string - if ( val == null ) { - val = ""; - - } else if ( typeof val === "number" ) { - val += ""; - - } else if ( Array.isArray( val ) ) { - val = jQuery.map( val, function( value ) { - return value == null ? "" : value + ""; - } ); - } - - hooks = jQuery.valHooks[ this.type ] || jQuery.valHooks[ this.nodeName.toLowerCase() ]; - - // If set returns undefined, fall back to normal setting - if ( !hooks || !( "set" in hooks ) || hooks.set( this, val, "value" ) === undefined ) { - this.value = val; - } - } ); - } -} ); - -jQuery.extend( { - valHooks: { - option: { - get: function( elem ) { - - var val = jQuery.find.attr( elem, "value" ); - return val != null ? - val : - - // Support: IE <=10 - 11 only - // option.text throws exceptions (#14686, #14858) - // Strip and collapse whitespace - // https://html.spec.whatwg.org/#strip-and-collapse-whitespace - stripAndCollapse( jQuery.text( elem ) ); - } - }, - select: { - get: function( elem ) { - var value, option, i, - options = elem.options, - index = elem.selectedIndex, - one = elem.type === "select-one", - values = one ? null : [], - max = one ? index + 1 : options.length; - - if ( index < 0 ) { - i = max; - - } else { - i = one ? index : 0; - } - - // Loop through all the selected options - for ( ; i < max; i++ ) { - option = options[ i ]; - - // Support: IE <=9 only - // IE8-9 doesn't update selected after form reset (#2551) - if ( ( option.selected || i === index ) && - - // Don't return options that are disabled or in a disabled optgroup - !option.disabled && - ( !option.parentNode.disabled || - !nodeName( option.parentNode, "optgroup" ) ) ) { - - // Get the specific value for the option - value = jQuery( option ).val(); - - // We don't need an array for one selects - if ( one ) { - return value; - } - - // Multi-Selects return an array - values.push( value ); - } - } - - return values; - }, - - set: function( elem, value ) { - var optionSet, option, - options = elem.options, - values = jQuery.makeArray( value ), - i = options.length; - - while ( i-- ) { - option = options[ i ]; - - /* eslint-disable no-cond-assign */ - - if ( option.selected = - jQuery.inArray( jQuery.valHooks.option.get( option ), values ) > -1 - ) { - optionSet = true; - } - - /* eslint-enable no-cond-assign */ - } - - // Force browsers to behave consistently when non-matching value is set - if ( !optionSet ) { - elem.selectedIndex = -1; - } - return values; - } - } - } -} ); - -// Radios and checkboxes getter/setter -jQuery.each( [ "radio", "checkbox" ], function() { - jQuery.valHooks[ this ] = { - set: function( elem, value ) { - if ( Array.isArray( value ) ) { - return ( elem.checked = jQuery.inArray( jQuery( elem ).val(), value ) > -1 ); - } - } - }; - if ( !support.checkOn ) { - jQuery.valHooks[ this ].get = function( elem ) { - return elem.getAttribute( "value" ) === null ? "on" : elem.value; - }; - } -} ); - - - - -// Return jQuery for attributes-only inclusion - - -support.focusin = "onfocusin" in window; - - -var rfocusMorph = /^(?:focusinfocus|focusoutblur)$/, - stopPropagationCallback = function( e ) { - e.stopPropagation(); - }; - -jQuery.extend( jQuery.event, { - - trigger: function( event, data, elem, onlyHandlers ) { - - var i, cur, tmp, bubbleType, ontype, handle, special, lastElement, - eventPath = [ elem || document ], - type = hasOwn.call( event, "type" ) ? event.type : event, - namespaces = hasOwn.call( event, "namespace" ) ? event.namespace.split( "." ) : []; - - cur = lastElement = tmp = elem = elem || document; - - // Don't do events on text and comment nodes - if ( elem.nodeType === 3 || elem.nodeType === 8 ) { - return; - } - - // focus/blur morphs to focusin/out; ensure we're not firing them right now - if ( rfocusMorph.test( type + jQuery.event.triggered ) ) { - return; - } - - if ( type.indexOf( "." ) > -1 ) { - - // Namespaced trigger; create a regexp to match event type in handle() - namespaces = type.split( "." ); - type = namespaces.shift(); - namespaces.sort(); - } - ontype = type.indexOf( ":" ) < 0 && "on" + type; - - // Caller can pass in a jQuery.Event object, Object, or just an event type string - event = event[ jQuery.expando ] ? - event : - new jQuery.Event( type, typeof event === "object" && event ); - - // Trigger bitmask: & 1 for native handlers; & 2 for jQuery (always true) - event.isTrigger = onlyHandlers ? 2 : 3; - event.namespace = namespaces.join( "." ); - event.rnamespace = event.namespace ? - new RegExp( "(^|\\.)" + namespaces.join( "\\.(?:.*\\.|)" ) + "(\\.|$)" ) : - null; - - // Clean up the event in case it is being reused - event.result = undefined; - if ( !event.target ) { - event.target = elem; - } - - // Clone any incoming data and prepend the event, creating the handler arg list - data = data == null ? - [ event ] : - jQuery.makeArray( data, [ event ] ); - - // Allow special events to draw outside the lines - special = jQuery.event.special[ type ] || {}; - if ( !onlyHandlers && special.trigger && special.trigger.apply( elem, data ) === false ) { - return; - } - - // Determine event propagation path in advance, per W3C events spec (#9951) - // Bubble up to document, then to window; watch for a global ownerDocument var (#9724) - if ( !onlyHandlers && !special.noBubble && !isWindow( elem ) ) { - - bubbleType = special.delegateType || type; - if ( !rfocusMorph.test( bubbleType + type ) ) { - cur = cur.parentNode; - } - for ( ; cur; cur = cur.parentNode ) { - eventPath.push( cur ); - tmp = cur; - } - - // Only add window if we got to document (e.g., not plain obj or detached DOM) - if ( tmp === ( elem.ownerDocument || document ) ) { - eventPath.push( tmp.defaultView || tmp.parentWindow || window ); - } - } - - // Fire handlers on the event path - i = 0; - while ( ( cur = eventPath[ i++ ] ) && !event.isPropagationStopped() ) { - lastElement = cur; - event.type = i > 1 ? - bubbleType : - special.bindType || type; - - // jQuery handler - handle = ( dataPriv.get( cur, "events" ) || {} )[ event.type ] && - dataPriv.get( cur, "handle" ); - if ( handle ) { - handle.apply( cur, data ); - } - - // Native handler - handle = ontype && cur[ ontype ]; - if ( handle && handle.apply && acceptData( cur ) ) { - event.result = handle.apply( cur, data ); - if ( event.result === false ) { - event.preventDefault(); - } - } - } - event.type = type; - - // If nobody prevented the default action, do it now - if ( !onlyHandlers && !event.isDefaultPrevented() ) { - - if ( ( !special._default || - special._default.apply( eventPath.pop(), data ) === false ) && - acceptData( elem ) ) { - - // Call a native DOM method on the target with the same name as the event. - // Don't do default actions on window, that's where global variables be (#6170) - if ( ontype && isFunction( elem[ type ] ) && !isWindow( elem ) ) { - - // Don't re-trigger an onFOO event when we call its FOO() method - tmp = elem[ ontype ]; - - if ( tmp ) { - elem[ ontype ] = null; - } - - // Prevent re-triggering of the same event, since we already bubbled it above - jQuery.event.triggered = type; - - if ( event.isPropagationStopped() ) { - lastElement.addEventListener( type, stopPropagationCallback ); - } - - elem[ type ](); - - if ( event.isPropagationStopped() ) { - lastElement.removeEventListener( type, stopPropagationCallback ); - } - - jQuery.event.triggered = undefined; - - if ( tmp ) { - elem[ ontype ] = tmp; - } - } - } - } - - return event.result; - }, - - // Piggyback on a donor event to simulate a different one - // Used only for `focus(in | out)` events - simulate: function( type, elem, event ) { - var e = jQuery.extend( - new jQuery.Event(), - event, - { - type: type, - isSimulated: true - } - ); - - jQuery.event.trigger( e, null, elem ); - } - -} ); - -jQuery.fn.extend( { - - trigger: function( type, data ) { - return this.each( function() { - jQuery.event.trigger( type, data, this ); - } ); - }, - triggerHandler: function( type, data ) { - var elem = this[ 0 ]; - if ( elem ) { - return jQuery.event.trigger( type, data, elem, true ); - } - } -} ); - - -// Support: Firefox <=44 -// Firefox doesn't have focus(in | out) events -// Related ticket - https://bugzilla.mozilla.org/show_bug.cgi?id=687787 -// -// Support: Chrome <=48 - 49, Safari <=9.0 - 9.1 -// focus(in | out) events fire after focus & blur events, -// which is spec violation - http://www.w3.org/TR/DOM-Level-3-Events/#events-focusevent-event-order -// Related ticket - https://bugs.chromium.org/p/chromium/issues/detail?id=449857 -if ( !support.focusin ) { - jQuery.each( { focus: "focusin", blur: "focusout" }, function( orig, fix ) { - - // Attach a single capturing handler on the document while someone wants focusin/focusout - var handler = function( event ) { - jQuery.event.simulate( fix, event.target, jQuery.event.fix( event ) ); - }; - - jQuery.event.special[ fix ] = { - setup: function() { - var doc = this.ownerDocument || this, - attaches = dataPriv.access( doc, fix ); - - if ( !attaches ) { - doc.addEventListener( orig, handler, true ); - } - dataPriv.access( doc, fix, ( attaches || 0 ) + 1 ); - }, - teardown: function() { - var doc = this.ownerDocument || this, - attaches = dataPriv.access( doc, fix ) - 1; - - if ( !attaches ) { - doc.removeEventListener( orig, handler, true ); - dataPriv.remove( doc, fix ); - - } else { - dataPriv.access( doc, fix, attaches ); - } - } - }; - } ); -} -var location = window.location; - -var nonce = Date.now(); - -var rquery = ( /\?/ ); - - - -// Cross-browser xml parsing -jQuery.parseXML = function( data ) { - var xml; - if ( !data || typeof data !== "string" ) { - return null; - } - - // Support: IE 9 - 11 only - // IE throws on parseFromString with invalid input. - try { - xml = ( new window.DOMParser() ).parseFromString( data, "text/xml" ); - } catch ( e ) { - xml = undefined; - } - - if ( !xml || xml.getElementsByTagName( "parsererror" ).length ) { - jQuery.error( "Invalid XML: " + data ); - } - return xml; -}; - - -var - rbracket = /\[\]$/, - rCRLF = /\r?\n/g, - rsubmitterTypes = /^(?:submit|button|image|reset|file)$/i, - rsubmittable = /^(?:input|select|textarea|keygen)/i; - -function buildParams( prefix, obj, traditional, add ) { - var name; - - if ( Array.isArray( obj ) ) { - - // Serialize array item. - jQuery.each( obj, function( i, v ) { - if ( traditional || rbracket.test( prefix ) ) { - - // Treat each array item as a scalar. - add( prefix, v ); - - } else { - - // Item is non-scalar (array or object), encode its numeric index. - buildParams( - prefix + "[" + ( typeof v === "object" && v != null ? i : "" ) + "]", - v, - traditional, - add - ); - } - } ); - - } else if ( !traditional && toType( obj ) === "object" ) { - - // Serialize object item. - for ( name in obj ) { - buildParams( prefix + "[" + name + "]", obj[ name ], traditional, add ); - } - - } else { - - // Serialize scalar item. - add( prefix, obj ); - } -} - -// Serialize an array of form elements or a set of -// key/values into a query string -jQuery.param = function( a, traditional ) { - var prefix, - s = [], - add = function( key, valueOrFunction ) { - - // If value is a function, invoke it and use its return value - var value = isFunction( valueOrFunction ) ? - valueOrFunction() : - valueOrFunction; - - s[ s.length ] = encodeURIComponent( key ) + "=" + - encodeURIComponent( value == null ? "" : value ); - }; - - // If an array was passed in, assume that it is an array of form elements. - if ( Array.isArray( a ) || ( a.jquery && !jQuery.isPlainObject( a ) ) ) { - - // Serialize the form elements - jQuery.each( a, function() { - add( this.name, this.value ); - } ); - - } else { - - // If traditional, encode the "old" way (the way 1.3.2 or older - // did it), otherwise encode params recursively. - for ( prefix in a ) { - buildParams( prefix, a[ prefix ], traditional, add ); - } - } - - // Return the resulting serialization - return s.join( "&" ); -}; - -jQuery.fn.extend( { - serialize: function() { - return jQuery.param( this.serializeArray() ); - }, - serializeArray: function() { - return this.map( function() { - - // Can add propHook for "elements" to filter or add form elements - var elements = jQuery.prop( this, "elements" ); - return elements ? jQuery.makeArray( elements ) : this; - } ) - .filter( function() { - var type = this.type; - - // Use .is( ":disabled" ) so that fieldset[disabled] works - return this.name && !jQuery( this ).is( ":disabled" ) && - rsubmittable.test( this.nodeName ) && !rsubmitterTypes.test( type ) && - ( this.checked || !rcheckableType.test( type ) ); - } ) - .map( function( i, elem ) { - var val = jQuery( this ).val(); - - if ( val == null ) { - return null; - } - - if ( Array.isArray( val ) ) { - return jQuery.map( val, function( val ) { - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ); - } - - return { name: elem.name, value: val.replace( rCRLF, "\r\n" ) }; - } ).get(); - } -} ); - - -var - r20 = /%20/g, - rhash = /#.*$/, - rantiCache = /([?&])_=[^&]*/, - rheaders = /^(.*?):[ \t]*([^\r\n]*)$/mg, - - // #7653, #8125, #8152: local protocol detection - rlocalProtocol = /^(?:about|app|app-storage|.+-extension|file|res|widget):$/, - rnoContent = /^(?:GET|HEAD)$/, - rprotocol = /^\/\//, - - /* Prefilters - * 1) They are useful to introduce custom dataTypes (see ajax/jsonp.js for an example) - * 2) These are called: - * - BEFORE asking for a transport - * - AFTER param serialization (s.data is a string if s.processData is true) - * 3) key is the dataType - * 4) the catchall symbol "*" can be used - * 5) execution will start with transport dataType and THEN continue down to "*" if needed - */ - prefilters = {}, - - /* Transports bindings - * 1) key is the dataType - * 2) the catchall symbol "*" can be used - * 3) selection will start with transport dataType and THEN go to "*" if needed - */ - transports = {}, - - // Avoid comment-prolog char sequence (#10098); must appease lint and evade compression - allTypes = "*/".concat( "*" ), - - // Anchor tag for parsing the document origin - originAnchor = document.createElement( "a" ); - originAnchor.href = location.href; - -// Base "constructor" for jQuery.ajaxPrefilter and jQuery.ajaxTransport -function addToPrefiltersOrTransports( structure ) { - - // dataTypeExpression is optional and defaults to "*" - return function( dataTypeExpression, func ) { - - if ( typeof dataTypeExpression !== "string" ) { - func = dataTypeExpression; - dataTypeExpression = "*"; - } - - var dataType, - i = 0, - dataTypes = dataTypeExpression.toLowerCase().match( rnothtmlwhite ) || []; - - if ( isFunction( func ) ) { - - // For each dataType in the dataTypeExpression - while ( ( dataType = dataTypes[ i++ ] ) ) { - - // Prepend if requested - if ( dataType[ 0 ] === "+" ) { - dataType = dataType.slice( 1 ) || "*"; - ( structure[ dataType ] = structure[ dataType ] || [] ).unshift( func ); - - // Otherwise append - } else { - ( structure[ dataType ] = structure[ dataType ] || [] ).push( func ); - } - } - } - }; -} - -// Base inspection function for prefilters and transports -function inspectPrefiltersOrTransports( structure, options, originalOptions, jqXHR ) { - - var inspected = {}, - seekingTransport = ( structure === transports ); - - function inspect( dataType ) { - var selected; - inspected[ dataType ] = true; - jQuery.each( structure[ dataType ] || [], function( _, prefilterOrFactory ) { - var dataTypeOrTransport = prefilterOrFactory( options, originalOptions, jqXHR ); - if ( typeof dataTypeOrTransport === "string" && - !seekingTransport && !inspected[ dataTypeOrTransport ] ) { - - options.dataTypes.unshift( dataTypeOrTransport ); - inspect( dataTypeOrTransport ); - return false; - } else if ( seekingTransport ) { - return !( selected = dataTypeOrTransport ); - } - } ); - return selected; - } - - return inspect( options.dataTypes[ 0 ] ) || !inspected[ "*" ] && inspect( "*" ); -} - -// A special extend for ajax options -// that takes "flat" options (not to be deep extended) -// Fixes #9887 -function ajaxExtend( target, src ) { - var key, deep, - flatOptions = jQuery.ajaxSettings.flatOptions || {}; - - for ( key in src ) { - if ( src[ key ] !== undefined ) { - ( flatOptions[ key ] ? target : ( deep || ( deep = {} ) ) )[ key ] = src[ key ]; - } - } - if ( deep ) { - jQuery.extend( true, target, deep ); - } - - return target; -} - -/* Handles responses to an ajax request: - * - finds the right dataType (mediates between content-type and expected dataType) - * - returns the corresponding response - */ -function ajaxHandleResponses( s, jqXHR, responses ) { - - var ct, type, finalDataType, firstDataType, - contents = s.contents, - dataTypes = s.dataTypes; - - // Remove auto dataType and get content-type in the process - while ( dataTypes[ 0 ] === "*" ) { - dataTypes.shift(); - if ( ct === undefined ) { - ct = s.mimeType || jqXHR.getResponseHeader( "Content-Type" ); - } - } - - // Check if we're dealing with a known content-type - if ( ct ) { - for ( type in contents ) { - if ( contents[ type ] && contents[ type ].test( ct ) ) { - dataTypes.unshift( type ); - break; - } - } - } - - // Check to see if we have a response for the expected dataType - if ( dataTypes[ 0 ] in responses ) { - finalDataType = dataTypes[ 0 ]; - } else { - - // Try convertible dataTypes - for ( type in responses ) { - if ( !dataTypes[ 0 ] || s.converters[ type + " " + dataTypes[ 0 ] ] ) { - finalDataType = type; - break; - } - if ( !firstDataType ) { - firstDataType = type; - } - } - - // Or just use first one - finalDataType = finalDataType || firstDataType; - } - - // If we found a dataType - // We add the dataType to the list if needed - // and return the corresponding response - if ( finalDataType ) { - if ( finalDataType !== dataTypes[ 0 ] ) { - dataTypes.unshift( finalDataType ); - } - return responses[ finalDataType ]; - } -} - -/* Chain conversions given the request and the original response - * Also sets the responseXXX fields on the jqXHR instance - */ -function ajaxConvert( s, response, jqXHR, isSuccess ) { - var conv2, current, conv, tmp, prev, - converters = {}, - - // Work with a copy of dataTypes in case we need to modify it for conversion - dataTypes = s.dataTypes.slice(); - - // Create converters map with lowercased keys - if ( dataTypes[ 1 ] ) { - for ( conv in s.converters ) { - converters[ conv.toLowerCase() ] = s.converters[ conv ]; - } - } - - current = dataTypes.shift(); - - // Convert to each sequential dataType - while ( current ) { - - if ( s.responseFields[ current ] ) { - jqXHR[ s.responseFields[ current ] ] = response; - } - - // Apply the dataFilter if provided - if ( !prev && isSuccess && s.dataFilter ) { - response = s.dataFilter( response, s.dataType ); - } - - prev = current; - current = dataTypes.shift(); - - if ( current ) { - - // There's only work to do if current dataType is non-auto - if ( current === "*" ) { - - current = prev; - - // Convert response if prev dataType is non-auto and differs from current - } else if ( prev !== "*" && prev !== current ) { - - // Seek a direct converter - conv = converters[ prev + " " + current ] || converters[ "* " + current ]; - - // If none found, seek a pair - if ( !conv ) { - for ( conv2 in converters ) { - - // If conv2 outputs current - tmp = conv2.split( " " ); - if ( tmp[ 1 ] === current ) { - - // If prev can be converted to accepted input - conv = converters[ prev + " " + tmp[ 0 ] ] || - converters[ "* " + tmp[ 0 ] ]; - if ( conv ) { - - // Condense equivalence converters - if ( conv === true ) { - conv = converters[ conv2 ]; - - // Otherwise, insert the intermediate dataType - } else if ( converters[ conv2 ] !== true ) { - current = tmp[ 0 ]; - dataTypes.unshift( tmp[ 1 ] ); - } - break; - } - } - } - } - - // Apply converter (if not an equivalence) - if ( conv !== true ) { - - // Unless errors are allowed to bubble, catch and return them - if ( conv && s.throws ) { - response = conv( response ); - } else { - try { - response = conv( response ); - } catch ( e ) { - return { - state: "parsererror", - error: conv ? e : "No conversion from " + prev + " to " + current - }; - } - } - } - } - } - } - - return { state: "success", data: response }; -} - -jQuery.extend( { - - // Counter for holding the number of active queries - active: 0, - - // Last-Modified header cache for next request - lastModified: {}, - etag: {}, - - ajaxSettings: { - url: location.href, - type: "GET", - isLocal: rlocalProtocol.test( location.protocol ), - global: true, - processData: true, - async: true, - contentType: "application/x-www-form-urlencoded; charset=UTF-8", - - /* - timeout: 0, - data: null, - dataType: null, - username: null, - password: null, - cache: null, - throws: false, - traditional: false, - headers: {}, - */ - - accepts: { - "*": allTypes, - text: "text/plain", - html: "text/html", - xml: "application/xml, text/xml", - json: "application/json, text/javascript" - }, - - contents: { - xml: /\bxml\b/, - html: /\bhtml/, - json: /\bjson\b/ - }, - - responseFields: { - xml: "responseXML", - text: "responseText", - json: "responseJSON" - }, - - // Data converters - // Keys separate source (or catchall "*") and destination types with a single space - converters: { - - // Convert anything to text - "* text": String, - - // Text to html (true = no transformation) - "text html": true, - - // Evaluate text as a json expression - "text json": JSON.parse, - - // Parse text as xml - "text xml": jQuery.parseXML - }, - - // For options that shouldn't be deep extended: - // you can add your own custom options here if - // and when you create one that shouldn't be - // deep extended (see ajaxExtend) - flatOptions: { - url: true, - context: true - } - }, - - // Creates a full fledged settings object into target - // with both ajaxSettings and settings fields. - // If target is omitted, writes into ajaxSettings. - ajaxSetup: function( target, settings ) { - return settings ? - - // Building a settings object - ajaxExtend( ajaxExtend( target, jQuery.ajaxSettings ), settings ) : - - // Extending ajaxSettings - ajaxExtend( jQuery.ajaxSettings, target ); - }, - - ajaxPrefilter: addToPrefiltersOrTransports( prefilters ), - ajaxTransport: addToPrefiltersOrTransports( transports ), - - // Main method - ajax: function( url, options ) { - - // If url is an object, simulate pre-1.5 signature - if ( typeof url === "object" ) { - options = url; - url = undefined; - } - - // Force options to be an object - options = options || {}; - - var transport, - - // URL without anti-cache param - cacheURL, - - // Response headers - responseHeadersString, - responseHeaders, - - // timeout handle - timeoutTimer, - - // Url cleanup var - urlAnchor, - - // Request state (becomes false upon send and true upon completion) - completed, - - // To know if global events are to be dispatched - fireGlobals, - - // Loop variable - i, - - // uncached part of the url - uncached, - - // Create the final options object - s = jQuery.ajaxSetup( {}, options ), - - // Callbacks context - callbackContext = s.context || s, - - // Context for global events is callbackContext if it is a DOM node or jQuery collection - globalEventContext = s.context && - ( callbackContext.nodeType || callbackContext.jquery ) ? - jQuery( callbackContext ) : - jQuery.event, - - // Deferreds - deferred = jQuery.Deferred(), - completeDeferred = jQuery.Callbacks( "once memory" ), - - // Status-dependent callbacks - statusCode = s.statusCode || {}, - - // Headers (they are sent all at once) - requestHeaders = {}, - requestHeadersNames = {}, - - // Default abort message - strAbort = "canceled", - - // Fake xhr - jqXHR = { - readyState: 0, - - // Builds headers hashtable if needed - getResponseHeader: function( key ) { - var match; - if ( completed ) { - if ( !responseHeaders ) { - responseHeaders = {}; - while ( ( match = rheaders.exec( responseHeadersString ) ) ) { - responseHeaders[ match[ 1 ].toLowerCase() ] = match[ 2 ]; - } - } - match = responseHeaders[ key.toLowerCase() ]; - } - return match == null ? null : match; - }, - - // Raw string - getAllResponseHeaders: function() { - return completed ? responseHeadersString : null; - }, - - // Caches the header - setRequestHeader: function( name, value ) { - if ( completed == null ) { - name = requestHeadersNames[ name.toLowerCase() ] = - requestHeadersNames[ name.toLowerCase() ] || name; - requestHeaders[ name ] = value; - } - return this; - }, - - // Overrides response content-type header - overrideMimeType: function( type ) { - if ( completed == null ) { - s.mimeType = type; - } - return this; - }, - - // Status-dependent callbacks - statusCode: function( map ) { - var code; - if ( map ) { - if ( completed ) { - - // Execute the appropriate callbacks - jqXHR.always( map[ jqXHR.status ] ); - } else { - - // Lazy-add the new callbacks in a way that preserves old ones - for ( code in map ) { - statusCode[ code ] = [ statusCode[ code ], map[ code ] ]; - } - } - } - return this; - }, - - // Cancel the request - abort: function( statusText ) { - var finalText = statusText || strAbort; - if ( transport ) { - transport.abort( finalText ); - } - done( 0, finalText ); - return this; - } - }; - - // Attach deferreds - deferred.promise( jqXHR ); - - // Add protocol if not provided (prefilters might expect it) - // Handle falsy url in the settings object (#10093: consistency with old signature) - // We also use the url parameter if available - s.url = ( ( url || s.url || location.href ) + "" ) - .replace( rprotocol, location.protocol + "//" ); - - // Alias method option to type as per ticket #12004 - s.type = options.method || options.type || s.method || s.type; - - // Extract dataTypes list - s.dataTypes = ( s.dataType || "*" ).toLowerCase().match( rnothtmlwhite ) || [ "" ]; - - // A cross-domain request is in order when the origin doesn't match the current origin. - if ( s.crossDomain == null ) { - urlAnchor = document.createElement( "a" ); - - // Support: IE <=8 - 11, Edge 12 - 15 - // IE throws exception on accessing the href property if url is malformed, - // e.g. http://example.com:80x/ - try { - urlAnchor.href = s.url; - - // Support: IE <=8 - 11 only - // Anchor's host property isn't correctly set when s.url is relative - urlAnchor.href = urlAnchor.href; - s.crossDomain = originAnchor.protocol + "//" + originAnchor.host !== - urlAnchor.protocol + "//" + urlAnchor.host; - } catch ( e ) { - - // If there is an error parsing the URL, assume it is crossDomain, - // it can be rejected by the transport if it is invalid - s.crossDomain = true; - } - } - - // Convert data if not already a string - if ( s.data && s.processData && typeof s.data !== "string" ) { - s.data = jQuery.param( s.data, s.traditional ); - } - - // Apply prefilters - inspectPrefiltersOrTransports( prefilters, s, options, jqXHR ); - - // If request was aborted inside a prefilter, stop there - if ( completed ) { - return jqXHR; - } - - // We can fire global events as of now if asked to - // Don't fire events if jQuery.event is undefined in an AMD-usage scenario (#15118) - fireGlobals = jQuery.event && s.global; - - // Watch for a new set of requests - if ( fireGlobals && jQuery.active++ === 0 ) { - jQuery.event.trigger( "ajaxStart" ); - } - - // Uppercase the type - s.type = s.type.toUpperCase(); - - // Determine if request has content - s.hasContent = !rnoContent.test( s.type ); - - // Save the URL in case we're toying with the If-Modified-Since - // and/or If-None-Match header later on - // Remove hash to simplify url manipulation - cacheURL = s.url.replace( rhash, "" ); - - // More options handling for requests with no content - if ( !s.hasContent ) { - - // Remember the hash so we can put it back - uncached = s.url.slice( cacheURL.length ); - - // If data is available and should be processed, append data to url - if ( s.data && ( s.processData || typeof s.data === "string" ) ) { - cacheURL += ( rquery.test( cacheURL ) ? "&" : "?" ) + s.data; - - // #9682: remove data so that it's not used in an eventual retry - delete s.data; - } - - // Add or update anti-cache param if needed - if ( s.cache === false ) { - cacheURL = cacheURL.replace( rantiCache, "$1" ); - uncached = ( rquery.test( cacheURL ) ? "&" : "?" ) + "_=" + ( nonce++ ) + uncached; - } - - // Put hash and anti-cache on the URL that will be requested (gh-1732) - s.url = cacheURL + uncached; - - // Change '%20' to '+' if this is encoded form body content (gh-2658) - } else if ( s.data && s.processData && - ( s.contentType || "" ).indexOf( "application/x-www-form-urlencoded" ) === 0 ) { - s.data = s.data.replace( r20, "+" ); - } - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - if ( jQuery.lastModified[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-Modified-Since", jQuery.lastModified[ cacheURL ] ); - } - if ( jQuery.etag[ cacheURL ] ) { - jqXHR.setRequestHeader( "If-None-Match", jQuery.etag[ cacheURL ] ); - } - } - - // Set the correct header, if data is being sent - if ( s.data && s.hasContent && s.contentType !== false || options.contentType ) { - jqXHR.setRequestHeader( "Content-Type", s.contentType ); - } - - // Set the Accepts header for the server, depending on the dataType - jqXHR.setRequestHeader( - "Accept", - s.dataTypes[ 0 ] && s.accepts[ s.dataTypes[ 0 ] ] ? - s.accepts[ s.dataTypes[ 0 ] ] + - ( s.dataTypes[ 0 ] !== "*" ? ", " + allTypes + "; q=0.01" : "" ) : - s.accepts[ "*" ] - ); - - // Check for headers option - for ( i in s.headers ) { - jqXHR.setRequestHeader( i, s.headers[ i ] ); - } - - // Allow custom headers/mimetypes and early abort - if ( s.beforeSend && - ( s.beforeSend.call( callbackContext, jqXHR, s ) === false || completed ) ) { - - // Abort if not done already and return - return jqXHR.abort(); - } - - // Aborting is no longer a cancellation - strAbort = "abort"; - - // Install callbacks on deferreds - completeDeferred.add( s.complete ); - jqXHR.done( s.success ); - jqXHR.fail( s.error ); - - // Get transport - transport = inspectPrefiltersOrTransports( transports, s, options, jqXHR ); - - // If no transport, we auto-abort - if ( !transport ) { - done( -1, "No Transport" ); - } else { - jqXHR.readyState = 1; - - // Send global event - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxSend", [ jqXHR, s ] ); - } - - // If request was aborted inside ajaxSend, stop there - if ( completed ) { - return jqXHR; - } - - // Timeout - if ( s.async && s.timeout > 0 ) { - timeoutTimer = window.setTimeout( function() { - jqXHR.abort( "timeout" ); - }, s.timeout ); - } - - try { - completed = false; - transport.send( requestHeaders, done ); - } catch ( e ) { - - // Rethrow post-completion exceptions - if ( completed ) { - throw e; - } - - // Propagate others as results - done( -1, e ); - } - } - - // Callback for when everything is done - function done( status, nativeStatusText, responses, headers ) { - var isSuccess, success, error, response, modified, - statusText = nativeStatusText; - - // Ignore repeat invocations - if ( completed ) { - return; - } - - completed = true; - - // Clear timeout if it exists - if ( timeoutTimer ) { - window.clearTimeout( timeoutTimer ); - } - - // Dereference transport for early garbage collection - // (no matter how long the jqXHR object will be used) - transport = undefined; - - // Cache response headers - responseHeadersString = headers || ""; - - // Set readyState - jqXHR.readyState = status > 0 ? 4 : 0; - - // Determine if successful - isSuccess = status >= 200 && status < 300 || status === 304; - - // Get response data - if ( responses ) { - response = ajaxHandleResponses( s, jqXHR, responses ); - } - - // Convert no matter what (that way responseXXX fields are always set) - response = ajaxConvert( s, response, jqXHR, isSuccess ); - - // If successful, handle type chaining - if ( isSuccess ) { - - // Set the If-Modified-Since and/or If-None-Match header, if in ifModified mode. - if ( s.ifModified ) { - modified = jqXHR.getResponseHeader( "Last-Modified" ); - if ( modified ) { - jQuery.lastModified[ cacheURL ] = modified; - } - modified = jqXHR.getResponseHeader( "etag" ); - if ( modified ) { - jQuery.etag[ cacheURL ] = modified; - } - } - - // if no content - if ( status === 204 || s.type === "HEAD" ) { - statusText = "nocontent"; - - // if not modified - } else if ( status === 304 ) { - statusText = "notmodified"; - - // If we have data, let's convert it - } else { - statusText = response.state; - success = response.data; - error = response.error; - isSuccess = !error; - } - } else { - - // Extract error from statusText and normalize for non-aborts - error = statusText; - if ( status || !statusText ) { - statusText = "error"; - if ( status < 0 ) { - status = 0; - } - } - } - - // Set data for the fake xhr object - jqXHR.status = status; - jqXHR.statusText = ( nativeStatusText || statusText ) + ""; - - // Success/Error - if ( isSuccess ) { - deferred.resolveWith( callbackContext, [ success, statusText, jqXHR ] ); - } else { - deferred.rejectWith( callbackContext, [ jqXHR, statusText, error ] ); - } - - // Status-dependent callbacks - jqXHR.statusCode( statusCode ); - statusCode = undefined; - - if ( fireGlobals ) { - globalEventContext.trigger( isSuccess ? "ajaxSuccess" : "ajaxError", - [ jqXHR, s, isSuccess ? success : error ] ); - } - - // Complete - completeDeferred.fireWith( callbackContext, [ jqXHR, statusText ] ); - - if ( fireGlobals ) { - globalEventContext.trigger( "ajaxComplete", [ jqXHR, s ] ); - - // Handle the global AJAX counter - if ( !( --jQuery.active ) ) { - jQuery.event.trigger( "ajaxStop" ); - } - } - } - - return jqXHR; - }, - - getJSON: function( url, data, callback ) { - return jQuery.get( url, data, callback, "json" ); - }, - - getScript: function( url, callback ) { - return jQuery.get( url, undefined, callback, "script" ); - } -} ); - -jQuery.each( [ "get", "post" ], function( i, method ) { - jQuery[ method ] = function( url, data, callback, type ) { - - // Shift arguments if data argument was omitted - if ( isFunction( data ) ) { - type = type || callback; - callback = data; - data = undefined; - } - - // The url can be an options object (which then must have .url) - return jQuery.ajax( jQuery.extend( { - url: url, - type: method, - dataType: type, - data: data, - success: callback - }, jQuery.isPlainObject( url ) && url ) ); - }; -} ); - - -jQuery._evalUrl = function( url ) { - return jQuery.ajax( { - url: url, - - // Make this explicit, since user can override this through ajaxSetup (#11264) - type: "GET", - dataType: "script", - cache: true, - async: false, - global: false, - "throws": true - } ); -}; - - -jQuery.fn.extend( { - wrapAll: function( html ) { - var wrap; - - if ( this[ 0 ] ) { - if ( isFunction( html ) ) { - html = html.call( this[ 0 ] ); - } - - // The elements to wrap the target around - wrap = jQuery( html, this[ 0 ].ownerDocument ).eq( 0 ).clone( true ); - - if ( this[ 0 ].parentNode ) { - wrap.insertBefore( this[ 0 ] ); - } - - wrap.map( function() { - var elem = this; - - while ( elem.firstElementChild ) { - elem = elem.firstElementChild; - } - - return elem; - } ).append( this ); - } - - return this; - }, - - wrapInner: function( html ) { - if ( isFunction( html ) ) { - return this.each( function( i ) { - jQuery( this ).wrapInner( html.call( this, i ) ); - } ); - } - - return this.each( function() { - var self = jQuery( this ), - contents = self.contents(); - - if ( contents.length ) { - contents.wrapAll( html ); - - } else { - self.append( html ); - } - } ); - }, - - wrap: function( html ) { - var htmlIsFunction = isFunction( html ); - - return this.each( function( i ) { - jQuery( this ).wrapAll( htmlIsFunction ? html.call( this, i ) : html ); - } ); - }, - - unwrap: function( selector ) { - this.parent( selector ).not( "body" ).each( function() { - jQuery( this ).replaceWith( this.childNodes ); - } ); - return this; - } -} ); - - -jQuery.expr.pseudos.hidden = function( elem ) { - return !jQuery.expr.pseudos.visible( elem ); -}; -jQuery.expr.pseudos.visible = function( elem ) { - return !!( elem.offsetWidth || elem.offsetHeight || elem.getClientRects().length ); -}; - - - - -jQuery.ajaxSettings.xhr = function() { - try { - return new window.XMLHttpRequest(); - } catch ( e ) {} -}; - -var xhrSuccessStatus = { - - // File protocol always yields status code 0, assume 200 - 0: 200, - - // Support: IE <=9 only - // #1450: sometimes IE returns 1223 when it should be 204 - 1223: 204 - }, - xhrSupported = jQuery.ajaxSettings.xhr(); - -support.cors = !!xhrSupported && ( "withCredentials" in xhrSupported ); -support.ajax = xhrSupported = !!xhrSupported; - -jQuery.ajaxTransport( function( options ) { - var callback, errorCallback; - - // Cross domain only allowed if supported through XMLHttpRequest - if ( support.cors || xhrSupported && !options.crossDomain ) { - return { - send: function( headers, complete ) { - var i, - xhr = options.xhr(); - - xhr.open( - options.type, - options.url, - options.async, - options.username, - options.password - ); - - // Apply custom fields if provided - if ( options.xhrFields ) { - for ( i in options.xhrFields ) { - xhr[ i ] = options.xhrFields[ i ]; - } - } - - // Override mime type if needed - if ( options.mimeType && xhr.overrideMimeType ) { - xhr.overrideMimeType( options.mimeType ); - } - - // X-Requested-With header - // For cross-domain requests, seeing as conditions for a preflight are - // akin to a jigsaw puzzle, we simply never set it to be sure. - // (it can always be set on a per-request basis or even using ajaxSetup) - // For same-domain requests, won't change header if already provided. - if ( !options.crossDomain && !headers[ "X-Requested-With" ] ) { - headers[ "X-Requested-With" ] = "XMLHttpRequest"; - } - - // Set headers - for ( i in headers ) { - xhr.setRequestHeader( i, headers[ i ] ); - } - - // Callback - callback = function( type ) { - return function() { - if ( callback ) { - callback = errorCallback = xhr.onload = - xhr.onerror = xhr.onabort = xhr.ontimeout = - xhr.onreadystatechange = null; - - if ( type === "abort" ) { - xhr.abort(); - } else if ( type === "error" ) { - - // Support: IE <=9 only - // On a manual native abort, IE9 throws - // errors on any property access that is not readyState - if ( typeof xhr.status !== "number" ) { - complete( 0, "error" ); - } else { - complete( - - // File: protocol always yields status 0; see #8605, #14207 - xhr.status, - xhr.statusText - ); - } - } else { - complete( - xhrSuccessStatus[ xhr.status ] || xhr.status, - xhr.statusText, - - // Support: IE <=9 only - // IE9 has no XHR2 but throws on binary (trac-11426) - // For XHR2 non-text, let the caller handle it (gh-2498) - ( xhr.responseType || "text" ) !== "text" || - typeof xhr.responseText !== "string" ? - { binary: xhr.response } : - { text: xhr.responseText }, - xhr.getAllResponseHeaders() - ); - } - } - }; - }; - - // Listen to events - xhr.onload = callback(); - errorCallback = xhr.onerror = xhr.ontimeout = callback( "error" ); - - // Support: IE 9 only - // Use onreadystatechange to replace onabort - // to handle uncaught aborts - if ( xhr.onabort !== undefined ) { - xhr.onabort = errorCallback; - } else { - xhr.onreadystatechange = function() { - - // Check readyState before timeout as it changes - if ( xhr.readyState === 4 ) { - - // Allow onerror to be called first, - // but that will not handle a native abort - // Also, save errorCallback to a variable - // as xhr.onerror cannot be accessed - window.setTimeout( function() { - if ( callback ) { - errorCallback(); - } - } ); - } - }; - } - - // Create the abort callback - callback = callback( "abort" ); - - try { - - // Do send the request (this may raise an exception) - xhr.send( options.hasContent && options.data || null ); - } catch ( e ) { - - // #14683: Only rethrow if this hasn't been notified as an error yet - if ( callback ) { - throw e; - } - } - }, - - abort: function() { - if ( callback ) { - callback(); - } - } - }; - } -} ); - - - - -// Prevent auto-execution of scripts when no explicit dataType was provided (See gh-2432) -jQuery.ajaxPrefilter( function( s ) { - if ( s.crossDomain ) { - s.contents.script = false; - } -} ); - -// Install script dataType -jQuery.ajaxSetup( { - accepts: { - script: "text/javascript, application/javascript, " + - "application/ecmascript, application/x-ecmascript" - }, - contents: { - script: /\b(?:java|ecma)script\b/ - }, - converters: { - "text script": function( text ) { - jQuery.globalEval( text ); - return text; - } - } -} ); - -// Handle cache's special case and crossDomain -jQuery.ajaxPrefilter( "script", function( s ) { - if ( s.cache === undefined ) { - s.cache = false; - } - if ( s.crossDomain ) { - s.type = "GET"; - } -} ); - -// Bind script tag hack transport -jQuery.ajaxTransport( "script", function( s ) { - - // This transport only deals with cross domain requests - if ( s.crossDomain ) { - var script, callback; - return { - send: function( _, complete ) { - script = jQuery( " - - - - - - - - - - {% for js_file in js_3rdparty %} - - {% endfor %} -{% endblock %} - - -{% block head_js_cvat %} - {{ block.super }} - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -{% endblock %} - - -{% block content %} -
-
-
-
- - - - - - - - - - - - - - - -
    -
  • Copy Object URL
    • -
  • Change Color
    • -
  • Remove Shape
    • -
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  • Split
    • -
  • Enable Dragging
    • -
  • Reset Perspective
    • -
  • Switch Perspective Orientation
    • - -
- -
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  • Copy Job URL
    • -
  • Copy Frame URL
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- -
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  • Remove
    • -
-
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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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- - - - - - - - - - - - - -
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- - - - - - - -
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- -
-{% endblock %} diff --git a/cvat/apps/engine/templates/engine/base.html b/cvat/apps/engine/templates/engine/base.html deleted file mode 100644 index 56415d88..00000000 --- a/cvat/apps/engine/templates/engine/base.html +++ /dev/null @@ -1,90 +0,0 @@ - - -{% load static compress %} - - - - - - {% block head_title %} - Computer Vision Annotation Tool (CVAT) - {% endblock %} - - - {% compress css %} - {% block head_css %} - - {% endblock %} - {% endcompress %} - - {% compress js file platformchecker %} - - - {% endcompress %} - - {% compress js file thirdparty %} - {% block head_js_3rdparty %} - - - - {% endblock %} - {% endcompress %} - - {% compress js file cvat %} - {% block head_js_cvat %} - - - {% endblock %} - {% endcompress %} - - - {% block header %} - {% endblock %} - - {% block content %} - {% endblock %} - - {% block footer %} - {% endblock %} - - - LOADING - - - - - - - - - - diff --git a/cvat/apps/engine/urls.py b/cvat/apps/engine/urls.py index 6c608a00..699ea1db 100644 --- a/cvat/apps/engine/urls.py +++ b/cvat/apps/engine/urls.py @@ -9,7 +9,10 @@ from rest_framework import routers from rest_framework import permissions from drf_yasg.views import get_schema_view from drf_yasg import openapi +from django.views.generic import RedirectView +from django.conf import settings from cvat.apps.restrictions.views import RestrictionsViewSet +from cvat.apps.authentication.decorators import login_required schema_view = get_schema_view( openapi.Info( @@ -24,29 +27,44 @@ schema_view = get_schema_view( permission_classes=(permissions.IsAuthenticated,), ) +# drf-yasg component doesn't handle correctly URL_FORMAT_OVERRIDE and +# send requests with ?format=openapi suffix instead of ?scheme=openapi. +# We map the required paramater explicitly and add it into query arguments +# on the server side. +def wrap_swagger(view): + @login_required + def _map_format_to_schema(request, scheme=None): + if 'format' in request.GET: + request.GET = request.GET.copy() + format_alias = settings.REST_FRAMEWORK['URL_FORMAT_OVERRIDE'] + request.GET[format_alias] = request.GET['format'] + + return view(request, format=scheme) + + return _map_format_to_schema + router = routers.DefaultRouter(trailing_slash=False) router.register('projects', views.ProjectViewSet) router.register('tasks', views.TaskViewSet) router.register('jobs', views.JobViewSet) router.register('users', views.UserViewSet) router.register('server', views.ServerViewSet, basename='server') -router.register('plugins', views.PluginViewSet) router.register('restrictions', RestrictionsViewSet, basename='restrictions') urlpatterns = [ # Entry point for a client - path('', views.dispatch_request), - path('dashboard/', views.dispatch_request), + path('', RedirectView.as_view(url=settings.UI_URL, permanent=True, + query_string=True)), # documentation for API - path('api/swagger', views.wrap_swagger( + path('api/swagger', wrap_swagger( schema_view.without_ui(cache_timeout=0)), name='schema-json'), - path('api/swagger/', views.wrap_swagger( + path('api/swagger/', wrap_swagger( schema_view.with_ui('swagger', cache_timeout=0)), name='schema-swagger-ui'), - path('api/docs/', views.wrap_swagger( + path('api/docs/', wrap_swagger( schema_view.with_ui('redoc', cache_timeout=0)), name='schema-redoc'), # entry point for API - path('api/v1/auth/', include('cvat.apps.authentication.api_urls')), + path('api/v1/auth/', include('cvat.apps.authentication.urls')), path('api/v1/', include((router.urls, 'cvat'), namespace='v1')) ] diff --git a/cvat/apps/engine/views.py b/cvat/apps/engine/views.py index 542339b9..e5800d15 100644 --- a/cvat/apps/engine/views.py +++ b/cvat/apps/engine/views.py @@ -13,11 +13,9 @@ import django_rq from django.conf import settings from django.contrib.auth.models import User from django.db import IntegrityError -from django.http import HttpResponse, HttpResponseNotFound -from django.shortcuts import render +from django.http import HttpResponse from django.utils import timezone from django.utils.decorators import method_decorator -from django.views.generic import RedirectView from django_filters import rest_framework as filters from django_filters.rest_framework import DjangoFilterBackend from drf_yasg import openapi @@ -34,58 +32,20 @@ from sendfile import sendfile#убрать import cvat.apps.dataset_manager as dm import cvat.apps.dataset_manager.views # pylint: disable=unused-import from cvat.apps.authentication import auth -from cvat.apps.authentication.decorators import login_required from cvat.apps.dataset_manager.serializers import DatasetFormatsSerializer from cvat.apps.engine.frame_provider import FrameProvider -from cvat.apps.engine.models import Job, Plugin, StatusChoice, Task, StorageMethodChoice +from cvat.apps.engine.models import Job, StatusChoice, Task, StorageMethodChoice from cvat.apps.engine.serializers import ( AboutSerializer, AnnotationFileSerializer, BasicUserSerializer, DataMetaSerializer, DataSerializer, ExceptionSerializer, FileInfoSerializer, JobSerializer, LabeledDataSerializer, - LogEventSerializer, PluginSerializer, ProjectSerializer, - RqStatusSerializer, TaskSerializer, UserSerializer) -from cvat.settings.base import CSS_3RDPARTY, JS_3RDPARTY + LogEventSerializer, ProjectSerializer, RqStatusSerializer, + TaskSerializer, UserSerializer) from cvat.apps.engine.utils import av_scan_paths from . import models, task from .log import clogger, slogger -# drf-yasg component doesn't handle correctly URL_FORMAT_OVERRIDE and -# send requests with ?format=openapi suffix instead of ?scheme=openapi. -# We map the required paramater explicitly and add it into query arguments -# on the server side. -def wrap_swagger(view): - @login_required - def _map_format_to_schema(request, scheme=None): - if 'format' in request.GET: - request.GET = request.GET.copy() - format_alias = settings.REST_FRAMEWORK['URL_FORMAT_OVERRIDE'] - request.GET[format_alias] = request.GET['format'] - - return view(request, format=scheme) - - return _map_format_to_schema - -# Server REST API -@login_required -def dispatch_request(request): - """An entry point to dispatch legacy requests""" - if 'dashboard' in request.path or (request.path == '/' and 'id' not in request.GET): - return RedirectView.as_view( - url=settings.UI_URL, - permanent=True, - query_string=True - )(request) - elif request.method == 'GET' and 'id' in request.GET and request.path == '/': - return render(request, 'engine/annotation.html', { - 'css_3rdparty': CSS_3RDPARTY.get('engine', []), - 'js_3rdparty': JS_3RDPARTY.get('engine', []), - 'status_list': [str(i) for i in StatusChoice], - 'ui_url': settings.UI_URL - }) - else: - return HttpResponseNotFound() - class ServerViewSet(viewsets.ViewSet): serializer_class = None @@ -388,7 +348,9 @@ class TaskViewSet(auth.TaskGetQuerySetMixin, viewsets.ModelViewSet): return Response(serializer.data) - @swagger_auto_schema(method='post', operation_summary='Method permanently attaches images or video to a task') + @swagger_auto_schema(method='post', operation_summary='Method permanently attaches images or video to a task', + request_body=DataSerializer, + ) @swagger_auto_schema(method='get', operation_summary='Method returns data for a specific task', manual_parameters=[ openapi.Parameter('type', in_=openapi.IN_QUERY, required=True, type=openapi.TYPE_STRING, @@ -769,33 +731,6 @@ class UserViewSet(viewsets.GenericViewSet, mixins.ListModelMixin, serializer = serializer_class(request.user, context={ "request": request }) return Response(serializer.data) -class PluginViewSet(viewsets.ModelViewSet): - queryset = Plugin.objects.all() - serializer_class = PluginSerializer - - # @action(detail=True, methods=['GET', 'PATCH', 'PUT'], serializer_class=None) - # def config(self, request, name): - # pass - - # @action(detail=True, methods=['GET', 'POST'], serializer_class=None) - # def data(self, request, name): - # pass - - # @action(detail=True, methods=['GET', 'DELETE', 'PATCH', 'PUT'], - # serializer_class=None, url_path='data/(?P\d+)') - # def data_detail(self, request, name, id): - # pass - - - @action(detail=True, methods=['GET', 'POST'], serializer_class=RqStatusSerializer) - def requests(self, request, name): - pass - - @action(detail=True, methods=['GET', 'DELETE'], - serializer_class=RqStatusSerializer, url_path='requests/(?P\d+)') - def request_detail(self, request, name, rq_id): - pass - def rq_handler(job, exc_type, exc_value, tb): job.exc_info = "".join( traceback.format_exception_only(exc_type, exc_value)) @@ -918,4 +853,4 @@ def _export_annotations(db_task, rq_id, request, format_name, action, callback, args=(db_task.id, format_name, server_address), job_id=rq_id, meta={ 'request_time': timezone.localtime() }, result_ttl=ttl, failure_ttl=ttl) - return Response(status=status.HTTP_202_ACCEPTED) \ No newline at end of file + return Response(status=status.HTTP_202_ACCEPTED) diff --git a/cvat/apps/git/admin.py b/cvat/apps/git/admin.py deleted file mode 100644 index b66dde17..00000000 --- a/cvat/apps/git/admin.py +++ /dev/null @@ -1,3 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT diff --git a/cvat/apps/log_viewer/migrations/__init__.py b/cvat/apps/lambda_manager/__init__.py similarity index 100% rename from cvat/apps/log_viewer/migrations/__init__.py rename to cvat/apps/lambda_manager/__init__.py diff --git a/cvat/apps/lambda_manager/apps.py b/cvat/apps/lambda_manager/apps.py new file mode 100644 index 00000000..eda3a971 --- /dev/null +++ b/cvat/apps/lambda_manager/apps.py @@ -0,0 +1,5 @@ +from django.apps import AppConfig + + +class LambdaManagerConfig(AppConfig): + name = 'lambda_manager' diff --git a/cvat/apps/lambda_manager/urls.py b/cvat/apps/lambda_manager/urls.py new file mode 100644 index 00000000..0225db53 --- /dev/null +++ b/cvat/apps/lambda_manager/urls.py @@ -0,0 +1,29 @@ +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +from django.urls import path +from rest_framework import routers +from django.urls import include +from . import views + +router = routers.DefaultRouter(trailing_slash=False) +# https://github.com/encode/django-rest-framework/issues/6645 +# I want to "call" my functions. To do that need to map my call method to +# POST (like get HTTP method is mapped to list(...)). One way is to implement +# own CustomRouter. But it is simpler just patch the router instance here. +router.routes[2].mapping.update({'post': 'call'}) +router.register('functions', views.FunctionViewSet, basename='function') +router.register('requests', views.RequestViewSet, basename='request') + +# GET /api/v1/lambda/functions - get list of functions +# GET /api/v1/lambda/functions/ - get information about the function +# POST /api/v1/labmda/requests - call a function +# { "function": "", "mode": "online|offline", "job": "", "frame": "", +# "points": [...], } +# GET /api/v1/lambda/requests - get list of requests +# GET /api/v1/lambda/requests/ - get status of the request +# DEL /api/v1/lambda/requests/ - cancel a request (don't delete) +urlpatterns = [ + path('api/v1/lambda/', include((router.urls, 'cvat'), namespace='v1')) +] \ No newline at end of file diff --git a/cvat/apps/lambda_manager/views.py b/cvat/apps/lambda_manager/views.py new file mode 100644 index 00000000..d307ca51 --- /dev/null +++ b/cvat/apps/lambda_manager/views.py @@ -0,0 +1,603 @@ +import base64 +import json +from functools import wraps +from enum import Enum + +import django_rq +import requests +import rq +from django.conf import settings +from django.core.exceptions import ObjectDoesNotExist, ValidationError +from rest_framework import status, viewsets +from rest_framework.response import Response + +from cvat.apps.authentication import auth +import cvat.apps.dataset_manager as dm +from cvat.apps.engine.frame_provider import FrameProvider +from cvat.apps.engine.models import Task as TaskModel +from cvat.apps.engine.serializers import LabeledDataSerializer +from rest_framework.permissions import IsAuthenticated +from cvat.apps.engine.models import ShapeType, SourceType + +class LambdaType(Enum): + DETECTOR = "detector" + INTERACTOR = "interactor" + REID = "reid" + TRACKER = "tracker" + UNKNOWN = "unknown" + + def __str__(self): + return self.value + +class LambdaGateway: + NUCLIO_ROOT_URL = '/api/functions' + + def _http(self, method="get", scheme=None, host=None, port=None, + url=None, headers=None, data=None): + NUCLIO_GATEWAY = '{}://{}:{}'.format( + scheme or settings.NUCLIO['SCHEME'], + host or settings.NUCLIO['HOST'], + port or settings.NUCLIO['PORT']) + extra_headers = { + 'x-nuclio-project-name': 'cvat', + 'x-nuclio-function-namespace': 'nuclio', + } + if headers: + extra_headers.update(headers) + NUCLIO_TIMEOUT = settings.NUCLIO['DEFAULT_TIMEOUT'] + + if url: + url = "{}{}".format(NUCLIO_GATEWAY, url) + else: + url = NUCLIO_GATEWAY + + reply = getattr(requests, method)(url, headers=extra_headers, + timeout=NUCLIO_TIMEOUT, json=data) + reply.raise_for_status() + response = reply.json() + + return response + + def list(self): + data = self._http(url=self.NUCLIO_ROOT_URL) + response = [LambdaFunction(self, item) for item in data.values()] + return response + + def get(self, func_id): + data = self._http(url=self.NUCLIO_ROOT_URL + '/' + func_id) + response = LambdaFunction(self, data) + return response + + def invoke(self, func, payload): + # NOTE: it is overhead to invoke a function using nuclio + # dashboard REST API. Better to call host.docker.internal: + # Look at https://github.com/docker/for-linux/issues/264. + # host.docker.internal isn't supported by docker on Linux. + # There are many workarounds but let's try to use the + # simple solution. + return self._http(method="post", url='/api/function_invocations', + data=payload, headers={ + 'x-nuclio-function-name': func.id, + 'x-nuclio-path': '/' + }) + +class LambdaFunction: + def __init__(self, gateway, data): + # ID of the function (e.g. omz.public.yolo-v3) + self.id = data['metadata']['name'] + # type of the function (e.g. detector, interactor) + kind = data['metadata']['annotations'].get('type') + try: + self.kind = LambdaType(kind) + except ValueError: + self.kind = LambdaType.UNKNOWN + # dictionary of labels for the function (e.g. car, person) + spec = json.loads(data['metadata']['annotations'].get('spec') or '[]') + labels = [item['name'] for item in spec] + if len(labels) != len(set(labels)): + raise ValidationError( + "`{}` lambda function has non-unique labels".format(self.id), + code=status.HTTP_404_NOT_FOUND) + self.labels = labels + # state of the function + self.state = data['status']['state'] + # description of the function + self.description = data['spec']['description'] + # http port to access the serverless function + self.port = data["status"].get("httpPort") + # framework which is used for the function (e.g. tensorflow, openvino) + self.framework = data['metadata']['annotations'].get('framework') + # display name for the function + self.name = data['metadata']['annotations'].get('name', self.id) + self.gateway = gateway + + def to_dict(self): + response = { + 'id': self.id, + 'kind': str(self.kind), + 'labels': self.labels, + 'state': self.state, + 'description': self.description, + 'framework': self.framework, + 'name': self.name, + } + + return response + + def invoke(self, db_task, data): + try: + payload = {} + threshold = data.get("threshold") + if threshold: + payload.update({ + "threshold": threshold, + }) + quality = data.get("quality") + mapping = data.get("mapping") + if self.kind == LambdaType.DETECTOR: + payload.update({ + "image": self._get_image(db_task, data["frame"], quality) + }) + elif self.kind == LambdaType.INTERACTOR: + payload.update({ + "image": self._get_image(db_task, data["frame"], quality), + "points": data["points"], + }) + elif self.kind == LambdaType.REID: + payload.update({ + "image0": self._get_image(db_task, data["frame0"], quality), + "image1": self._get_image(db_task, data["frame1"], quality), + "boxes0": data["boxes0"], + "boxes1": data["boxes1"] + }) + max_distance = data.get("max_distance") + if max_distance: + payload.update({ + "max_distance": max_distance + }) + elif self.kind == LambdaType.TRACKER: + payload.update({ + "image": self._get_image(db_task, data["frame"], quality), + "shape": data.get("shape", None), + "state": data.get("state", None) + }) + else: + raise ValidationError( + '`{}` lambda function has incorrect type: {}' + .format(self.id, self.kind), + code=status.HTTP_500_INTERNAL_SERVER_ERROR) + except KeyError as err: + raise ValidationError( + "`{}` lambda function was called without mandatory argument: {}" + .format(self.id, str(err)), + code=status.HTTP_400_BAD_REQUEST) + + response = self.gateway.invoke(self, payload) + if self.kind == LambdaType.DETECTOR: + if mapping: + for item in response: + item["label"] = mapping.get(item["label"]) + response = [item for item in response if item["label"]] + + return response + + def _get_image(self, db_task, frame, quality): + if quality is None or quality == "original": + quality = FrameProvider.Quality.ORIGINAL + elif quality == "compressed": + quality = FrameProvider.Quality.COMPRESSED + else: + raise ValidationError( + '`{}` lambda function was run '.format(self.id) + + 'with wrong arguments (quality={})'.format(quality), + code=status.HTTP_400_BAD_REQUEST) + + frame_provider = FrameProvider(db_task.data) + image = frame_provider.get_frame(frame, quality=quality) + + return base64.b64encode(image[0].getvalue()).decode('utf-8') + + +class LambdaQueue: + def _get_queue(self): + QUEUE_NAME = "low" + return django_rq.get_queue(QUEUE_NAME) + + def get_jobs(self): + queue = self._get_queue() + # Only failed jobs are not included in the list below. + job_ids = set(queue.get_job_ids() + + queue.started_job_registry.get_job_ids() + + queue.finished_job_registry.get_job_ids() + + queue.scheduled_job_registry.get_job_ids() + + queue.deferred_job_registry.get_job_ids()) + jobs = queue.job_class.fetch_many(job_ids, queue.connection) + + return [LambdaJob(job) for job in jobs if job.meta.get("lambda")] + + def enqueue(self, lambda_func, threshold, task, quality, mapping, cleanup): + jobs = self.get_jobs() + # It is still possible to run several concurrent jobs for the same task. + # But the race isn't critical. The filtration is just a light-weight + # protection. + if list(filter(lambda job: job.get_task() == task and not job.is_finished, jobs)): + raise ValidationError( + "Only one running request is allowed for the same task #{}".format(task), + code=status.HTTP_409_CONFLICT) + + queue = self._get_queue() + # LambdaJob(None) is a workaround for python-rq. It has multiple issues + # with invocation of non-trivial functions. For example, it cannot run + # staticmethod, it cannot run a callable class. Thus I provide an object + # which has __call__ function. + job = queue.create_job(LambdaJob(None), + meta = { "lambda": True }, + kwargs = { + "function": lambda_func, + "threshold": threshold, + "task": task, + "quality": quality, + "cleanup": cleanup, + "mapping": mapping + }) + + queue.enqueue_job(job) + + return LambdaJob(job) + + def fetch_job(self, pk): + queue = self._get_queue() + job = queue.fetch_job(pk) + if job == None or not job.meta.get("lambda"): + raise ValidationError("{} lambda job is not found".format(pk), + code=status.HTTP_404_NOT_FOUND) + + return LambdaJob(job) + + +class LambdaJob: + def __init__(self, job): + self.job = job + + def to_dict(self): + lambda_func = self.job.kwargs.get("function") + return { + "id": self.job.id, + "function": { + "id": lambda_func.id if lambda_func else None, + "threshold": self.job.kwargs.get("threshold"), + "task": self.job.kwargs.get("task") + }, + "status": self.job.get_status(), + "progress": self.job.meta.get('progress', 0), + "enqueued": self.job.enqueued_at, + "started": self.job.started_at, + "ended": self.job.ended_at, + "exc_info": self.job.exc_info + } + + def get_task(self): + return self.job.kwargs.get("task") + + def get_status(self): + return self.job.get_status() + + @property + def is_finished(self): + return self.get_status() == rq.job.JobStatus.FINISHED + + @property + def is_queued(self): + return self.get_status() == rq.job.JobStatus.QUEUED + + @property + def is_failed(self): + return self.get_status() == rq.job.JobStatus.FAILED + + @property + def is_started(self): + return self.get_status() == rq.job.JobStatus.STARTED + + @property + def is_deferred(self): + return self.get_status() == rq.job.JobStatus.DEFERRED + + @property + def is_scheduled(self): + return self.get_status() == rq.job.JobStatus.SCHEDULED + + def delete(self): + self.job.delete() + + @staticmethod + def _call_detector(function, db_task, labels, quality, threshold, mapping): + class Results: + def __init__(self, task_id): + self.task_id = task_id + self.reset() + + def append_shape(self, shape): + self.data["shapes"].append(shape) + + def submit(self): + if not self.is_empty(): + serializer = LabeledDataSerializer(data=self.data) + if serializer.is_valid(raise_exception=True): + dm.task.patch_task_data(self.task_id, serializer.data, "create") + self.reset() + + def is_empty(self): + return not (self.data["tags"] or self.data["shapes"] or self.data["tracks"]) + + def reset(self): + # TODO: need to make "tags" and "tracks" are optional + # FIXME: need to provide the correct version here + self.data = {"version": 0, "tags": [], "shapes": [], "tracks": []} + + results = Results(db_task.id) + + for frame in range(db_task.data.size): + annotations = function.invoke(db_task, data={ + "frame": frame, "quality": quality, "mapping": mapping, + "threshold": threshold}) + progress = (frame + 1) / db_task.data.size + if not LambdaJob._update_progress(progress): + break + + for anno in annotations: + label_id = labels.get(anno["label"]) + if label_id is not None: + results.append_shape({ + "frame": frame, + "label_id": label_id, + "type": anno["type"], + "occluded": False, + "points": anno["points"], + "z_order": 0, + "group": None, + "attributes": [], + "source": "auto" + }) + + # Accumulate data during 100 frames before sumbitting results. + # It is optimization to make fewer calls to our server. Also + # it isn't possible to keep all results in memory. + if frame % 100 == 0: + results.submit() + + results.submit() + + @staticmethod + # progress is in [0, 1] range + def _update_progress(progress): + job = rq.get_current_job() + # If the job has been deleted, get_status will return None. Thus it will + # exist the loop. + job.meta["progress"] = int(progress * 100) + job.save_meta() + + return job.get_status() + + + @staticmethod + def _call_reid(function, db_task, quality, threshold, max_distance): + data = dm.task.get_task_data(db_task.id) + boxes_by_frame = [[] for _ in range(db_task.data.size)] + shapes_without_boxes = [] + for shape in data["shapes"]: + if shape["type"] == str(ShapeType.RECTANGLE): + boxes_by_frame[shape["frame"]].append(shape) + else: + shapes_without_boxes.append(shape) + + paths = {} + for frame in range(db_task.data.size - 1): + boxes0 = boxes_by_frame[frame] + for box in boxes0: + if "path_id" not in box: + path_id = len(paths) + paths[path_id] = [box] + box["path_id"] = path_id + + boxes1 = boxes_by_frame[frame + 1] + if boxes0 and boxes1: + matching = function.invoke(db_task, data={ + "frame0": frame, "frame1": frame + 1, "quality": quality, + "boxes0": boxes0, "boxes1": boxes1, "threshold": threshold, + "max_distance": max_distance}) + + for idx0, idx1 in enumerate(matching): + if idx1 >= 0: + path_id = boxes0[idx0]["path_id"] + boxes1[idx1]["path_id"] = path_id + paths[path_id].append(boxes1[idx1]) + + progress = (frame + 2) / db_task.data.size + if not LambdaJob._update_progress(progress): + break + + + for box in boxes_by_frame[db_task.data.size - 1]: + if "path_id" not in box: + path_id = len(paths) + paths[path_id] = [box] + box["path_id"] = path_id + + tracks = [] + for path_id in paths: + box0 = paths[path_id][0] + tracks.append({ + "label_id": box0["label_id"], + "group": None, + "attributes": [], + "frame": box0["frame"], + "shapes": paths[path_id], + "source": str(SourceType.AUTO) + }) + + for box in tracks[-1]["shapes"]: + box.pop("id", None) + box.pop("path_id") + box.pop("group") + box.pop("label_id") + box.pop("source") + box["outside"] = False + box["attributes"] = [] + + for track in tracks: + if track["shapes"][-1]["frame"] != db_task.data.size - 1: + box = track["shapes"][-1].copy() + box["outside"] = True + box["frame"] += 1 + track["shapes"].append(box) + + if tracks: + data["shapes"] = shapes_without_boxes + data["tracks"].extend(tracks) + + serializer = LabeledDataSerializer(data=data) + if serializer.is_valid(raise_exception=True): + dm.task.put_task_data(db_task.id, serializer.data) + + @staticmethod + def __call__(function, task, quality, cleanup, **kwargs): + # TODO: need logging + db_task = TaskModel.objects.get(pk=task) + if cleanup: + dm.task.delete_task_data(db_task.id) + db_labels = db_task.label_set.prefetch_related("attributespec_set").all() + labels = {db_label.name:db_label.id for db_label in db_labels} + + if function.kind == LambdaType.DETECTOR: + LambdaJob._call_detector(function, db_task, labels, quality, + kwargs.get("threshold"), kwargs.get("mapping")) + elif function.kind == LambdaType.REID: + LambdaJob._call_reid(function, db_task, quality, + kwargs.get("threshold"), kwargs.get("max_distance")) + +def return_response(success_code=status.HTTP_200_OK): + def wrap_response(func): + @wraps(func) + def func_wrapper(*args, **kwargs): + data = None + status_code = success_code + try: + data = func(*args, **kwargs) + except requests.ConnectionError as err: + status_code = status.HTTP_503_SERVICE_UNAVAILABLE + data = str(err) + except requests.HTTPError as err: + status_code = err.response.status_code + data = str(err) + except requests.Timeout as err: + status_code = status.HTTP_504_GATEWAY_TIMEOUT + data = str(err) + except requests.RequestException as err: + status_code = status.HTTP_500_INTERNAL_SERVER_ERROR + data = str(err) + except ValidationError as err: + status_code = err.code + data = err.message + + return Response(data=data, status=status_code) + + return func_wrapper + return wrap_response + +class FunctionViewSet(viewsets.ViewSet): + lookup_value_regex = '[a-zA-Z0-9_.-]+' + lookup_field = 'func_id' + + def get_permissions(self): + http_method = self.request.method + permissions = [IsAuthenticated] + + if http_method in ["POST"]: + permissions.append(auth.TaskAccessPermission) + + return [perm() for perm in permissions] + + @return_response() + def list(self, request): + gateway = LambdaGateway() + return [f.to_dict() for f in gateway.list()] + + @return_response() + def retrieve(self, request, func_id): + gateway = LambdaGateway() + return gateway.get(func_id).to_dict() + + @return_response() + def call(self, request, func_id): + try: + task_id = request.data['task'] + db_task = TaskModel.objects.get(pk=task_id) + # Check that the user has enough permissions to read + # data from the task. + self.check_object_permissions(self.request, db_task) + except (KeyError, ObjectDoesNotExist) as err: + raise ValidationError( + '`{}` lambda function was run '.format(func_id) + + 'with wrong arguments ({})'.format(str(err)), + code=status.HTTP_400_BAD_REQUEST) + + gateway = LambdaGateway() + lambda_func = gateway.get(func_id) + + return lambda_func.invoke(db_task, request.data) + +class RequestViewSet(viewsets.ViewSet): + def get_permissions(self): + http_method = self.request.method + permissions = [IsAuthenticated] + + if http_method in ["POST", "DELETE"]: + permissions.append(auth.TaskChangePermission) + + return [perm() for perm in permissions] + + @return_response() + def list(self, request): + queue = LambdaQueue() + return [job.to_dict() for job in queue.get_jobs()] + + @return_response() + def create(self, request): + try: + function = request.data['function'] + threshold = request.data.get('threshold') + task = request.data['task'] + quality = request.data.get("quality") + cleanup = request.data.get('cleanup', False) + mapping = request.data.get('mapping') + + db_task = TaskModel.objects.get(pk=task) + # Check that the user has enough permissions to modify + # the task. + self.check_object_permissions(self.request, db_task) + except (KeyError, ObjectDoesNotExist) as err: + raise ValidationError( + '`{}` lambda function was run '.format(function) + + 'with wrong arguments ({})'.format(str(err)), + code=status.HTTP_400_BAD_REQUEST) + + gateway = LambdaGateway() + queue = LambdaQueue() + lambda_func = gateway.get(function) + job = queue.enqueue(lambda_func, threshold, task, quality, + mapping, cleanup) + + return job.to_dict() + + @return_response() + def retrieve(self, request, pk): + queue = LambdaQueue() + job = queue.fetch_job(pk) + + return job.to_dict() + + @return_response(status.HTTP_204_NO_CONTENT) + def delete(self, request, pk): + queue = LambdaQueue() + job = queue.fetch_job(pk) + job.delete() diff --git a/cvat/apps/reid/README.md b/cvat/apps/reid/README.md deleted file mode 100644 index 8cf29c50..00000000 --- a/cvat/apps/reid/README.md +++ /dev/null @@ -1,22 +0,0 @@ -# Re-Identification Application - -## About the application - -The ReID application uses deep learning model to perform an automatic bbox merging between neighbor frames. -You can use "Merge" and "Split" functionality to edit automatically generated annotation. - -## Installation - -This application will be installed automatically with the [OpenVINO](https://github.com/opencv/cvat/blob/develop/components/openvino/README.md) component. - -## Running - -For starting the ReID merge process: - -- Open an annotation job -- Open the menu -- Click the "Run ReID Merge" button -- Click the "Submit" button. Also here you can experiment with values of model threshold or maximum distance. - - Model threshold is maximum cosine distance between objects embeddings. - - Maximum distance defines a maximum radius that an object can diverge between neightbor frames. -- The process will be run. You can cancel it in the menu. diff --git a/cvat/apps/reid/__init__.py b/cvat/apps/reid/__init__.py deleted file mode 100644 index 4a9759cc..00000000 --- a/cvat/apps/reid/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from cvat.settings.base import JS_3RDPARTY - -default_app_config = 'cvat.apps.reid.apps.ReidConfig' - -JS_3RDPARTY['engine'] = JS_3RDPARTY.get('engine', []) + ['reid/js/enginePlugin.js'] diff --git a/cvat/apps/reid/apps.py b/cvat/apps/reid/apps.py deleted file mode 100644 index f6aa66e1..00000000 --- a/cvat/apps/reid/apps.py +++ /dev/null @@ -1,8 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.apps import AppConfig - -class ReidConfig(AppConfig): - name = 'cvat.apps.reid' diff --git a/cvat/apps/reid/reid.py b/cvat/apps/reid/reid.py deleted file mode 100644 index bf79bac9..00000000 --- a/cvat/apps/reid/reid.py +++ /dev/null @@ -1,227 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -import os -import rq -import cv2 -import math -import numpy -import itertools - -from openvino.inference_engine import IENetwork, IEPlugin -from scipy.optimize import linear_sum_assignment -from scipy.spatial.distance import euclidean, cosine - -from cvat.apps.engine.models import Job -from cvat.apps.engine.frame_provider import FrameProvider - - -class ReID: - __threshold = None - __max_distance = None - __frame_urls = None - __frame_boxes = None - __stop_frame = None - __plugin = None - __executable_network = None - __input_blob_name = None - __output_blob_name = None - __input_height = None - __input_width = None - - - def __init__(self, jid, data): - self.__threshold = data["threshold"] - self.__max_distance = data["maxDistance"] - - self.__frame_boxes = {} - - db_job = Job.objects.select_related('segment__task').get(pk = jid) - db_segment = db_job.segment - db_task = db_segment.task - self.__frame_iter = itertools.islice( - FrameProvider(db_task.data).get_frames(FrameProvider.Quality.ORIGINAL), - db_segment.start_frame, - db_segment.stop_frame + 1, - ) - - self.__stop_frame = db_segment.stop_frame - for frame in range(db_segment.start_frame, db_segment.stop_frame + 1): - self.__frame_boxes[frame] = [box for box in data["boxes"] if box["frame"] == frame] - - IE_PLUGINS_PATH = os.getenv('IE_PLUGINS_PATH', None) - REID_MODEL_DIR = os.getenv('REID_MODEL_DIR', None) - - if not IE_PLUGINS_PATH: - raise Exception("Environment variable 'IE_PLUGINS_PATH' isn't defined") - if not REID_MODEL_DIR: - raise Exception("Environment variable 'REID_MODEL_DIR' isn't defined") - - REID_XML = os.path.join(REID_MODEL_DIR, "reid.xml") - REID_BIN = os.path.join(REID_MODEL_DIR, "reid.bin") - - self.__plugin = IEPlugin(device="CPU", plugin_dirs=[IE_PLUGINS_PATH]) - network = IENetwork.from_ir(model=REID_XML, weights=REID_BIN) - self.__input_blob_name = next(iter(network.inputs)) - self.__output_blob_name = next(iter(network.outputs)) - self.__input_height, self.__input_width = network.inputs[self.__input_blob_name].shape[-2:] - self.__executable_network = self.__plugin.load(network=network) - del network - - - def __del__(self): - if self.__executable_network: - del self.__executable_network - self.__executable_network = None - - if self.__plugin: - del self.__plugin - self.__plugin = None - - - def __boxes_are_compatible(self, cur_box, next_box): - cur_c_x = (cur_box["points"][0] + cur_box["points"][2]) / 2 - cur_c_y = (cur_box["points"][1] + cur_box["points"][3]) / 2 - next_c_x = (next_box["points"][0] + next_box["points"][2]) / 2 - next_c_y = (next_box["points"][1] + next_box["points"][3]) / 2 - compatible_distance = euclidean([cur_c_x, cur_c_y], [next_c_x, next_c_y]) <= self.__max_distance - compatible_label = cur_box["label_id"] == next_box["label_id"] - return compatible_distance and compatible_label and "path_id" not in next_box - - - def __compute_difference(self, image_1, image_2): - image_1 = cv2.resize(image_1, (self.__input_width, self.__input_height)).transpose((2,0,1)) - image_2 = cv2.resize(image_2, (self.__input_width, self.__input_height)).transpose((2,0,1)) - - input_1 = { - self.__input_blob_name: image_1[numpy.newaxis, ...] - } - - input_2 = { - self.__input_blob_name: image_2[numpy.newaxis, ...] - } - - embedding_1 = self.__executable_network.infer(inputs = input_1)[self.__output_blob_name] - embedding_2 = self.__executable_network.infer(inputs = input_2)[self.__output_blob_name] - - embedding_1 = embedding_1.reshape(embedding_1.size) - embedding_2 = embedding_2.reshape(embedding_2.size) - - return cosine(embedding_1, embedding_2) - - - def __compute_difference_matrix(self, cur_boxes, next_boxes, cur_image, next_image): - def _int(number, upper): - return math.floor(numpy.clip(number, 0, upper - 1)) - - default_mat_value = 1000.0 - - matrix = numpy.full([len(cur_boxes), len(next_boxes)], default_mat_value, dtype=float) - for row, cur_box in enumerate(cur_boxes): - cur_width = cur_image.shape[1] - cur_height = cur_image.shape[0] - cur_xtl, cur_xbr, cur_ytl, cur_ybr = ( - _int(cur_box["points"][0], cur_width), _int(cur_box["points"][2], cur_width), - _int(cur_box["points"][1], cur_height), _int(cur_box["points"][3], cur_height) - ) - - for col, next_box in enumerate(next_boxes): - next_box = next_boxes[col] - next_width = next_image.shape[1] - next_height = next_image.shape[0] - next_xtl, next_xbr, next_ytl, next_ybr = ( - _int(next_box["points"][0], next_width), _int(next_box["points"][2], next_width), - _int(next_box["points"][1], next_height), _int(next_box["points"][3], next_height) - ) - - if not self.__boxes_are_compatible(cur_box, next_box): - continue - - crop_1 = cur_image[cur_ytl:cur_ybr, cur_xtl:cur_xbr] - crop_2 = next_image[next_ytl:next_ybr, next_xtl:next_xbr] - matrix[row][col] = self.__compute_difference(crop_1, crop_2) - - return matrix - - - def __apply_matching(self): - frames = sorted(list(self.__frame_boxes.keys())) - job = rq.get_current_job() - box_tracks = {} - - next_image = cv2.imdecode(numpy.fromstring((next(self.__frame_iter)[0]).read(), numpy.uint8), cv2.IMREAD_COLOR) - for idx, (cur_frame, next_frame) in enumerate(list(zip(frames[:-1], frames[1:]))): - job.refresh() - if "cancel" in job.meta: - return None - - job.meta["progress"] = idx * 100.0 / len(frames) - job.save_meta() - - cur_boxes = self.__frame_boxes[cur_frame] - next_boxes = self.__frame_boxes[next_frame] - - for box in cur_boxes: - if "path_id" not in box: - path_id = len(box_tracks) - box_tracks[path_id] = [box] - box["path_id"] = path_id - - if not (len(cur_boxes) and len(next_boxes)): - continue - - cur_image = next_image - next_image = cv2.imdecode(numpy.fromstring((next(self.__frame_iter)[0]).read(), numpy.uint8), cv2.IMREAD_COLOR) - difference_matrix = self.__compute_difference_matrix(cur_boxes, next_boxes, cur_image, next_image) - cur_idxs, next_idxs = linear_sum_assignment(difference_matrix) - for idx, cur_idx in enumerate(cur_idxs): - if (difference_matrix[cur_idx][next_idxs[idx]]) <= self.__threshold: - cur_box = cur_boxes[cur_idx] - next_box = next_boxes[next_idxs[idx]] - next_box["path_id"] = cur_box["path_id"] - box_tracks[cur_box["path_id"]].append(next_box) - - for box in self.__frame_boxes[frames[-1]]: - if "path_id" not in box: - path_id = len(box_tracks) - box["path_id"] = path_id - box_tracks[path_id] = [box] - - return box_tracks - - - def run(self): - box_tracks = self.__apply_matching() - output = [] - - # ReID process has been canceled - if box_tracks is None: - return - - for path_id in box_tracks: - output.append({ - "label_id": box_tracks[path_id][0]["label_id"], - "group": None, - "attributes": [], - "frame": box_tracks[path_id][0]["frame"], - "shapes": box_tracks[path_id] - }) - - for box in output[-1]["shapes"]: - if "id" in box: - del box["id"] - del box["path_id"] - del box["group"] - del box["label_id"] - box["outside"] = False - box["attributes"] = [] - - for path in output: - if path["shapes"][-1]["frame"] != self.__stop_frame: - copy = path["shapes"][-1].copy() - copy["outside"] = True - copy["frame"] += 1 - path["shapes"].append(copy) - - return output diff --git a/cvat/apps/reid/static/reid/js/enginePlugin.js b/cvat/apps/reid/static/reid/js/enginePlugin.js deleted file mode 100644 index 28fabb82..00000000 --- a/cvat/apps/reid/static/reid/js/enginePlugin.js +++ /dev/null @@ -1,174 +0,0 @@ -/* - * Copyright (C) 2018 Intel Corporation - * - * SPDX-License-Identifier: MIT - */ - -/* global showMessage userConfirm */ - - -document.addEventListener('DOMContentLoaded', () => { - async function run(overlay, cancelButton, thresholdInput, distanceInput) { - const collection = window.cvat.data.get(); - const data = { - threshold: +thresholdInput.prop('value'), - maxDistance: +distanceInput.prop('value'), - boxes: collection.shapes.filter(el => el.type === 'rectangle'), - }; - - overlay.removeClass('hidden'); - cancelButton.prop('disabled', true); - - async function checkCallback() { - let jobData = null; - try { - jobData = await $.get(`/reid/check/${window.cvat.job.id}`); - } catch (errorData) { - overlay.addClass('hidden'); - const message = `Can not check ReID merge. Code: ${errorData.status}. ` - + `Message: ${errorData.responseText || errorData.statusText}`; - showMessage(message); - } - - if (jobData.progress) { - cancelButton.text(`Cancel ReID Merge (${jobData.progress.toString().slice(0, 4)}%)`); - } - - if (['queued', 'started'].includes(jobData.status)) { - setTimeout(checkCallback, 1000); - } else { - overlay.addClass('hidden'); - - if (jobData.status === 'finished') { - if (jobData.result) { - const result = JSON.parse(jobData.result); - collection.shapes = collection.shapes - .filter(el => el.type !== 'rectangle'); - collection.tracks = collection.tracks - .concat(result); - - window.cvat.data.clear(); - window.cvat.data.set(collection); - - showMessage('ReID merge has done.'); - } else { - showMessage('ReID merge been canceled.'); - } - } else if (jobData.status === 'failed') { - const message = `ReID merge has fallen. Error: '${jobData.stderr}'`; - showMessage(message); - } else { - let message = `Check request returned "${jobData.status}" status.`; - if (jobData.stderr) { - message += ` Error: ${jobData.stderr}`; - } - showMessage(message); - } - } - } - - try { - await $.ajax({ - url: `/reid/start/job/${window.cvat.job.id}`, - type: 'POST', - data: JSON.stringify(data), - contentType: 'application/json', - }); - - setTimeout(checkCallback, 1000); - } catch (errorData) { - overlay.addClass('hidden'); - const message = `Can not start ReID merge. Code: ${errorData.status}. ` - + `Message: ${errorData.responseText || errorData.statusText}`; - showMessage(message); - } finally { - cancelButton.prop('disabled', false); - } - } - - async function cancel(overlay, cancelButton) { - cancelButton.prop('disabled', true); - try { - await $.get(`/reid/cancel/${window.cvat.job.id}`); - overlay.addClass('hidden'); - cancelButton.text('Cancel ReID Merge (0%)'); - } catch (errorData) { - const message = `Can not cancel ReID process. Code: ${errorData.status}. Message: ${errorData.responseText || errorData.statusText}`; - showMessage(message); - } finally { - cancelButton.prop('disabled', false); - } - } - - const buttonsUI = $('#engineMenuButtons'); - const reidWindowId = 'reidSubmitWindow'; - const reidThresholdValueId = 'reidThresholdValue'; - const reidDistanceValueId = 'reidDistanceValue'; - const reidCancelMergeId = 'reidCancelMerge'; - const reidSubmitMergeId = 'reidSubmitMerge'; - const reidCancelButtonId = 'reidCancelReID'; - const reidOverlay = 'reidOverlay'; - - $('').on('click', () => { - $('#annotationMenu').addClass('hidden'); - $(`#${reidWindowId}`).removeClass('hidden'); - }).addClass('menuButton semiBold h2').prependTo(buttonsUI); - - $(` - - `).appendTo('body'); - - $(` - - `).appendTo('body'); - - $(`#${reidCancelMergeId}`).on('click', () => { - $(`#${reidWindowId}`).addClass('hidden'); - }); - - $(`#${reidCancelButtonId}`).on('click', () => { - userConfirm('ReID process will be canceld. Are you sure?', () => { - cancel($(`#${reidOverlay}`), $(`#${reidCancelButtonId}`)); - }); - }); - - $(`#${reidSubmitMergeId}`).on('click', () => { - $(`#${reidWindowId}`).addClass('hidden'); - run($(`#${reidOverlay}`), $(`#${reidCancelButtonId}`), - $(`#${reidThresholdValueId}`), $(`#${reidDistanceValueId}`)) - .catch((error) => { - setTimeout(() => { - throw error; - }); - }); - }); -}); diff --git a/cvat/apps/reid/urls.py b/cvat/apps/reid/urls.py deleted file mode 100644 index 431b1119..00000000 --- a/cvat/apps/reid/urls.py +++ /dev/null @@ -1,13 +0,0 @@ -# Copyright (C) 2018-2020 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.urls import path -from . import views - -urlpatterns = [ - path('start/job/', views.start), - path('cancel/', views.cancel), - path('check/', views.check), - path('enabled', views.enabled), -] diff --git a/cvat/apps/reid/views.py b/cvat/apps/reid/views.py deleted file mode 100644 index 100151ee..00000000 --- a/cvat/apps/reid/views.py +++ /dev/null @@ -1,99 +0,0 @@ -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.http import HttpResponse, HttpResponseBadRequest, JsonResponse -from cvat.apps.authentication.decorators import login_required -from rules.contrib.views import permission_required, objectgetter - -from cvat.apps.engine.models import Job -from cvat.apps.reid.reid import ReID - -import django_rq -import json -import rq - - -def _create_thread(jid, data): - job = rq.get_current_job() - reid_obj = ReID(jid, data) - job.meta["result"] = json.dumps(reid_obj.run()) - job.save_meta() - - -@login_required -@permission_required(perm=["engine.job.change"], - fn=objectgetter(Job, 'jid'), raise_exception=True) -def start(request, jid): - try: - data = json.loads(request.body.decode('utf-8')) - queue = django_rq.get_queue("low") - job_id = "reid.create.{}".format(jid) - job = queue.fetch_job(job_id) - if job is not None and (job.is_started or job.is_queued): - raise Exception('ReID process has been already started') - queue.enqueue_call(func=_create_thread, args=(jid, data), job_id=job_id, timeout=7200) - job = queue.fetch_job(job_id) - job.meta = {} - job.save_meta() - except Exception as e: - return HttpResponseBadRequest(str(e)) - - return HttpResponse() - - -@login_required -@permission_required(perm=["engine.job.change"], - fn=objectgetter(Job, 'jid'), raise_exception=True) -def check(request, jid): - try: - queue = django_rq.get_queue("low") - rq_id = "reid.create.{}".format(jid) - job = queue.fetch_job(rq_id) - if job is not None and "cancel" in job.meta: - return JsonResponse({"status": "finished"}) - data = {} - if job is None: - data["status"] = "unknown" - elif job.is_queued: - data["status"] = "queued" - elif job.is_started: - data["status"] = "started" - if "progress" in job.meta: - data["progress"] = job.meta["progress"] - elif job.is_finished: - data["status"] = "finished" - data["result"] = job.meta["result"] - job.delete() - else: - data["status"] = "failed" - data["stderr"] = job.exc_info - job.delete() - - except Exception as ex: - data["stderr"] = str(ex) - data["status"] = "unknown" - - return JsonResponse(data) - - -@login_required -@permission_required(perm=["engine.job.change"], - fn=objectgetter(Job, 'jid'), raise_exception=True) -def cancel(request, jid): - try: - queue = django_rq.get_queue("low") - rq_id = "reid.create.{}".format(jid) - job = queue.fetch_job(rq_id) - if job is None or job.is_finished or job.is_failed: - raise Exception("Task is not being annotated currently") - elif "cancel" not in job.meta: - job.meta["cancel"] = True - job.save_meta() - except Exception as e: - return HttpResponseBadRequest(str(e)) - - return HttpResponse() - -def enabled(request): - return HttpResponse() diff --git a/cvat/apps/restrictions/migrations/__init__.py b/cvat/apps/restrictions/migrations/__init__.py deleted file mode 100644 index f19d9bef..00000000 --- a/cvat/apps/restrictions/migrations/__init__.py +++ /dev/null @@ -1,3 +0,0 @@ -# Copyright (C) 2020 Intel Corporation -# -# SPDX-License-Identifier: MIT diff --git a/cvat/apps/tf_annotation/__init__.py b/cvat/apps/tf_annotation/__init__.py deleted file mode 100644 index a0fca4cb..00000000 --- a/cvat/apps/tf_annotation/__init__.py +++ /dev/null @@ -1,4 +0,0 @@ - -# Copyright (C) 2018-2019 Intel Corporation -# -# SPDX-License-Identifier: MIT diff --git a/cvat/apps/tf_annotation/admin.py b/cvat/apps/tf_annotation/admin.py deleted file mode 100644 index af8dfc47..00000000 --- a/cvat/apps/tf_annotation/admin.py +++ /dev/null @@ -1,9 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.contrib import admin - -# Register your models here. - diff --git a/cvat/apps/tf_annotation/apps.py b/cvat/apps/tf_annotation/apps.py deleted file mode 100644 index d07a37b1..00000000 --- a/cvat/apps/tf_annotation/apps.py +++ /dev/null @@ -1,11 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.apps import AppConfig - - -class TFAnnotationConfig(AppConfig): - name = 'tf_annotation' - diff --git a/cvat/apps/tf_annotation/migrations/__init__.py b/cvat/apps/tf_annotation/migrations/__init__.py deleted file mode 100644 index d8e62e54..00000000 --- a/cvat/apps/tf_annotation/migrations/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - diff --git a/cvat/apps/tf_annotation/models.py b/cvat/apps/tf_annotation/models.py deleted file mode 100644 index cdf3b082..00000000 --- a/cvat/apps/tf_annotation/models.py +++ /dev/null @@ -1,9 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.db import models - -# Create your models here. - diff --git a/cvat/apps/tf_annotation/tests.py b/cvat/apps/tf_annotation/tests.py deleted file mode 100644 index 53bc3b7a..00000000 --- a/cvat/apps/tf_annotation/tests.py +++ /dev/null @@ -1,9 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.test import TestCase - -# Create your tests here. - diff --git a/cvat/apps/tf_annotation/urls.py b/cvat/apps/tf_annotation/urls.py deleted file mode 100644 index f84019be..00000000 --- a/cvat/apps/tf_annotation/urls.py +++ /dev/null @@ -1,14 +0,0 @@ - -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.urls import path -from . import views - -urlpatterns = [ - path('create/task/', views.create), - path('check/task/', views.check), - path('cancel/task/', views.cancel), - path('meta/get', views.get_meta_info), -] diff --git a/cvat/apps/tf_annotation/views.py b/cvat/apps/tf_annotation/views.py deleted file mode 100644 index e112860e..00000000 --- a/cvat/apps/tf_annotation/views.py +++ /dev/null @@ -1,347 +0,0 @@ - -# Copyright (C) 2018-2020 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from django.http import HttpResponse, JsonResponse, HttpResponseBadRequest -from rest_framework.decorators import api_view -from rules.contrib.views import permission_required, objectgetter -from cvat.apps.authentication.decorators import login_required -from cvat.apps.dataset_manager.task import put_task_data -from cvat.apps.engine.models import Task as TaskModel -from cvat.apps.engine.serializers import LabeledDataSerializer -from cvat.apps.engine.frame_provider import FrameProvider - -import django_rq -import os -import rq - -import tensorflow as tf -import numpy as np - -from PIL import Image -from cvat.apps.engine.log import slogger - - -def load_image_into_numpy(image): - (im_width, im_height) = image.size - return np.array(image.getdata()).reshape((im_height, im_width, 3)).astype(np.uint8) - - -def run_inference_engine_annotation(image_list, labels_mapping, treshold): - from cvat.apps.auto_annotation.inference_engine import make_plugin_or_core, make_network - - def _normalize_box(box, w, h, dw, dh): - xmin = min(int(box[0] * dw * w), w) - ymin = min(int(box[1] * dh * h), h) - xmax = min(int(box[2] * dw * w), w) - ymax = min(int(box[3] * dh * h), h) - return xmin, ymin, xmax, ymax - - result = {} - MODEL_PATH = os.environ.get('TF_ANNOTATION_MODEL_PATH') - if MODEL_PATH is None: - raise OSError('Model path env not found in the system.') - - core_or_plugin = make_plugin_or_core() - network = make_network('{}.xml'.format(MODEL_PATH), '{}.bin'.format(MODEL_PATH)) - input_blob_name = next(iter(network.inputs)) - output_blob_name = next(iter(network.outputs)) - if getattr(core_or_plugin, 'load_network', False): - executable_network = core_or_plugin.load_network(network, 'CPU') - else: - executable_network = core_or_plugin.load(network=network) - job = rq.get_current_job() - - del network - - try: - for image_num, im_name in enumerate(image_list): - - job.refresh() - if 'cancel' in job.meta: - del job.meta['cancel'] - job.save() - return None - job.meta['progress'] = image_num * 100 / len(image_list) - job.save_meta() - - image = Image.open(im_name) - width, height = image.size - image.thumbnail((600, 600), Image.ANTIALIAS) - dwidth, dheight = 600 / image.size[0], 600 / image.size[1] - image = image.crop((0, 0, 600, 600)) - image_np = load_image_into_numpy(image) - image_np = np.transpose(image_np, (2, 0, 1)) - prediction = executable_network.infer(inputs={input_blob_name: image_np[np.newaxis, ...]})[output_blob_name][0][0] - for obj in prediction: - obj_class = int(obj[1]) - obj_value = obj[2] - if obj_class and obj_class in labels_mapping and obj_value >= treshold: - label = labels_mapping[obj_class] - if label not in result: - result[label] = [] - xmin, ymin, xmax, ymax = _normalize_box(obj[3:7], width, height, dwidth, dheight) - result[label].append([image_num, xmin, ymin, xmax, ymax]) - finally: - del executable_network - del plugin - - return result - - -def run_tensorflow_annotation(frame_provider, labels_mapping, treshold): - def _normalize_box(box, w, h): - xmin = int(box[1] * w) - ymin = int(box[0] * h) - xmax = int(box[3] * w) - ymax = int(box[2] * h) - return xmin, ymin, xmax, ymax - - result = {} - model_path = os.environ.get('TF_ANNOTATION_MODEL_PATH') - if model_path is None: - raise OSError('Model path env not found in the system.') - job = rq.get_current_job() - - detection_graph = tf.Graph() - with detection_graph.as_default(): - od_graph_def = tf.GraphDef() - with tf.gfile.GFile(model_path + '.pb', 'rb') as fid: - serialized_graph = fid.read() - od_graph_def.ParseFromString(serialized_graph) - tf.import_graph_def(od_graph_def, name='') - - try: - config = tf.ConfigProto() - config.gpu_options.allow_growth=True - sess = tf.Session(graph=detection_graph, config=config) - frames = frame_provider.get_frames(frame_provider.Quality.ORIGINAL) - for image_num, (image, _) in enumerate(frames): - - job.refresh() - if 'cancel' in job.meta: - del job.meta['cancel'] - job.save() - return None - job.meta['progress'] = image_num * 100 / len(frame_provider) - job.save_meta() - - image = Image.open(image) - width, height = image.size - if width > 1920 or height > 1080: - image = image.resize((width // 2, height // 2), Image.ANTIALIAS) - image_np = load_image_into_numpy(image) - image_np_expanded = np.expand_dims(image_np, axis=0) - - image_tensor = detection_graph.get_tensor_by_name('image_tensor:0') - boxes = detection_graph.get_tensor_by_name('detection_boxes:0') - scores = detection_graph.get_tensor_by_name('detection_scores:0') - classes = detection_graph.get_tensor_by_name('detection_classes:0') - num_detections = detection_graph.get_tensor_by_name('num_detections:0') - (boxes, scores, classes, num_detections) = sess.run([boxes, scores, classes, num_detections], feed_dict={image_tensor: image_np_expanded}) - - for i in range(len(classes[0])): - if classes[0][i] in labels_mapping.keys(): - if scores[0][i] >= treshold: - xmin, ymin, xmax, ymax = _normalize_box(boxes[0][i], width, height) - label = labels_mapping[classes[0][i]] - if label not in result: - result[label] = [] - result[label].append([image_num, xmin, ymin, xmax, ymax]) - finally: - sess.close() - del sess - return result - -def convert_to_cvat_format(data): - result = { - "tracks": [], - "shapes": [], - "tags": [], - "version": 0, - } - - for label in data: - boxes = data[label] - for box in boxes: - result['shapes'].append({ - "type": "rectangle", - "label_id": label, - "frame": box[0], - "points": [box[1], box[2], box[3], box[4]], - "z_order": 0, - "group": None, - "occluded": False, - "attributes": [], - "source": "auto", - }) - - return result - -def create_thread(tid, labels_mapping, user): - try: - TRESHOLD = 0.5 - # Init rq job - job = rq.get_current_job() - job.meta['progress'] = 0 - job.save_meta() - # Get job indexes and segment length - db_task = TaskModel.objects.get(pk=tid) - # Get image list - image_list = FrameProvider(db_task.data) - - # Run auto annotation by tf - result = None - slogger.glob.info("tf annotation with tensorflow framework for task {}".format(tid)) - result = run_tensorflow_annotation(image_list, labels_mapping, TRESHOLD) - - if result is None: - slogger.glob.info('tf annotation for task {} canceled by user'.format(tid)) - return - - # Modify data format and save - result = convert_to_cvat_format(result) - serializer = LabeledDataSerializer(data = result) - if serializer.is_valid(raise_exception=True): - put_task_data(tid, result) - slogger.glob.info('tf annotation for task {} done'.format(tid)) - except Exception as ex: - try: - slogger.task[tid].exception('exception was occured during tf annotation of the task', exc_info=True) - except: - slogger.glob.exception('exception was occured during tf annotation of the task {}'.format(tid), exc_info=True) - raise ex - -@api_view(['POST']) -@login_required -def get_meta_info(request): - try: - queue = django_rq.get_queue('low') - tids = request.data - result = {} - for tid in tids: - job = queue.fetch_job('tf_annotation.create/{}'.format(tid)) - if job is not None: - result[tid] = { - "active": job.is_queued or job.is_started, - "success": not job.is_failed - } - - return JsonResponse(result) - except Exception as ex: - slogger.glob.exception('exception was occured during tf meta request', exc_info=True) - return HttpResponseBadRequest(str(ex)) - - -@login_required -@permission_required(perm=['engine.task.change'], - fn=objectgetter(TaskModel, 'tid'), raise_exception=True) -def create(request, tid): - slogger.glob.info('tf annotation create request for task {}'.format(tid)) - try: - db_task = TaskModel.objects.get(pk=tid) - queue = django_rq.get_queue('low') - job = queue.fetch_job('tf_annotation.create/{}'.format(tid)) - if job is not None and (job.is_started or job.is_queued): - raise Exception("The process is already running") - - db_labels = db_task.label_set.prefetch_related('attributespec_set').all() - db_labels = {db_label.id:db_label.name for db_label in db_labels} - - tf_annotation_labels = { - "person": 1, "bicycle": 2, "car": 3, "motorcycle": 4, "airplane": 5, - "bus": 6, "train": 7, "truck": 8, "boat": 9, "traffic_light": 10, - "fire_hydrant": 11, "stop_sign": 13, "parking_meter": 14, "bench": 15, - "bird": 16, "cat": 17, "dog": 18, "horse": 19, "sheep": 20, "cow": 21, - "elephant": 22, "bear": 23, "zebra": 24, "giraffe": 25, "backpack": 27, - "umbrella": 28, "handbag": 31, "tie": 32, "suitcase": 33, "frisbee": 34, - "skis": 35, "snowboard": 36, "sports_ball": 37, "kite": 38, "baseball_bat": 39, - "baseball_glove": 40, "skateboard": 41, "surfboard": 42, "tennis_racket": 43, - "bottle": 44, "wine_glass": 46, "cup": 47, "fork": 48, "knife": 49, "spoon": 50, - "bowl": 51, "banana": 52, "apple": 53, "sandwich": 54, "orange": 55, "broccoli": 56, - "carrot": 57, "hot_dog": 58, "pizza": 59, "donut": 60, "cake": 61, "chair": 62, - "couch": 63, "potted_plant": 64, "bed": 65, "dining_table": 67, "toilet": 70, - "tv": 72, "laptop": 73, "mouse": 74, "remote": 75, "keyboard": 76, "cell_phone": 77, - "microwave": 78, "oven": 79, "toaster": 80, "sink": 81, "refrigerator": 83, - "book": 84, "clock": 85, "vase": 86, "scissors": 87, "teddy_bear": 88, "hair_drier": 89, - "toothbrush": 90 - } - - labels_mapping = {} - for key, labels in db_labels.items(): - if labels in tf_annotation_labels.keys(): - labels_mapping[tf_annotation_labels[labels]] = key - - if not len(labels_mapping.values()): - raise Exception('No labels found for tf annotation') - - # Run tf annotation job - queue.enqueue_call(func=create_thread, - args=(tid, labels_mapping, request.user), - job_id='tf_annotation.create/{}'.format(tid), - timeout=604800) # 7 days - - slogger.task[tid].info('tensorflow annotation job enqueued with labels {}'.format(labels_mapping)) - - except Exception as ex: - try: - slogger.task[tid].exception("exception was occured during tensorflow annotation request", exc_info=True) - except: - pass - return HttpResponseBadRequest(str(ex)) - - return HttpResponse() - -@login_required -@permission_required(perm=['engine.task.access'], - fn=objectgetter(TaskModel, 'tid'), raise_exception=True) -def check(request, tid): - try: - queue = django_rq.get_queue('low') - job = queue.fetch_job('tf_annotation.create/{}'.format(tid)) - if job is not None and 'cancel' in job.meta: - return JsonResponse({'status': 'finished'}) - data = {} - if job is None: - data['status'] = 'unknown' - elif job.is_queued: - data['status'] = 'queued' - elif job.is_started: - data['status'] = 'started' - data['progress'] = job.meta['progress'] - elif job.is_finished: - data['status'] = 'finished' - job.delete() - else: - data['status'] = 'failed' - data['stderr'] = job.exc_info - job.delete() - - except Exception: - data['status'] = 'unknown' - - return JsonResponse(data) - - -@login_required -@permission_required(perm=['engine.task.change'], - fn=objectgetter(TaskModel, 'tid'), raise_exception=True) -def cancel(request, tid): - try: - queue = django_rq.get_queue('low') - job = queue.fetch_job('tf_annotation.create/{}'.format(tid)) - if job is None or job.is_finished or job.is_failed: - raise Exception('Task is not being annotated currently') - elif 'cancel' not in job.meta: - job.meta['cancel'] = True - job.save() - - except Exception as ex: - try: - slogger.task[tid].exception("cannot cancel tensorflow annotation for task #{}".format(tid), exc_info=True) - except: - pass - return HttpResponseBadRequest(str(ex)) - - return HttpResponse() diff --git a/cvat/requirements/base.txt b/cvat/requirements/base.txt index cc650f3f..74d3c137 100644 --- a/cvat/requirements/base.txt +++ b/cvat/requirements/base.txt @@ -4,7 +4,7 @@ django-appconf==1.0.4 django-auth-ldap==2.2.0 django-cacheops==5.0.1 django-compressor==2.4 -django-rq==2.0.0 +django-rq==2.3.2 EasyProcess==0.3 Pillow==7.2.0 numpy==1.18.5 @@ -15,7 +15,7 @@ rcssmin==1.0.6 redis==3.5.3 rjsmin==1.1.0 requests==2.24.0 -rq==1.0.0 +rq==1.4.2 rq-scheduler==0.10.0 scipy==1.4.1 sqlparse==0.3.1 @@ -28,7 +28,7 @@ GitPython==3.1.3 coreapi==2.3.3 django-filter==2.3.0 Markdown==3.2.2 -djangorestframework==3.11.0 +djangorestframework==3.11.1 Pygments==2.6.1 drf-yasg==1.17.1 Shapely==1.7.0 @@ -40,7 +40,7 @@ matplotlib==3.0.3 scikit-image==0.15.0 tensorflow==2.2.0 keras==2.4.2 -opencv-python==4.3.0.36 +opencv-python==4.4.0.42 h5py==2.10.0 imgaug==0.4.0 django-cors-headers==3.4.0 diff --git a/cvat/requirements/development.txt b/cvat/requirements/development.txt index 8efb546a..92b2272d 100644 --- a/cvat/requirements/development.txt +++ b/cvat/requirements/development.txt @@ -4,10 +4,10 @@ isort==4.3.21 lazy-object-proxy==1.5.1 mccabe==0.6.1 pylint==2.5.3 -pylint-django==2.2.0 +pylint-django==2.3.0 pylint-plugin-utils==0.6 rope==0.17.0 wrapt==1.12.1 -django-extensions==3.0.3 +django-extensions==3.0.5 Werkzeug==1.0.1 snakeviz==2.1.0 diff --git a/cvat/requirements/staging.txt b/cvat/requirements/staging.txt index 8af47209..bc8e8c2c 100644 --- a/cvat/requirements/staging.txt +++ b/cvat/requirements/staging.txt @@ -1,2 +1,2 @@ -r production.txt -django-silk==4.0.1 \ No newline at end of file +django-silk==4.1.0 \ No newline at end of file diff --git a/cvat/requirements/testing.txt b/cvat/requirements/testing.txt index 25e85bb3..dd142aab 100644 --- a/cvat/requirements/testing.txt +++ b/cvat/requirements/testing.txt @@ -1,5 +1,5 @@ -r development.txt -fakeredis==1.4.1 +fakeredis==1.4.2 # Fix dependencies for fakeredis 1.1.0 # Pip will not reinstall six package if it is installed already six==1.15.0 diff --git a/cvat/settings/base.py b/cvat/settings/base.py index 3f161fbb..b9c5b0e5 100644 --- a/cvat/settings/base.py +++ b/cvat/settings/base.py @@ -82,10 +82,6 @@ try: except Exception: pass -# Application definition -JS_3RDPARTY = {} -CSS_3RDPARTY = {} - INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', @@ -99,6 +95,7 @@ INSTALLED_APPS = [ 'cvat.apps.engine', 'cvat.apps.git', 'cvat.apps.restrictions', + 'cvat.apps.lambda_manager', 'django_rq', 'compressor', 'cacheops', @@ -152,7 +149,7 @@ REST_FRAMEWORK = { 'rest_framework.throttling.AnonRateThrottle', ], 'DEFAULT_THROTTLE_RATES': { - 'anon': '100/hour', + 'anon': '100/minute', }, } @@ -160,25 +157,9 @@ REST_AUTH_REGISTER_SERIALIZERS = { 'REGISTER_SERIALIZER': 'cvat.apps.restrictions.serializers.RestrictedRegisterSerializer' } -if 'yes' == os.environ.get('TF_ANNOTATION', 'no'): - INSTALLED_APPS += ['cvat.apps.tf_annotation'] - -if 'yes' == os.environ.get('OPENVINO_TOOLKIT', 'no'): - INSTALLED_APPS += ['cvat.apps.auto_annotation'] - -if 'yes' == os.environ.get('OPENVINO_TOOLKIT', 'no') and os.environ.get('REID_MODEL_DIR', ''): - INSTALLED_APPS += ['cvat.apps.reid'] - -if 'yes' == os.environ.get('WITH_DEXTR', 'no'): - INSTALLED_APPS += ['cvat.apps.dextr_segmentation'] - if os.getenv('DJANGO_LOG_VIEWER_HOST'): INSTALLED_APPS += ['cvat.apps.log_viewer'] -# new feature by Mohammad -if 'yes' == os.environ.get('AUTO_SEGMENTATION', 'no'): - INSTALLED_APPS += ['cvat.apps.auto_segmentation'] - MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', @@ -224,7 +205,7 @@ WSGI_APPLICATION = 'cvat.wsgi.application' # Django Auth DJANGO_AUTH_TYPE = 'BASIC' DJANGO_AUTH_DEFAULT_GROUPS = [] -LOGIN_URL = 'login' +LOGIN_URL = 'rest_login' LOGIN_REDIRECT_URL = '/' AUTH_LOGIN_NOTE = '

Have not registered yet? Register here.

' @@ -235,6 +216,7 @@ AUTHENTICATION_BACKENDS = [ # https://github.com/pennersr/django-allauth ACCOUNT_EMAIL_VERIFICATION = 'none' +OLD_PASSWORD_FIELD_ENABLED = True # Django-RQ # https://github.com/rq/django-rq @@ -254,6 +236,13 @@ RQ_QUEUES = { } } +NUCLIO = { + 'SCHEME': 'http', + 'HOST': 'localhost', + 'PORT': 8070, + 'DEFAULT_TIMEOUT': 120 +} + RQ_SHOW_ADMIN_LINK = True RQ_EXCEPTION_HANDLERS = ['cvat.apps.engine.views.rq_handler'] diff --git a/cvat/settings/production.py b/cvat/settings/production.py index ae059bee..d6cea898 100644 --- a/cvat/settings/production.py +++ b/cvat/settings/production.py @@ -10,6 +10,8 @@ INSTALLED_APPS += [ 'mod_wsgi.server', ] +NUCLIO['HOST'] = os.getenv('CVAT_NUCLIO_HOST', 'nuclio') + for key in RQ_QUEUES: RQ_QUEUES[key]['HOST'] = os.getenv('CVAT_REDIS_HOST', 'cvat_redis') diff --git a/cvat/urls.py b/cvat/urls.py index 6ae59f6b..0d652e9b 100644 --- a/cvat/urls.py +++ b/cvat/urls.py @@ -31,27 +31,14 @@ urlpatterns = [ path('documentation/', include('cvat.apps.documentation.urls')), ] -if apps.is_installed('cvat.apps.tf_annotation'): - urlpatterns.append(path('tensorflow/annotation/', include('cvat.apps.tf_annotation.urls'))) - if apps.is_installed('cvat.apps.git'): urlpatterns.append(path('git/repository/', include('cvat.apps.git.urls'))) -if apps.is_installed('cvat.apps.reid'): - urlpatterns.append(path('reid/', include('cvat.apps.reid.urls'))) - -if apps.is_installed('cvat.apps.auto_annotation'): - urlpatterns.append(path('auto_annotation/', include('cvat.apps.auto_annotation.urls'))) - -if apps.is_installed('cvat.apps.dextr_segmentation'): - urlpatterns.append(path('dextr/', include('cvat.apps.dextr_segmentation.urls'))) - if apps.is_installed('cvat.apps.log_viewer'): urlpatterns.append(path('analytics/', include('cvat.apps.log_viewer.urls'))) +if apps.is_installed('cvat.apps.lambda_manager'): + urlpatterns.append(path('', include('cvat.apps.lambda_manager.urls'))) + if apps.is_installed('silk'): urlpatterns.append(path('profiler/', include('silk.urls'))) - -# new feature by Mohammad -if apps.is_installed('cvat.apps.auto_segmentation'): - urlpatterns.append(path('tensorflow/segmentation/', include('cvat.apps.auto_segmentation.urls'))) diff --git a/cvat_proxy/conf.d/cvat.conf.template b/cvat_proxy/conf.d/cvat.conf.template index 084ce189..287f7284 100644 --- a/cvat_proxy/conf.d/cvat.conf.template +++ b/cvat_proxy/conf.d/cvat.conf.template @@ -12,7 +12,7 @@ server { proxy_set_header Host $http_host; proxy_pass_header Set-Cookie; - location ~* /api/.*|git/.*|tensorflow/.*|auto_annotation/.*|analytics/.*|static/.*|admin|admin/.*|documentation/.*|dextr/.*|reid/.* { + location ~* /api/.*|git/.*|analytics/.*|static/.*|admin|admin/.*|documentation/.* { proxy_pass http://cvat:8080; } diff --git a/datumaro/.gitignore b/datumaro/.gitignore new file mode 100644 index 00000000..17c3ea8b --- /dev/null +++ b/datumaro/.gitignore @@ -0,0 +1 @@ +/datumaro.egg-info diff --git a/datumaro/datumaro/cli/__main__.py b/datumaro/datumaro/cli/__main__.py index a2946e96..fabe43f8 100644 --- a/datumaro/datumaro/cli/__main__.py +++ b/datumaro/datumaro/cli/__main__.py @@ -68,6 +68,7 @@ def make_parser(): ('remove', commands.remove, "Remove source from project"), ('export', commands.export, "Export project"), ('explain', commands.explain, "Run Explainable AI algorithm for model"), + ('merge', commands.merge, "Merge datasets"), ('convert', commands.convert, "Convert dataset"), ] diff --git a/datumaro/datumaro/cli/commands/__init__.py b/datumaro/datumaro/cli/commands/__init__.py index 3c3bffe6..7249842e 100644 --- a/datumaro/datumaro/cli/commands/__init__.py +++ b/datumaro/datumaro/cli/commands/__init__.py @@ -3,4 +3,4 @@ # # SPDX-License-Identifier: MIT -from . import add, create, explain, export, remove, convert +from . import add, create, explain, export, remove, merge, convert diff --git a/datumaro/datumaro/cli/commands/merge.py b/datumaro/datumaro/cli/commands/merge.py new file mode 100644 index 00000000..2583cd86 --- /dev/null +++ b/datumaro/datumaro/cli/commands/merge.py @@ -0,0 +1,124 @@ + +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import argparse +import json +import logging as log +import os.path as osp +from collections import OrderedDict + +from datumaro.components.project import Project +from datumaro.components.operations import (IntersectMerge, + QualityError, MergeError) + +from ..util import at_least, MultilineFormatter, CliException +from ..util.project import generate_next_file_name, load_project + + +def build_parser(parser_ctor=argparse.ArgumentParser): + parser = parser_ctor(help="Merge few projects", + description=""" + Merges multiple datasets into one. This can be useful if you + have few annotations and wish to merge them, + taking into consideration potential overlaps and conflicts. + This command can try to find a common ground by voting or + return a list of conflicts.|n + |n + Examples:|n + - Merge annotations from 3 (or more) annotators:|n + |s|smerge project1/ project2/ project3/|n + - Check groups of the merged dataset for consistence:|n + |s|s|slook for groups consising of 'person', 'hand' 'head', 'foot'|n + |s|smerge project1/ project2/ -g 'person,hand?,head,foot?' + """, + formatter_class=MultilineFormatter) + + def _group(s): + return s.split(',') + + parser.add_argument('project', nargs='+', action=at_least(2), + help="Path to a project (repeatable)") + parser.add_argument('-iou', '--iou-thresh', default=0.25, type=float, + help="IoU match threshold for segments (default: %(default)s)") + parser.add_argument('-oconf', '--output-conf-thresh', + default=0.0, type=float, + help="Confidence threshold for output " + "annotations (default: %(default)s)") + parser.add_argument('--quorum', default=0, type=int, + help="Minimum count for a label and attribute voting " + "results to be counted (default: %(default)s)") + parser.add_argument('-g', '--groups', action='append', type=_group, + default=[], + help="A comma-separated list of labels in " + "annotation groups to check. '?' postfix can be added to a label to" + "make it optional in the group (repeatable)") + parser.add_argument('-o', '--output-dir', dest='dst_dir', default=None, + help="Output directory (default: current project's dir)") + parser.add_argument('--overwrite', action='store_true', + help="Overwrite existing files in the save directory") + parser.set_defaults(command=merge_command) + + return parser + +def merge_command(args): + source_projects = [load_project(p) for p in args.project] + + dst_dir = args.dst_dir + if dst_dir: + if not args.overwrite and osp.isdir(dst_dir) and os.listdir(dst_dir): + raise CliException("Directory '%s' already exists " + "(pass --overwrite to overwrite)" % dst_dir) + else: + dst_dir = generate_next_file_name('merged') + + source_datasets = [] + for p in source_projects: + log.debug("Loading project '%s' dataset", p.config.project_name) + source_datasets.append(p.make_dataset()) + + merger = IntersectMerge(conf=IntersectMerge.Conf( + pairwise_dist=args.iou_thresh, groups=args.groups, + output_conf_thresh=args.output_conf_thresh, quorum=args.quorum + )) + merged_dataset = merger(source_datasets) + + merged_project = Project() + output_dataset = merged_project.make_dataset() + output_dataset.define_categories(merged_dataset.categories()) + merged_dataset = output_dataset.update(merged_dataset) + merged_dataset.save(save_dir=dst_dir) + + report_path = osp.join(dst_dir, 'merge_report.json') + save_merge_report(merger, report_path) + + dst_dir = osp.abspath(dst_dir) + log.info("Merge results have been saved to '%s'" % dst_dir) + log.info("Report has been saved to '%s'" % report_path) + + return 0 + +def save_merge_report(merger, path): + item_errors = OrderedDict() + source_errors = OrderedDict() + all_errors = [] + + for e in merger.errors: + if isinstance(e, QualityError): + item_errors[str(e.item_id)] = item_errors.get(str(e.item_id), 0) + 1 + elif isinstance(e, MergeError): + for s in e.sources: + source_errors[s] = source_errors.get(s, 0) + 1 + item_errors[str(e.item_id)] = item_errors.get(str(e.item_id), 0) + 1 + + all_errors.append(str(e)) + + errors = OrderedDict([ + ('Item errors', item_errors), + ('Source errors', source_errors), + ('All errors', all_errors), + ]) + + with open(path, 'w') as f: + json.dump(errors, f, indent=4) \ No newline at end of file diff --git a/datumaro/datumaro/cli/contexts/model/__init__.py b/datumaro/datumaro/cli/contexts/model/__init__.py index a10f5c0d..0c4f2018 100644 --- a/datumaro/datumaro/cli/contexts/model/__init__.py +++ b/datumaro/datumaro/cli/contexts/model/__init__.py @@ -146,6 +146,30 @@ def run_command(args): return 0 +def build_info_parser(parser_ctor=argparse.ArgumentParser): + parser = parser_ctor() + + parser.add_argument('-n', '--name', + help="Model name") + parser.add_argument('-v', '--verbose', action='store_true', + help="Show details") + parser.add_argument('-p', '--project', dest='project_dir', default='.', + help="Directory of the project to operate on (default: current dir)") + parser.set_defaults(command=info_command) + + return parser + +def info_command(args): + project = load_project(args.project_dir) + + if args.name: + model = project.get_model(args.name) + print(model) + else: + for name, conf in project.config.models.items(): + print(name) + if args.verbose: + print(dict(conf)) def build_parser(parser_ctor=argparse.ArgumentParser): parser = parser_ctor() @@ -154,5 +178,6 @@ def build_parser(parser_ctor=argparse.ArgumentParser): add_subparser(subparsers, 'add', build_add_parser) add_subparser(subparsers, 'remove', build_remove_parser) add_subparser(subparsers, 'run', build_run_parser) + add_subparser(subparsers, 'info', build_info_parser) return parser diff --git a/datumaro/datumaro/cli/contexts/project/__init__.py b/datumaro/datumaro/cli/contexts/project/__init__.py index 65f81886..e6d5809b 100644 --- a/datumaro/datumaro/cli/contexts/project/__init__.py +++ b/datumaro/datumaro/cli/contexts/project/__init__.py @@ -17,7 +17,8 @@ from datumaro.components.comparator import Comparator from datumaro.components.dataset_filter import DatasetItemEncoder from datumaro.components.extractor import AnnotationType from datumaro.components.cli_plugin import CliPlugin -from datumaro.components.operations import mean_std +from datumaro.components.operations import \ + compute_image_statistics, compute_ann_statistics from .diff import DiffVisualizer from ...util import add_subparser, CliException, MultilineFormatter, \ make_file_name @@ -55,7 +56,7 @@ def create_command(args): if osp.isdir(project_env_dir) and os.listdir(project_env_dir): if not args.overwrite: raise CliException("Directory '%s' already exists " - "(pass --overwrite to force creation)" % project_env_dir) + "(pass --overwrite to overwrite)" % project_env_dir) else: shutil.rmtree(project_env_dir, ignore_errors=True) @@ -63,7 +64,7 @@ def create_command(args): if osp.isdir(own_dataset_dir) and os.listdir(own_dataset_dir): if not args.overwrite: raise CliException("Directory '%s' already exists " - "(pass --overwrite to force creation)" % own_dataset_dir) + "(pass --overwrite to overwrite)" % own_dataset_dir) else: # NOTE: remove the dir to avoid using data from previous project shutil.rmtree(own_dataset_dir) @@ -149,7 +150,7 @@ def import_command(args): if osp.isdir(project_env_dir) and os.listdir(project_env_dir): if not args.overwrite: raise CliException("Directory '%s' already exists " - "(pass --overwrite to force creation)" % project_env_dir) + "(pass --overwrite to overwrite)" % project_env_dir) else: shutil.rmtree(project_env_dir, ignore_errors=True) @@ -157,7 +158,7 @@ def import_command(args): if osp.isdir(own_dataset_dir) and os.listdir(own_dataset_dir): if not args.overwrite: raise CliException("Directory '%s' already exists " - "(pass --overwrite to force creation)" % own_dataset_dir) + "(pass --overwrite to overwrite)" % own_dataset_dir) else: # NOTE: remove the dir to avoid using data from previous project shutil.rmtree(own_dataset_dir) @@ -328,7 +329,7 @@ def export_command(args): if dst_dir: if not args.overwrite and osp.isdir(dst_dir) and os.listdir(dst_dir): raise CliException("Directory '%s' already exists " - "(pass --overwrite to force creation)" % dst_dir) + "(pass --overwrite to overwrite)" % dst_dir) else: dst_dir = generate_next_file_name('%s-%s' % \ (project.config.project_name, make_file_name(args.format))) @@ -424,7 +425,7 @@ def extract_command(args): if dst_dir: if not args.overwrite and osp.isdir(dst_dir) and os.listdir(dst_dir): raise CliException("Directory '%s' already exists " - "(pass --overwrite to force creation)" % dst_dir) + "(pass --overwrite to overwrite)" % dst_dir) else: dst_dir = generate_next_file_name('%s-filter' % \ project.config.project_name) @@ -453,10 +454,10 @@ def extract_command(args): return 0 def build_merge_parser(parser_ctor=argparse.ArgumentParser): - parser = parser_ctor(help="Merge projects", + parser = parser_ctor(help="Merge two projects", description=""" Updates items of the current project with items - from the other project.|n + from other project.|n |n Examples:|n - Update a project with items from other project:|n @@ -465,7 +466,7 @@ def build_merge_parser(parser_ctor=argparse.ArgumentParser): formatter_class=MultilineFormatter) parser.add_argument('other_project_dir', - help="Directory of the project to get data updates from") + help="Path to a project") parser.add_argument('-o', '--output-dir', dest='dst_dir', default=None, help="Output directory (default: current project's dir)") parser.add_argument('--overwrite', action='store_true', @@ -484,11 +485,12 @@ def merge_command(args): if dst_dir: if not args.overwrite and osp.isdir(dst_dir) and os.listdir(dst_dir): raise CliException("Directory '%s' already exists " - "(pass --overwrite to force creation)" % dst_dir) + "(pass --overwrite to overwrite)" % dst_dir) first_dataset = first_project.make_dataset() - first_dataset.update(second_project.make_dataset()) + second_dataset = second_project.make_dataset() + first_dataset.update(second_dataset) first_dataset.save(save_dir=dst_dir) if dst_dir is None: @@ -542,7 +544,7 @@ def diff_command(args): if dst_dir: if not args.overwrite and osp.isdir(dst_dir) and os.listdir(dst_dir): raise CliException("Directory '%s' already exists " - "(pass --overwrite to force creation)" % dst_dir) + "(pass --overwrite to overwrite)" % dst_dir) else: dst_dir = generate_next_file_name('%s-%s-diff' % ( first_project.config.project_name, @@ -602,7 +604,7 @@ def transform_command(args): if dst_dir: if not args.overwrite and osp.isdir(dst_dir) and os.listdir(dst_dir): raise CliException("Directory '%s' already exists " - "(pass --overwrite to force creation)" % dst_dir) + "(pass --overwrite to overwrite)" % dst_dir) else: dst_dir = generate_next_file_name('%s-%s' % \ (project.config.project_name, make_file_name(args.transform))) @@ -647,22 +649,16 @@ def build_stats_parser(parser_ctor=argparse.ArgumentParser): def stats_command(args): project = load_project(args.project_dir) - dataset = project.make_dataset() - def print_extractor_info(extractor, indent=''): - mean, std = mean_std(dataset) - print("%sImage mean:" % indent, ', '.join('%.3f' % n for n in mean)) - print("%sImage std:" % indent, ', '.join('%.3f' % n for n in std)) - - print("Dataset: ") - print_extractor_info(dataset) - - if 1 < len(dataset.subsets()): - print("Subsets: ") - for subset_name in dataset.subsets(): - subset = dataset.get_subset(subset_name) - print(" %s:" % subset_name) - print_extractor_info(subset, " " * 4) + dataset = project.make_dataset() + stats = {} + stats.update(compute_image_statistics(dataset)) + stats.update(compute_ann_statistics(dataset)) + + dst_file = generate_next_file_name('statistics', ext='.json') + log.info("Writing project statistics to '%s'" % dst_file) + with open(dst_file, 'w') as f: + json.dump(stats, f, indent=4, sort_keys=True) def build_info_parser(parser_ctor=argparse.ArgumentParser): parser = parser_ctor(help="Get project info", diff --git a/datumaro/datumaro/cli/contexts/source/__init__.py b/datumaro/datumaro/cli/contexts/source/__init__.py index 94734265..ef9edafb 100644 --- a/datumaro/datumaro/cli/contexts/source/__init__.py +++ b/datumaro/datumaro/cli/contexts/source/__init__.py @@ -225,6 +225,31 @@ def remove_command(args): return 0 +def build_info_parser(parser_ctor=argparse.ArgumentParser): + parser = parser_ctor() + + parser.add_argument('-n', '--name', + help="Source name") + parser.add_argument('-v', '--verbose', action='store_true', + help="Show details") + parser.add_argument('-p', '--project', dest='project_dir', default='.', + help="Directory of the project to operate on (default: current dir)") + parser.set_defaults(command=info_command) + + return parser + +def info_command(args): + project = load_project(args.project_dir) + + if args.name: + source = project.get_source(args.name) + print(source) + else: + for name, conf in project.config.sources.items(): + print(name) + if args.verbose: + print(dict(conf)) + def build_parser(parser_ctor=argparse.ArgumentParser): parser = parser_ctor(description=""" Manipulate data sources inside of a project.|n @@ -243,5 +268,6 @@ def build_parser(parser_ctor=argparse.ArgumentParser): subparsers = parser.add_subparsers() add_subparser(subparsers, 'add', build_add_parser) add_subparser(subparsers, 'remove', build_remove_parser) + add_subparser(subparsers, 'info', build_info_parser) return parser diff --git a/datumaro/datumaro/cli/util/__init__.py b/datumaro/datumaro/cli/util/__init__.py index 2d04a693..3884b156 100644 --- a/datumaro/datumaro/cli/util/__init__.py +++ b/datumaro/datumaro/cli/util/__init__.py @@ -37,6 +37,28 @@ class MultilineFormatter(argparse.HelpFormatter): multiline_text += formatted_paragraph return multiline_text +def required_count(nmin=0, nmax=0): + assert 0 <= nmin and 0 <= nmax and nmin or nmax + + class RequiredCount(argparse.Action): + def __call__(self, parser, args, values, option_string=None): + k = len(values) + if not ((nmin and (nmin <= k) or not nmin) and \ + (nmax and (k <= nmax) or not nmax)): + msg = "Argument '%s' requires" % self.dest + if nmin and nmax: + msg += " from %s to %s arguments" % (nmin, nmax) + elif nmin: + msg += " at least %s arguments" % nmin + else: + msg += " no more %s arguments" % nmax + raise argparse.ArgumentTypeError(msg) + setattr(args, self.dest, values) + return RequiredCount + +def at_least(n): + return required_count(n, 0) + def make_file_name(s): # adapted from # https://docs.djangoproject.com/en/2.1/_modules/django/utils/text/#slugify diff --git a/datumaro/datumaro/components/algorithms/rise.py b/datumaro/datumaro/components/algorithms/rise.py index 277bedd2..2f65c8cf 100644 --- a/datumaro/datumaro/components/algorithms/rise.py +++ b/datumaro/datumaro/components/algorithms/rise.py @@ -9,6 +9,7 @@ import numpy as np from math import ceil from datumaro.components.extractor import AnnotationType +from datumaro.util.annotation_util import nms def flatmatvec(mat): @@ -51,24 +52,6 @@ class RISE: bboxes.append(r) return labels, bboxes - @staticmethod - def nms(boxes, iou_thresh=0.5): - indices = np.argsort([b.attributes['score'] for b in boxes]) - ious = np.array([[a.iou(b) for b in boxes] for a in boxes]) - - predictions = [] - while len(indices) != 0: - i = len(indices) - 1 - pred_idx = indices[i] - to_remove = [i] - predictions.append(boxes[pred_idx]) - for i, box_idx in enumerate(indices[:i]): - if iou_thresh < ious[pred_idx, box_idx]: - to_remove.append(i) - indices = np.delete(indices, to_remove) - - return predictions - def normalize_hmaps(self, heatmaps, counts): eps = np.finfo(heatmaps.dtype).eps mhmaps = flatmatvec(heatmaps) @@ -106,7 +89,7 @@ class RISE: result_bboxes = [b for b in result_bboxes \ if self.det_conf_thresh <= b.attributes['score']] if 0 < self.nms_thresh: - result_bboxes = self.nms(result_bboxes, self.nms_thresh) + result_bboxes = nms(result_bboxes, self.nms_thresh) predicted_labels = set() if len(result_labels) != 0: @@ -194,7 +177,7 @@ class RISE: result_bboxes = [b for b in result_bboxes \ if self.det_conf_thresh <= b.attributes['score']] if 0 < self.nms_thresh: - result_bboxes = self.nms(result_bboxes, self.nms_thresh) + result_bboxes = nms(result_bboxes, self.nms_thresh) for detection in result_bboxes: for pred_idx, pred in enumerate(predicted_bboxes): @@ -202,7 +185,7 @@ class RISE: continue iou = pred.iou(detection) - assert 0 <= iou and iou <= 1 + assert iou == -1 or 0 <= iou and iou <= 1 if iou < iou_thresh: continue diff --git a/datumaro/datumaro/components/dataset_filter.py b/datumaro/datumaro/components/dataset_filter.py index 351cc6c8..e9fc5e35 100644 --- a/datumaro/datumaro/components/dataset_filter.py +++ b/datumaro/datumaro/components/dataset_filter.py @@ -4,7 +4,7 @@ # SPDX-License-Identifier: MIT import logging as log -from lxml import etree as ET # NOTE: lxml has proper XPath implementation +from lxml import etree as ET # lxml has proper XPath implementation from datumaro.components.extractor import (Transform, Annotation, AnnotationType, Label, Mask, Points, Polygon, PolyLine, Bbox, Caption, diff --git a/datumaro/datumaro/components/extractor.py b/datumaro/datumaro/components/extractor.py index ae0c1fae..d7991cd1 100644 --- a/datumaro/datumaro/components/extractor.py +++ b/datumaro/datumaro/components/extractor.py @@ -7,7 +7,12 @@ from collections import namedtuple from enum import Enum import numpy as np +import attr +from attr import attrs, attrib + from datumaro.util.image import Image +from datumaro.util.attrs_util import not_empty, default_if_none + AnnotationType = Enum('AnnotationType', [ @@ -20,58 +25,36 @@ AnnotationType = Enum('AnnotationType', 'caption', ]) -class Annotation: - # pylint: disable=redefined-builtin - def __init__(self, id=None, type=None, attributes=None, group=None): - if id is not None: - id = int(id) - self.id = id +_COORDINATE_ROUNDING_DIGITS = 2 - assert type in AnnotationType - self.type = type +@attrs +class Annotation: + id = attrib(default=0, validator=default_if_none(int), kw_only=True) + attributes = attrib(factory=dict, validator=default_if_none(dict), kw_only=True) + group = attrib(default=0, validator=default_if_none(int), kw_only=True) - if attributes is None: - attributes = {} - else: - attributes = dict(attributes) - self.attributes = attributes + def __attrs_post_init__(self): + assert isinstance(self.type, AnnotationType) - if group is None: - group = 0 - else: - group = int(group) - self.group = group - # pylint: enable=redefined-builtin + @property + def type(self): + return self._type # must be set in subclasses - def __eq__(self, other): - if not isinstance(other, Annotation): - return False - return \ - (self.id == other.id) and \ - (self.type == other.type) and \ - (self.attributes == other.attributes) and \ - (self.group == other.group) + def wrap(item, **kwargs): + return attr.evolve(item, **kwargs) +@attrs class Categories: - def __init__(self, attributes=None): - if attributes is None: - attributes = set() - else: - if not isinstance(attributes, set): - attributes = set(attributes) - for attr in attributes: - assert isinstance(attr, str) - self.attributes = attributes - - def __eq__(self, other): - if not isinstance(other, Categories): - return False - return \ - (self.attributes == other.attributes) + attributes = attrib(factory=set, validator=default_if_none(set), + kw_only=True) +@attrs class LabelCategories(Categories): Category = namedtuple('Category', ['name', 'parent', 'attributes']) + items = attrib(factory=list, validator=default_if_none(list)) + _indices = attrib(factory=dict, init=False, eq=False) + @classmethod def from_iterable(cls, iterable): """Generation of LabelCategories from iterable object @@ -99,14 +82,7 @@ class LabelCategories(Categories): return temp_categories - def __init__(self, items=None, attributes=None): - super().__init__(attributes=attributes) - - if items is None: - items = [] - self.items = items - - self._indices = {} + def __attrs_post_init__(self): self._reindex() def _reindex(self): @@ -117,7 +93,7 @@ class LabelCategories(Categories): self._indices = indices def add(self, name, parent=None, attributes=None): - assert name not in self._indices + assert name not in self._indices, name if attributes is None: attributes = set() else: @@ -135,53 +111,27 @@ class LabelCategories(Categories): def find(self, name): index = self._indices.get(name) - if index: + if index is not None: return index, self.items[index] return index, None - def __eq__(self, other): - if not super().__eq__(other): - return False - return \ - (self.items == other.items) - +@attrs class Label(Annotation): - # pylint: disable=redefined-builtin - def __init__(self, label=None, - id=None, attributes=None, group=None): - super().__init__(id=id, type=AnnotationType.label, - attributes=attributes, group=group) - - if label is not None: - label = int(label) - self.label = label - # pylint: enable=redefined-builtin - - def __eq__(self, other): - if not super().__eq__(other): - return False - return \ - (self.label == other.label) + _type = AnnotationType.label + label = attrib(converter=int) +@attrs(eq=False) class MaskCategories(Categories): - def __init__(self, colormap=None, inverse_colormap=None, attributes=None): - super().__init__(attributes=attributes) - - # colormap: label id -> color - if colormap is None: - colormap = {} - self.colormap = colormap - self._inverse_colormap = inverse_colormap + colormap = attrib(factory=dict, validator=default_if_none(dict)) + _inverse_colormap = attrib(default=None, + validator=attr.validators.optional(dict)) @property def inverse_colormap(self): from datumaro.util.mask_tools import invert_colormap if self._inverse_colormap is None: if self.colormap is not None: - try: - self._inverse_colormap = invert_colormap(self.colormap) - except Exception: - pass + self._inverse_colormap = invert_colormap(self.colormap) return self._inverse_colormap def __eq__(self, other): @@ -193,25 +143,13 @@ class MaskCategories(Categories): return False return True +@attrs(eq=False) class Mask(Annotation): - # pylint: disable=redefined-builtin - def __init__(self, image=None, label=None, z_order=None, - id=None, attributes=None, group=None): - super().__init__(type=AnnotationType.mask, - id=id, attributes=attributes, group=group) - - self._image = image - - if label is not None: - label = int(label) - self._label = label - - if z_order is None: - z_order = 0 - else: - z_order = int(z_order) - self._z_order = z_order - # pylint: enable=redefined-builtin + _type = AnnotationType.mask + _image = attrib() + label = attrib(converter=attr.converters.optional(int), + default=None, kw_only=True) + z_order = attrib(default=0, validator=default_if_none(int), kw_only=True) @property def image(self): @@ -219,14 +157,6 @@ class Mask(Annotation): return self._image() return self._image - @property - def label(self): - return self._label - - @property - def z_order(self): - return self._z_order - def as_class_mask(self, label_id=None): if label_id is None: label_id = self.label @@ -252,19 +182,14 @@ class Mask(Annotation): return \ (self.label == other.label) and \ (self.z_order == other.z_order) and \ - (self.image is not None and other.image is not None and \ - np.array_equal(self.image, other.image)) + (np.array_equal(self.image, other.image)) +@attrs(eq=False) class RleMask(Mask): - # pylint: disable=redefined-builtin - def __init__(self, rle=None, label=None, z_order=None, - id=None, attributes=None, group=None): - lazy_decode = self._lazy_decode(rle) - super().__init__(image=lazy_decode, label=label, z_order=z_order, - id=id, attributes=attributes, group=group) - - self._rle = rle - # pylint: enable=redefined-builtin + rle = attrib() + _image = attrib(default=attr.Factory( + lambda self: self._lazy_decode(self.rle), + takes_self=True), init=False) @staticmethod def _lazy_decode(rle): @@ -273,20 +198,16 @@ class RleMask(Mask): def get_area(self): from pycocotools import mask as mask_utils - return mask_utils.area(self._rle) + return mask_utils.area(self.rle) def get_bbox(self): from pycocotools import mask as mask_utils - return mask_utils.toBbox(self._rle) - - @property - def rle(self): - return self._rle + return mask_utils.toBbox(self.rle) def __eq__(self, other): if not isinstance(other, __class__): return super().__eq__(other) - return self._rle == other._rle + return self.rle == other.rle class CompiledMask: @staticmethod @@ -354,56 +275,13 @@ class CompiledMask: def lazy_extract(self, instance_id): return lambda: self.extract(instance_id) -def compute_iou(bbox_a, bbox_b): - aX, aY, aW, aH = bbox_a - bX, bY, bW, bH = bbox_b - in_right = min(aX + aW, bX + bW) - in_left = max(aX, bX) - in_top = max(aY, bY) - in_bottom = min(aY + aH, bY + bH) - - in_w = max(0, in_right - in_left) - in_h = max(0, in_bottom - in_top) - intersection = in_w * in_h - - a_area = aW * aH - b_area = bW * bH - union = a_area + b_area - intersection - - return intersection / max(1.0, union) - +@attrs class _Shape(Annotation): - # pylint: disable=redefined-builtin - def __init__(self, type, points=None, label=None, z_order=None, - id=None, attributes=None, group=None): - super().__init__(id=id, type=type, - attributes=attributes, group=group) - if points is None: - points = [] - self._points = list(points) - - if label is not None: - label = int(label) - self._label = label - - if z_order is None: - z_order = 0 - else: - z_order = int(z_order) - self._z_order = z_order - # pylint: enable=redefined-builtin - - @property - def points(self): - return self._points - - @property - def label(self): - return self._label - - @property - def z_order(self): - return self._z_order + points = attrib(converter=lambda x: + [round(p, _COORDINATE_ROUNDING_DIGITS) for p in x]) + label = attrib(converter=attr.converters.optional(int), + default=None, kw_only=True) + z_order = attrib(default=0, validator=default_if_none(int), kw_only=True) def get_area(self): raise NotImplementedError() @@ -421,22 +299,9 @@ class _Shape(Annotation): y1 = max(ys) return [x0, y0, x1 - x0, y1 - y0] - def __eq__(self, other): - if not super().__eq__(other): - return False - return \ - (np.array_equal(self.points, other.points)) and \ - (self.z_order == other.z_order) and \ - (self.label == other.label) - +@attrs class PolyLine(_Shape): - # pylint: disable=redefined-builtin - def __init__(self, points=None, label=None, z_order=None, - id=None, attributes=None, group=None): - super().__init__(type=AnnotationType.polyline, - points=points, label=label, z_order=z_order, - id=id, attributes=attributes, group=group) - # pylint: enable=redefined-builtin + _type = AnnotationType.polyline def as_polygon(self): return self.points[:] @@ -444,35 +309,33 @@ class PolyLine(_Shape): def get_area(self): return 0 +@attrs class Polygon(_Shape): - # pylint: disable=redefined-builtin - def __init__(self, points=None, label=None, - z_order=None, id=None, attributes=None, group=None): - if points is not None: - # keep the message on the single line to produce - # informative output - assert len(points) % 2 == 0 and 3 <= len(points) // 2, "Wrong polygon points: %s" % points - super().__init__(type=AnnotationType.polygon, - points=points, label=label, z_order=z_order, - id=id, attributes=attributes, group=group) - # pylint: enable=redefined-builtin + _type = AnnotationType.polygon + + def __attrs_post_init__(self): + super().__attrs_post_init__() + # keep the message on a single line to produce informative output + assert len(self.points) % 2 == 0 and 3 <= len(self.points) // 2, "Wrong polygon points: %s" % self.points def get_area(self): import pycocotools.mask as mask_utils - _, _, w, h = self.get_bbox() - rle = mask_utils.frPyObjects([self.points], h, w) + x, y, w, h = self.get_bbox() + rle = mask_utils.frPyObjects([self.points], y + h, x + w) area = mask_utils.area(rle)[0] return area +@attrs class Bbox(_Shape): - # pylint: disable=redefined-builtin - def __init__(self, x=0, y=0, w=0, h=0, label=None, z_order=None, - id=None, attributes=None, group=None): - super().__init__(type=AnnotationType.bbox, - points=[x, y, x + w, y + h], label=label, z_order=z_order, - id=id, attributes=attributes, group=group) - # pylint: enable=redefined-builtin + _type = AnnotationType.bbox + + # will be overridden by attrs, then will be overridden again by us + # attrs' method will be renamed to __attrs_init__ + def __init__(self, x, y, w, h, *args, **kwargs): + kwargs.pop('points', None) # comes from wrap() + self.__attrs_init__([x, y, x + w, y + h], *args, **kwargs) + __actual_init__ = __init__ # save pointer @property def x(self): @@ -506,11 +369,24 @@ class Bbox(_Shape): ] def iou(self, other): - return compute_iou(self.get_bbox(), other.get_bbox()) + from datumaro.util.annotation_util import bbox_iou + return bbox_iou(self.get_bbox(), other.get_bbox()) + def wrap(item, **kwargs): + d = {'x': item.x, 'y': item.y, 'w': item.w, 'h': item.h} + d.update(kwargs) + return attr.evolve(item, **d) + +assert not hasattr(Bbox, '__attrs_init__') # hopefully, it will be supported +setattr(Bbox, '__attrs_init__', Bbox.__init__) +setattr(Bbox, '__init__', Bbox.__actual_init__) + +@attrs class PointsCategories(Categories): Category = namedtuple('Category', ['labels', 'joints']) + items = attrib(factory=dict, validator=default_if_none(dict)) + @classmethod def from_iterable(cls, iterable): """Generation of PointsCategories from iterable object @@ -536,13 +412,6 @@ class PointsCategories(Categories): temp_categories.add(*category) return temp_categories - def __init__(self, items=None, attributes=None): - super().__init__(attributes=attributes) - - if items is None: - items = {} - self.items = items - def add(self, label_id, labels=None, joints=None): if labels is None: labels = [] @@ -551,41 +420,30 @@ class PointsCategories(Categories): joints = set(map(tuple, joints)) self.items[label_id] = self.Category(labels, joints) - def __eq__(self, other): - if not super().__eq__(other): - return False - return \ - (self.items == other.items) - +@attrs class Points(_Shape): Visibility = Enum('Visibility', [ ('absent', 0), ('hidden', 1), ('visible', 2), ]) + _type = AnnotationType.points - # pylint: disable=redefined-builtin - def __init__(self, points=None, visibility=None, label=None, z_order=None, - id=None, attributes=None, group=None): - if points is not None: - assert len(points) % 2 == 0 - - if visibility is not None: - assert len(visibility) == len(points) // 2 - for i, v in enumerate(visibility): - if not isinstance(v, self.Visibility): - visibility[i] = self.Visibility(v) - else: - visibility = [] - for _ in range(len(points) // 2): - visibility.append(self.Visibility.visible) - - super().__init__(type=AnnotationType.points, - points=points, label=label, z_order=z_order, - id=id, attributes=attributes, group=group) - + visibility = attrib(type=list, default=None) + @visibility.validator + def _visibility_validator(self, attribute, visibility): + if visibility is None: + visibility = [self.Visibility.visible] * (len(self.points) // 2) + else: + for i, v in enumerate(visibility): + if not isinstance(v, self.Visibility): + visibility[i] = self.Visibility(v) + assert len(visibility) == len(self.points) // 2 self.visibility = visibility - # pylint: enable=redefined-builtin + + def __attrs_post_init__(self): + super().__attrs_post_init__() + assert len(self.points) % 2 == 0, self.points def get_area(self): return 0 @@ -601,117 +459,37 @@ class Points(_Shape): y1 = max(ys, default=0) return [x0, y0, x1 - x0, y1 - y0] - def __eq__(self, other): - if not super().__eq__(other): - return False - return \ - (self.visibility == other.visibility) - +@attrs class Caption(Annotation): - # pylint: disable=redefined-builtin - def __init__(self, caption=None, - id=None, attributes=None, group=None): - super().__init__(id=id, type=AnnotationType.caption, - attributes=attributes, group=group) - - if caption is None: - caption = '' - else: - caption = str(caption) - self.caption = caption - # pylint: enable=redefined-builtin - - def __eq__(self, other): - if not super().__eq__(other): - return False - return \ - (self.caption == other.caption) + _type = AnnotationType.caption + caption = attrib(converter=str) +@attrs class DatasetItem: - # pylint: disable=redefined-builtin - def __init__(self, id=None, annotations=None, - subset=None, path=None, image=None, attributes=None): - assert id is not None - self._id = str(id).replace('\\', '/') - - if subset is None: - subset = '' - else: - subset = str(subset) - self._subset = subset - - if path is None: - path = [] - else: - path = list(path) - self._path = path - - if annotations is None: - annotations = [] - else: - annotations = list(annotations) - self._annotations = annotations - + id = attrib(converter=lambda x: str(x).replace('\\', '/'), + type=str, validator=not_empty) + annotations = attrib(factory=list, validator=default_if_none(list)) + subset = attrib(default='', validator=default_if_none(str)) + path = attrib(factory=list, validator=default_if_none(list)) + + image = attrib(type=Image, default=None) + @image.validator + def _image_validator(self, attribute, image): if callable(image) or isinstance(image, np.ndarray): image = Image(data=image) elif isinstance(image, str): image = Image(path=image) assert image is None or isinstance(image, Image) - self._image = image - - if attributes is None: - attributes = {} - else: - attributes = dict(attributes) - self._attributes = attributes - # pylint: enable=redefined-builtin - - @property - def id(self): - return self._id - - @property - def subset(self): - return self._subset - - @property - def path(self): - return self._path - - @property - def annotations(self): - return self._annotations + self.image = image - @property - def image(self): - return self._image + attributes = attrib(factory=dict, validator=default_if_none(dict)) @property def has_image(self): - return self._image is not None - - @property - def attributes(self): - return self._attributes - - def __eq__(self, other): - if not isinstance(other, __class__): - return False - return \ - (self.id == other.id) and \ - (self.subset == other.subset) and \ - (self.path == other.path) and \ - (self.annotations == other.annotations) and \ - (self.image == other.image) and \ - (self.attributes == other.attributes) + return self.image is not None def wrap(item, **kwargs): - expected_args = {'id', 'annotations', 'subset', - 'path', 'image', 'attributes'} - for k in expected_args: - if k not in kwargs: - kwargs[k] = getattr(item, k) - return DatasetItem(**kwargs) + return attr.evolve(item, **kwargs) class IExtractor: def __iter__(self): diff --git a/datumaro/datumaro/components/operations.py b/datumaro/datumaro/components/operations.py index a049e267..9e63d3a7 100644 --- a/datumaro/datumaro/components/operations.py +++ b/datumaro/datumaro/components/operations.py @@ -3,9 +3,782 @@ # # SPDX-License-Identifier: MIT +from collections import OrderedDict +from copy import deepcopy +import logging as log + +import attr import cv2 import numpy as np +from attr import attrib, attrs + +from datumaro.components.cli_plugin import CliPlugin +from datumaro.components.extractor import AnnotationType, Bbox, Label +from datumaro.components.project import Dataset +from datumaro.util import find +from datumaro.util.attrs_util import ensure_cls +from datumaro.util.annotation_util import (segment_iou, bbox_iou, + mean_bbox, OKS, find_instances, max_bbox, smooth_line) + +def get_ann_type(anns, t): + return [a for a in anns if a.type == t] + +def match_annotations_equal(a, b): + matches = [] + a_unmatched = a[:] + b_unmatched = b[:] + for a_ann in a: + for b_ann in b_unmatched: + if a_ann != b_ann: + continue + + matches.append((a_ann, b_ann)) + a_unmatched.remove(a_ann) + b_unmatched.remove(b_ann) + break + + return matches, a_unmatched, b_unmatched + +def merge_annotations_equal(a, b): + matches, a_unmatched, b_unmatched = match_annotations_equal(a, b) + return [ann_a for (ann_a, _) in matches] + a_unmatched + b_unmatched + +def merge_categories(sources): + categories = {} + for source in sources: + categories.update(source) + for source in sources: + for cat_type, source_cat in source.items(): + if not categories[cat_type] == source_cat: + raise NotImplementedError( + "Merging different categories is not implemented yet") + return categories + +class MergingStrategy(CliPlugin): + @classmethod + def merge(cls, sources, **options): + instance = cls(**options) + return instance(sources) + + def __init__(self, **options): + super().__init__(**options) + self.__dict__['_sources'] = None + + def __call__(self, sources): + raise NotImplementedError() + + +@attrs +class DatasetError: + item_id = attrib() + +@attrs +class QualityError(DatasetError): + pass + +@attrs +class TooCloseError(QualityError): + a = attrib() + b = attrib() + distance = attrib() + + def __str__(self): + return "Item %s: annotations are too close: %s, %s, distance = %s" % \ + (self.item_id, self.a, self.b, self.distance) + +@attrs +class WrongGroupError(QualityError): + found = attrib(converter=set) + expected = attrib(converter=set) + group = attrib(converter=list) + + def __str__(self): + return "Item %s: annotation group has wrong labels: " \ + "found %s, expected %s, group %s" % \ + (self.item_id, self.found, self.expected, self.group) + +@attrs +class MergeError(DatasetError): + sources = attrib(converter=set) + +@attrs +class NoMatchingAnnError(MergeError): + ann = attrib() + + def __str__(self): + return "Item %s: can't find matching annotation " \ + "in sources %s, annotation is %s" % \ + (self.item_id, self.sources, self.ann) + +@attrs +class NoMatchingItemError(MergeError): + def __str__(self): + return "Item %s: can't find matching item in sources %s" % \ + (self.item_id, self.sources) + +@attrs +class FailedLabelVotingError(MergeError): + votes = attrib() + ann = attrib(default=None) + + def __str__(self): + return "Item %s: label voting failed%s, votes %s, sources %s" % \ + (self.item_id, 'for ann %s' % self.ann if self.ann else '', + self.votes, self.sources) + +@attrs +class FailedAttrVotingError(MergeError): + attr = attrib() + votes = attrib() + ann = attrib() + + def __str__(self): + return "Item %s: attribute voting failed " \ + "for ann %s, votes %s, sources %s" % \ + (self.item_id, self.ann, self.votes, self.sources) + +@attrs +class IntersectMerge(MergingStrategy): + @attrs(repr_ns='IntersectMerge', kw_only=True) + class Conf: + pairwise_dist = attrib(converter=float, default=0.5) + sigma = attrib(converter=list, factory=list) + + output_conf_thresh = attrib(converter=float, default=0) + quorum = attrib(converter=int, default=0) + ignored_attributes = attrib(converter=set, factory=set) + + def _groups_conveter(value): + result = [] + for group in value: + rg = set() + for label in group: + optional = label.endswith('?') + name = label if not optional else label[:-1] + rg.add((name, optional)) + result.append(rg) + return result + groups = attrib(converter=_groups_conveter, factory=list) + close_distance = attrib(converter=float, default=0.75) + conf = attrib(converter=ensure_cls(Conf), factory=Conf) + + # Error trackers: + errors = attrib(factory=list, init=False) + def add_item_error(self, error, *args, **kwargs): + self.errors.append(error(self._item_id, *args, **kwargs)) + + # Indexes: + _dataset_map = attrib(init=False) # id(dataset) -> (dataset, index) + _item_map = attrib(init=False) # id(item) -> (item, id(dataset)) + _ann_map = attrib(init=False) # id(ann) -> (ann, id(item)) + _item_id = attrib(init=False) + _item = attrib(init=False) + + # Misc. + _categories = attrib(init=False) # merged categories + + def __call__(self, datasets): + self._categories = merge_categories(d.categories() for d in datasets) + merged = Dataset(categories=self._categories) + + self._check_groups_definition() + + item_matches, item_map = self.match_items(datasets) + self._item_map = item_map + self._dataset_map = { id(d): (d, i) for i, d in enumerate(datasets) } + + for item_id, items in item_matches.items(): + self._item_id = item_id + + if len(items) < len(datasets): + missing_sources = set(id(s) for s in datasets) - set(items) + missing_sources = [self._dataset_map[s][1] + for s in missing_sources] + self.add_item_error(NoMatchingItemError, missing_sources) + merged.put(self.merge_items(items)) + + return merged + + def get_ann_source(self, ann_id): + return self._item_map[self._ann_map[ann_id][1]][1] + + def merge_items(self, items): + self._item = next(iter(items.values())) + + self._ann_map = {} + sources = [] + for item in items.values(): + self._ann_map.update({ id(a): (a, id(item)) + for a in item.annotations }) + sources.append(item.annotations) + log.debug("Merging item %s: source annotations %s" % \ + (self._item_id, list(map(len, sources)))) + + annotations = self.merge_annotations(sources) + + annotations = [a for a in annotations + if self.conf.output_conf_thresh <= a.attributes.get('score', 1)] + + return self._item.wrap(annotations=annotations) + + def merge_annotations(self, sources): + self._make_mergers(sources) + + clusters = self._match_annotations(sources) + + joined_clusters = sum(clusters.values(), []) + group_map = self._find_cluster_groups(joined_clusters) + + annotations = [] + for t, clusters in clusters.items(): + for cluster in clusters: + self._check_cluster_sources(cluster) + + merged_clusters = self._merge_clusters(t, clusters) + + for merged_ann, cluster in zip(merged_clusters, clusters): + attributes = self._find_cluster_attrs(cluster, merged_ann) + attributes = { k: v for k, v in attributes.items() + if k not in self.conf.ignored_attributes } + attributes.update(merged_ann.attributes) + merged_ann.attributes = attributes + + new_group_id = find(enumerate(group_map), + lambda e: id(cluster) in e[1][0]) + if new_group_id is None: + new_group_id = 0 + else: + new_group_id = new_group_id[0] + 1 + merged_ann.group = new_group_id + + if self.conf.close_distance: + self._check_annotation_distance(t, merged_clusters) + + annotations += merged_clusters + + if self.conf.groups: + self._check_groups(annotations) + + return annotations + + @staticmethod + def match_items(datasets): + item_ids = set((item.id, item.subset) for d in datasets for item in d) + + item_map = {} # id(item) -> (item, id(dataset)) + + matches = OrderedDict() + for (item_id, item_subset) in sorted(item_ids, key=lambda e: e[0]): + items = {} + for d in datasets: + try: + item = d.get(item_id, subset=item_subset) + items[id(d)] = item + item_map[id(item)] = (item, id(d)) + except KeyError: + pass + matches[(item_id, item_subset)] = items + + return matches, item_map + + def _match_annotations(self, sources): + all_by_type = {} + for s in sources: + src_by_type = {} + for a in s: + src_by_type.setdefault(a.type, []).append(a) + for k, v in src_by_type.items(): + all_by_type.setdefault(k, []).append(v) + + clusters = {} + for k, v in all_by_type.items(): + clusters.setdefault(k, []).extend(self._match_ann_type(k, v)) + + return clusters + + def _make_mergers(self, sources): + def _make(c, **kwargs): + kwargs.update(attr.asdict(self.conf)) + fields = attr.fields_dict(c) + return c(**{ k: v for k, v in kwargs.items() if k in fields }, + context=self) + + def _for_type(t, **kwargs): + if t is AnnotationType.label: + return _make(LabelMerger, **kwargs) + elif t is AnnotationType.bbox: + return _make(BboxMerger, **kwargs) + elif t is AnnotationType.mask: + return _make(MaskMerger, **kwargs) + elif t is AnnotationType.polygon: + return _make(PolygonMerger, **kwargs) + elif t is AnnotationType.polyline: + return _make(LineMerger, **kwargs) + elif t is AnnotationType.points: + return _make(PointsMerger, **kwargs) + elif t is AnnotationType.caption: + return _make(CaptionsMerger, **kwargs) + else: + raise NotImplementedError("Type %s is not supported" % t) + + instance_map = {} + for s in sources: + s_instances = find_instances(s) + for inst in s_instances: + inst_bbox = max_bbox([a for a in inst if a.type in + {AnnotationType.polygon, + AnnotationType.mask, AnnotationType.bbox} + ]) + for ann in inst: + instance_map[id(ann)] = [inst, inst_bbox] + + self._mergers = { t: _for_type(t, instance_map=instance_map) + for t in AnnotationType } + + def _match_ann_type(self, t, sources): + return self._mergers[t].match_annotations(sources) + + def _merge_clusters(self, t, clusters): + return self._mergers[t].merge_clusters(clusters) + + @staticmethod + def _find_cluster_groups(clusters): + cluster_groups = [] + visited = set() + for a_idx, cluster_a in enumerate(clusters): + if a_idx in visited: + continue + visited.add(a_idx) + + cluster_group = { id(cluster_a) } + + # find segment groups in the cluster group + a_groups = set(ann.group for ann in cluster_a) + for cluster_b in clusters[a_idx+1 :]: + b_groups = set(ann.group for ann in cluster_b) + if a_groups & b_groups: + a_groups |= b_groups + + # now we know all the segment groups in this cluster group + # so we can find adjacent clusters + for b_idx, cluster_b in enumerate(clusters[a_idx+1 :]): + b_idx = a_idx + 1 + b_idx + b_groups = set(ann.group for ann in cluster_b) + if a_groups & b_groups: + cluster_group.add( id(cluster_b) ) + visited.add(b_idx) + + if a_groups == {0}: + continue # skip annotations without a group + cluster_groups.append( (cluster_group, a_groups) ) + return cluster_groups + + def _find_cluster_attrs(self, cluster, ann): + quorum = self.conf.quorum or 0 + + # TODO: when attribute types are implemented, add linear + # interpolation for contiguous values + + attr_votes = {} # name -> { value: score , ... } + for s in cluster: + for name, value in s.attributes.items(): + votes = attr_votes.get(name, {}) + votes[value] = 1 + votes.get(value, 0) + attr_votes[name] = votes + + attributes = {} + for name, votes in attr_votes.items(): + winner, count = max(votes.items(), key=lambda e: e[1]) + if count < quorum: + if sum(votes.values()) < quorum: + # blame provokers + missing_sources = set( + self.get_ann_source(id(a)) for a in cluster + if s.attributes.get(name) == winner) + else: + # blame outliers + missing_sources = set( + self.get_ann_source(id(a)) for a in cluster + if s.attributes.get(name) != winner) + missing_sources = [self._dataset_map[s][1] + for s in missing_sources] + self.add_item_error(FailedAttrVotingError, + missing_sources, name, votes, ann) + continue + attributes[name] = winner + + return attributes + + def _check_cluster_sources(self, cluster): + if len(cluster) == len(self._dataset_map): + return + + def _has_item(s): + try: + item =self._dataset_map[s][0].get(*self._item_id) + if len(item.annotations) == 0: + return False + return True + except KeyError: + return False + + missing_sources = set(self._dataset_map) - \ + set(self.get_ann_source(id(a)) for a in cluster) + missing_sources = [self._dataset_map[s][1] for s in missing_sources + if _has_item(s)] + if missing_sources: + self.add_item_error(NoMatchingAnnError, missing_sources, cluster[0]) + + def _check_annotation_distance(self, t, annotations): + for a_idx, a_ann in enumerate(annotations): + for b_ann in annotations[a_idx+1:]: + d = self._mergers[t].distance(a_ann, b_ann) + if self.conf.close_distance < d: + self.add_item_error(TooCloseError, a_ann, b_ann, d) + + def _check_groups(self, annotations): + check_groups = [] + for check_group_raw in self.conf.groups: + check_group = set(l[0] for l in check_group_raw) + optional = set(l[0] for l in check_group_raw if l[1]) + check_groups.append((check_group, optional)) + + def _check_group(group_labels, group): + for check_group, optional in check_groups: + common = check_group & group_labels + real_miss = check_group - common - optional + extra = group_labels - check_group + if common and (extra or real_miss): + self.add_item_error(WrongGroupError, group_labels, + check_group, group) + break + + groups = find_instances(annotations) + for group in groups: + group_labels = set() + for ann in group: + if not hasattr(ann, 'label'): + continue + label = self._get_label_name(ann.label) + + if ann.group: + group_labels.add(label) + else: + _check_group({label}, [ann]) + + if not group_labels: + continue + _check_group(group_labels, group) + + def _get_label_name(self, label_id): + return self._categories[AnnotationType.label].items[label_id].name + + def _check_groups_definition(self): + for group in self.conf.groups: + for label, _ in group: + _, entry = self._categories[AnnotationType.label].find(label) + if entry is None: + raise ValueError("Datasets do not contain " + "label '%s', available labels %s" % \ + (label, [i.name for i in + self._categories[AnnotationType.label].items]) + ) +@attrs +class AnnotationMatcher: + def match_annotations(self, sources): + raise NotImplementedError() + +@attrs +class LabelMatcher(AnnotationMatcher): + @staticmethod + def distance(a, b): + return a.label == b.label + + def match_annotations(self, sources): + return [sum(sources, [])] + +@attrs(kw_only=True) +class _ShapeMatcher(AnnotationMatcher): + pairwise_dist = attrib(converter=float, default=0.9) + cluster_dist = attrib(converter=float, default=-1.0) + + def match_annotations(self, sources): + distance = self.distance + pairwise_dist = self.pairwise_dist + cluster_dist = self.cluster_dist + + if cluster_dist < 0: cluster_dist = pairwise_dist + + id_segm = { id(a): (a, id(s)) for s in sources for a in s } + + def _is_close_enough(cluster, extra_id): + # check if whole cluster IoU will not be broken + # when this segment is added + b = id_segm[extra_id][0] + for a_id in cluster: + a = id_segm[a_id][0] + if distance(a, b) < cluster_dist: + return False + return True + + def _has_same_source(cluster, extra_id): + b = id_segm[extra_id][1] + for a_id in cluster: + a = id_segm[a_id][1] + if a == b: + return True + return False + + # match segments in sources, pairwise + adjacent = { i: [] for i in id_segm } # id(sgm) -> [id(adj_sgm1), ...] + for a_idx, src_a in enumerate(sources): + for src_b in sources[a_idx+1 :]: + matches, _, _, _ = match_segments(src_a, src_b, + dist_thresh=pairwise_dist, distance=distance) + for m in matches: + adjacent[id(m[0])].append(id(m[1])) + + # join all segments into matching clusters + clusters = [] + visited = set() + for cluster_idx in adjacent: + if cluster_idx in visited: + continue + + cluster = set() + to_visit = { cluster_idx } + while to_visit: + c = to_visit.pop() + cluster.add(c) + visited.add(c) + + for i in adjacent[c]: + if i in visited: + continue + if 0 < cluster_dist and not _is_close_enough(cluster, i): + continue + if _has_same_source(cluster, i): + continue + + to_visit.add(i) + + clusters.append([id_segm[i][0] for i in cluster]) + + return clusters + + @staticmethod + def distance(a, b): + return segment_iou(a, b) + +@attrs +class BboxMatcher(_ShapeMatcher): + pass + +@attrs +class PolygonMatcher(_ShapeMatcher): + pass + +@attrs +class MaskMatcher(_ShapeMatcher): + pass + +@attrs(kw_only=True) +class PointsMatcher(_ShapeMatcher): + sigma = attrib(converter=list, default=None) + instance_map = attrib(converter=dict) + + def distance(self, a, b): + a_bbox = self.instance_map[id(a)][1] + b_bbox = self.instance_map[id(b)][1] + if bbox_iou(a_bbox, b_bbox) <= 0: + return 0 + bbox = mean_bbox([a_bbox, b_bbox]) + return OKS(a, b, sigma=self.sigma, bbox=bbox) + +@attrs +class LineMatcher(_ShapeMatcher): + @staticmethod + def distance(a, b): + a_bbox = a.get_bbox() + b_bbox = b.get_bbox() + bbox = max_bbox([a_bbox, b_bbox]) + area = bbox[2] * bbox[3] + if not area: + return 1 + + # compute inter-line area, normalize by common bbox + point_count = max(max(len(a.points) // 2, len(b.points) // 2), 5) + a, sa = smooth_line(a.points, point_count) + b, sb = smooth_line(b.points, point_count) + dists = np.linalg.norm(a - b, axis=1) + dists = (dists[:-1] + dists[1:]) * 0.5 + s = np.sum(dists) * 0.5 * (sa + sb) / area + return abs(1 - s) + +@attrs +class CaptionsMatcher(AnnotationMatcher): + def match_annotations(self, sources): + raise NotImplementedError() + + +@attrs(kw_only=True) +class AnnotationMerger: + _context = attrib(type=IntersectMerge, default=None) + + def merge_clusters(self, clusters): + raise NotImplementedError() + +@attrs(kw_only=True) +class LabelMerger(AnnotationMerger, LabelMatcher): + quorum = attrib(converter=int, default=0) + + def merge_clusters(self, clusters): + assert len(clusters) <= 1 + if len(clusters) == 0: + return [] + + votes = {} # label -> score + for label_ann in clusters[0]: + votes[label_ann.label] = 1 + votes.get(label_ann.label, 0) + + merged = [] + for label, count in votes.items(): + if count < self.quorum: + sources = set(self.get_ann_source(id(a)) for a in clusters[0] + if label not in [l.label for l in a]) + sources = [self._context._dataset_map[s][1] for s in sources] + self._context.add_item_error(FailedLabelVotingError, + sources, votes) + continue + + merged.append(Label(label, attributes={ + 'score': count / len(self._context._dataset_map) + })) + + return merged + +@attrs(kw_only=True) +class _ShapeMerger(AnnotationMerger, _ShapeMatcher): + quorum = attrib(converter=int, default=0) + + def merge_clusters(self, clusters): + merged = [] + for cluster in clusters: + label, label_score = self.find_cluster_label(cluster) + shape, shape_score = self.merge_cluster_shape(cluster) + + shape.z_order = max(cluster, key=lambda a: a.z_order).z_order + shape.label = label + shape.attributes['score'] = label_score * shape_score \ + if label is not None else shape_score + + merged.append(shape) + + return merged + + def find_cluster_label(self, cluster): + votes = {} + for s in cluster: + state = votes.setdefault(s.label, [0, 0]) + state[0] += s.attributes.get('score', 1.0) + state[1] += 1 + + label, (score, count) = max(votes.items(), key=lambda e: e[1][0]) + if count < self.quorum: + self._context.add_item_error(FailedLabelVotingError, votes) + score = score / count if count else None + return label, score + + @staticmethod + def _merge_cluster_shape_mean_box_nearest(cluster): + mbbox = Bbox(*mean_bbox(cluster)) + dist = (segment_iou(mbbox, s) for s in cluster) + nearest_pos, _ = max(enumerate(dist), key=lambda e: e[1]) + return cluster[nearest_pos] + + def merge_cluster_shape(self, cluster): + shape = self._merge_cluster_shape_mean_box_nearest(cluster) + shape_score = sum(max(0, self.distance(shape, s)) + for s in cluster) / len(cluster) + return shape, shape_score + +@attrs +class BboxMerger(_ShapeMerger, BboxMatcher): + pass + +@attrs +class PolygonMerger(_ShapeMerger, PolygonMatcher): + pass + +@attrs +class MaskMerger(_ShapeMerger, MaskMatcher): + pass + +@attrs +class PointsMerger(_ShapeMerger, PointsMatcher): + pass + +@attrs +class LineMerger(_ShapeMerger, LineMatcher): + pass + +@attrs +class CaptionsMerger(AnnotationMerger, CaptionsMatcher): + pass + +def match_segments(a_segms, b_segms, distance='iou', dist_thresh=1.0): + if distance == 'iou': + distance = segment_iou + else: + assert callable(distance) + + a_segms.sort(key=lambda ann: 1 - ann.attributes.get('score', 1)) + b_segms.sort(key=lambda ann: 1 - ann.attributes.get('score', 1)) + + # a_matches: indices of b_segms matched to a bboxes + # b_matches: indices of a_segms matched to b bboxes + a_matches = -np.ones(len(a_segms), dtype=int) + b_matches = -np.ones(len(b_segms), dtype=int) + + distances = np.array([[distance(a, b) for b in b_segms] for a in a_segms]) + + # matches: boxes we succeeded to match completely + # mispred: boxes we succeeded to match, having label mismatch + matches = [] + mispred = [] + + for a_idx, a_segm in enumerate(a_segms): + if len(b_segms) == 0: + break + matched_b = a_matches[a_idx] + max_dist = max(distances[a_idx, matched_b], dist_thresh) + for b_idx, b_segm in enumerate(b_segms): + if 0 <= b_matches[b_idx]: # assign a_segm with max conf + continue + d = distances[a_idx, b_idx] + if d < max_dist: + continue + max_dist = d + matched_b = b_idx + + if matched_b < 0: + continue + a_matches[a_idx] = matched_b + b_matches[matched_b] = a_idx + + b_segm = b_segms[matched_b] + + if a_segm.label == b_segm.label: + matches.append( (a_segm, b_segm) ) + else: + mispred.append( (a_segm, b_segm) ) + + # *_umatched: boxes of (*) we failed to match + a_unmatched = [a_segms[i] for i, m in enumerate(a_matches) if m < 0] + b_unmatched = [b_segms[i] for i, m in enumerate(b_matches) if m < 0] + + return matches, mispred, a_unmatched, b_unmatched def mean_std(dataset): """ @@ -14,6 +787,8 @@ def mean_std(dataset): # Use an online algorithm to: # - handle different image sizes # - avoid cancellation problem + if len(dataset) == 0: + return [0, 0, 0], [0, 0, 0] stats = np.empty((len(dataset), 2, 3), dtype=np.double) counts = np.empty(len(dataset), dtype=np.uint32) @@ -80,3 +855,151 @@ class StatsCounter: *__class__.compute_stats(stats[:h], counts[:h], m, v), *__class__.compute_stats(stats[h:], counts[h:], m, v) ) + +def compute_image_statistics(dataset): + stats = { + 'dataset': {}, + 'subsets': {} + } + + def _extractor_stats(extractor): + available = True + for item in extractor: + if not (item.has_image and item.image.has_data): + available = False + log.warn("Item %s has no image. Image stats won't be computed", + item.id) + break + + stats = { + 'images count': len(extractor), + } + + if available: + mean, std = mean_std(extractor) + stats.update({ + 'image mean': [float(n) for n in mean[::-1]], + 'image std': [float(n) for n in std[::-1]], + }) + else: + stats.update({ + 'image mean': 'n/a', + 'image std': 'n/a', + }) + return stats + + stats['dataset'].update(_extractor_stats(dataset)) + + subsets = dataset.subsets() or [None] + if subsets and 0 < len([s for s in subsets if s]): + for subset_name in subsets: + stats['subsets'][subset_name] = _extractor_stats( + dataset.get_subset(subset_name)) + + return stats + +def compute_ann_statistics(dataset): + labels = dataset.categories().get(AnnotationType.label) + def get_label(ann): + return labels.items[ann.label].name if ann.label is not None else None + + stats = { + 'images count': len(dataset), + 'annotations count': 0, + 'unannotated images count': 0, + 'unannotated images': [], + 'annotations by type': { t.name: { + 'count': 0, + } for t in AnnotationType }, + 'annotations': {}, + } + by_type = stats['annotations by type'] + + attr_template = { + 'count': 0, + 'values count': 0, + 'values present': set(), + 'distribution': {}, # value -> (count, total%) + } + label_stat = { + 'count': 0, + 'distribution': { l.name: [0, 0] for l in labels.items + }, # label -> (count, total%) + + 'attributes': {}, + } + stats['annotations']['labels'] = label_stat + segm_stat = { + 'avg. area': 0, + 'area distribution': [], # a histogram with 10 bins + # (min, min+10%), ..., (min+90%, max) -> (count, total%) + + 'pixel distribution': { l.name: [0, 0] for l in labels.items + }, # label -> (count, total%) + } + stats['annotations']['segments'] = segm_stat + segm_areas = [] + pixel_dist = segm_stat['pixel distribution'] + total_pixels = 0 + + for item in dataset: + if len(item.annotations) == 0: + stats['unannotated images'].append(item.id) + continue + + for ann in item.annotations: + by_type[ann.type.name]['count'] += 1 + + if not hasattr(ann, 'label') or ann.label is None: + continue + + if ann.type in {AnnotationType.mask, + AnnotationType.polygon, AnnotationType.bbox}: + area = ann.get_area() + segm_areas.append(area) + pixel_dist[get_label(ann)][0] += int(area) + + label_stat['count'] += 1 + label_stat['distribution'][get_label(ann)][0] += 1 + + for name, value in ann.attributes.items(): + if name.lower() in { 'occluded', 'visibility', 'score', + 'id', 'track_id' }: + continue + attrs_stat = label_stat['attributes'].setdefault(name, + deepcopy(attr_template)) + attrs_stat['count'] += 1 + attrs_stat['values present'].add(str(value)) + attrs_stat['distribution'] \ + .setdefault(str(value), [0, 0])[0] += 1 + + stats['annotations count'] = sum(t['count'] for t in + stats['annotations by type'].values()) + stats['unannotated images count'] = len(stats['unannotated images']) + + for label_info in label_stat['distribution'].values(): + label_info[1] = label_info[0] / label_stat['count'] + + for label_attr in label_stat['attributes'].values(): + label_attr['values count'] = len(label_attr['values present']) + label_attr['values present'] = sorted(label_attr['values present']) + for attr_info in label_attr['distribution'].values(): + attr_info[1] = attr_info[0] / label_attr['count'] + + # numpy.sum might be faster, but could overflow with large datasets. + # Python's int can transparently mutate to be of indefinite precision (long) + total_pixels = sum(int(a) for a in segm_areas) + + segm_stat['avg. area'] = total_pixels / (len(segm_areas) or 1.0) + + for label_info in segm_stat['pixel distribution'].values(): + label_info[1] = label_info[0] / total_pixels + + if len(segm_areas) != 0: + hist, bins = np.histogram(segm_areas) + segm_stat['area distribution'] = [{ + 'min': float(bin_min), 'max': float(bin_max), + 'count': int(c), 'percent': int(c) / len(segm_areas) + } for c, (bin_min, bin_max) in zip(hist, zip(bins[:-1], bins[1:]))] + + return stats diff --git a/datumaro/datumaro/components/project.py b/datumaro/datumaro/components/project.py index 9ee38839..8ac3ceb0 100644 --- a/datumaro/datumaro/components/project.py +++ b/datumaro/datumaro/components/project.py @@ -351,16 +351,7 @@ class Dataset(Extractor): @classmethod def from_extractors(cls, *sources): - # merge categories - # TODO: implement properly with merging and annotations remapping - categories = {} - for source in sources: - categories.update(source.categories()) - for source in sources: - for cat_type, source_cat in source.categories().items(): - if not categories[cat_type] == source_cat: - raise NotImplementedError( - "Merging different categories is not implemented yet") + categories = cls._merge_categories(s.categories() for s in sources) dataset = Dataset(categories=categories) # merge items @@ -457,7 +448,7 @@ class Dataset(Extractor): @classmethod def _merge_items(cls, existing_item, current_item, path=None): return existing_item.wrap(path=path, - image=cls._merge_images(existing_item, current_item), + image=cls._merge_images(existing_item, current_item), annotations=cls._merge_anno( existing_item.annotations, current_item.annotations)) @@ -489,18 +480,15 @@ class Dataset(Extractor): @staticmethod def _merge_anno(a, b): - from itertools import chain - merged = [] - for item in chain(a, b): - found = False - for elem in merged: - if elem == item: - found = True - break - if not found: - merged.append(item) - - return merged + # TODO: implement properly with merging and annotations remapping + from .operations import merge_annotations_equal + return merge_annotations_equal(a, b) + + @staticmethod + def _merge_categories(sources): + # TODO: implement properly with merging and annotations remapping + from .operations import merge_categories + return merge_categories(sources) class ProjectDataset(Dataset): def __init__(self, project): @@ -535,14 +523,9 @@ class ProjectDataset(Dataset): # merge categories # TODO: implement properly with merging and annotations remapping - categories = {} - for source in self._sources.values(): - categories.update(source.categories()) - for source in self._sources.values(): - for cat_type, source_cat in source.categories().items(): - if not categories[cat_type] == source_cat: - raise NotImplementedError( - "Merging different categories is not implemented yet") + categories = self._merge_categories(s.categories() + for s in self._sources.values()) + # ovewrite with own categories if own_source is not None and (not categories or len(own_source) != 0): categories.update(own_source.categories()) self._categories = categories diff --git a/datumaro/datumaro/plugins/accuracy_checker_plugin/details/representation.py b/datumaro/datumaro/plugins/accuracy_checker_plugin/details/representation.py index 023c0955..d7007806 100644 --- a/datumaro/datumaro/plugins/accuracy_checker_plugin/details/representation.py +++ b/datumaro/datumaro/plugins/accuracy_checker_plugin/details/representation.py @@ -9,7 +9,7 @@ import_tf() # prevent TF loading and potential interpeter crash import accuracy_checker.representation as ac import datumaro.components.extractor as dm -from datumaro.util.annotation_tools import softmax +from datumaro.util.annotation_util import softmax def import_predictions(predictions): # Convert Accuracy checker predictions to Datumaro annotations diff --git a/datumaro/datumaro/plugins/coco_format/converter.py b/datumaro/datumaro/plugins/coco_format/converter.py index 7c30636b..27cdd087 100644 --- a/datumaro/datumaro/plugins/coco_format/converter.py +++ b/datumaro/datumaro/plugins/coco_format/converter.py @@ -12,16 +12,15 @@ from itertools import groupby import pycocotools.mask as mask_utils -import datumaro.util.annotation_tools as anno_tools +import datumaro.util.annotation_util as anno_tools import datumaro.util.mask_tools as mask_tools from datumaro.components.converter import Converter -from datumaro.components.extractor import (DEFAULT_SUBSET_NAME, AnnotationType, - Points) +from datumaro.components.extractor import (_COORDINATE_ROUNDING_DIGITS, + DEFAULT_SUBSET_NAME, AnnotationType, Points) from datumaro.util import cast, find, str_to_bool from .format import CocoPath, CocoTask - SegmentationMode = Enum('SegmentationMode', ['guess', 'polygons', 'mask']) class _TaskConverter: @@ -203,7 +202,7 @@ class _InstancesConverter(_TaskConverter): anns = boxes + polygons + masks leader = anno_tools.find_group_leader(anns) - bbox = anno_tools.compute_bbox(anns) + bbox = anno_tools.max_bbox(anns) mask = None polygons = [p.points for p in polygons] @@ -298,8 +297,8 @@ class _InstancesConverter(_TaskConverter): rles = mask_utils.merge(rles) area = mask_utils.area(rles) else: - x, y, w, h = bbox - segmentation = [[x, y, x + w, y, x + w, y + h, x, y + h]] + _, _, w, h = bbox + segmentation = [] area = w * h elem = { @@ -308,7 +307,7 @@ class _InstancesConverter(_TaskConverter): 'category_id': cast(ann.label, int, -1) + 1, 'segmentation': segmentation, 'area': float(area), - 'bbox': list(map(float, bbox)), + 'bbox': [round(float(n), _COORDINATE_ROUNDING_DIGITS) for n in bbox], 'iscrowd': int(is_crowd), } if 'score' in ann.attributes: @@ -336,7 +335,6 @@ class _KeypointsConverter(_InstancesConverter): 'supercategory': cast(label_cat.parent, str, ''), 'keypoints': [], 'skeleton': [], - } if point_categories is not None: diff --git a/datumaro/datumaro/plugins/cvat_format/converter.py b/datumaro/datumaro/plugins/cvat_format/converter.py index 0db14e1a..37751703 100644 --- a/datumaro/datumaro/plugins/cvat_format/converter.py +++ b/datumaro/datumaro/plugins/cvat_format/converter.py @@ -11,7 +11,7 @@ from xml.sax.saxutils import XMLGenerator from datumaro.components.converter import Converter from datumaro.components.extractor import DEFAULT_SUBSET_NAME, AnnotationType -from datumaro.util import cast, pairwise +from datumaro.util import cast, pairs from .format import CvatPath @@ -246,7 +246,7 @@ class _SubsetWriter: ','.join(( "{:.2f}".format(x), "{:.2f}".format(y) - )) for x, y in pairwise(shape.points)) + )) for x, y in pairs(shape.points)) )), ])) diff --git a/datumaro/datumaro/plugins/cvat_format/extractor.py b/datumaro/datumaro/plugins/cvat_format/extractor.py index 2c63bd2e..75a3e5d8 100644 --- a/datumaro/datumaro/plugins/cvat_format/extractor.py +++ b/datumaro/datumaro/plugins/cvat_format/extractor.py @@ -102,7 +102,7 @@ class CvatExtractor(SourceExtractor): else: try: attr_value = float(attr_value) - except Exception: + except ValueError: pass attributes[el.attrib['name']] = attr_value elif el.tag in cls._SUPPORTED_SHAPES: @@ -251,7 +251,7 @@ class CvatExtractor(SourceExtractor): @classmethod def _parse_shape_ann(cls, ann, categories): - ann_id = ann.get('id') + ann_id = ann.get('id', 0) ann_type = ann['type'] attributes = ann.get('attributes') or {} diff --git a/datumaro/datumaro/plugins/datumaro_format/converter.py b/datumaro/datumaro/plugins/datumaro_format/converter.py index 6e948a25..81c2cd55 100644 --- a/datumaro/datumaro/plugins/datumaro_format/converter.py +++ b/datumaro/datumaro/plugins/datumaro_format/converter.py @@ -54,7 +54,8 @@ class _SubsetWriter: if item.has_image: path = item.image.path if self._context._save_images: - path = self._context._save_image(item) + path = self._context._make_image_filename(item) + self._context._save_image(item, path) item_desc['image'] = { 'size': item.image.size, diff --git a/datumaro/datumaro/plugins/labelme_format.py b/datumaro/datumaro/plugins/labelme_format.py index d8c71716..5218e36f 100644 --- a/datumaro/datumaro/plugins/labelme_format.py +++ b/datumaro/datumaro/plugins/labelme_format.py @@ -83,7 +83,7 @@ class LabelMeExtractor(SourceExtractor): else: try: value = float(value) - except Exception: + except ValueError: pass parsed.append((name, value)) else: diff --git a/datumaro/datumaro/plugins/tf_detection_api_format/converter.py b/datumaro/datumaro/plugins/tf_detection_api_format/converter.py index 481e8a2e..7ff3569d 100644 --- a/datumaro/datumaro/plugins/tf_detection_api_format/converter.py +++ b/datumaro/datumaro/plugins/tf_detection_api_format/converter.py @@ -16,7 +16,7 @@ from datumaro.components.extractor import (AnnotationType, DEFAULT_SUBSET_NAME, ) from datumaro.components.converter import Converter from datumaro.util.image import encode_image -from datumaro.util.annotation_tools import (compute_bbox, +from datumaro.util.annotation_util import (max_bbox, find_group_leader, find_instances) from datumaro.util.mask_tools import merge_masks from datumaro.util.tf_util import import_tf as _import_tf @@ -111,7 +111,7 @@ class TfDetectionApiConverter(Converter): anns = boxes + masks leader = find_group_leader(anns) - bbox = compute_bbox(anns) + bbox = max_bbox(anns) mask = None if self._save_masks: diff --git a/datumaro/datumaro/plugins/transforms.py b/datumaro/datumaro/plugins/transforms.py index 520d6afd..368a891a 100644 --- a/datumaro/datumaro/plugins/transforms.py +++ b/datumaro/datumaro/plugins/transforms.py @@ -17,7 +17,7 @@ from datumaro.components.extractor import (Transform, AnnotationType, ) from datumaro.components.cli_plugin import CliPlugin import datumaro.util.mask_tools as mask_tools -from datumaro.util.annotation_tools import find_group_leader, find_instances +from datumaro.util.annotation_util import find_group_leader, find_instances class CropCoveredSegments(Transform, CliPlugin): @@ -322,6 +322,7 @@ class RandomSplit(Transform, CliPlugin): parser = super().build_cmdline_parser(**kwargs) parser.add_argument('-s', '--subset', action='append', type=cls._split_arg, dest='splits', + default=[('train', 0.67), ('test', 0.33)], help="Subsets in the form of: ':' (repeatable)") parser.add_argument('--seed', type=int, help="Random seed") return parser @@ -503,7 +504,6 @@ class RemapLabels(Transform, CliPlugin): return self._categories def transform_item(self, item): - # TODO: provide non-inplace version annotations = [] for ann in item.annotations: if ann.type in { AnnotationType.label, AnnotationType.mask, @@ -512,9 +512,7 @@ class RemapLabels(Transform, CliPlugin): } and ann.label is not None: conv_label = self._map_id(ann.label) if conv_label is not None: - ann._label = conv_label - annotations.append(ann) + annotations.append(ann.wrap(label=conv_label)) else: - annotations.append(ann) - item._annotations = annotations - return item \ No newline at end of file + annotations.append(ann.wrap()) + return item.wrap(annotations=annotations) \ No newline at end of file diff --git a/datumaro/datumaro/util/__init__.py b/datumaro/datumaro/util/__init__.py index 126a365b..293bb5f6 100644 --- a/datumaro/datumaro/util/__init__.py +++ b/datumaro/datumaro/util/__init__.py @@ -62,7 +62,7 @@ def to_snake_case(s): name.append(char) return ''.join(name) -def pairwise(iterable): +def pairs(iterable): a = iter(iterable) return zip(a, a) diff --git a/datumaro/datumaro/util/annotation_tools.py b/datumaro/datumaro/util/annotation_tools.py deleted file mode 100644 index add234e7..00000000 --- a/datumaro/datumaro/util/annotation_tools.py +++ /dev/null @@ -1,34 +0,0 @@ - -# Copyright (C) 2020 Intel Corporation -# -# SPDX-License-Identifier: MIT - -from itertools import groupby - -import numpy as np - - -def find_instances(instance_anns): - instance_anns = sorted(instance_anns, key=lambda a: a.group) - ann_groups = [] - for g_id, group in groupby(instance_anns, lambda a: a.group): - if not g_id: - ann_groups.extend(([a] for a in group)) - else: - ann_groups.append(list(group)) - - return ann_groups - -def find_group_leader(group): - return max(group, key=lambda x: x.get_area()) - -def compute_bbox(annotations): - boxes = [ann.get_bbox() for ann in annotations] - x0 = min((b[0] for b in boxes), default=0) - y0 = min((b[1] for b in boxes), default=0) - x1 = max((b[0] + b[2] for b in boxes), default=0) - y1 = max((b[1] + b[3] for b in boxes), default=0) - return [x0, y0, x1 - x0, y1 - y0] - -def softmax(x): - return np.exp(x) / sum(np.exp(x)) diff --git a/datumaro/datumaro/util/annotation_util.py b/datumaro/datumaro/util/annotation_util.py new file mode 100644 index 00000000..38a2c814 --- /dev/null +++ b/datumaro/datumaro/util/annotation_util.py @@ -0,0 +1,213 @@ + +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +from itertools import groupby + +import numpy as np + +from datumaro.components.extractor import _Shape, Mask, AnnotationType, RleMask +from datumaro.util.mask_tools import mask_to_rle + + +def find_instances(instance_anns): + instance_anns = sorted(instance_anns, key=lambda a: a.group) + ann_groups = [] + for g_id, group in groupby(instance_anns, lambda a: a.group): + if not g_id: + ann_groups.extend(([a] for a in group)) + else: + ann_groups.append(list(group)) + + return ann_groups + +def find_group_leader(group): + return max(group, key=lambda x: x.get_area()) + +def _get_bbox(ann): + if isinstance(ann, (_Shape, Mask)): + return ann.get_bbox() + else: + return ann + +def max_bbox(annotations): + boxes = [_get_bbox(ann) for ann in annotations] + x0 = min((b[0] for b in boxes), default=0) + y0 = min((b[1] for b in boxes), default=0) + x1 = max((b[0] + b[2] for b in boxes), default=0) + y1 = max((b[1] + b[3] for b in boxes), default=0) + return [x0, y0, x1 - x0, y1 - y0] + +def mean_bbox(annotations): + le = len(annotations) + boxes = [_get_bbox(ann) for ann in annotations] + mlb = sum(b[0] for b in boxes) / le + mtb = sum(b[1] for b in boxes) / le + mrb = sum(b[0] + b[2] for b in boxes) / le + mbb = sum(b[1] + b[3] for b in boxes) / le + return [mlb, mtb, mrb - mlb, mbb - mtb] + +def softmax(x): + return np.exp(x) / sum(np.exp(x)) + +def nms(segments, iou_thresh=0.5): + """ + Non-maxima suppression algorithm. + """ + + indices = np.argsort([b.attributes['score'] for b in segments]) + ious = np.array([[iou(a, b) for b in segments] for a in segments]) + + predictions = [] + while len(indices) != 0: + i = len(indices) - 1 + pred_idx = indices[i] + to_remove = [i] + predictions.append(segments[pred_idx]) + for i, box_idx in enumerate(indices[:i]): + if iou_thresh < ious[pred_idx, box_idx]: + to_remove.append(i) + indices = np.delete(indices, to_remove) + + return predictions + +def bbox_iou(a, b): + """ + IoU computations for simple cases with bounding boxes + """ + bbox_a = _get_bbox(a) + bbox_b = _get_bbox(b) + + aX, aY, aW, aH = bbox_a + bX, bY, bW, bH = bbox_b + in_right = min(aX + aW, bX + bW) + in_left = max(aX, bX) + in_top = max(aY, bY) + in_bottom = min(aY + aH, bY + bH) + + in_w = max(0, in_right - in_left) + in_h = max(0, in_bottom - in_top) + intersection = in_w * in_h + if not intersection: + return -1 + + a_area = aW * aH + b_area = bW * bH + union = a_area + b_area - intersection + return intersection / union + +def segment_iou(a, b): + """ + Generic IoU computation with masks, polygons, and boxes. + Returns -1 if no intersection, [0; 1] otherwise + """ + from pycocotools import mask as mask_utils + + a_bbox = a.get_bbox() + b_bbox = b.get_bbox() + + is_bbox = AnnotationType.bbox in [a.type, b.type] + if is_bbox: + a = [a_bbox] + b = [b_bbox] + else: + w = max(a_bbox[0] + a_bbox[2], b_bbox[0] + b_bbox[2]) + h = max(a_bbox[1] + a_bbox[3], b_bbox[1] + b_bbox[3]) + + def _to_rle(ann): + if ann.type == AnnotationType.polygon: + return mask_utils.frPyObjects([ann.points], h, w) + elif isinstance(ann, RleMask): + return [ann._rle] + elif ann.type == AnnotationType.mask: + return mask_utils.frPyObjects([mask_to_rle(ann.image)], h, w) + else: + raise TypeError("Unexpected arguments: %s, %s" % (a, b)) + a = _to_rle(a) + b = _to_rle(b) + return float(mask_utils.iou(a, b, [not is_bbox])) + +def PDJ(a, b, eps=None, ratio=0.05, bbox=None): + """ + Percentage of Detected Joints metric. + Counts the number of matching points. + """ + + assert eps is not None or ratio is not None + + p1 = np.array(a.points).reshape((-1, 2)) + p2 = np.array(b.points).reshape((-1, 2)) + if len(p1) != len(p2): + return 0 + + if not eps: + if bbox is None: + bbox = mean_bbox([a, b]) + + diag = (bbox[2] ** 2 + bbox[3] ** 2) ** 0.5 + eps = ratio * diag + + dists = np.linalg.norm(p1 - p2, axis=1) + return np.sum(dists < eps) / len(p1) + +def OKS(a, b, sigma=None, bbox=None, scale=None): + """ + Object Keypoint Similarity metric. + https://cocodataset.org/#keypoints-eval + """ + + p1 = np.array(a.points).reshape((-1, 2)) + p2 = np.array(b.points).reshape((-1, 2)) + if len(p1) != len(p2): + return 0 + + if not sigma: + sigma = 0.1 + else: + assert len(sigma) == len(p1) + + if not scale: + if bbox is None: + bbox = mean_bbox([a, b]) + scale = bbox[2] * bbox[3] + + dists = np.linalg.norm(p1 - p2, axis=1) + return np.sum(np.exp(-(dists ** 2) / (2 * scale * (2 * sigma) ** 2))) + +def smooth_line(points, segments): + assert 2 <= len(points) // 2 and len(points) % 2 == 0 + + if len(points) // 2 == segments: + return points + + points = list(points) + if len(points) == 2: + points.extend(points) + points = np.array(points).reshape((-1, 2)) + + lengths = np.linalg.norm(points[1:] - points[:-1], axis=1) + dists = [0] + for l in lengths: + dists.append(dists[-1] + l) + + step = dists[-1] / segments + + new_points = np.zeros((segments + 1, 2)) + new_points[0] = points[0] + + old_segment = 0 + for new_segment in range(1, segments + 1): + pos = new_segment * step + while dists[old_segment + 1] < pos and old_segment + 2 < len(dists): + old_segment += 1 + + segment_start = dists[old_segment] + segment_len = lengths[old_segment] + prev_p = points[old_segment] + next_p = points[old_segment + 1] + r = (pos - segment_start) / segment_len + + new_points[new_segment] = prev_p * (1 - r) + next_p * r + + return new_points, step diff --git a/datumaro/datumaro/util/attrs_util.py b/datumaro/datumaro/util/attrs_util.py new file mode 100644 index 00000000..15f0c318 --- /dev/null +++ b/datumaro/datumaro/util/attrs_util.py @@ -0,0 +1,34 @@ + +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import attr + +_NOTSET = object() + +def not_empty(inst, attribute, x): + assert len(x) != 0, x + +def default_if_none(conv): + def validator(inst, attribute, value): + default = attribute.default + if value is None: + if callable(default): + value = default() + elif isinstance(default, attr.Factory): + value = default.factory() + else: + value = default + elif not isinstance(value, attribute.type or conv): + value = conv(value) + setattr(inst, attribute.name, value) + return validator + +def ensure_cls(c): + def converter(arg): + if isinstance(arg, c): + return arg + else: + return c(**arg) + return converter \ No newline at end of file diff --git a/datumaro/datumaro/util/test_utils.py b/datumaro/datumaro/util/test_utils.py index f9ce0369..f93a74ce 100644 --- a/datumaro/datumaro/util/test_utils.py +++ b/datumaro/datumaro/util/test_utils.py @@ -43,19 +43,6 @@ class TestDir(FileRemover): super().__init__(path, is_dir=True, ignore_errors=ignore_errors) -def ann_to_str(ann): - return vars(ann) - -def item_to_str(item): - return '\n'.join( - [ - '%s' % vars(item) - ] + [ - 'ann[%s]: %s' % (i, ann_to_str(a)) - for i, a in enumerate(item.annotations) - ] - ) - def compare_categories(test, expected, actual): test.assertEqual( sorted(expected, key=lambda t: t.value), @@ -78,7 +65,22 @@ def compare_categories(test, expected, actual): actual[AnnotationType.points].items, ) -def compare_datasets(test, expected, actual): +def _compare_annotations(expected, actual, ignored_attrs=None): + if not ignored_attrs: + return expected == actual + + a_attr = expected.attributes + b_attr = actual.attributes + + expected.attributes = {k:v for k,v in a_attr.items() if k not in ignored_attrs} + actual.attributes = {k:v for k,v in b_attr.items() if k not in ignored_attrs} + r = expected == actual + + expected.attributes = a_attr + actual.attributes = b_attr + return r + +def compare_datasets(test, expected, actual, ignored_attrs=None): compare_categories(test, expected.categories(), actual.categories()) test.assertEqual(sorted(expected.subsets()), sorted(actual.subsets())) @@ -92,12 +94,14 @@ def compare_datasets(test, expected, actual): for ann_a in item_a.annotations: # We might find few corresponding items, so check them all ann_b_matches = [x for x in item_b.annotations - if x.id == ann_a.id and \ - x.type == ann_a.type and x.group == ann_a.group] + if x.type == ann_a.type] test.assertFalse(len(ann_b_matches) == 0, 'ann id: %s' % ann_a.id) - ann_b = find(ann_b_matches, lambda x: x == ann_a) - test.assertEqual(ann_a, ann_b, 'ann: %s' % ann_to_str(ann_a)) + ann_b = find(ann_b_matches, lambda x: + _compare_annotations(x, ann_a, ignored_attrs=ignored_attrs)) + if ann_b is None: + test.assertEqual(ann_a, ann_b, + 'ann %s, candidates %s' % (ann_a, ann_b_matches)) item_b.annotations.remove(ann_b) # avoid repeats def compare_datasets_strict(test, expected, actual): @@ -115,4 +119,4 @@ def compare_datasets_strict(test, expected, actual): for idx, (item_a, item_b) in enumerate(zip(e_subset, a_subset)): test.assertEqual(item_a, item_b, '%s:\n%s\nvs.\n%s\n' % \ - (idx, item_to_str(item_a), item_to_str(item_b))) \ No newline at end of file + (idx, item_a, item_b)) \ No newline at end of file diff --git a/datumaro/requirements.txt b/datumaro/requirements.txt index c75978fc..ce583783 100644 --- a/datumaro/requirements.txt +++ b/datumaro/requirements.txt @@ -1,3 +1,4 @@ +attrs>=19.3.0 Cython>=0.27.3 # include before pycocotools defusedxml>=0.6.0 GitPython>=3.0.8 diff --git a/datumaro/setup.py b/datumaro/setup.py index 90c39ce4..4ebf1119 100644 --- a/datumaro/setup.py +++ b/datumaro/setup.py @@ -48,6 +48,7 @@ setuptools.setup( ], python_requires='>=3.5', install_requires=[ + 'attrs', 'defusedxml', 'GitPython', 'lxml', diff --git a/datumaro/tests/test_coco_format.py b/datumaro/tests/test_coco_format.py index 3c50996e..131284be 100644 --- a/datumaro/tests/test_coco_format.py +++ b/datumaro/tests/test_coco_format.py @@ -4,8 +4,8 @@ import os.path as osp from unittest import TestCase -from datumaro.components.project import (Project, Dataset) -from datumaro.components.extractor import (Extractor, DatasetItem, +from datumaro.components.project import Project, Dataset +from datumaro.components.extractor import (DatasetItem, AnnotationType, Label, Mask, Points, Polygon, Bbox, Caption, LabelCategories, PointsCategories ) @@ -26,7 +26,6 @@ DUMMY_DATASET_DIR = osp.join(osp.dirname(__file__), 'assets', 'coco_dataset') class CocoImporterTest(TestCase): def test_can_import(self): - expected_dataset = Dataset.from_iterable([ DatasetItem(id='000000000001', image=np.ones((10, 5, 3)), subset='val', attributes={'id': 1}, @@ -349,7 +348,6 @@ class CocoConverterTest(TestCase): CocoLabelsConverter.convert, test_dir) def test_can_save_and_load_keypoints(self): - source_dataset = Dataset.from_iterable([ DatasetItem(id=1, subset='train', image=np.zeros((5, 5, 3)), annotations=[ @@ -373,11 +371,11 @@ class CocoConverterTest(TestCase): Points([0, 0, 1, 2, 3, 4], [0, 1, 2], id=5), ]), ], categories={ - AnnotationType.label: LabelCategories.from_iterable( - str(i) for i in range(10)), - AnnotationType.points: PointsCategories.from_iterable( - (i, None, [[0, 1], [1, 2]]) for i in range(10) - ), + AnnotationType.label: LabelCategories.from_iterable( + str(i) for i in range(10)), + AnnotationType.points: PointsCategories.from_iterable( + (i, None, [[0, 1], [1, 2]]) for i in range(10) + ), }) target_dataset = Dataset.from_iterable([ @@ -393,30 +391,30 @@ class CocoConverterTest(TestCase): Points([1, 2, 3, 4, 2, 3], group=2, id=2, attributes={'is_crowd': False}), - Polygon([1, 2, 3, 2, 3, 4, 1, 4], + Bbox(1, 2, 2, 2, group=2, id=2, attributes={'is_crowd': False}), Points([1, 2, 0, 2, 4, 1], label=5, group=3, id=3, attributes={'is_crowd': False}), - Polygon([0, 1, 4, 1, 4, 2, 0, 2], + Bbox(0, 1, 4, 1, label=5, group=3, id=3, attributes={'is_crowd': False}), Points([0, 0, 1, 2, 3, 4], [0, 1, 2], group=5, id=5, attributes={'is_crowd': False}), - Polygon([1, 2, 3, 2, 3, 4, 1, 4], + Bbox(1, 2, 2, 2, group=5, id=5, attributes={'is_crowd': False}), ], attributes={'id': 1}), ], categories={ - AnnotationType.label: LabelCategories.from_iterable( - str(i) for i in range(10)), - AnnotationType.points: PointsCategories.from_iterable( - (i, None, [[0, 1], [1, 2]]) for i in range(10) - ), + AnnotationType.label: LabelCategories.from_iterable( + str(i) for i in range(10)), + AnnotationType.points: PointsCategories.from_iterable( + (i, None, [[0, 1], [1, 2]]) for i in range(10) + ), }) with TestDir() as test_dir: diff --git a/datumaro/tests/test_datumaro_format.py b/datumaro/tests/test_datumaro_format.py index e67a1b90..8faf5ef0 100644 --- a/datumaro/tests/test_datumaro_format.py +++ b/datumaro/tests/test_datumaro_format.py @@ -32,56 +32,58 @@ class DatumaroConverterTest(TestCase): compare_datasets_strict(self, expected=target_dataset, actual=parsed_dataset) - label_categories = LabelCategories() - for i in range(5): - label_categories.add('cat' + str(i)) - - mask_categories = MaskCategories( - generate_colormap(len(label_categories.items))) - - points_categories = PointsCategories() - for index, _ in enumerate(label_categories.items): - points_categories.add(index, ['cat1', 'cat2'], joints=[[0, 1]]) - - test_dataset = Dataset.from_iterable([ - DatasetItem(id=100, subset='train', image=np.ones((10, 6, 3)), - annotations=[ - Caption('hello', id=1), - Caption('world', id=2, group=5), - Label(2, id=3, attributes={ - 'x': 1, - 'y': '2', - }), - Bbox(1, 2, 3, 4, label=4, id=4, z_order=1, attributes={ - 'score': 1.0, - }), - Bbox(5, 6, 7, 8, id=5, group=5), - Points([1, 2, 2, 0, 1, 1], label=0, id=5, z_order=4), - Mask(label=3, id=5, z_order=2, image=np.ones((2, 3))), - ]), - DatasetItem(id=21, subset='train', - annotations=[ - Caption('test'), - Label(2), - Bbox(1, 2, 3, 4, 5, id=42, group=42) - ]), - - DatasetItem(id=2, subset='val', - annotations=[ - PolyLine([1, 2, 3, 4, 5, 6, 7, 8], id=11, z_order=1), - Polygon([1, 2, 3, 4, 5, 6, 7, 8], id=12, z_order=4), - ]), - - DatasetItem(id=42, subset='test', - attributes={'a1': 5, 'a2': '42'}), - - DatasetItem(id=42), - DatasetItem(id=43, image=Image(path='1/b/c.qq', size=(2, 4))), - ], categories={ - AnnotationType.label: label_categories, - AnnotationType.mask: mask_categories, - AnnotationType.points: points_categories, - }) + @property + def test_dataset(self): + label_categories = LabelCategories() + for i in range(5): + label_categories.add('cat' + str(i)) + + mask_categories = MaskCategories( + generate_colormap(len(label_categories.items))) + + points_categories = PointsCategories() + for index, _ in enumerate(label_categories.items): + points_categories.add(index, ['cat1', 'cat2'], joints=[[0, 1]]) + + return Dataset.from_iterable([ + DatasetItem(id=100, subset='train', image=np.ones((10, 6, 3)), + annotations=[ + Caption('hello', id=1), + Caption('world', id=2, group=5), + Label(2, id=3, attributes={ + 'x': 1, + 'y': '2', + }), + Bbox(1, 2, 3, 4, label=4, id=4, z_order=1, attributes={ + 'score': 1.0, + }), + Bbox(5, 6, 7, 8, id=5, group=5), + Points([1, 2, 2, 0, 1, 1], label=0, id=5, z_order=4), + Mask(label=3, id=5, z_order=2, image=np.ones((2, 3))), + ]), + DatasetItem(id=21, subset='train', + annotations=[ + Caption('test'), + Label(2), + Bbox(1, 2, 3, 4, label=5, id=42, group=42) + ]), + + DatasetItem(id=2, subset='val', + annotations=[ + PolyLine([1, 2, 3, 4, 5, 6, 7, 8], id=11, z_order=1), + Polygon([1, 2, 3, 4, 5, 6, 7, 8], id=12, z_order=4), + ]), + + DatasetItem(id=42, subset='test', + attributes={'a1': 5, 'a2': '42'}), + + DatasetItem(id=42), + DatasetItem(id=43, image=Image(path='1/b/c.qq', size=(2, 4))), + ], categories={ + AnnotationType.label: label_categories, + AnnotationType.mask: mask_categories, + AnnotationType.points: points_categories, + }) def test_can_save_and_load(self): with TestDir() as test_dir: diff --git a/datumaro/tests/test_ops.py b/datumaro/tests/test_ops.py index 24f32f35..dd4520b5 100644 --- a/datumaro/tests/test_ops.py +++ b/datumaro/tests/test_ops.py @@ -1,9 +1,14 @@ -import numpy as np +from unittest import TestCase -from datumaro.components.extractor import Extractor, DatasetItem -from datumaro.components.operations import mean_std +import numpy as np -from unittest import TestCase +from datumaro.components.extractor import (Bbox, Caption, DatasetItem, + Extractor, Label, Mask, Points, Polygon, PolyLine) +from datumaro.components.operations import (FailedAttrVotingError, + IntersectMerge, NoMatchingAnnError, NoMatchingItemError, WrongGroupError, + compute_ann_statistics, mean_std) +from datumaro.components.project import Dataset +from datumaro.util.test_utils import compare_datasets class TestOperations(TestCase): @@ -28,4 +33,335 @@ class TestOperations(TestCase): for em, am in zip(expected_mean, actual_mean): self.assertAlmostEqual(em, am, places=0) for estd, astd in zip(expected_std, actual_std): - self.assertAlmostEqual(estd, astd, places=0) \ No newline at end of file + self.assertAlmostEqual(estd, astd, places=0) + + def test_stats(self): + dataset = Dataset.from_iterable([ + DatasetItem(id=1, image=np.ones((5, 5, 3)), annotations=[ + Caption('hello'), + Caption('world'), + Label(2, attributes={ 'x': 1, 'y': '2', }), + Bbox(1, 2, 2, 2, label=2, attributes={ 'score': 0.5, }), + Bbox(5, 6, 2, 2, attributes={ + 'x': 1, 'y': '3', 'occluded': True, + }), + Points([1, 2, 2, 0, 1, 1], label=0), + Mask(label=3, image=np.array([ + [0, 0, 1, 1, 1], + [0, 0, 1, 1, 1], + [0, 0, 1, 1, 1], + [0, 0, 0, 0, 0], + [0, 0, 0, 0, 0], + ])), + ]), + DatasetItem(id=2, image=np.ones((2, 4, 3)), annotations=[ + Label(2, attributes={ 'x': 2, 'y': '2', }), + Bbox(1, 2, 2, 2, label=3, attributes={ 'score': 0.5, }), + Bbox(5, 6, 2, 2, attributes={ + 'x': 2, 'y': '3', 'occluded': False, + }), + ]), + DatasetItem(id=3), + ], categories=['label_%s' % i for i in range(4)]) + + expected = { + 'images count': 3, + 'annotations count': 10, + 'unannotated images count': 1, + 'unannotated images': ['3'], + 'annotations by type': { + 'label': { 'count': 2, }, + 'polygon': { 'count': 0, }, + 'polyline': { 'count': 0, }, + 'bbox': { 'count': 4, }, + 'mask': { 'count': 1, }, + 'points': { 'count': 1, }, + 'caption': { 'count': 2, }, + }, + 'annotations': { + 'labels': { + 'count': 6, + 'distribution': { + 'label_0': [1, 1/6], + 'label_1': [0, 0.0], + 'label_2': [3, 3/6], + 'label_3': [2, 2/6], + }, + 'attributes': { + 'x': { + 'count': 2, # unnotations with no label are skipped + 'values count': 2, + 'values present': ['1', '2'], + 'distribution': { + '1': [1, 1/2], + '2': [1, 1/2], + }, + }, + 'y': { + 'count': 2, # unnotations with no label are skipped + 'values count': 1, + 'values present': ['2'], + 'distribution': { + '2': [2, 2/2], + }, + }, + # must not include "special" attributes like "occluded" + } + }, + 'segments': { + 'avg. area': (4 * 2 + 9 * 1) / 3, + 'area distribution': [ + {'min': 4.0, 'max': 4.5, 'count': 2, 'percent': 2/3}, + {'min': 4.5, 'max': 5.0, 'count': 0, 'percent': 0.0}, + {'min': 5.0, 'max': 5.5, 'count': 0, 'percent': 0.0}, + {'min': 5.5, 'max': 6.0, 'count': 0, 'percent': 0.0}, + {'min': 6.0, 'max': 6.5, 'count': 0, 'percent': 0.0}, + {'min': 6.5, 'max': 7.0, 'count': 0, 'percent': 0.0}, + {'min': 7.0, 'max': 7.5, 'count': 0, 'percent': 0.0}, + {'min': 7.5, 'max': 8.0, 'count': 0, 'percent': 0.0}, + {'min': 8.0, 'max': 8.5, 'count': 0, 'percent': 0.0}, + {'min': 8.5, 'max': 9.0, 'count': 1, 'percent': 1/3}, + ], + 'pixel distribution': { + 'label_0': [0, 0.0], + 'label_1': [0, 0.0], + 'label_2': [4, 4/17], + 'label_3': [13, 13/17], + }, + } + }, + } + + actual = compute_ann_statistics(dataset) + + self.assertEqual(expected, actual) + +class TestMultimerge(TestCase): + def test_can_match_items(self): + # items 1 and 3 are unique, item 2 is common and should be merged + + source0 = Dataset.from_iterable([ + DatasetItem(1, annotations=[ Label(0), ]), + DatasetItem(2, annotations=[ Label(0), ]), + ], categories=['a', 'b']) + + source1 = Dataset.from_iterable([ + DatasetItem(2, annotations=[ Label(1), ]), + DatasetItem(3, annotations=[ Label(0), ]), + ], categories=['a', 'b']) + + source2 = Dataset.from_iterable([ + DatasetItem(2, annotations=[ Label(0), Bbox(1, 2, 3, 4) ]), + ], categories=['a', 'b']) + + expected = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + Label(0, attributes={'score': 1/3}), + ]), + DatasetItem(2, annotations=[ + Label(0, attributes={'score': 2/3}), + Label(1, attributes={'score': 1/3}), + Bbox(1, 2, 3, 4, attributes={'score': 1.0}), + ]), + DatasetItem(3, annotations=[ + Label(0, attributes={'score': 1/3}), + ]), + ], categories=['a', 'b']) + + merger = IntersectMerge() + merged = merger([source0, source1, source2]) + + compare_datasets(self, expected, merged) + self.assertEqual( + [ + NoMatchingItemError(item_id=('1', ''), sources={1, 2}), + NoMatchingItemError(item_id=('3', ''), sources={0, 2}), + ], + sorted((e for e in merger.errors + if isinstance(e, NoMatchingItemError)), + key=lambda e: e.item_id) + ) + self.assertEqual( + [ + NoMatchingAnnError(item_id=('2', ''), sources={0, 1}, + ann=source2.get('2').annotations[1]), + ], + sorted((e for e in merger.errors + if isinstance(e, NoMatchingAnnError)), + key=lambda e: e.item_id) + ) + + def test_can_match_shapes(self): + source0 = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + # unique + Bbox(1, 2, 3, 4, label=1), + + # common + Mask(label=3, z_order=2, image=np.array([ + [0, 0, 0, 0], + [0, 0, 0, 0], + [1, 1, 1, 0], + [1, 1, 1, 0], + ])), + Polygon([1, 0, 3, 2, 1, 2]), + + # an instance with keypoints + Bbox(4, 5, 2, 4, label=2, z_order=1, group=1), + Points([5, 6], label=0, group=1), + Points([6, 8], label=1, group=1), + + PolyLine([1, 1, 2, 1, 3, 1]), + ]), + ], categories=['a', 'b', 'c']) + + source1 = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + # common + Mask(label=3, image=np.array([ + [0, 0, 0, 0], + [0, 1, 1, 1], + [0, 1, 1, 1], + [0, 1, 1, 1], + ])), + Polygon([0, 2, 2, 0, 2, 1]), + + # an instance with keypoints + Bbox(4, 4, 2, 5, label=2, z_order=1, group=2), + Points([5.5, 6.5], label=0, group=2), + Points([6, 8], label=1, group=2), + + PolyLine([1, 1.5, 2, 1.5]), + ]), + ], categories=['a', 'b', 'c']) + + source2 = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + # common + Mask(label=3, z_order=3, image=np.array([ + [0, 0, 1, 1], + [0, 1, 1, 1], + [1, 1, 1, 1], + [1, 1, 1, 0], + ])), + Polygon([3, 1, 2, 2, 0, 1]), + + # an instance with keypoints, one is missing + Bbox(3, 6, 2, 3, label=2, z_order=4, group=3), + Points([4.5, 5.5], label=0, group=3), + + PolyLine([1, 1.25, 3, 1, 4, 2]), + ]), + ], categories=['a', 'b', 'c']) + + expected = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + # unique + Bbox(1, 2, 3, 4, label=1), + + # common + # nearest to mean bbox + Mask(label=3, z_order=3, image=np.array([ + [0, 0, 0, 0], + [0, 1, 1, 1], + [0, 1, 1, 1], + [0, 1, 1, 1], + ])), + Polygon([1, 0, 3, 2, 1, 2]), + + # an instance with keypoints + Bbox(4, 5, 2, 4, label=2, z_order=4, group=1), + Points([5, 6], label=0, group=1), + Points([6, 8], label=1, group=1), + + PolyLine([1, 1.25, 3, 1, 4, 2]), + ]), + ], categories=['a', 'b', 'c']) + + merger = IntersectMerge(conf={'quorum': 1, 'pairwise_dist': 0.1}) + merged = merger([source0, source1, source2]) + + compare_datasets(self, expected, merged, ignored_attrs={'score'}) + self.assertEqual( + [ + NoMatchingAnnError(item_id=('1', ''), sources={2}, + ann=source0.get('1').annotations[5]), + NoMatchingAnnError(item_id=('1', ''), sources={1, 2}, + ann=source0.get('1').annotations[0]), + ], + sorted((e for e in merger.errors + if isinstance(e, NoMatchingAnnError)), + key=lambda e: len(e.sources)) + ) + + def test_attributes(self): + source0 = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + Label(2, attributes={ + 'unique': 1, + 'common_under_quorum': 2, + 'common_over_quorum': 3, + 'ignored': 'q', + }), + ]), + ], categories=['a', 'b', 'c']) + + source1 = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + Label(2, attributes={ + 'common_under_quorum': 2, + 'common_over_quorum': 3, + 'ignored': 'q', + }), + ]), + ], categories=['a', 'b', 'c']) + + source2 = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + Label(2, attributes={ + 'common_over_quorum': 3, + 'ignored': 'q', + }), + ]), + ], categories=['a', 'b', 'c']) + + expected = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + Label(2, attributes={ 'common_over_quorum': 3 }), + ]), + ], categories=['a', 'b', 'c']) + + merger = IntersectMerge(conf={ + 'quorum': 3, 'ignored_attributes': {'ignored'}}) + merged = merger([source0, source1, source2]) + + compare_datasets(self, expected, merged, ignored_attrs={'score'}) + self.assertEqual(2, len([e for e in merger.errors + if isinstance(e, FailedAttrVotingError)]) + ) + + def test_group_checks(self): + dataset = Dataset.from_iterable([ + DatasetItem(1, annotations=[ + Bbox(0, 0, 0, 0, label=0, group=1), # misses an optional label + Bbox(0, 0, 0, 0, label=1, group=1), + + Bbox(0, 0, 0, 0, label=2, group=2), # misses a mandatory label - error + Bbox(0, 0, 0, 0, label=2, group=2), + + Bbox(0, 0, 0, 0, label=4), # misses an optional label + Bbox(0, 0, 0, 0, label=5), # misses a mandatory label - error + Bbox(0, 0, 0, 0, label=0), # misses a mandatory label - error + + Bbox(0, 0, 0, 0, label=3), # not listed - not checked + ]), + ], categories=['a', 'a_g1', 'a_g2_opt', 'b', 'c', 'c_g1_opt']) + + merger = IntersectMerge(conf={'groups': [ + ['a', 'a_g1', 'a_g2_opt?'], ['c', 'c_g1_opt?'] + ]}) + merger([dataset, dataset]) + + self.assertEqual(3, len([e for e in merger.errors + if isinstance(e, WrongGroupError)]), merger.errors + ) diff --git a/datumaro/tests/test_project.py b/datumaro/tests/test_project.py index 023341c6..ed4ad976 100644 --- a/datumaro/tests/test_project.py +++ b/datumaro/tests/test_project.py @@ -133,15 +133,15 @@ class ProjectTest(TestCase): self.assertTrue('project1' in dataset.sources) def test_can_batch_launch_custom_model(self): - class TestExtractor(Extractor): - def __iter__(self): - for i in range(5): - yield DatasetItem(id=i, subset='train', image=np.array([i])) + dataset = Dataset.from_iterable([ + DatasetItem(id=i, subset='train', image=np.array([i])) + for i in range(5) + ], categories=['label']) class TestLauncher(Launcher): def launch(self, inputs): for i, inp in enumerate(inputs): - yield [ Label(attributes={'idx': i, 'data': inp.item()}) ] + yield [ Label(0, attributes={'idx': i, 'data': inp.item()}) ] model_name = 'model' launcher_name = 'custom_launcher' @@ -150,10 +150,9 @@ class ProjectTest(TestCase): project.env.launchers.register(launcher_name, TestLauncher) project.add_model(model_name, { 'launcher': launcher_name }) model = project.make_executable_model(model_name) - extractor = TestExtractor() batch_size = 3 - executor = ModelTransform(extractor, model, batch_size=batch_size) + executor = ModelTransform(dataset, model, batch_size=batch_size) for item in executor: self.assertEqual(1, len(item.annotations)) diff --git a/datumaro/tests/test_transforms.py b/datumaro/tests/test_transforms.py index a55a446e..ed072a67 100644 --- a/datumaro/tests/test_transforms.py +++ b/datumaro/tests/test_transforms.py @@ -356,86 +356,58 @@ class TransformsTest(TestCase): ]) def test_remap_labels(self): - class SrcExtractor(Extractor): - def __iter__(self): - return iter([ - DatasetItem(id=1, annotations=[ - # Should be remapped - Label(1), - Bbox(1, 2, 3, 4, label=2), - Mask(image=np.array([1]), label=3), - - # Should be kept - Polygon([1, 1, 2, 2, 3, 4], label=4), - PolyLine([1, 3, 4, 2, 5, 6], label=None) - ]), - ]) - - def categories(self): - label_cat = LabelCategories() - label_cat.add('label0') - label_cat.add('label1') - label_cat.add('label2') - label_cat.add('label3') - label_cat.add('label4') - - mask_cat = MaskCategories( - colormap=mask_tools.generate_colormap(5)) - - return { - AnnotationType.label: label_cat, - AnnotationType.mask: mask_cat, - } - - class DstExtractor(Extractor): - def __iter__(self): - return iter([ - DatasetItem(id=1, annotations=[ - Label(1), - Bbox(1, 2, 3, 4, label=0), - Mask(image=np.array([1]), label=1), - - Polygon([1, 1, 2, 2, 3, 4], label=2), - PolyLine([1, 3, 4, 2, 5, 6], label=None) - ]), - ]) - - def categories(self): - label_cat = LabelCategories() - label_cat.add('label0') - label_cat.add('label9') - label_cat.add('label4') + src_dataset = Dataset.from_iterable([ + DatasetItem(id=1, annotations=[ + # Should be remapped + Label(1), + Bbox(1, 2, 3, 4, label=2), + Mask(image=np.array([1]), label=3), + + # Should be kept + Polygon([1, 1, 2, 2, 3, 4], label=4), + PolyLine([1, 3, 4, 2, 5, 6]) + ]) + ], categories={ + AnnotationType.label: LabelCategories.from_iterable( + 'label%s' % i for i in range(5)), + AnnotationType.mask: MaskCategories( + colormap=mask_tools.generate_colormap(5)), + }) - mask_cat = MaskCategories(colormap={ - k: v for k, v in mask_tools.generate_colormap(5).items() - if k in { 0, 1, 3, 4 } - }) + dst_dataset = Dataset.from_iterable([ + DatasetItem(id=1, annotations=[ + Label(1), + Bbox(1, 2, 3, 4, label=0), + Mask(image=np.array([1]), label=1), - return { - AnnotationType.label: label_cat, - AnnotationType.mask: mask_cat, - } + Polygon([1, 1, 2, 2, 3, 4], label=2), + PolyLine([1, 3, 4, 2, 5, 6], label=None) + ]), + ], categories={ + AnnotationType.label: LabelCategories.from_iterable( + ['label0', 'label9', 'label4']), + AnnotationType.mask: MaskCategories(colormap={ + k: v for k, v in mask_tools.generate_colormap(5).items() + if k in { 0, 1, 3, 4 } + }) + }) - actual = transforms.RemapLabels(SrcExtractor(), mapping={ + actual = transforms.RemapLabels(src_dataset, mapping={ 'label1': 'label9', 'label2': 'label0', 'label3': 'label9', }, default='keep') - compare_datasets(self, DstExtractor(), actual) + compare_datasets(self, dst_dataset, actual) def test_remap_labels_delete_unspecified(self): source_dataset = Dataset.from_iterable([ DatasetItem(id=1, annotations=[ Label(0) ]) - ], categories={ - AnnotationType.label: LabelCategories.from_iterable('label0'), - }) + ], categories=['label0']) target_dataset = Dataset.from_iterable([ - DatasetItem(id=1, annotations=[]), - ], categories={ - AnnotationType.label: LabelCategories(), - }) + DatasetItem(id=1), + ], categories=[]) actual = transforms.RemapLabels(source_dataset, mapping={}, default='delete') diff --git a/docker-compose.ci.yml b/docker-compose.ci.yml index ac3a7c54..76f0804a 100644 --- a/docker-compose.ci.yml +++ b/docker-compose.ci.yml @@ -9,6 +9,8 @@ services: dockerfile: Dockerfile.ci depends_on: - cvat + - cvat_ui + - cvat_proxy environment: COVERALLS_REPO_TOKEN: TRAVIS: diff --git a/docker-compose.yml b/docker-compose.yml index 0b8aebfb..6745493f 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -32,7 +32,7 @@ services: cvat: container_name: cvat - image: cvat + image: cvat/server restart: always depends_on: - cvat_redis @@ -42,14 +42,11 @@ services: args: http_proxy: https_proxy: - no_proxy: + no_proxy: nuclio,${no_proxy} socks_proxy: - TF_ANNOTATION: "no" - AUTO_SEGMENTATION: "no" USER: "django" DJANGO_CONFIGURATION: "production" TZ: "Etc/UTC" - OPENVINO_TOOLKIT: "no" CLAM_AV: "no" environment: DJANGO_MODWSGI_EXTRA_ARGS: "" @@ -64,6 +61,7 @@ services: cvat_ui: container_name: cvat_ui + image: cvat/ui restart: always build: context: . @@ -97,6 +95,32 @@ services: - ./cvat_proxy/conf.d/cvat.conf.template:/etc/nginx/conf.d/cvat.conf.template:ro command: /bin/sh -c "envsubst '$$CVAT_HOST' < /etc/nginx/conf.d/cvat.conf.template > /etc/nginx/conf.d/default.conf && nginx -g 'daemon off;'" + serverless: + container_name: nuclio + image: quay.io/nuclio/dashboard:1.4.8-amd64 + restart: always + networks: + default: + aliases: + - nuclio + volumes: + - /tmp:/tmp + - /var/run/docker.sock:/var/run/docker.sock + environment: + http_proxy: + https_proxy: + no_proxy: 172.28.0.1,${no_proxy} + NUCLIO_CHECK_FUNCTION_CONTAINERS_HEALTHINESS: "true" + ports: + - "8070:8070" + +networks: + default: + ipam: + config: + - subnet: 172.28.0.0/24 + gateway: 172.28.0.1 + volumes: cvat_db: cvat_data: diff --git a/serverless/deploy.sh b/serverless/deploy.sh new file mode 100755 index 00000000..9b150a02 --- /dev/null +++ b/serverless/deploy.sh @@ -0,0 +1,53 @@ +#!/bin/bash + +SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )" + +nuctl create project cvat +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio \ + --volume $SCRIPT_DIR/openvino/common:/opt/nuclio/common \ + --platform local + +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio \ + --volume $SCRIPT_DIR/openvino/common:/opt/nuclio/common \ + --platform local + +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/openvino/omz/public/yolo-v3-tf/nuclio \ + --volume $SCRIPT_DIR/openvino/common:/opt/nuclio/common \ + --platform local + +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/openvino/omz/intel/text-detection-0004/nuclio \ + --volume $SCRIPT_DIR/openvino/common:/opt/nuclio/common \ + --platform local + +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio \ + --volume $SCRIPT_DIR/openvino/common:/opt/nuclio/common \ + --platform local + +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/openvino/omz/intel/person-reidentification-retail-300/nuclio \ + --volume $SCRIPT_DIR/openvino/common:/opt/nuclio/common \ + --platform local + +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/openvino/dextr/nuclio \ + --volume $SCRIPT_DIR/openvino/common:/opt/nuclio/common \ + --platform local + +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/tensorflow/matterport/mask_rcnn/nuclio \ + --platform local + +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/tensorflow/faster_rcnn_inception_v2_coco/nuclio \ + --platform local + +nuctl deploy --project-name cvat \ + --path $SCRIPT_DIR/pytorch/foolwood/siammask/nuclio \ + --platform local + +nuctl get function diff --git a/serverless/openvino/common/model_loader.py b/serverless/openvino/common/model_loader.py new file mode 100644 index 00000000..ca3354d1 --- /dev/null +++ b/serverless/openvino/common/model_loader.py @@ -0,0 +1,72 @@ + +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import cv2 +import numpy as np +from openvino.inference_engine import IECore + +class ModelLoader: + def __init__(self, model, weights): + ie_core = IECore() + network = ie_core.read_network(model, weights) + self._network = network + + # Check compatibility + supported_layers = ie_core.query_network(network, "CPU") + not_supported_layers = [l for l in network.layers.keys() if l not in supported_layers] + if len(not_supported_layers) != 0: + raise Exception( + "Following layers are not supported by the plugin for specified device {}:\n {}" + .format(ie_core.device, ", ".join(not_supported_layers))) + + # Initialize input blobs + self._input_info_name = None + for blob_name in network.inputs: + if len(network.inputs[blob_name].shape) == 4: + self._input_blob_name = blob_name + elif len(network.inputs[blob_name].shape) == 2: + self._input_info_name = blob_name + else: + raise RuntimeError( + "Unsupported {}D input layer '{}'. Only 2D and 4D input layers are supported" + .format(len(network.inputs[blob_name].shape), blob_name)) + + # Initialize output blob + self._output_blob_name = next(iter(network.outputs)) + + # Load network + self._net = ie_core.load_network(network, "CPU", num_requests=2) + input_type = network.inputs[self._input_blob_name] + self._input_layout = input_type if isinstance(input_type, list) else input_type.shape + + def infer(self, image, preprocessing=True): + image = np.array(image) + _, _, h, w = self._input_layout + if preprocessing: + image = image if image.shape[:-1] == (h, w) else cv2.resize(image, (w, h)) + if len(image.shape) < 3: # grayscale image + image = image[:, :, np.newaxis] + else: + if image.shape[2] == 4: # the image has alpha channel + image = image[:, :, :3] + + image = image.transpose((2, 0, 1)) # Change data layout from HWC to CHW + + inputs = {self._input_blob_name: image} + if self._input_info_name: + inputs[self._input_info_name] = [h, w, 1] + + results = self._net.infer(inputs) + if len(results) == 1: + return results[self._output_blob_name].copy() + else: + return results.copy() + + def input_size(self): + return self._input_layout[2:] + + @property + def layers(self): + return self._network.layers diff --git a/serverless/openvino/common/python3 b/serverless/openvino/common/python3 new file mode 100755 index 00000000..fca7518d --- /dev/null +++ b/serverless/openvino/common/python3 @@ -0,0 +1,7 @@ +#!/bin/bash + +args=$@ + +. /opt/intel/openvino/bin/setupvars.sh +PYTHONPATH=/opt/nuclio/common:$PYTHONPATH +/usr/bin/python3 $args diff --git a/serverless/openvino/dextr/nuclio/function.yaml b/serverless/openvino/dextr/nuclio/function.yaml new file mode 100644 index 00000000..14b6db3e --- /dev/null +++ b/serverless/openvino/dextr/nuclio/function.yaml @@ -0,0 +1,52 @@ +metadata: + name: openvino.dextr + namespace: cvat + annotations: + name: DEXTR + type: interactor + spec: + framework: openvino + +spec: + description: Deep Extreme Cut + runtime: "python:3.6" + handler: main:handler + eventTimeout: 30s + env: + - name: NUCLIO_PYTHON_EXE_PATH + value: /opt/nuclio/common/python3 + + build: + image: cvat/openvino.dextr + baseImage: openvino/ubuntu18_runtime:2020.2 + + directives: + preCopy: + - kind: USER + value: root + - kind: WORKDIR + value: /opt/nuclio + - kind: RUN + value: ln -s /usr/bin/pip3 /usr/bin/pip + + postCopy: + - kind: RUN + value: curl -O https://download.01.org/openvinotoolkit/models_contrib/cvat/dextr_model_v1.zip + - kind: RUN + value: unzip dextr_model_v1.zip + - kind: RUN + value: pip3 install Pillow + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/openvino/dextr/nuclio/main.py b/serverless/openvino/dextr/nuclio/main.py new file mode 100644 index 00000000..73617002 --- /dev/null +++ b/serverless/openvino/dextr/nuclio/main.py @@ -0,0 +1,26 @@ +import json +import base64 +from PIL import Image +import io +from model_handler import ModelHandler + +def init_context(context): + context.logger.info("Init context... 0%") + + model = ModelHandler() + setattr(context.user_data, 'model', model) + + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("call handler") + data = event.body + points = data["points"] + buf = io.BytesIO(base64.b64decode(data["image"].encode('utf-8'))) + image = Image.open(buf) + + polygon = context.user_data.model.handle(image, points) + return context.Response(body=json.dumps(polygon), + headers={}, + content_type='application/json', + status_code=200) diff --git a/serverless/openvino/dextr/nuclio/model_handler.py b/serverless/openvino/dextr/nuclio/model_handler.py new file mode 100644 index 00000000..9dc74116 --- /dev/null +++ b/serverless/openvino/dextr/nuclio/model_handler.py @@ -0,0 +1,84 @@ +# Copyright (C) 2018-2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import cv2 +import numpy as np +import os +from model_loader import ModelLoader + +class ModelHandler: + def __init__(self): + base_dir = os.environ.get("MODEL_PATH", "/opt/nuclio") + model_xml = os.path.join(base_dir, "dextr.xml") + model_bin = os.path.join(base_dir, "dextr.bin") + self.model = ModelLoader(model_xml, model_bin) + + # Input: + # image: PIL image + # points: [[x1,y1], [x2,y2], [x3,y3], [x4,y4], ...] + # Output: + # polygon: [[x1,y1], [x2,y2], [x3,y3], [x4,y4], ...] + def handle(self, image, points): + DEXTR_PADDING = 50 + DEXTR_TRESHOLD = 0.9 + DEXTR_SIZE = 512 + + numpy_image = np.array(image) + points = np.asarray(points, dtype=int) + bounding_box = ( + max(min(points[:, 0]) - DEXTR_PADDING, 0), + max(min(points[:, 1]) - DEXTR_PADDING, 0), + min(max(points[:, 0]) + DEXTR_PADDING, numpy_image.shape[1] - 1), + min(max(points[:, 1]) + DEXTR_PADDING, numpy_image.shape[0] - 1) + ) + + # Prepare an image + numpy_cropped = np.array(image.crop(bounding_box)) + resized = cv2.resize(numpy_cropped, (DEXTR_SIZE, DEXTR_SIZE), + interpolation = cv2.INTER_CUBIC).astype(np.float32) + if len(resized.shape) == 2: # support grayscale images + resized = cv2.cvtColor(resized, cv2.COLOR_GRAY2RGB) + elif resized.shape[2] == 4: # remove alpha channel + resized = resized[:, :, :3] + + # Make a heatmap + points = points - [min(points[:, 0]), min(points[:, 1])] + [DEXTR_PADDING, DEXTR_PADDING] + points = (points * [DEXTR_SIZE / numpy_cropped.shape[1], DEXTR_SIZE / numpy_cropped.shape[0]]).astype(int) + heatmap = np.zeros(shape=resized.shape[:2], dtype=np.float64) + for point in points: + gaussian_x_axis = np.arange(0, DEXTR_SIZE, 1, float) - point[0] + gaussian_y_axis = np.arange(0, DEXTR_SIZE, 1, float)[:, np.newaxis] - point[1] + gaussian = np.exp(-4 * np.log(2) * ((gaussian_x_axis ** 2 + gaussian_y_axis ** 2) / 100)).astype(np.float64) + heatmap = np.maximum(heatmap, gaussian) + cv2.normalize(heatmap, heatmap, 0, 255, cv2.NORM_MINMAX) + + # Concat an image and a heatmap + input_dextr = np.concatenate((resized, heatmap[:, :, np.newaxis].astype(resized.dtype)), axis=2) + input_dextr = input_dextr.transpose((2,0,1)) + + pred = self.model.infer(input_dextr[np.newaxis, ...], False)[0, 0, :, :] + pred = cv2.resize(pred, tuple(reversed(numpy_cropped.shape[:2])), interpolation = cv2.INTER_CUBIC) + result = np.zeros(numpy_image.shape[:2]) + result[bounding_box[1]:bounding_box[1] + pred.shape[0], bounding_box[0]:bounding_box[0] + pred.shape[1]] = pred > DEXTR_TRESHOLD + + # Convert a mask to a polygon + result = np.array(result, dtype=np.uint8) + cv2.normalize(result,result,0,255,cv2.NORM_MINMAX) + contours = None + if int(cv2.__version__.split('.')[0]) > 3: + contours = cv2.findContours(result, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_KCOS)[0] + else: + contours = cv2.findContours(result, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_TC89_KCOS)[1] + + contours = max(contours, key=lambda arr: arr.size) + if contours.shape.count(1): + contours = np.squeeze(contours) + if contours.size < 3 * 2: + raise Exception('Less then three point have been detected. Can not build a polygon.') + + result = [] + for point in contours: + result.append([int(point[0]), int(point[1])]) + + return result diff --git a/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio/function.yaml b/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio/function.yaml new file mode 100644 index 00000000..f4a5d2fb --- /dev/null +++ b/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio/function.yaml @@ -0,0 +1,48 @@ +metadata: + name: openvino.omz.intel.person-reidentification-retail-0300 + namespace: cvat + annotations: + name: Person reidentification + type: reid + framework: openvino + spec: + +spec: + description: Person reidentification model for a general scenario + runtime: "python:3.6" + handler: main:handler + eventTimeout: 30s + env: + - name: NUCLIO_PYTHON_EXE_PATH + value: /opt/nuclio/common/python3 + + build: + image: cvat/openvino.omz.intel.person-reidentification-retail-0300 + baseImage: openvino/ubuntu18_dev:2020.2 + + directives: + preCopy: + - kind: USER + value: root + - kind: WORKDIR + value: /opt/nuclio + - kind: RUN + value: ln -s /usr/bin/pip3 /usr/bin/pip + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name person-reidentification-retail-0300 -o /opt/nuclio/open_model_zoo + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/converter.py --name person-reidentification-retail-0300 --precisions FP32 -d /opt/nuclio/open_model_zoo -o /opt/nuclio/open_model_zoo + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio/main.py b/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio/main.py new file mode 100644 index 00000000..9197632a --- /dev/null +++ b/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio/main.py @@ -0,0 +1,31 @@ +import json +import base64 +from PIL import Image +import io +from model_handler import ModelHandler + +def init_context(context): + context.logger.info("Init context... 0%") + + model = ModelHandler() + setattr(context.user_data, 'model', model) + + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("Run person-reidentification-retail-0300 model") + data = event.body + buf0 = io.BytesIO(base64.b64decode(data["image0"].encode('utf-8'))) + buf1 = io.BytesIO(base64.b64decode(data["image1"].encode('utf-8'))) + threshold = float(data.get("threshold", 0.5)) + max_distance = float(data.get("max_distance", 50)) + image0 = Image.open(buf0) + image1 = Image.open(buf1) + boxes0 = data["boxes0"] + boxes1 = data["boxes1"] + + results = context.user_data.model.infer(image0, boxes0, + image1, boxes1, threshold, max_distance) + + return context.Response(body=json.dumps(results), headers={}, + content_type='application/json', status_code=200) diff --git a/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio/model_handler.py b/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio/model_handler.py new file mode 100644 index 00000000..481fa4c4 --- /dev/null +++ b/serverless/openvino/omz/intel/person-reidentification-retail-300/nuclio/model_handler.py @@ -0,0 +1,81 @@ +# Copyright (C) 2018 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import math +import numpy +import os +from scipy.optimize import linear_sum_assignment +from scipy.spatial.distance import euclidean, cosine + +from model_loader import ModelLoader + +class ModelHandler: + def __init__(self): + base_dir = os.environ.get("MODEL_PATH", + "/opt/nuclio/open_model_zoo/intel/person-reidentification-retail-0300/FP32") + model_xml = os.path.join(base_dir, "person-reidentification-retail-0300.xml") + model_bin = os.path.join(base_dir, "person-reidentification-retail-0300.bin") + + self.model = ModelLoader(model_xml, model_bin) + + def infer(self, image0, boxes0, image1, boxes1, threshold, distance): + similarity_matrix = self._compute_similarity_matrix(image0, + boxes0, image1, boxes1, distance) + row_idx, col_idx = linear_sum_assignment(similarity_matrix) + results = [-1] * len(boxes0) + for idx0, idx1 in zip(row_idx, col_idx): + if similarity_matrix[idx0, idx1] <= threshold: + results[idx0] = int(idx1) + + return results + + def _match_boxes(self, box0, box1, distance): + cx0 = (box0["points"][0] + box0["points"][2]) / 2 + cy0 = (box0["points"][1] + box0["points"][3]) / 2 + cx1 = (box1["points"][0] + box1["points"][2]) / 2 + cy1 = (box1["points"][1] + box1["points"][3]) / 2 + is_good_distance = euclidean([cx0, cy0], [cx1, cy1]) <= distance + is_same_label = box0["label_id"] == box1["label_id"] + + return is_good_distance and is_same_label + + def _match_crops(self, crop0, crop1): + embedding0 = self.model.infer(crop0) + embedding1 = self.model.infer(crop1) + + embedding0 = embedding0.reshape(embedding0.size) + embedding1 = embedding1.reshape(embedding1.size) + + return cosine(embedding0, embedding1) + + def _compute_similarity_matrix(self, image0, boxes0, image1, boxes1, + distance): + def _int(number, upper): + return math.floor(numpy.clip(number, 0, upper - 1)) + + DISTANCE_INF = 1000.0 + + matrix = numpy.full([len(boxes0), len(boxes1)], DISTANCE_INF, dtype=float) + for row, box0 in enumerate(boxes0): + w0, h0 = image0.size + xtl0, xbr0, ytl0, ybr0 = ( + _int(box0["points"][0], w0), _int(box0["points"][2], w0), + _int(box0["points"][1], h0), _int(box0["points"][3], h0) + ) + + for col, box1 in enumerate(boxes1): + w1, h1 = image1.size + xtl1, xbr1, ytl1, ybr1 = ( + _int(box1["points"][0], w1), _int(box1["points"][2], w1), + _int(box1["points"][1], h1), _int(box1["points"][3], h1) + ) + + if not self._match_boxes(box0, box1, distance): + continue + + crop0 = image0.crop((xtl0, ytl0, xbr0, ybr0)) + crop1 = image1.crop((xtl1, ytl1, xbr1, ybr1)) + matrix[row][col] = self._match_crops(crop0, crop1) + + return matrix diff --git a/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/function.yaml b/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/function.yaml new file mode 100644 index 00000000..03a1f3c1 --- /dev/null +++ b/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/function.yaml @@ -0,0 +1,76 @@ +metadata: + name: openvino.omz.semantic-segmentation-adas-0001 + namespace: cvat + annotations: + name: Semantic segmentation for ADAS + type: detector + framework: openvino + spec: | + [ + { "id": 0, "name": "road" }, + { "id": 1, "name": "sidewalk" }, + { "id": 2, "name": "building" }, + { "id": 3, "name": "wall" }, + { "id": 4, "name": "fence" }, + { "id": 5, "name": "pole" }, + { "id": 6, "name": "traffic light" }, + { "id": 7, "name": "traffic sign" }, + { "id": 8, "name": "vegetation" }, + { "id": 9, "name": "terrain" }, + { "id": 10, "name": "sky" }, + { "id": 11, "name": "person" }, + { "id": 12, "name": "rider" }, + { "id": 13, "name": "car" }, + { "id": 14, "name": "truck" }, + { "id": 15, "name": "bus" }, + { "id": 16, "name": "train" }, + { "id": 17, "name": "motorcycle" }, + { "id": 18, "name": "bicycle" }, + { "id": 19, "name": "ego-vehicle" }, + { "id": 20, "name": "background" } + ] + +spec: + description: Segmentation network to classify each pixel into typical 20 classes for ADAS + runtime: "python:3.6" + handler: main:handler + eventTimeout: 30s + env: + - name: NUCLIO_PYTHON_EXE_PATH + value: /opt/nuclio/common/python3 + + build: + image: cvat/openvino.omz.intel.semantic-segmentation-adas-0001 + baseImage: openvino/ubuntu18_dev:2020.2 + + directives: + preCopy: + - kind: USER + value: root + - kind: WORKDIR + value: /opt/nuclio + - kind: RUN + value: ln -s /usr/bin/pip3 /usr/bin/pip + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name semantic-segmentation-adas-0001 -o /opt/nuclio/open_model_zoo + + + postCopy: + - kind: RUN + value: apt update && DEBIAN_FRONTEND=noninteractive apt install --no-install-recommends -y python3-skimage + - kind: RUN + value: pip3 install "numpy<1.16.0" # workaround for skimage + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/main.py b/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/main.py new file mode 100644 index 00000000..9942bc02 --- /dev/null +++ b/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/main.py @@ -0,0 +1,32 @@ +import json +import base64 +from PIL import Image +import io +from model_handler import ModelHandler +import yaml + +def init_context(context): + context.logger.info("Init context... 0%") + + # Read labels + functionconfig = yaml.safe_load(open("/opt/nuclio/function.yaml")) + labels_spec = functionconfig['metadata']['annotations']['spec'] + labels = {item['id']: item['name'] for item in json.loads(labels_spec)} + + # Read the DL model + model = ModelHandler(labels) + setattr(context.user_data, 'model', model) + + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("Run semantic-segmentation-adas-0001 model") + data = event.body + buf = io.BytesIO(base64.b64decode(data["image"].encode('utf-8'))) + threshold = float(data.get("threshold", 0.5)) + image = Image.open(buf) + + results = context.user_data.model.infer(image, threshold) + + return context.Response(body=json.dumps(results), headers={}, + content_type='application/json', status_code=200) diff --git a/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/model_handler.py b/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/model_handler.py new file mode 100644 index 00000000..5b4bb722 --- /dev/null +++ b/serverless/openvino/omz/intel/semantic-segmentation-adas-0001/nuclio/model_handler.py @@ -0,0 +1,50 @@ +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import os +import cv2 +import numpy as np +from skimage.measure import approximate_polygon, find_contours +from model_loader import ModelLoader + +class ModelHandler: + def __init__(self, labels): + base_dir = os.environ.get("MODEL_PATH", + "/opt/nuclio/open_model_zoo/intel/semantic-segmentation-adas-0001/FP32") + model_xml = os.path.join(base_dir, "semantic-segmentation-adas-0001.xml") + model_bin = os.path.join(base_dir, "semantic-segmentation-adas-0001.bin") + self.model = ModelLoader(model_xml, model_bin) + self.labels = labels + + def infer(self, image, threshold): + output_layer = self.model.infer(image) + + results = [] + mask = output_layer[0, 0, :, :] + width, height = mask.shape + + for i in range(len(self.labels)): + mask_by_label = np.zeros((width, height), dtype=np.uint8) + + mask_by_label = ((mask == float(i)) * 255).astype(np.float32) + mask_by_label = cv2.resize(mask_by_label, + dsize=(image.width, image.height), + interpolation=cv2.INTER_CUBIC) + + contours = find_contours(mask_by_label, 0.8) + + for contour in contours: + contour = np.flip(contour, axis=1) + contour = approximate_polygon(contour, tolerance=2.5) + if len(contour) < 3: + continue + + results.append({ + "confidence": None, + "label": self.labels.get(i, "unknown"), + "points": contour.ravel().tolist(), + "type": "polygon", + }) + + return results \ No newline at end of file diff --git a/serverless/openvino/omz/intel/text-detection-0004/nuclio/function.yaml b/serverless/openvino/omz/intel/text-detection-0004/nuclio/function.yaml new file mode 100644 index 00000000..66317007 --- /dev/null +++ b/serverless/openvino/omz/intel/text-detection-0004/nuclio/function.yaml @@ -0,0 +1,49 @@ +metadata: + name: openvino.omz.intel.text-detection-0004 + namespace: cvat + annotations: + name: Text detection v4 + type: detector + framework: openvino + spec: | + [ + { "id": 1, "name": "text" } + ] + +spec: + description: Text detector based on PixelLink architecture with MobileNetV2-like as a backbone for indoor/outdoor scenes. + runtime: "python:3.6" + handler: main:handler + eventTimeout: 30s + env: + - name: NUCLIO_PYTHON_EXE_PATH + value: /opt/nuclio/common/python3 + + build: + image: cvat/openvino.omz.intel.text-detection-0004 + baseImage: openvino/ubuntu18_dev:2020.2 + + directives: + preCopy: + - kind: USER + value: root + - kind: WORKDIR + value: /opt/nuclio + - kind: RUN + value: ln -s /usr/bin/pip3 /usr/bin/pip + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name text-detection-0004 -o /opt/nuclio/open_model_zoo + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/openvino/omz/intel/text-detection-0004/nuclio/main.py b/serverless/openvino/omz/intel/text-detection-0004/nuclio/main.py new file mode 100644 index 00000000..ab54e76c --- /dev/null +++ b/serverless/openvino/omz/intel/text-detection-0004/nuclio/main.py @@ -0,0 +1,34 @@ +import json +import base64 +from PIL import Image +import io +from model_handler import ModelHandler +import yaml + +def init_context(context): + context.logger.info("Init context... 0%") + + # Read labels + functionconfig = yaml.safe_load(open("/opt/nuclio/function.yaml")) + labels_spec = functionconfig['metadata']['annotations']['spec'] + labels = {item['id']: item['name'] for item in json.loads(labels_spec)} + + # Read the DL model + model = ModelHandler(labels) + setattr(context.user_data, 'model', model) + + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("Run text-detection-0004 model") + data = event.body + buf = io.BytesIO(base64.b64decode(data["image"].encode('utf-8'))) + pixel_threshold = float(data.get("pixel_threshold", 0.8)) + link_threshold = float(data.get("link_threshold", 0.8)) + image = Image.open(buf) + + results = context.user_data.model.infer(image, + pixel_threshold, link_threshold) + + return context.Response(body=json.dumps(results), headers={}, + content_type='application/json', status_code=200) diff --git a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0004/pixel_link_mobilenet_v2.py b/serverless/openvino/omz/intel/text-detection-0004/nuclio/model_handler.py similarity index 83% rename from utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0004/pixel_link_mobilenet_v2.py rename to serverless/openvino/omz/intel/text-detection-0004/nuclio/model_handler.py index b0f105ec..6ea78c1e 100644 --- a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0004/pixel_link_mobilenet_v2.py +++ b/serverless/openvino/omz/intel/text-detection-0004/nuclio/model_handler.py @@ -1,18 +1,21 @@ -# SPDX-License-Identifier: MIT` +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT +import os import cv2 import numpy as np - +from model_loader import ModelLoader class PixelLinkDecoder(): - def __init__(self): + def __init__(self, pixel_threshold, link_threshold): four_neighbours = False if four_neighbours: self._get_neighbours = self._get_neighbours_4 else: self._get_neighbours = self._get_neighbours_8 - self.pixel_conf_threshold = 0.8 - self.link_conf_threshold = 0.8 + self.pixel_conf_threshold = pixel_threshold + self.link_conf_threshold = link_threshold def decode(self, height, width, detections: dict): self.image_height = height @@ -186,12 +189,29 @@ class PixelLinkDecoder(): self._get_all() self._mask_to_bboxes() - -label = 1 -pcd = PixelLinkDecoder() -for detection in detections: - frame = detection['frame_id'] - pcd.decode(detection['frame_height'], detection['frame_width'], detection['detections']) - for box in pcd.bboxes: - box = [[int(b[0]), int(b[1])] for b in box] - results.add_polygon(box, label, frame) +class ModelHandler: + def __init__(self, labels): + base_dir = os.environ.get("MODEL_PATH", + "/opt/nuclio/open_model_zoo/intel/text-detection-0004/FP32") + model_xml = os.path.join(base_dir, "text-detection-0004.xml") + model_bin = os.path.join(base_dir, "text-detection-0004.bin") + self.model = ModelLoader(model_xml, model_bin) + self.labels = labels + + def infer(self, image, pixel_threshold, link_threshold): + output_layer = self.model.infer(image) + + results = [] + obj_class = 1 + pcd = PixelLinkDecoder(pixel_threshold, link_threshold) + + pcd.decode(image.height, image.width, output_layer) + for box in pcd.bboxes: + results.append({ + "confidence": None, + "label": self.labels.get(obj_class, "unknown"), + "points": box.ravel().tolist(), + "type": "polygon", + }) + + return results \ No newline at end of file diff --git a/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/function.yaml b/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/function.yaml new file mode 100644 index 00000000..9cb8b6bf --- /dev/null +++ b/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/function.yaml @@ -0,0 +1,130 @@ +metadata: + name: openvino.omz.public.faster_rcnn_inception_v2_coco + namespace: cvat + annotations: + name: Faster RCNN + type: detector + framework: openvino + spec: | + [ + { "id": 1, "name": "person" }, + { "id": 2, "name": "bicycle" }, + { "id": 3, "name": "car" }, + { "id": 4, "name": "motorcycle" }, + { "id": 5, "name": "airplane" }, + { "id": 6, "name": "bus" }, + { "id": 7, "name": "train" }, + { "id": 8, "name": "truck" }, + { "id": 9, "name": "boat" }, + { "id":10, "name": "traffic_light" }, + { "id":11, "name": "fire_hydrant" }, + { "id":13, "name": "stop_sign" }, + { "id":14, "name": "parking_meter" }, + { "id":15, "name": "bench" }, + { "id":16, "name": "bird" }, + { "id":17, "name": "cat" }, + { "id":18, "name": "dog" }, + { "id":19, "name": "horse" }, + { "id":20, "name": "sheep" }, + { "id":21, "name": "cow" }, + { "id":22, "name": "elephant" }, + { "id":23, "name": "bear" }, + { "id":24, "name": "zebra" }, + { "id":25, "name": "giraffe" }, + { "id":27, "name": "backpack" }, + { "id":28, "name": "umbrella" }, + { "id":31, "name": "handbag" }, + { "id":32, "name": "tie" }, + { "id":33, "name": "suitcase" }, + { "id":34, "name": "frisbee" }, + { "id":35, "name": "skis" }, + { "id":36, "name": "snowboard" }, + { "id":37, "name": "sports_ball" }, + { "id":38, "name": "kite" }, + { "id":39, "name": "baseball_bat" }, + { "id":40, "name": "baseball_glove" }, + { "id":41, "name": "skateboard" }, + { "id":42, "name": "surfboard" }, + { "id":43, "name": "tennis_racket" }, + { "id":44, "name": "bottle" }, + { "id":46, "name": "wine_glass" }, + { "id":47, "name": "cup" }, + { "id":48, "name": "fork" }, + { "id":49, "name": "knife" }, + { "id":50, "name": "spoon" }, + { "id":51, "name": "bowl" }, + { "id":52, "name": "banana" }, + { "id":53, "name": "apple" }, + { "id":54, "name": "sandwich" }, + { "id":55, "name": "orange" }, + { "id":56, "name": "broccoli" }, + { "id":57, "name": "carrot" }, + { "id":58, "name": "hot_dog" }, + { "id":59, "name": "pizza" }, + { "id":60, "name": "donut" }, + { "id":61, "name": "cake" }, + { "id":62, "name": "chair" }, + { "id":63, "name": "couch" }, + { "id":64, "name": "potted_plant" }, + { "id":65, "name": "bed" }, + { "id":67, "name": "dining_table" }, + { "id":70, "name": "toilet" }, + { "id":72, "name": "tv" }, + { "id":73, "name": "laptop" }, + { "id":74, "name": "mouse" }, + { "id":75, "name": "remote" }, + { "id":76, "name": "keyboard" }, + { "id":77, "name": "cell_phone" }, + { "id":78, "name": "microwave" }, + { "id":79, "name": "oven" }, + { "id":80, "name": "toaster" }, + { "id":81, "name": "sink" }, + { "id":83, "name": "refrigerator" }, + { "id":84, "name": "book" }, + { "id":85, "name": "clock" }, + { "id":86, "name": "vase" }, + { "id":87, "name": "scissors" }, + { "id":88, "name": "teddy_bear" }, + { "id":89, "name": "hair_drier" }, + { "id":90, "name": "toothbrush" } + ] + +spec: + description: Faster RCNN inception v2 COCO via Intel OpenVINO toolkit + runtime: "python:3.6" + handler: main:handler + eventTimeout: 30s + env: + - name: NUCLIO_PYTHON_EXE_PATH + value: /opt/nuclio/common/python3 + + build: + image: cvat/openvino.omz.public.faster_rcnn_inception_v2_coco + baseImage: openvino/ubuntu18_dev:2020.2 + + directives: + preCopy: + - kind: USER + value: root + - kind: WORKDIR + value: /opt/nuclio + - kind: RUN + value: ln -s /usr/bin/pip3 /usr/bin/pip + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name faster_rcnn_inception_v2_coco -o /opt/nuclio/open_model_zoo + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/converter.py --name faster_rcnn_inception_v2_coco --precisions FP32 -d /opt/nuclio/open_model_zoo -o /opt/nuclio/open_model_zoo + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/main.py b/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/main.py new file mode 100644 index 00000000..6ae5c801 --- /dev/null +++ b/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/main.py @@ -0,0 +1,32 @@ +import json +import base64 +from PIL import Image +import io +from model_handler import ModelHandler +import yaml + +def init_context(context): + context.logger.info("Init context... 0%") + + # Read labels + functionconfig = yaml.safe_load(open("/opt/nuclio/function.yaml")) + labels_spec = functionconfig['metadata']['annotations']['spec'] + labels = {item['id']: item['name'] for item in json.loads(labels_spec)} + + # Read the DL model + model = ModelHandler(labels) + setattr(context.user_data, 'model', model) + + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("Run faster_rcnn_inception_v2_coco model") + data = event.body + buf = io.BytesIO(base64.b64decode(data["image"].encode('utf-8'))) + threshold = float(data.get("threshold", 0.5)) + image = Image.open(buf) + + results = context.user_data.model.infer(image, threshold) + + return context.Response(body=json.dumps(results), headers={}, + content_type='application/json', status_code=200) diff --git a/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/model_handler.py b/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/model_handler.py new file mode 100644 index 00000000..60838779 --- /dev/null +++ b/serverless/openvino/omz/public/faster_rcnn_inception_v2_coco/nuclio/model_handler.py @@ -0,0 +1,39 @@ +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import os +from model_loader import ModelLoader + +class ModelHandler: + def __init__(self, labels): + base_dir = os.environ.get("MODEL_PATH", + "/opt/nuclio/open_model_zoo/public/faster_rcnn_inception_v2_coco/FP32") + model_xml = os.path.join(base_dir, "faster_rcnn_inception_v2_coco.xml") + model_bin = os.path.join(base_dir, "faster_rcnn_inception_v2_coco.bin") + self.model = ModelLoader(model_xml, model_bin) + self.labels = labels + + def infer(self, image, threshold): + output_layer = self.model.infer(image) + + results = [] + prediction = output_layer[0][0] + for obj in prediction: + obj_class = int(obj[1]) + obj_value = obj[2] + obj_label = self.labels.get(obj_class, "unknown") + if obj_value >= threshold: + xtl = obj[3] * image.width + ytl = obj[4] * image.height + xbr = obj[5] * image.width + ybr = obj[6] * image.height + + results.append({ + "confidence": str(obj_value), + "label": obj_label, + "points": [xtl, ytl, xbr, ybr], + "type": "rectangle", + }) + + return results \ No newline at end of file diff --git a/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/function.yaml b/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/function.yaml new file mode 100644 index 00000000..f08ef796 --- /dev/null +++ b/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/function.yaml @@ -0,0 +1,139 @@ +# To build the function you need to adjust docker settings. Be sure that you +# have enough memory (more than 4GB). Look here how to do that +# https://stackoverflow.com/questions/44417159/docker-process-killed-with-cryptic-killed-message +metadata: + name: openvino.omz.public.mask_rcnn_inception_resnet_v2_atrous_coco + namespace: cvat + annotations: + name: Mask RCNN + type: detector + framework: openvino + spec: | + [ + { "id": 1, "name": "person" }, + { "id": 2, "name": "bicycle" }, + { "id": 3, "name": "car" }, + { "id": 4, "name": "motorcycle" }, + { "id": 5, "name": "airplane" }, + { "id": 6, "name": "bus" }, + { "id": 7, "name": "train" }, + { "id": 8, "name": "truck" }, + { "id": 9, "name": "boat" }, + { "id":10, "name": "traffic_light" }, + { "id":11, "name": "fire_hydrant" }, + { "id":13, "name": "stop_sign" }, + { "id":14, "name": "parking_meter" }, + { "id":15, "name": "bench" }, + { "id":16, "name": "bird" }, + { "id":17, "name": "cat" }, + { "id":18, "name": "dog" }, + { "id":19, "name": "horse" }, + { "id":20, "name": "sheep" }, + { "id":21, "name": "cow" }, + { "id":22, "name": "elephant" }, + { "id":23, "name": "bear" }, + { "id":24, "name": "zebra" }, + { "id":25, "name": "giraffe" }, + { "id":27, "name": "backpack" }, + { "id":28, "name": "umbrella" }, + { "id":31, "name": "handbag" }, + { "id":32, "name": "tie" }, + { "id":33, "name": "suitcase" }, + { "id":34, "name": "frisbee" }, + { "id":35, "name": "skis" }, + { "id":36, "name": "snowboard" }, + { "id":37, "name": "sports_ball" }, + { "id":38, "name": "kite" }, + { "id":39, "name": "baseball_bat" }, + { "id":40, "name": "baseball_glove" }, + { "id":41, "name": "skateboard" }, + { "id":42, "name": "surfboard" }, + { "id":43, "name": "tennis_racket" }, + { "id":44, "name": "bottle" }, + { "id":46, "name": "wine_glass" }, + { "id":47, "name": "cup" }, + { "id":48, "name": "fork" }, + { "id":49, "name": "knife" }, + { "id":50, "name": "spoon" }, + { "id":51, "name": "bowl" }, + { "id":52, "name": "banana" }, + { "id":53, "name": "apple" }, + { "id":54, "name": "sandwich" }, + { "id":55, "name": "orange" }, + { "id":56, "name": "broccoli" }, + { "id":57, "name": "carrot" }, + { "id":58, "name": "hot_dog" }, + { "id":59, "name": "pizza" }, + { "id":60, "name": "donut" }, + { "id":61, "name": "cake" }, + { "id":62, "name": "chair" }, + { "id":63, "name": "couch" }, + { "id":64, "name": "potted_plant" }, + { "id":65, "name": "bed" }, + { "id":67, "name": "dining_table" }, + { "id":70, "name": "toilet" }, + { "id":72, "name": "tv" }, + { "id":73, "name": "laptop" }, + { "id":74, "name": "mouse" }, + { "id":75, "name": "remote" }, + { "id":76, "name": "keyboard" }, + { "id":77, "name": "cell_phone" }, + { "id":78, "name": "microwave" }, + { "id":79, "name": "oven" }, + { "id":80, "name": "toaster" }, + { "id":81, "name": "sink" }, + { "id":83, "name": "refrigerator" }, + { "id":84, "name": "book" }, + { "id":85, "name": "clock" }, + { "id":86, "name": "vase" }, + { "id":87, "name": "scissors" }, + { "id":88, "name": "teddy_bear" }, + { "id":89, "name": "hair_drier" }, + { "id":90, "name": "toothbrush" } + ] + +spec: + description: Mask RCNN inception resnet v2 COCO via Intel OpenVINO + runtime: "python:3.6" + handler: main:handler + eventTimeout: 60s + env: + - name: NUCLIO_PYTHON_EXE_PATH + value: /opt/nuclio/common/python3 + + build: + image: cvat/openvino.omz.public.mask_rcnn_inception_resnet_v2_atrous_coco + baseImage: openvino/ubuntu18_dev:2020.2 + + directives: + preCopy: + - kind: USER + value: root + - kind: WORKDIR + value: /opt/nuclio + - kind: RUN + value: ln -s /usr/bin/pip3 /usr/bin/pip + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name mask_rcnn_inception_resnet_v2_atrous_coco -o /opt/nuclio/open_model_zoo + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/converter.py --name mask_rcnn_inception_resnet_v2_atrous_coco --precisions FP32 -d /opt/nuclio/open_model_zoo -o /opt/nuclio/open_model_zoo + + postCopy: + - kind: RUN + value: apt update && DEBIAN_FRONTEND=noninteractive apt install --no-install-recommends -y python3-skimage + - kind: RUN + value: pip3 install "numpy<1.16.0" # workaround for skimage + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/main.py b/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/main.py new file mode 100644 index 00000000..8fc7d285 --- /dev/null +++ b/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/main.py @@ -0,0 +1,32 @@ +import json +import base64 +from PIL import Image +import io +from model_handler import ModelHandler +import yaml + +def init_context(context): + context.logger.info("Init context... 0%") + + # Read labels + functionconfig = yaml.safe_load(open("/opt/nuclio/function.yaml")) + labels_spec = functionconfig['metadata']['annotations']['spec'] + labels = {item['id']: item['name'] for item in json.loads(labels_spec)} + + # Read the DL model + model = ModelHandler(labels) + setattr(context.user_data, 'model', model) + + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("Run mask_rcnn_inception_resnet_v2_atrous_coco model") + data = event.body + buf = io.BytesIO(base64.b64decode(data["image"].encode('utf-8'))) + threshold = float(data.get("threshold", 0.2)) + image = Image.open(buf) + + results = context.user_data.model.infer(image, threshold) + + return context.Response(body=json.dumps(results), headers={}, + content_type='application/json', status_code=200) diff --git a/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/model_handler.py b/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/model_handler.py new file mode 100644 index 00000000..a508aaa4 --- /dev/null +++ b/serverless/openvino/omz/public/mask_rcnn_inception_resnet_v2_atrous_coco/nuclio/model_handler.py @@ -0,0 +1,77 @@ +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import os +import cv2 +import numpy as np +from model_loader import ModelLoader +from skimage.measure import approximate_polygon, find_contours + + +MASK_THRESHOLD = 0.5 + +# Ref: https://software.intel.com/en-us/forums/computer-vision/topic/804895 +def segm_postprocess(box: list, raw_cls_mask, im_h, im_w): + ymin, xmin, ymax, xmax = box + + width = int(abs(xmax - xmin)) + height = int(abs(ymax - ymin)) + + result = np.zeros((im_h, im_w), dtype=np.uint8) + resized_mask = cv2.resize(raw_cls_mask, dsize=(height, width), interpolation=cv2.INTER_CUBIC) + + # extract the ROI of the image + ymin = int(round(ymin)) + xmin = int(round(xmin)) + ymax = ymin + height + xmax = xmin + width + result[xmin:xmax, ymin:ymax] = (resized_mask>MASK_THRESHOLD).astype(np.uint8) * 255 + + return result + +class ModelHandler: + def __init__(self, labels): + base_dir = os.environ.get("MODEL_PATH", + "/opt/nuclio/open_model_zoo/public/mask_rcnn_inception_resnet_v2_atrous_coco/FP32") + model_xml = os.path.join(base_dir, "mask_rcnn_inception_resnet_v2_atrous_coco.xml") + model_bin = os.path.join(base_dir, "mask_rcnn_inception_resnet_v2_atrous_coco.bin") + self.model = ModelLoader(model_xml, model_bin) + self.labels = labels + + def infer(self, image, threshold): + output_layer = self.model.infer(image) + + results = [] + masks = output_layer['masks'] + boxes = output_layer['reshape_do_2d'] + + for index, box in enumerate(boxes): + obj_class = int(box[1]) + obj_value = box[2] + obj_label = self.labels.get(obj_class, "unknown") + if obj_value >= threshold: + xtl = box[3] * image.width + ytl = box[4] * image.height + xbr = box[5] * image.width + ybr = box[6] * image.height + mask = masks[index][obj_class - 1] + + mask = segm_postprocess((xtl, ytl, xbr, ybr), + mask, image.height, image.width) + + contours = find_contours(mask, MASK_THRESHOLD) + contour = contours[0] + contour = np.flip(contour, axis=1) + contour = approximate_polygon(contour, tolerance=2.5) + if len(contour) < 3: + continue + + results.append({ + "confidence": str(obj_value), + "label": obj_label, + "points": contour.ravel().tolist(), + "type": "polygon", + }) + + return results \ No newline at end of file diff --git a/serverless/openvino/omz/public/yolo-v3-tf/nuclio/function.yaml b/serverless/openvino/omz/public/yolo-v3-tf/nuclio/function.yaml new file mode 100644 index 00000000..31ea02b4 --- /dev/null +++ b/serverless/openvino/omz/public/yolo-v3-tf/nuclio/function.yaml @@ -0,0 +1,131 @@ +metadata: + name: openvino.omz.public.yolo-v3-tf + namespace: cvat + annotations: + name: YOLO v3 + type: detector + framework: openvino + spec: | + [ + { "id": 0, "name": "person" }, + { "id": 1, "name": "bicycle" }, + { "id": 2, "name": "car" }, + { "id": 3, "name": "motorbike" }, + { "id": 4, "name": "aeroplane" }, + { "id": 5, "name": "bus" }, + { "id": 6, "name": "train" }, + { "id": 7, "name": "truck" }, + { "id": 8, "name": "boat" }, + { "id": 9, "name": "traffic light" }, + { "id": 10, "name": "fire hydrant" }, + { "id": 11, "name": "stop sign" }, + { "id": 12, "name": "parking meter" }, + { "id": 13, "name": "bench" }, + { "id": 14, "name": "bird" }, + { "id": 15, "name": "cat" }, + { "id": 16, "name": "dog" }, + { "id": 17, "name": "horse" }, + { "id": 18, "name": "sheep" }, + { "id": 19, "name": "cow" }, + { "id": 20, "name": "elephant" }, + { "id": 21, "name": "bear" }, + { "id": 22, "name": "zebra" }, + { "id": 23, "name": "giraffe" }, + { "id": 24, "name": "backpack" }, + { "id": 25, "name": "umbrella" }, + { "id": 26, "name": "handbag" }, + { "id": 27, "name": "tie" }, + { "id": 28, "name": "suitcase" }, + { "id": 29, "name": "frisbee" }, + { "id": 30, "name": "skis" }, + { "id": 31, "name": "snowboard" }, + { "id": 32, "name": "sports ball" }, + { "id": 33, "name": "kite" }, + { "id": 34, "name": "baseball bat" }, + { "id": 35, "name": "baseball glove" }, + { "id": 36, "name": "skateboard" }, + { "id": 37, "name": "surfboard" }, + { "id": 38, "name": "tennis racket" }, + { "id": 39, "name": "bottle" }, + { "id": 40, "name": "wine glass" }, + { "id": 41, "name": "cup" }, + { "id": 42, "name": "fork" }, + { "id": 43, "name": "knife" }, + { "id": 44, "name": "spoon" }, + { "id": 45, "name": "bowl" }, + { "id": 46, "name": "banana" }, + { "id": 47, "name": "apple" }, + { "id": 48, "name": "sandwich" }, + { "id": 49, "name": "orange" }, + { "id": 50, "name": "broccoli" }, + { "id": 51, "name": "carrot" }, + { "id": 52, "name": "hot dog" }, + { "id": 53, "name": "pizza" }, + { "id": 54, "name": "donut" }, + { "id": 55, "name": "cake" }, + { "id": 56, "name": "chair" }, + { "id": 57, "name": "sofa" }, + { "id": 58, "name": "pottedplant" }, + { "id": 59, "name": "bed" }, + { "id": 60, "name": "diningtable" }, + { "id": 61, "name": "toilet" }, + { "id": 62, "name": "tvmonitor" }, + { "id": 63, "name": "laptop" }, + { "id": 64, "name": "mouse" }, + { "id": 65, "name": "remote" }, + { "id": 66, "name": "keyboard" }, + { "id": 67, "name": "cell phone" }, + { "id": 68, "name": "microwave" }, + { "id": 69, "name": "oven" }, + { "id": 70, "name": "toaster" }, + { "id": 71, "name": "sink" }, + { "id": 72, "name": "refrigerator" }, + { "id": 73, "name": "book" }, + { "id": 74, "name": "clock" }, + { "id": 75, "name": "vase" }, + { "id": 76, "name": "scissors" }, + { "id": 77, "name": "teddy bear" }, + { "id": 78, "name": "hair drier" }, + { "id": 79, "name": "toothbrush" } + ] + +spec: + description: YOLO v3 via Intel OpenVINO + runtime: "python:3.6" + handler: main:handler + eventTimeout: 30s + env: + - name: NUCLIO_PYTHON_EXE_PATH + value: /opt/nuclio/common/python3 + + build: + image: cvat/openvino.omz.public.yolo-v3-tf + baseImage: openvino/ubuntu18_dev:2020.2 + + directives: + preCopy: + - kind: USER + value: root + - kind: WORKDIR + value: /opt/nuclio + - kind: RUN + value: ln -s /usr/bin/pip3 /usr/bin/pip + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name yolo-v3-tf -o /opt/nuclio/open_model_zoo + - kind: RUN + value: /opt/intel/openvino/deployment_tools/open_model_zoo/tools/downloader/converter.py --name yolo-v3-tf --precisions FP32 -d /opt/nuclio/open_model_zoo -o /opt/nuclio/open_model_zoo + + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/openvino/omz/public/yolo-v3-tf/nuclio/main.py b/serverless/openvino/omz/public/yolo-v3-tf/nuclio/main.py new file mode 100644 index 00000000..806ab654 --- /dev/null +++ b/serverless/openvino/omz/public/yolo-v3-tf/nuclio/main.py @@ -0,0 +1,32 @@ +import json +import base64 +from PIL import Image +import io +from model_handler import ModelHandler +import yaml + +def init_context(context): + context.logger.info("Init context... 0%") + + # Read labels + functionconfig = yaml.safe_load(open("/opt/nuclio/function.yaml")) + labels_spec = functionconfig['metadata']['annotations']['spec'] + labels = {item['id']: item['name'] for item in json.loads(labels_spec)} + + # Read the DL model + model = ModelHandler(labels) + setattr(context.user_data, 'model', model) + + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("Run yolo-v3-tf model") + data = event.body + buf = io.BytesIO(base64.b64decode(data["image"].encode('utf-8'))) + threshold = float(data.get("threshold", 0.5)) + image = Image.open(buf) + + results = context.user_data.model.infer(image, threshold) + + return context.Response(body=json.dumps(results), headers={}, + content_type='application/json', status_code=200) diff --git a/serverless/openvino/omz/public/yolo-v3-tf/nuclio/model_handler.py b/serverless/openvino/omz/public/yolo-v3-tf/nuclio/model_handler.py new file mode 100644 index 00000000..47fa5842 --- /dev/null +++ b/serverless/openvino/omz/public/yolo-v3-tf/nuclio/model_handler.py @@ -0,0 +1,160 @@ +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import os +from math import exp +from model_loader import ModelLoader + +class YoloParams: + # ------------------------------------------- Extracting layer parameters ------------------------------------------ + # Magic numbers are copied from yolo samples + def __init__(self, param, side): + self.num = 3 if 'num' not in param else int(param['num']) + self.coords = 4 if 'coords' not in param else int(param['coords']) + self.classes = 80 if 'classes' not in param else int(param['classes']) + self.side = side + self.anchors = [10.0, 13.0, 16.0, 30.0, 33.0, 23.0, 30.0, 61.0, 62.0, 45.0, 59.0, 119.0, 116.0, 90.0, 156.0, + 198.0, + 373.0, 326.0] if 'anchors' not in param else [float(a) for a in param['anchors'].split(',')] + + self.isYoloV3 = False + + if param.get('mask'): + mask = [int(idx) for idx in param['mask'].split(',')] + self.num = len(mask) + + maskedAnchors = [] + for idx in mask: + maskedAnchors += [self.anchors[idx * 2], self.anchors[idx * 2 + 1]] + self.anchors = maskedAnchors + + self.isYoloV3 = True # Weak way to determine but the only one. + + +def entry_index(side, coord, classes, location, entry): + side_power_2 = side ** 2 + n = location // side_power_2 + loc = location % side_power_2 + return int(side_power_2 * (n * (coord + classes + 1) + entry) + loc) + + +def scale_bbox(x, y, h, w, class_id, confidence, h_scale, w_scale): + xmin = int((x - w / 2) * w_scale) + ymin = int((y - h / 2) * h_scale) + xmax = int(xmin + w * w_scale) + ymax = int(ymin + h * h_scale) + return dict(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, class_id=class_id, confidence=confidence) + + +def parse_yolo_region(blob, resized_image_shape, original_im_shape, params, threshold): + # ------------------------------------------ Validating output parameters ------------------------------------------ + _, _, out_blob_h, out_blob_w = blob.shape + assert out_blob_w == out_blob_h, "Invalid size of output blob. It sould be in NCHW layout and height should " \ + "be equal to width. Current height = {}, current width = {}" \ + "".format(out_blob_h, out_blob_w) + + # ------------------------------------------ Extracting layer parameters ------------------------------------------- + orig_im_h, orig_im_w = original_im_shape + resized_image_h, resized_image_w = resized_image_shape + objects = list() + predictions = blob.flatten() + side_square = params.side * params.side + + # ------------------------------------------- Parsing YOLO Region output ------------------------------------------- + for i in range(side_square): + row = i // params.side + col = i % params.side + for n in range(params.num): + obj_index = entry_index(params.side, params.coords, params.classes, n * side_square + i, params.coords) + scale = predictions[obj_index] + if scale < threshold: + continue + box_index = entry_index(params.side, params.coords, params.classes, n * side_square + i, 0) + # Network produces location predictions in absolute coordinates of feature maps. + # Scale it to relative coordinates. + x = (col + predictions[box_index + 0 * side_square]) / params.side + y = (row + predictions[box_index + 1 * side_square]) / params.side + # Value for exp is very big number in some cases so following construction is using here + try: + w_exp = exp(predictions[box_index + 2 * side_square]) + h_exp = exp(predictions[box_index + 3 * side_square]) + except OverflowError: + continue + # Depends on topology we need to normalize sizes by feature maps (up to YOLOv3) or by input shape (YOLOv3) + w = w_exp * params.anchors[2 * n] / (resized_image_w if params.isYoloV3 else params.side) + h = h_exp * params.anchors[2 * n + 1] / (resized_image_h if params.isYoloV3 else params.side) + for j in range(params.classes): + class_index = entry_index(params.side, params.coords, params.classes, n * side_square + i, + params.coords + 1 + j) + confidence = scale * predictions[class_index] + if confidence < threshold: + continue + objects.append(scale_bbox(x=x, y=y, h=h, w=w, class_id=j, confidence=confidence, + h_scale=orig_im_h, w_scale=orig_im_w)) + return objects + + +def intersection_over_union(box_1, box_2): + width_of_overlap_area = min(box_1['xmax'], box_2['xmax']) - max(box_1['xmin'], box_2['xmin']) + height_of_overlap_area = min(box_1['ymax'], box_2['ymax']) - max(box_1['ymin'], box_2['ymin']) + if width_of_overlap_area < 0 or height_of_overlap_area < 0: + area_of_overlap = 0 + else: + area_of_overlap = width_of_overlap_area * height_of_overlap_area + box_1_area = (box_1['ymax'] - box_1['ymin']) * (box_1['xmax'] - box_1['xmin']) + box_2_area = (box_2['ymax'] - box_2['ymin']) * (box_2['xmax'] - box_2['xmin']) + area_of_union = box_1_area + box_2_area - area_of_overlap + if area_of_union == 0: + return 0 + return area_of_overlap / area_of_union + + +class ModelHandler: + def __init__(self, labels): + base_dir = os.environ.get("MODEL_PATH", + "/opt/nuclio/open_model_zoo/public/yolo-v3-tf/FP32") + model_xml = os.path.join(base_dir, "yolo-v3-tf.xml") + model_bin = os.path.join(base_dir, "yolo-v3-tf.bin") + self.model = ModelLoader(model_xml, model_bin) + self.labels = labels + + def infer(self, image, threshold): + output_layer = self.model.infer(image) + + # Collecting object detection results + objects = [] + origin_im_size = (image.height, image.width) + for layer_name, out_blob in output_layer.items(): + out_blob = out_blob.reshape(self.model.layers[self.model.layers[layer_name].parents[0]].shape) + layer_params = YoloParams(self.model.layers[layer_name].params, out_blob.shape[2]) + objects += parse_yolo_region(out_blob, self.model.input_size(), + origin_im_size, layer_params, threshold) + + # Filtering overlapping boxes (non-maximum supression) + IOU_THRESHOLD = 0.4 + objects = sorted(objects, key=lambda obj : obj['confidence'], reverse=True) + for i, obj in enumerate(objects): + if obj['confidence'] == 0: + continue + for j in range(i + 1, len(objects)): + if intersection_over_union(obj, objects[j]) > IOU_THRESHOLD: + objects[j]['confidence'] = 0 + + results = [] + for obj in objects: + if obj['confidence'] >= threshold: + xtl = max(obj['xmin'], 0) + ytl = max(obj['ymin'], 0) + xbr = min(obj['xmax'], image.width) + ybr = min(obj['ymax'], image.height) + obj_class = int(obj['class_id']) + + results.append({ + "confidence": str(obj['confidence']), + "label": self.labels.get(obj_class, "unknown"), + "points": [xtl, ytl, xbr, ybr], + "type": "rectangle", + }) + + return results \ No newline at end of file diff --git a/serverless/pytorch/foolwood/siammask/nuclio/function.yaml b/serverless/pytorch/foolwood/siammask/nuclio/function.yaml new file mode 100644 index 00000000..bb165c79 --- /dev/null +++ b/serverless/pytorch/foolwood/siammask/nuclio/function.yaml @@ -0,0 +1,56 @@ +metadata: + name: pth.foolwood.siammask + namespace: cvat + annotations: + name: SiamMask + type: tracker + spec: + framework: pytorch + +spec: + description: Fast Online Object Tracking and Segmentation + runtime: "python:3.6" + handler: main:handler + eventTimeout: 30s + env: + - name: PYTHONPATH + value: /opt/nuclio/SiamMask:/opt/nuclio/SiamMask/experiments/siammask_sharp + + build: + image: cvat/pth.foolwood.siammask + baseImage: continuumio/miniconda3 + + directives: + preCopy: + - kind: WORKDIR + value: /opt/nuclio + - kind: RUN + value: conda create -y -n siammask python=3.6 + - kind: SHELL + value: '["conda", "run", "-n", "siammask", "/bin/bash", "-c"]' + - kind: RUN + value: git clone https://github.com/foolwood/SiamMask.git + - kind: RUN + value: pip install -r SiamMask/requirements.txt jsonpickle + - kind: RUN + value: conda install -y gcc_linux-64 + - kind: RUN + value: cd SiamMask && bash make.sh && cd - + - kind: RUN + value: wget -P SiamMask/experiments/siammask_sharp http://www.robots.ox.ac.uk/~qwang/SiamMask_DAVIS.pth + - kind: ENTRYPOINT + value: '["conda", "run", "-n", "siammask"]' + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/pytorch/foolwood/siammask/nuclio/main.py b/serverless/pytorch/foolwood/siammask/nuclio/main.py new file mode 100644 index 00000000..51c3669a --- /dev/null +++ b/serverless/pytorch/foolwood/siammask/nuclio/main.py @@ -0,0 +1,27 @@ +import json +import base64 +from PIL import Image +import io +from model_handler import ModelHandler + +def init_context(context): + context.logger.info("Init context... 0%") + + # Read the DL model + model = ModelHandler() + setattr(context.user_data, 'model', model) + + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("Run SiamMask model") + data = event.body + buf = io.BytesIO(base64.b64decode(data["image"].encode('utf-8'))) + shape = data.get("shape") + state = data.get("state") + image = Image.open(buf) + + results = context.user_data.model.infer(image, shape, state) + + return context.Response(body=json.dumps(results), headers={}, + content_type='application/json', status_code=200) diff --git a/serverless/pytorch/foolwood/siammask/nuclio/model_handler.py b/serverless/pytorch/foolwood/siammask/nuclio/model_handler.py new file mode 100644 index 00000000..826c7922 --- /dev/null +++ b/serverless/pytorch/foolwood/siammask/nuclio/model_handler.py @@ -0,0 +1,66 @@ +# Copyright (C) 2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +from tools.test import * +import os +from copy import copy +import jsonpickle +import numpy as np + +class ModelHandler: + def __init__(self): + # Setup device + self.device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') + torch.backends.cudnn.benchmark = True + + base_dir = os.environ.get("MODEL_PATH", + "/opt/nuclio/SiamMask/experiments/siammask_sharp") + class configPath: + config = os.path.join(base_dir, "config_davis.json") + + self.config = load_config(configPath) + from custom import Custom + siammask = Custom(anchors=self.config['anchors']) + self.siammask = load_pretrain(siammask, os.path.join(base_dir, "SiamMask_DAVIS.pth")) + self.siammask.eval().to(self.device) + + def encode_state(self, state): + state['net.zf'] = state['net'].zf + state.pop('net', None) + state.pop('mask', None) + + for k,v in state.items(): + state[k] = jsonpickle.encode(v) + + return state + + def decode_state(self, state): + for k,v in state.items(): + state[k] = jsonpickle.decode(v) + + state['net'] = copy(self.siammask) + state['net'].zf = state['net.zf'] + del state['net.zf'] + + return state + + def infer(self, image, shape, state): + image = np.array(image) + if state is None: # init tracking + xtl, ytl, xbr, ybr = shape + target_pos = np.array([(xtl + xbr) / 2, (ytl + ybr) / 2]) + target_sz = np.array([xbr - xtl, ybr - ytl]) + siammask = copy(self.siammask) # don't modify self.siammask + state = siamese_init(image, target_pos, target_sz, siammask, + self.config['hp'], device=self.device) + state = self.encode_state(state) + else: # track + state = self.decode_state(state) + state = siamese_track(state, image, mask_enable=True, + refine_enable=True, device=self.device) + shape = state['ploygon'].flatten().tolist() + state = self.encode_state(state) + + return {"shape": shape, "state": state} + diff --git a/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/function.yaml b/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/function.yaml new file mode 100644 index 00000000..c58617ce --- /dev/null +++ b/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/function.yaml @@ -0,0 +1,132 @@ +metadata: + name: tf.faster_rcnn_inception_v2_coco + namespace: cvat + annotations: + name: Faster RCNN via Tensorflow + type: detector + framework: tensorflow + spec: | + [ + { "id": 1, "name": "person" }, + { "id": 2, "name": "bicycle" }, + { "id": 3, "name": "car" }, + { "id": 4, "name": "motorcycle" }, + { "id": 5, "name": "airplane" }, + { "id": 6, "name": "bus" }, + { "id": 7, "name": "train" }, + { "id": 8, "name": "truck" }, + { "id": 9, "name": "boat" }, + { "id":10, "name": "traffic_light" }, + { "id":11, "name": "fire_hydrant" }, + { "id":13, "name": "stop_sign" }, + { "id":14, "name": "parking_meter" }, + { "id":15, "name": "bench" }, + { "id":16, "name": "bird" }, + { "id":17, "name": "cat" }, + { "id":18, "name": "dog" }, + { "id":19, "name": "horse" }, + { "id":20, "name": "sheep" }, + { "id":21, "name": "cow" }, + { "id":22, "name": "elephant" }, + { "id":23, "name": "bear" }, + { "id":24, "name": "zebra" }, + { "id":25, "name": "giraffe" }, + { "id":27, "name": "backpack" }, + { "id":28, "name": "umbrella" }, + { "id":31, "name": "handbag" }, + { "id":32, "name": "tie" }, + { "id":33, "name": "suitcase" }, + { "id":34, "name": "frisbee" }, + { "id":35, "name": "skis" }, + { "id":36, "name": "snowboard" }, + { "id":37, "name": "sports_ball" }, + { "id":38, "name": "kite" }, + { "id":39, "name": "baseball_bat" }, + { "id":40, "name": "baseball_glove" }, + { "id":41, "name": "skateboard" }, + { "id":42, "name": "surfboard" }, + { "id":43, "name": "tennis_racket" }, + { "id":44, "name": "bottle" }, + { "id":46, "name": "wine_glass" }, + { "id":47, "name": "cup" }, + { "id":48, "name": "fork" }, + { "id":49, "name": "knife" }, + { "id":50, "name": "spoon" }, + { "id":51, "name": "bowl" }, + { "id":52, "name": "banana" }, + { "id":53, "name": "apple" }, + { "id":54, "name": "sandwich" }, + { "id":55, "name": "orange" }, + { "id":56, "name": "broccoli" }, + { "id":57, "name": "carrot" }, + { "id":58, "name": "hot_dog" }, + { "id":59, "name": "pizza" }, + { "id":60, "name": "donut" }, + { "id":61, "name": "cake" }, + { "id":62, "name": "chair" }, + { "id":63, "name": "couch" }, + { "id":64, "name": "potted_plant" }, + { "id":65, "name": "bed" }, + { "id":67, "name": "dining_table" }, + { "id":70, "name": "toilet" }, + { "id":72, "name": "tv" }, + { "id":73, "name": "laptop" }, + { "id":74, "name": "mouse" }, + { "id":75, "name": "remote" }, + { "id":76, "name": "keyboard" }, + { "id":77, "name": "cell_phone" }, + { "id":78, "name": "microwave" }, + { "id":79, "name": "oven" }, + { "id":80, "name": "toaster" }, + { "id":81, "name": "sink" }, + { "id":83, "name": "refrigerator" }, + { "id":84, "name": "book" }, + { "id":85, "name": "clock" }, + { "id":86, "name": "vase" }, + { "id":87, "name": "scissors" }, + { "id":88, "name": "teddy_bear" }, + { "id":89, "name": "hair_drier" }, + { "id":90, "name": "toothbrush" } + ] + +spec: + description: Faster RCNN from Tensorflow Object Detection API + runtime: "python:3.6" + handler: main:handler + eventTimeout: 30s + + build: + image: cvat/tf.faster_rcnn_inception_v2_coco + baseImage: tensorflow/tensorflow:2.1.1 + + directives: + preCopy: + - kind: RUN + value: apt install curl + - kind: WORKDIR + value: /opt/nuclio + + postCopy: + - kind: RUN + value: curl -O http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_v2_coco_2018_01_28.tar.gz + - kind: RUN + value: tar -xzf faster_rcnn_inception_v2_coco_2018_01_28.tar.gz && rm faster_rcnn_inception_v2_coco_2018_01_28.tar.gz + - kind: RUN + value: ln -s faster_rcnn_inception_v2_coco_2018_01_28 faster_rcnn + - kind: RUN + value: pip install pillow pyyaml + + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/main.py b/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/main.py new file mode 100644 index 00000000..8bcad27c --- /dev/null +++ b/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/main.py @@ -0,0 +1,48 @@ +import json +import base64 +import io +from PIL import Image +import yaml +from model_loader import ModelLoader + + +def init_context(context): + context.logger.info("Init context... 0%") + model_path = "/opt/nuclio/faster_rcnn/frozen_inference_graph.pb" + model_handler = ModelLoader(model_path) + setattr(context.user_data, 'model_handler', model_handler) + functionconfig = yaml.safe_load(open("/opt/nuclio/function.yaml")) + labels_spec = functionconfig['metadata']['annotations']['spec'] + labels = {item['id']: item['name'] for item in json.loads(labels_spec)} + setattr(context.user_data, "labels", labels) + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("Run faster_rcnn_inception_v2_coco model") + data = event.body + buf = io.BytesIO(base64.b64decode(data["image"].encode('utf-8'))) + threshold = float(data.get("threshold", 0.5)) + image = Image.open(buf) + + (boxes, scores, classes, num_detections) = context.user_data.model_handler.infer(image) + + results = [] + for i in range(int(num_detections[0])): + obj_class = int(classes[0][i]) + obj_score = scores[0][i] + obj_label = context.user_data.labels.get(obj_class, "unknown") + if obj_score >= threshold: + xtl = boxes[0][i][1] * image.width + ytl = boxes[0][i][0] * image.height + xbr = boxes[0][i][3] * image.width + ybr = boxes[0][i][2] * image.height + + results.append({ + "confidence": str(obj_score), + "label": obj_label, + "points": [xtl, ytl, xbr, ybr], + "type": "rectangle", + }) + + return context.Response(body=json.dumps(results), headers={}, + content_type='application/json', status_code=200) diff --git a/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/model_loader.py b/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/model_loader.py new file mode 100644 index 00000000..8158eee3 --- /dev/null +++ b/serverless/tensorflow/faster_rcnn_inception_v2_coco/nuclio/model_loader.py @@ -0,0 +1,43 @@ + +import numpy as np +from PIL import Image +import tensorflow.compat.v1 as tf +tf.disable_v2_behavior() + +class ModelLoader: + def __init__(self, model_path): + self.session = None + + detection_graph = tf.Graph() + with detection_graph.as_default(): + od_graph_def = tf.GraphDef() + with tf.gfile.GFile(model_path, 'rb') as fid: + serialized_graph = fid.read() + od_graph_def.ParseFromString(serialized_graph) + tf.import_graph_def(od_graph_def, name='') + + config = tf.ConfigProto() + config.gpu_options.allow_growth = True + self.session = tf.Session(graph=detection_graph, config=config) + + self.image_tensor = detection_graph.get_tensor_by_name('image_tensor:0') + self.boxes = detection_graph.get_tensor_by_name('detection_boxes:0') + self.scores = detection_graph.get_tensor_by_name('detection_scores:0') + self.classes = detection_graph.get_tensor_by_name('detection_classes:0') + self.num_detections = detection_graph.get_tensor_by_name('num_detections:0') + + def __del__(self): + if self.session: + self.session.close() + del self.session + + def infer(self, image): + width, height = image.size + if width > 1920 or height > 1080: + image = image.resize((width // 2, height // 2), Image.ANTIALIAS) + image_np = np.array(image.getdata()).reshape((image.height, image.width, 3)).astype(np.uint8) + image_np = np.expand_dims(image_np, axis=0) + + return self.session.run( + [self.boxes, self.scores, self.classes, self.num_detections], + feed_dict={self.image_tensor: image_np}) diff --git a/serverless/tensorflow/matterport/mask_rcnn/nuclio/function.yaml b/serverless/tensorflow/matterport/mask_rcnn/nuclio/function.yaml new file mode 100644 index 00000000..b50868a6 --- /dev/null +++ b/serverless/tensorflow/matterport/mask_rcnn/nuclio/function.yaml @@ -0,0 +1,133 @@ +metadata: + name: tf.matterport.mask_rcnn + namespace: cvat + annotations: + name: Mask RCNN via Tensorflow + type: detector + framework: tensorflow + spec: | + [ + { "id": 0, "name": "BG" }, + { "id": 1, "name": "person" }, + { "id": 2, "name": "bicycle" }, + { "id": 3, "name": "car" }, + { "id": 4, "name": "motorcycle" }, + { "id": 5, "name": "airplane" }, + { "id": 6, "name": "bus" }, + { "id": 7, "name": "train" }, + { "id": 8, "name": "truck" }, + { "id": 9, "name": "boat" }, + { "id": 10, "name": "traffic_light" }, + { "id": 11, "name": "fire_hydrant" }, + { "id": 12, "name": "stop_sign" }, + { "id": 13, "name": "parking_meter" }, + { "id": 14, "name": "bench" }, + { "id": 15, "name": "bird" }, + { "id": 16, "name": "cat" }, + { "id": 17, "name": "dog" }, + { "id": 18, "name": "horse" }, + { "id": 19, "name": "sheep" }, + { "id": 20, "name": "cow" }, + { "id": 21, "name": "elephant" }, + { "id": 22, "name": "bear" }, + { "id": 23, "name": "zebra" }, + { "id": 24, "name": "giraffe" }, + { "id": 25, "name": "backpack" }, + { "id": 26, "name": "umbrella" }, + { "id": 27, "name": "handbag" }, + { "id": 28, "name": "tie" }, + { "id": 29, "name": "suitcase" }, + { "id": 30, "name": "frisbee" }, + { "id": 31, "name": "skis" }, + { "id": 32, "name": "snowboard" }, + { "id": 33, "name": "sports_ball" }, + { "id": 34, "name": "kite" }, + { "id": 35, "name": "baseball_bat" }, + { "id": 36, "name": "baseball_glove" }, + { "id": 37, "name": "skateboard" }, + { "id": 38, "name": "surfboard" }, + { "id": 39, "name": "tennis_racket" }, + { "id": 40, "name": "bottle" }, + { "id": 41, "name": "wine_glass" }, + { "id": 42, "name": "cup" }, + { "id": 43, "name": "fork" }, + { "id": 44, "name": "knife" }, + { "id": 45, "name": "spoon" }, + { "id": 46, "name": "bowl" }, + { "id": 47, "name": "banana" }, + { "id": 48, "name": "apple" }, + { "id": 49, "name": "sandwich" }, + { "id": 50, "name": "orange" }, + { "id": 51, "name": "broccoli" }, + { "id": 52, "name": "carrot" }, + { "id": 53, "name": "hot_dog" }, + { "id": 54, "name": "pizza" }, + { "id": 55, "name": "donut" }, + { "id": 56, "name": "cake" }, + { "id": 57, "name": "chair" }, + { "id": 58, "name": "couch" }, + { "id": 59, "name": "potted_plant" }, + { "id": 60, "name": "bed" }, + { "id": 61, "name": "dining_table" }, + { "id": 62, "name": "toilet" }, + { "id": 63, "name": "tv" }, + { "id": 64, "name": "laptop" }, + { "id": 65, "name": "mouse" }, + { "id": 66, "name": "remote" }, + { "id": 67, "name": "keyboard" }, + { "id": 68, "name": "cell_phone" }, + { "id": 69, "name": "microwave" }, + { "id": 70, "name": "oven" }, + { "id": 71, "name": "toaster" }, + { "id": 72, "name": "sink" }, + { "id": 73, "name": "refrigerator" }, + { "id": 74, "name": "book" }, + { "id": 75, "name": "clock" }, + { "id": 76, "name": "vase" }, + { "id": 77, "name": "scissors" }, + { "id": 78, "name": "teddy_bear" }, + { "id": 79, "name": "hair_drier" }, + { "id": 80, "name": "toothbrush" } + ] + +spec: + description: | + An implementation of Mask RCNN on Python 3, Keras, and TensorFlow. + + runtime: "python:3.6" + handler: main:handler + eventTimeout: 30s + env: + - name: MASK_RCNN_DIR + value: /opt/nuclio/Mask_RCNN + build: + image: cvat/tf.matterport.mask_rcnn + baseImage: tensorflow/tensorflow:2.1.0-py3 + directives: + postCopy: + - kind: WORKDIR + value: /opt/nuclio + - kind: RUN + value: apt update && apt install --no-install-recommends -y git curl libsm6 libxext6 libxrender-dev + - kind: RUN + value: git clone https://github.com/matterport/Mask_RCNN.git + - kind: RUN + value: curl -L https://github.com/matterport/Mask_RCNN/releases/download/v2.0/mask_rcnn_coco.h5 -o Mask_RCNN/mask_rcnn_coco.h5 + - kind: RUN + value: pip3 install -r Mask_RCNN/requirements.txt + - kind: RUN + value: pip3 install pycocotools tensorflow==1.13.1 keras==2.1.0 pillow pyyaml + + triggers: + myHttpTrigger: + maxWorkers: 2 + kind: "http" + workerAvailabilityTimeoutMilliseconds: 10000 + attributes: + maxRequestBodySize: 33554432 # 32MB + + platform: + attributes: + restartPolicy: + name: always + maximumRetryCount: 3 diff --git a/serverless/tensorflow/matterport/mask_rcnn/nuclio/main.py b/serverless/tensorflow/matterport/mask_rcnn/nuclio/main.py new file mode 100644 index 00000000..95816dd4 --- /dev/null +++ b/serverless/tensorflow/matterport/mask_rcnn/nuclio/main.py @@ -0,0 +1,32 @@ +import json +import base64 +from PIL import Image +import io +from model_loader import ModelLoader +import numpy as np +import yaml + + +def init_context(context): + context.logger.info("Init context... 0%") + + functionconfig = yaml.safe_load(open("/opt/nuclio/function.yaml")) + labels_spec = functionconfig['metadata']['annotations']['spec'] + labels = {item['id']: item['name'] for item in json.loads(labels_spec)} + + model_handler = ModelLoader(labels) + setattr(context.user_data, 'model_handler', model_handler) + + context.logger.info("Init context...100%") + +def handler(context, event): + context.logger.info("Run tf.matterport.mask_rcnn model") + data = event.body + buf = io.BytesIO(base64.b64decode(data["image"].encode('utf-8'))) + threshold = float(data.get("threshold", 0.2)) + image = Image.open(buf) + + results = context.user_data.model_handler.infer(np.array(image), threshold) + + return context.Response(body=json.dumps(results), headers={}, + content_type='application/json', status_code=200) \ No newline at end of file diff --git a/serverless/tensorflow/matterport/mask_rcnn/nuclio/model_loader.py b/serverless/tensorflow/matterport/mask_rcnn/nuclio/model_loader.py new file mode 100644 index 00000000..b210338a --- /dev/null +++ b/serverless/tensorflow/matterport/mask_rcnn/nuclio/model_loader.py @@ -0,0 +1,79 @@ +# Copyright (C) 2018-2020 Intel Corporation +# +# SPDX-License-Identifier: MIT + +import os +import numpy as np +import sys +from skimage.measure import find_contours, approximate_polygon + +# workaround for tf.placeholder() is not compatible with eager execution +# https://github.com/tensorflow/tensorflow/issues/18165 +import tensorflow as tf +tf.compat.v1.disable_eager_execution() +#import tensorflow.compat.v1 as tf +# tf.disable_v2_behavior() + +# The directory should contain a clone of +# https://github.com/matterport/Mask_RCNN repository and +# downloaded mask_rcnn_coco.h5 model. +MASK_RCNN_DIR = os.environ.get('MASK_RCNN_DIR') +if MASK_RCNN_DIR: + sys.path.append(MASK_RCNN_DIR) # To find local version of the library + sys.path.append(os.path.join(MASK_RCNN_DIR, 'samples/coco')) + +from mrcnn import model as modellib +import coco + +class ModelLoader: + def __init__(self, labels): + COCO_MODEL_PATH = os.path.join(MASK_RCNN_DIR, "mask_rcnn_coco.h5") + if COCO_MODEL_PATH is None: + raise OSError('Model path env not found in the system.') + + class InferenceConfig(coco.CocoConfig): + # Set batch size to 1 since we'll be running inference on + # one image at a time. Batch size = GPU_COUNT * IMAGES_PER_GPU + GPU_COUNT = 1 + IMAGES_PER_GPU = 1 + + # Print config details + self.config = InferenceConfig() + self.config.display() + + self.model = modellib.MaskRCNN(mode="inference", + config=self.config, model_dir=MASK_RCNN_DIR) + self.model.load_weights(COCO_MODEL_PATH, by_name=True) + self.labels = labels + + def infer(self, image, threshold): + output = self.model.detect([image], verbose=1)[0] + + results = [] + MASK_THRESHOLD = 0.5 + for i in range(len(output["rois"])): + score = output["scores"][i] + class_id = output["class_ids"][i] + mask = output["masks"][:,:,i] + if score >= threshold: + mask = mask.astype(np.uint8) + contours = find_contours(mask, MASK_THRESHOLD) + # only one contour exist in our case + contour = contours[0] + contour = np.flip(contour, axis=1) + # Approximate the contour and reduce the number of points + contour = approximate_polygon(contour, tolerance=2.5) + if len(contour) < 3: + continue + label = self.labels[class_id] + + results.append({ + "confidence": str(score), + "label": label, + "points": contour.ravel().tolist(), + "type": "polygon", + }) + + return results + + diff --git a/tests/cypress.json b/tests/cypress.json new file mode 100644 index 00000000..51422aa1 --- /dev/null +++ b/tests/cypress.json @@ -0,0 +1,11 @@ +{ + "video": false, + "baseUrl": "http://localhost:8080", + "viewportWidth": 1300, + "viewportHeight": 960, + "defaultCommandTimeout": 10000, + "testFiles": [ + "auth_page.js", + "issue_*.js" + ] +} diff --git a/tests/cypress/integration/auth_page.js b/tests/cypress/integration/auth_page.js index 28e55304..1583a326 100644 --- a/tests/cypress/integration/auth_page.js +++ b/tests/cypress/integration/auth_page.js @@ -7,27 +7,27 @@ /// describe('Check server availability', () => { - it('Server web interface is available', () => { - cy.visit('http://localhost:8080') - }) + it('Server web interface is available', () => { + cy.visit('/') + }) - it('"/auth/login" contains in the URL', () => { - cy.url().should('include', '/auth/login') - }) + it('"/auth/login" contains in the URL', () => { + cy.url({ timeout: 8000 }).should('include', '/auth/login') + }) - it('"Sign in" buttun is exists', () => { - cy.get('[type="submit"]') - }) + it('"Sign in" button is exists', () => { + cy.get('[type="submit"]') + }) - it('Check plaseholder "Username"', () => { - cy.get('input').invoke('attr', 'placeholder').should('contain', 'Username') - }) + it('Check placeholder "Username"', () => { + cy.get('input').invoke('attr', 'placeholder').should('contain', 'Username') + }) - it('Check plaseholder "Password"', () => { - cy.get('[type="password"]') - }) + it('Check placeholder "Password"', () => { + cy.get('[type="password"]') + }) - it('Click to "Sign in" buttun', () => { - cy.get('[type="submit"]').click() - }) + it('Click to "Sign in" button', () => { + cy.get('[type="submit"]').click() + }) }) diff --git a/tests/cypress/integration/issue_1429_check_new_label.js b/tests/cypress/integration/issue_1429_check_new_label.js new file mode 100644 index 00000000..955103a3 --- /dev/null +++ b/tests/cypress/integration/issue_1429_check_new_label.js @@ -0,0 +1,58 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +context('Check if the new label reflects in the options', () => { + + const issueId = '1429' + const labelName = `Issue ${issueId}` + const taskName = `New annotation task for ${labelName}` + const attrName = `Attr for ${labelName}` + const textDefaultValue = 'Some default value for type Text' + const image = `image_${issueId}.png` + const newLabelName = `New ${labelName}` + const width = 800 + const height = 800 + const posX = 10 + const posY = 10 + const color = 'gray' + + before(() => { + cy.visit('auth/login') + cy.login() + cy.imageGenerator('cypress/fixtures', image, width, height, color, posX, posY, labelName) + cy.createAnnotationTask(taskName, labelName, attrName, textDefaultValue, image) + }) + + describe(`Testing issue "${issueId}"`, () => { + it('Open a task. Open a job', () => { + cy.openTaskJob(taskName) + }) + it('Return to task page using browser button "previous page"', () => { + cy.go('back') + cy.url().should('include', '/tasks').and('not.contain', '/jobs') + }) + it('Add new label', () => { + cy.contains('button', 'Add label').click() + cy.get('[placeholder="Label name"]').type(newLabelName) + cy.contains('button', 'Done').click() + }) + it('Open the job again', () => { + cy.openJob() + }) + it('Create a shape', () => { + cy.createShape(309, 431, 616, 671) + }) + it('Checking for the new label', () => { + cy.get('#cvat-objects-sidebar-state-item-1') + .find('.ant-select-selection') + .click() + cy.get('.ant-select-dropdown-menu-item') + .should('contain', newLabelName) + }) + }) +}) diff --git a/tests/cypress/integration/issue_1439_blocked_object_info.js b/tests/cypress/integration/issue_1439_blocked_object_info.js new file mode 100644 index 00000000..a729f78c --- /dev/null +++ b/tests/cypress/integration/issue_1439_blocked_object_info.js @@ -0,0 +1,53 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +context('Information about a blocked object disappears if hover the cursor over another object', () => { + + const issueId = '1439' + const labelName = `Issue ${issueId}` + const taskName = `New annotation task for ${labelName}` + const attrName = `Attr for ${labelName}` + const textDefaultValue = 'Some default value for type Text' + const image = `image_${issueId}.png` + const width = 800 + const height = 800 + const posX = 10 + const posY = 10 + const color = 'gray' + + before(() => { + cy.visit('auth/login') + cy.login() + cy.imageGenerator('cypress/fixtures', image, width, height, color, posX, posY, labelName) + cy.createAnnotationTask(taskName, labelName, attrName, textDefaultValue, image) + cy.openTaskJob(taskName) + }) + + describe(`Testing issue "${issueId}"`, () => { + it('Create multiple objects', () => { + cy.createShape(309, 431, 409, 531) + cy.createShape(200, 300, 300, 400) + }) + it('Lock all objects', () => { + cy.get('.cvat-objects-sidebar-states-header') + .find('.anticon-unlock') + .click() + }) + it('Mousemove to 1st object', () => { + cy.get('#cvat_canvas_shape_1').trigger('mousemove') + }) + it('Mousemove to 2nd object', () => { + cy.get('#cvat_canvas_shape_2').trigger('mousemove') + }) + it('Information about 1st object not exist', () => { + cy.get('#cvat_canvas_text_content') + .contains(`${labelName} 1`) + .should('not.exist') + }) + }) +}) diff --git a/tests/cypress/integration/issue_1599_ch_user_registration.js b/tests/cypress/integration/issue_1599_ch_user_registration.js new file mode 100644 index 00000000..8bbe6c11 --- /dev/null +++ b/tests/cypress/integration/issue_1599_ch_user_registration.js @@ -0,0 +1,50 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +context('Issue 1599 (Chinese alphabet).', () => { + before(() => { + cy.visit('auth/register') + cy.url().should('include', '/auth/register') + }) + + describe('User registration using the Chinese alphabet.', () => { + it('Filling in the placeholder "First name"', () => { + cy.get('[placeholder="First name"]').type('测试者') + .should('not.have.class', 'has-error') + }) + + it('Filling in the placeholder "Last name"', () => { + cy.get('[placeholder="Last name"]').type('测试') + .should('not.have.class', 'has-error') + }) + + it('Filling in the placeholder "Username"', () => { + cy.get('[placeholder="Username"]').type('Testuser_ch') + }) + + it('Filling in the placeholder "Email address"', () => { + cy.get('[placeholder="Email address"]').type('Testuser_ch@local.local') + }) + + it('Filling in the placeholder "Password"', () => { + cy.get('[placeholder="Password"]').type('Qwerty123!') + }) + + it('Filling in the placeholder "Confirm password"', () => { + cy.get('[placeholder="Confirm password"]').type('Qwerty123!') + }) + + it('Click to "Submit" button', () => { + cy.get('[type="submit"]').click() + }) + + it('Successful registration', () => { + cy.url().should('include', '/tasks') + }) + }) +}) diff --git a/tests/cypress/integration/issue_1599_pl_user_registration.js b/tests/cypress/integration/issue_1599_pl_user_registration.js new file mode 100644 index 00000000..4551ac94 --- /dev/null +++ b/tests/cypress/integration/issue_1599_pl_user_registration.js @@ -0,0 +1,50 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +context('Issue 1599 (Polish alphabet).', () => { + before(() => { + cy.visit('auth/register') + cy.url().should('include', '/auth/register') + }) + + describe('User registration using the Polish alphabet.', () => { + it('Filling in the placeholder "First name"', () => { + cy.get('[placeholder="First name"]').type('Świętobor') + .should('not.have.class', 'has-error') + }) + + it('Filling in the placeholder "Last name"', () => { + cy.get('[placeholder="Last name"]').type('Сzcić') + .should('not.have.class', 'has-error') + }) + + it('Filling in the placeholder "Username"', () => { + cy.get('[placeholder="Username"]').type('Testuser_pl') + }) + + it('Filling in the placeholder "Email address"', () => { + cy.get('[placeholder="Email address"]').type('Testuser_pl@local.local') + }) + + it('Filling in the placeholder "Password"', () => { + cy.get('[placeholder="Password"]').type('Qwerty123!') + }) + + it('Filling in the placeholder "Confirm password"', () => { + cy.get('[placeholder="Confirm password"]').type('Qwerty123!') + }) + + it('Click to "Submit" button', () => { + cy.get('[type="submit"]').click() + }) + + it('Successful registration', () => { + cy.url().should('include', '/tasks') + }) + }) +}) diff --git a/tests/cypress/integration/issue_1750_err_aam_switch_frames.js b/tests/cypress/integration/issue_1750_err_aam_switch_frames.js new file mode 100644 index 00000000..1c106b4a --- /dev/null +++ b/tests/cypress/integration/issue_1750_err_aam_switch_frames.js @@ -0,0 +1,82 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +context('An error occurs in AAM when switching to 2 frames, if the frames have objects created in shape mode', () => { + + const issueId = '1750' + const labelName = `Issue ${issueId}` + const taskName = `New annotation task for ${labelName}` + const attrName = `Attr for ${labelName}` + const textDefaultValue = 'Some default value for type Text' + const images = [`image_${issueId}_1.png`, + `image_${issueId}_2.png`, + `image_${issueId}_3.png`] + const width = 800 + const height = 800 + const posX = 10 + const posY = 10 + const color = 'gray' + const archiveName = `images_issue_${issueId}.zip` + const archivePath = `cypress/fixtures/${archiveName}` + const imagesFolder = `cypress/fixtures/image_issue_${issueId}` + const directoryToArchive = imagesFolder + + before(() => { + cy.visit('auth/login') + cy.login() + for (let img of images) { + cy.imageGenerator(imagesFolder, img, width, height, color, posX, posY, labelName) + } + cy.createZipArchive(directoryToArchive, archivePath) + cy.createAnnotationTask(taskName, labelName, attrName, textDefaultValue, archiveName) + cy.openTaskJob(taskName) + }) + + describe(`Testing issue "${issueId}"`, () => { + it('Create multiple objects', () => { + cy.createShape(309, 431, 409, 531) + cy.createShape(200, 300, 300, 400) + }) + it('Go to AAM', () => { + cy.get('.cvat-workspace-selector') + .click() + cy.get('.ant-select-dropdown-menu-item') + .contains('Attribute annotation') + .click() + .should('contain.text', 'Attribute annotation') + }) + it('Go to next frame', () => { + cy.get('.cvat-player-next-button') + .click() + cy.get('.cvat-player-frame-selector').within(() => { + cy.get('input[role="spinbutton"]') + .should('have.value', '1') + }) + }) + it('Go to previous frame', () => { + cy.get('.cvat-player-previous-button') + .click() + cy.get('.cvat-player-frame-selector').within(() => { + cy.get('input[role="spinbutton"]') + .should('have.value', '0') + }) + }) + it('Go to next object', () => { + cy.get('.attribute-annotation-sidebar-object-switcher') + .should('contain', `${labelName} 1 [1/2]`) + .find('.anticon-right') + .click({force: true}) + }) + it('Page with the error is missing', () => { + cy.contains('Oops, something went wrong') + .should('not.exist') + cy.get('.attribute-annotation-sidebar-object-switcher') + .should('contain', `${labelName} 2 [2/2]`) + }) + }) +}) diff --git a/tests/cypress/integration/issue_1785_propagation_latest_frame.js b/tests/cypress/integration/issue_1785_propagation_latest_frame.js new file mode 100644 index 00000000..e9b940ba --- /dev/null +++ b/tests/cypress/integration/issue_1785_propagation_latest_frame.js @@ -0,0 +1,61 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +context('Check propagation work from the latest frame', () => { + + const issueId = '1785' + const labelName = `Issue ${issueId}` + const taskName = `New annotation task for ${labelName}` + const attrName = `Attr for ${labelName}` + const textDefaultValue = 'Some default value for type Text' + const images = [`image_${issueId}_1.png`, + `image_${issueId}_2.png`, + `image_${issueId}_3.png`] + const width = 800 + const height = 800 + const posX = 10 + const posY = 10 + const color = 'gray' + const archiveName = `images_issue_${issueId}.zip` + const archivePath = `cypress/fixtures/${archiveName}` + const imagesFolder = `cypress/fixtures/image_issue_${issueId}` + const directoryToArchive = imagesFolder + + before(() => { + cy.visit('auth/login') + cy.login() + for (let img of images) { + cy.imageGenerator(imagesFolder, img, width, height, color, posX, posY, labelName) + } + cy.createZipArchive(directoryToArchive, archivePath) + cy.createAnnotationTask(taskName, labelName, attrName, textDefaultValue, archiveName) + cy.openTaskJob(taskName) + }) + + describe(`Testing issue "${issueId}"`, () => { + it('Go to the last frame', () => { + cy.get('.cvat-player-last-button') + .click() + cy.get('.cvat-player-frame-selector').within(() => { + cy.get('input[role="spinbutton"]') + .should('have.value', '2') + }) + }) + it('Create a shape', () => { + cy.createShape(309, 431, 616, 671) + }) + it('Try to propagate', () => { + cy.get('#cvat_canvas_shape_1').trigger('mousemove') + cy.get('body').type('{ctrl}b') + cy.get('.ant-modal-content') + .find('.ant-btn-primary') + .click() + cy.get('.ant-notification-notice').should('not.exist') + }) + }) +}) diff --git a/tests/cypress/integration/issue_1870_cursor_not_jump_to_end.js b/tests/cypress/integration/issue_1870_cursor_not_jump_to_end.js new file mode 100644 index 00000000..e44ea21c --- /dev/null +++ b/tests/cypress/integration/issue_1870_cursor_not_jump_to_end.js @@ -0,0 +1,43 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +context('Checks that the cursor doesn\'t automatically jump to the end of a word when the attribute value changes', () => { + + const issueId = '1870' + const labelName = `Issue ${issueId}` + const taskName = `New annotation task for ${labelName}` + const attrName = `Attr for ${labelName}` + const textDefaultValue = 'text' + const image = `image_${issueId}.png` + const newLabelAttrValue = 'teeext' + const width = 800 + const height = 800 + const posX=10 + const posY=10 + const color='gray' + + before(() => { + cy.visit('auth/login') + cy.login() + cy.imageGenerator('cypress/fixtures', image, width, height, color, posX, posY, labelName) + cy.createAnnotationTask(taskName, labelName, attrName, textDefaultValue, image) + cy.openTaskJob(taskName) + cy.createShape(309, 431, 616, 671) + }) + + describe(`Testing issue "${issueId}"`, () => { + it('Enter 2 characters in the middle of the word attribute value and check the result', () => { + cy.get('#cvat-objects-sidebar-state-item-1') + .find('.ant-collapse-item') + .click() + .find('.cvat-object-item-text-attribute') + .type('{leftarrow}{leftarrow}ee') + .should('have.value', newLabelAttrValue) + }) + }) +}) diff --git a/tests/cypress/integration/issue_1919_check_text_attr.js b/tests/cypress/integration/issue_1919_check_text_attr.js new file mode 100644 index 00000000..ea6fca77 --- /dev/null +++ b/tests/cypress/integration/issue_1919_check_text_attr.js @@ -0,0 +1,55 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +context('Check label attribute changes', () => { + + const issueId = '1919' + const labelName = `Issue ${issueId}` + const taskName = `New annotation task for ${labelName}` + const attrName = `Attr for ${labelName}` + const textDefaultValue = 'Some default value for type Text' + const image = `image_${issueId}.png` + const newLabelAttrValue = 'New attribute value' + const width = 800 + const height = 800 + const posX = 10 + const posY = 10 + const color = 'gray' + + before(() => { + cy.visit('auth/login') + cy.login() + cy.imageGenerator('cypress/fixtures', image, width, height, color, posX, posY, labelName) + cy.createAnnotationTask(taskName, labelName, attrName, textDefaultValue, image) + cy.openTaskJob(taskName) + cy.createShape(309, 431, 616, 671) + }) + + describe(`Testing issue "${issueId}"`, () => { + it('Open object menu', () => { + cy.get('#cvat_canvas_shape_1').trigger('mousemove').rightclick() + }) + it('Open object menu details', () => { + cy.get('.cvat-canvas-context-menu') + .contains('Details') + .click() + }) + it('Clear field of text attribute and write new value', () => { + cy.get('.cvat-canvas-context-menu') + .find('.cvat-object-item-text-attribute') + .should('have.value', textDefaultValue) + .clear() + .type(newLabelAttrValue) + }) + it('Check what value of right panel is changed too', () => { + cy.get('#cvat-objects-sidebar-state-item-1') + .find('.cvat-object-item-text-attribute') + .should('have.value', newLabelAttrValue) + }) + }) +}) diff --git a/tests/cypress/plugins/createZipArchive/addPlugin.js b/tests/cypress/plugins/createZipArchive/addPlugin.js new file mode 100644 index 00000000..9c8dae40 --- /dev/null +++ b/tests/cypress/plugins/createZipArchive/addPlugin.js @@ -0,0 +1,30 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +exports.createZipArchive = createZipArchive + +const archiver = require('archiver') +const fs = require('fs-extra') + +function createZipArchive(args) { + const directoryToArchive = args.directoryToArchive + const output = fs.createWriteStream(args.arhivePath) + const archive = archiver('zip', { + gzip: true, + zlib: { level: 9 } + }) + + archive.on('error', function(err) { + throw err + }) + + archive.pipe(output) + + archive.directory(`${directoryToArchive}/`, false) + archive.finalize() + + return fs.pathExists(archive) +} diff --git a/tests/cypress/plugins/createZipArchive/createZipArchiveCommand.js b/tests/cypress/plugins/createZipArchive/createZipArchiveCommand.js new file mode 100644 index 00000000..9dbcf0a9 --- /dev/null +++ b/tests/cypress/plugins/createZipArchive/createZipArchiveCommand.js @@ -0,0 +1,12 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +Cypress.Commands.add('createZipArchive', function (directoryToArchive, arhivePath) { + return cy.task('createZipArchive', { + directoryToArchive: directoryToArchive, + arhivePath: arhivePath + }) +}) diff --git a/tests/cypress/plugins/imageGenerator/addPlugin.js b/tests/cypress/plugins/imageGenerator/addPlugin.js new file mode 100644 index 00000000..30d3f48d --- /dev/null +++ b/tests/cypress/plugins/imageGenerator/addPlugin.js @@ -0,0 +1,33 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +exports.imageGenerator = imageGenerator + +const jimp = require('jimp') +const path = require('path') + +function imageGenerator(args) { + const directory = args.directory + const fileName = args.fileName + const width = args.width + const height = args.height + const color = args.color + const posX = args.posX + const posY = args.posY + const message = args.message + const file = path.join(directory, fileName) + return new Promise((resolve, reject) => { + const image = new jimp(width, height, color, function (err, image) { + if (err) reject(err) + jimp.loadFont(jimp.FONT_SANS_64_BLACK, function (err, font) { + if (err) reject(err) + image.print(font, Number(posX), Number(posY), message) + .write(file) + }) + }) + setTimeout(() => resolve(null), '1000') + }) +} diff --git a/tests/cypress/plugins/imageGenerator/imageGeneratorCommand.js b/tests/cypress/plugins/imageGenerator/imageGeneratorCommand.js new file mode 100644 index 00000000..b51b6e23 --- /dev/null +++ b/tests/cypress/plugins/imageGenerator/imageGeneratorCommand.js @@ -0,0 +1,25 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +Cypress.Commands.add('imageGenerator', (directory, + fileName, + width, + height, + color, + posX, + posY, + message) => { + return cy.task('imageGenerator', { + directory: directory, + fileName: fileName, + width: width, + height: height, + color: color, + posX: posX, + posY: posY, + message: message + }) +}) diff --git a/tests/cypress/plugins/index.js b/tests/cypress/plugins/index.js new file mode 100644 index 00000000..8e09a2cf --- /dev/null +++ b/tests/cypress/plugins/index.js @@ -0,0 +1,15 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +const {imageGenerator} = require('../plugins/imageGenerator/addPlugin') +const {createZipArchive} = require('../plugins/createZipArchive/addPlugin') + +module.exports = (on) => { + on('task', {imageGenerator}) + on('task', {createZipArchive}) +} diff --git a/tests/cypress/support/commands.js b/tests/cypress/support/commands.js new file mode 100644 index 00000000..e0fea571 --- /dev/null +++ b/tests/cypress/support/commands.js @@ -0,0 +1,69 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +/// + +require('cypress-file-upload') +require('../plugins/imageGenerator/imageGeneratorCommand') +require('../plugins/createZipArchive/createZipArchiveCommand') + +Cypress.Commands.add('login', (username='admin', password='12qwaszx') => { + cy.get('[placeholder="Username"]').type(username) + cy.get('[placeholder="Password"]').type(password) + cy.get('[type="submit"]').click() +}) + +Cypress.Commands.add('createAnnotationTask', (taksName='New annotation task', + labelName='Some label', + attrName='Some attr name', + textDefaultValue='Some default value for type Text', + image='image.png') => { + cy.contains('button', 'Create new task').click() + cy.url().should('include', '/tasks/create') + cy.get('[id="name"]').type(taksName) + cy.contains('button', 'Add label').click() + cy.get('[placeholder="Label name"]').type(labelName) + cy.contains('button', 'Add an attribute').click() + cy.get('[placeholder="Name"]').type(attrName) + cy.get('div[title="Select"]').click() + cy.get('li').contains('Text').click() + cy.get('[placeholder="Default value"]').type(textDefaultValue) + cy.contains('button', 'Done').click() + cy.get('input[type="file"]').attachFile(image, { subjectType: 'drag-n-drop' }); + cy.contains('button', 'Submit').click() + cy.contains('The task has been created', {timeout: '8000'}) + cy.get('button[value="tasks"]').click() + cy.url().should('include', '/tasks?page=') +}) + +Cypress.Commands.add('openTask', (taskName) => { + cy.contains('strong', taskName) + .parents('.cvat-tasks-list-item') + .contains('a', 'Open') + .click() +}) + +Cypress.Commands.add('openJob', () => { + cy.contains('a', 'Job #').click() + cy.url().should('include', '/jobs') +}) + +Cypress.Commands.add('openTaskJob', (taskName) => { + cy.openTask(taskName) + cy.openJob() +}) + +Cypress.Commands.add('createShape', (ferstX, ferstY, lastX, lastY) => { + cy.get('.cvat-draw-rectangle-control').click() + cy.get('.cvat-draw-shape-popover-content') + .find('button') + .contains('Shape') + .click({force: true}) + cy.get('.cvat-canvas-container') + .click(ferstX, ferstY) + cy.get('.cvat-canvas-container') + .click(lastX, lastY) +}) diff --git a/tests/cypress/support/index.js b/tests/cypress/support/index.js new file mode 100644 index 00000000..bf9295aa --- /dev/null +++ b/tests/cypress/support/index.js @@ -0,0 +1,7 @@ +/* + * Copyright (C) 2020 Intel Corporation + * + * SPDX-License-Identifier: MIT + */ + +import './commands' diff --git a/tests/eslintrc.conf.js b/tests/eslintrc.conf.js deleted file mode 100644 index cd04f937..00000000 --- a/tests/eslintrc.conf.js +++ /dev/null @@ -1,131 +0,0 @@ -/* - * Copyright (C) 2018 Intel Corporation - * - * SPDX-License-Identifier: MIT - */ - -module.exports = { - 'env': { - 'browser': true, - 'es6': true, - 'jquery': true, - 'qunit': true, - }, - "extends": "eslint:recommended", - 'rules': { - 'indent': [ - 'warn', - 4 - ], - 'linebreak-style': [ - 'error', - 'unix' - ], - 'semi': [ - 'warn' - ], - 'no-extra-semi': [ - 'warn' - ], - 'no-console': [ - 'warn' - ], - }, - 'globals': { - // from attributeAnnotationMode.js - 'AAMController': true, - 'AAMModel': true, - 'AAMView': true, - 'AAMUndefinedKeyword': true, - // from annotationParser.js - 'AnnotationParser': true, - // from annotationUI.js - 'callAnnotationUI': true, - 'blurAllElements': true, - 'drawBoxSize': true, - 'copyToClipboard': true, - // from base.js - 'showMessage': true, - 'showOverlay': true, - 'confirm': true, - 'dumpAnnotationRequest': true, - 'createExportContainer': true, - 'ExportType': true, - 'getExportTargetContainer': true, - // from idGenerator.js - 'IncrementIdGenerator': true, - 'ConstIdGenerator': true, - // from shapeCollection.js - 'ShapeCollectionModel': true, - 'ShapeCollectionController': true, - 'ShapeCollectionView': true, - // from shapeCreator.js - 'ShapeCreatorModel': true, - 'ShapeCreatorController': true, - 'ShapeCreatorView': true, - // from shapeGrouper.js - 'ShapeGrouperModel': true, - 'ShapeGrouperController': true, - 'ShapeGrouperView': true, - // from labelsInfo.js - 'LabelsInfo': true, - // from listener.js - 'Listener': true, - // from logger.js - 'Logger': true, - // from shapeMerger.js - 'ShapeMergerModel': true, - 'ShapeMergerController': true, - 'ShapeMergerView': true, - // from shapes.js - 'PolyShapeModel': true, - 'PolyShapeView': true, - 'buildShapeModel': true, - 'buildShapeController': true, - 'buildShapeView': true, - 'STROKE_WIDTH': true, - 'POINT_RADIUS': true, - 'AREA_TRESHOLD': true, - 'SELECT_POINT_STROKE_WIDTH': true, - // from mousetrap.js - 'Mousetrap': true, - // from platform.js - 'platform': true, - // from player.js - 'PlayerController': true, - 'PlayerModel': true, - 'PlayerView': true, - // from server.js - 'serverRequest': true, - 'saveJobRequest': true, - // from shapeBuffer.js - 'ShapeBufferController': true, - 'ShapeBufferModel': true, - 'ShapeBufferView': true, - // from trackFilter.js - 'FilterModel': true, - 'FilterController': true, - 'FilterView': true, - // from shapeSplitter.js - 'ShapeSplitter': true, - // from userConfig.js - 'Config': true, - // from cookies.js - 'Cookies': true, - // from dashboard django template - 'maxUploadCount': true, - 'maxUploadSize': true, - // from SVG.js - 'SVG': true, - // from history.js - 'HistoryModel': true, - 'HistoryController': true, - 'HistoryView': true, - // from polyshapeEditor.js - 'PolyshapeEditorModel': true, - 'PolyshapeEditorController': true, - 'PolyshapeEditorView': true, - // from coordinateTranslator - 'CoordinateTranslator': true, - }, -}; diff --git a/tests/karma.conf.js b/tests/karma.conf.js deleted file mode 100644 index 8e28f656..00000000 --- a/tests/karma.conf.js +++ /dev/null @@ -1,68 +0,0 @@ -/* - * Copyright (C) 2018 Intel Corporation - * - * SPDX-License-Identifier: MIT - */ - -const path = require('path'); -module.exports = function(config) { - config.set({ - basePath: path.join(process.env.HOME, 'cvat/apps/'), - frameworks: ['qunit'], - files: [ - 'engine/static/engine/js/labelsInfo.js', - 'engine/static/engine/js/annotationParser.js', - 'engine/static/engine/js/listener.js', - 'engine/static/engine/js/player.js', - 'engine/static/engine/js/shapes.js', - 'engine/static/engine/js/qunitTests.js', - ], - port: 9876, - colors: true, - autoWatch: false, - browsers: ['ChromeNoSandbox'], - - // Continuous Integration mode - // if true, Karma captures browsers, runs the tests and exits - singleRun: true, - - // Concurrency level - // how many browser should be started simultanous - concurrency: Infinity, - - preprocessors: { - '**/!(qunitTests).js': ['coverage'] - }, - - reporters: ['progress', 'junit', 'coverage', 'coveralls'], - - coverageReporter: { - dir: path.join(process.env.HOME, 'media/coverage'), - reporters: [ - { type: 'html', subdir: '.' }, { type: 'lcov', subdir: '.' } - ], - instrumenterOptions: 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"^2.0.3", + "string_decoder": "^1.1.1", + "util-deprecate": "^1.0.1" + } + } + } + } + } +} diff --git a/tests/package.json b/tests/package.json new file mode 100644 index 00000000..5861f8d3 --- /dev/null +++ b/tests/package.json @@ -0,0 +1,10 @@ +{ + "devDependencies": { + "cypress": "^4.12.1", + "cypress-file-upload": "^4.0.7" + }, + "dependencies": { + "archiver": "^5.0.0", + "jimp": "^0.14.0" + } +} diff --git a/tests/run_js_linter.sh b/tests/run_js_linter.sh deleted file mode 100644 index a0685185..00000000 --- a/tests/run_js_linter.sh +++ /dev/null @@ -1,15 +0,0 @@ -#!/bin/bash -# -# Copyright (C) 2018 Intel Corporation -# -# SPDX-License-Identifier: MIT -# - -eslint -c ~/tests/eslintrc.conf.js -f ~/tests/node_modules/eslint-detailed-reporter/lib/detailed-multi.js \ - ~/cvat/apps/**/static/**/js/*.js -o ./report.html -ret_code=$? - -mkdir -p ~/media/eslint -mv -t ~/media/eslint main.js styles.css report.html - -exit $ret_code diff --git a/utils/README.md b/utils/README.md index a768eedf..48b87c96 100644 --- a/utils/README.md +++ b/utils/README.md @@ -3,6 +3,6 @@ ## Description -This folder contains some useful utilities for Computer Vision Annotation Tool (CVAT). To read about a certain utility please choose a link: - [Auto Annotation Runner](auto_annotation/README.md) +This folder contains some useful utilities for Computer Vision Annotation Tool (CVAT). +To read about a certain utility please choose a link: - [Command line interface for working with CVAT tasks](cli/README.md) diff --git a/utils/auto_annotation/README.md b/utils/auto_annotation/README.md deleted file mode 100644 index 4bc64654..00000000 --- a/utils/auto_annotation/README.md +++ /dev/null @@ -1,95 +0,0 @@ -# Auto Annotation Runner - -A small command line program to test and run AutoAnnotation Scripts. - -## Instructions - -There are two modes to run this script in. If you already have a model uploaded into the server, and you're having -issues with running it in production, you can pass in the model name and a task id that you want to test against. - -```shell -# Note that this module can be found in cvat/utils/auto_annotation/run_model.py -$ python /path/to/run_model.py --model-name mymodel --task-id 4 -``` - -If you're running in docker, this can be useful way to debug your model. - -``` shell -$ docker exec -it cvat bash -ic 'python3 ~/cvat/apps/auto_annotation/run_model.py --model-name my-model --task-id 4 -``` - -If you are developing an auto annotation model or you can't get something uploaded into the server, -then you'll need to specify the individual inputs. - -```shell -# Note that this module can be found in cvat/utils/auto_annotation/run_model.py -$ python path/to/run_model.py --py /path/to/python/interp.py \ - --xml /path/to/xml/file.xml \ - --bin /path/to/bin/file.bin \ - --json /path/to/json/mapping/mapping.json -``` - -Some programs need to run unrestricted or as an administer. Use the `--unrestriced` flag to simulate. - -You can pass image files in to fully simulate your findings. Images are passed in as a list - -```shell -$ python /path/to/run_model.py --py /path/to/python/interp.py \ - --xml /path/to/xml/file.xml \ - --bin /path/to/bin/file.bin \ - --json /path/to/json/mapping/mapping.json \ - --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg -``` - -Additionally, it's sometimes useful to visualize your images. -Use the `--show-images` flag to have each image with the annotations pop up. - -```shell -$ python /path/to/run_model.py --py /path/to/python/interp.py \ - --xml /path/to/xml/file.xml \ - --bin /path/to/bin/file.bin \ - --json /path/to/json/mapping/mapping.json \ - --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg \ - --show-images -``` - -If you'd like to see the labels printed on the image, use the `--show-labels` flag - -```shell -$ python /path/to/run_model.py --py /path/to/python/interp.py \ - --xml /path/to/xml/file.xml \ - --bin /path/to/bin/file.bin \ - --json /path/to/json/mapping/mapping.json \ - --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg \ - --show-images \ - --show-labels -``` - -There's a command that let's you scan quickly by setting the length of time (in milliseconds) to display each image. -Use the `--show-image-delay` flag and set the appropriate time. -In this example, 2000 milliseconds is 2 seconds for each image. - -```shell -# Display each image in a window for 2 seconds -$ python /path/to/run_model.py --py /path/to/python/interp.py \ - --xml /path/to/xml/file.xml \ - --bin /path/to/bin/file.bin \ - --json /path/to/json/mapping/mapping.json \ - --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg \ - --show-images \ - --show-image-delay 2000 -``` - -Visualization isn't always enough. -The CVAT has a serialization step that can throw errors on model upload even after successful visualization. -You must install the necessary packages installed, but then you can add the `--serialize` command to ensure that your -results will serialize correctly. - -```shell -$ python /path/to/run_model.py --py /path/to/python/interp.py \ - --xml /path/to/xml/file.xml \ - --bin /path/to/bin/file.bin \ - --json /path/to/json/mapping/mapping.json \ - --image-files /path/to/img.jpg /path2/to/img2.png /path/to/img3.jpg \ - --serialize -``` diff --git a/utils/auto_annotation/run_model.py b/utils/auto_annotation/run_model.py deleted file mode 100644 index 9df63528..00000000 --- a/utils/auto_annotation/run_model.py +++ /dev/null @@ -1,263 +0,0 @@ -import os -import sys -import json -import argparse -import random -import logging -import fnmatch -from operator import xor - -import numpy as np -import cv2 - -work_dir = os.path.dirname(os.path.abspath(__file__)) -cvat_dir = os.path.join(work_dir, '..', '..') - -sys.path.insert(0, cvat_dir) - -from cvat.apps.auto_annotation.inference import run_inference_engine_annotation - - -def _get_kwargs(): - parser = argparse.ArgumentParser() - parser.add_argument('--py', help='Path to the python interpt file') - parser.add_argument('--xml', help='Path to the xml file') - parser.add_argument('--bin', help='Path to the bin file') - parser.add_argument('--json', help='Path to the JSON mapping file') - - parser.add_argument('--model-name', help='Name of the model in the Model Manager') - parser.add_argument('--task-id', type=int, help='ID task used to test the model') - - parser.add_argument('--restricted', dest='restricted', action='store_true') - parser.add_argument('--unrestricted', dest='restricted', action='store_false') - parser.add_argument('--image-files', nargs='*', help='Paths to image files you want to test') - - parser.add_argument('--show-images', action='store_true', help='Show the results of the annotation in a window') - parser.add_argument('--show-image-delay', default=0, type=int, help='Displays the images for a set duration in milliseconds, default is until a key is pressed') - parser.add_argument('--serialize', default=False, action='store_true', help='Try to serialize the result') - parser.add_argument('--show-labels', action='store_true', help='Show the labels on the window') - - return vars(parser.parse_args()) - -def _init_django(settings): - import django - os.environ['DJANGO_SETTINGS_MODULE'] = settings - django.setup() - -def random_color(): - rgbl=[255,0,0] - random.shuffle(rgbl) - return tuple(rgbl) - - -def pairwise(iterable): - result = [] - for i in range(0, len(iterable) - 1, 2): - result.append((iterable[i], iterable[i+1])) - return np.array(result, dtype=np.int32) - -def find_min_y(array): - min_ = sys.maxsize - index = None - for i, pair in enumerate(array): - if pair[1] < min_: - min_ = pair[1] - index = i - - return array[index] - -def _get_docker_files(model_name: str, task_id: int): - _init_django('cvat.settings.development') - - from cvat.apps.auto_annotation.models import AnnotationModel - from cvat.apps.engine.models import Task as TaskModel - - task = TaskModel(pk=task_id) - model = AnnotationModel.objects.get(name=model_name) - - images_dir = task.data.get_data_dirname() - - py_file = model.interpretation_file.name - mapping_file = model.labelmap_file.name - xml_file = model.model_file.name - bin_file = model.weights_file.name - - image_files = [] - images_dir = os.path.abspath(images_dir) - for root, _, filenames in os.walk(images_dir): - for filename in fnmatch.filter(filenames, '*.jpg'): - image_files.append(os.path.join(root, filename)) - - return py_file, mapping_file, bin_file, xml_file, image_files - - -def main(): - kwargs = _get_kwargs() - - py_file = kwargs.get('py') - bin_file = kwargs.get('bin') - mapping_file = os.path.abspath(kwargs.get('json')) - xml_file = kwargs.get('xml') - - model_name = kwargs.get('model_name') - task_id = kwargs.get('task_id') - - is_docker = model_name and task_id - - # xor is `exclusive or`. English is: if one or the other but not both - if xor(bool(model_name), bool(task_id)): - logging.critical('Must provide both `--model-name` and `--task-id` together!') - return - - if is_docker: - files = _get_docker_files(model_name, task_id) - py_file = files[0] - mapping_file = files[1] - bin_file = files[2] - xml_file = files[3] - image_files = files[4] - else: - return_ = False - if not py_file: - logging.critical('Must provide --py file!') - return_ = True - if not bin_file: - logging.critical('Must provide --bin file!') - return_ = True - if not xml_file: - logging.critical('Must provide --xml file!') - return_ = True - if not mapping_file: - logging.critical('Must provide --json file!') - return_ = True - - if return_: - return - - if not os.path.isfile(py_file): - logging.critical('Py file not found! Check the path') - return - - if not os.path.isfile(bin_file): - logging.critical('Bin file is not found! Check path!') - return - - if not os.path.isfile(xml_file): - logging.critical('XML File not found! Check path!') - return - - if not os.path.isfile(mapping_file): - logging.critical('JSON file is not found! Check path!') - return - - with open(mapping_file) as json_file: - try: - mapping = json.load(json_file) - except json.decoder.JSONDecodeError: - logging.critical('JSON file not able to be parsed! Check file') - return - - try: - mapping = mapping['label_map'] - except KeyError: - logging.critical("JSON Mapping file must contain key `label_map`!") - logging.critical("Exiting") - return - - mapping = {int(k): v for k, v in mapping.items()} - - restricted = kwargs['restricted'] - - if not is_docker: - image_files = kwargs.get('image_files') - - if image_files: - image_data = [cv2.imread(f) for f in image_files] - else: - test_image = np.ones((1024, 1980, 3), np.uint8) * 255 - image_data = [test_image,] - attribute_spec = {} - - results = run_inference_engine_annotation(image_data, - xml_file, - bin_file, - mapping, - attribute_spec, - py_file, - restricted=restricted) - - - logging.warning('Inference didn\'t have any errors.') - show_images = kwargs.get('show_images', False) - - if show_images: - if image_files is None: - logging.critical("Warning, no images provided!") - logging.critical('Exiting without presenting results') - return - - if not results['shapes']: - logging.warning(str(results)) - logging.critical("No objects detected!") - return - - show_image_delay = kwargs['show_image_delay'] - show_labels = kwargs.get('show_labels') - - for index, data in enumerate(image_data): - for detection in results['shapes']: - if not detection['frame'] == index: - continue - points = detection['points'] - label_str = detection['label_id'] - - # Cv2 doesn't like floats for drawing - points = [int(p) for p in points] - color = random_color() - - if detection['type'] == 'rectangle': - cv2.rectangle(data, (points[0], points[1]), (points[2], points[3]), color, 3) - - if show_labels: - cv2.putText(data, label_str, (points[0], points[1] - 7), cv2.FONT_HERSHEY_COMPLEX, 0.6, color, 1) - - elif detection['type'] in ('polygon', 'polyline'): - # polylines is picky about datatypes - points = pairwise(points) - cv2.polylines(data, [points], 1, color) - - if show_labels: - min_point = find_min_y(points) - cv2.putText(data, label_str, (min_point[0], min_point[1] - 7), cv2.FONT_HERSHEY_COMPLEX, 0.6, color, 1) - - cv2.imshow(str(index), data) - cv2.waitKey(show_image_delay) - cv2.destroyWindow(str(index)) - - if kwargs['serialize']: - _init_django('cvat.settings.production') - - from cvat.apps.engine.serializers import LabeledDataSerializer - - # NOTE: We're actually using `run_inference_engine_annotation` - # incorrectly here. The `mapping` dict is supposed to be a mapping - # of integers -> integers and represents the transition from model - # integers to the labels in the database. We're using a mapping of - # integers -> strings. For testing purposes, this shortcut is fine. - # We just want to make sure everything works. Until, that is.... - # we want to test using the label serializer. Then we have to transition - # back to integers, otherwise the serializer complains about have a string - # where an integer is expected. We'll just brute force that. - - for shape in results['shapes']: - # Change the english label to an integer for serialization validation - shape['label_id'] = 1 - - serializer = LabeledDataSerializer(data=results) - - if not serializer.is_valid(): - logging.critical('Data unable to be serialized correctly!') - serializer.is_valid(raise_exception=True) - -if __name__ == '__main__': - main() diff --git a/utils/cli/README.md b/utils/cli/README.md index 07b708d7..f582e2e3 100644 --- a/utils/cli/README.md +++ b/utils/cli/README.md @@ -31,6 +31,8 @@ optional arguments: host (default: localhost) --server-port SERVER_PORT port (default: 8080) + --https + using https connection (default: False) --debug show debug output ``` **Examples** diff --git a/utils/cli/cli.py b/utils/cli/cli.py index 9ac826b4..ae08ad1a 100755 --- a/utils/cli/cli.py +++ b/utils/cli/cli.py @@ -28,7 +28,7 @@ def main(): args = parser.parse_args() config_log(args.loglevel) with requests.Session() as session: - api = CVAT_API_V1('%s:%s' % (args.server_host, args.server_port)) + api = CVAT_API_V1('%s:%s' % (args.server_host, args.server_port), args.https) cli = CLI(session, api, args.auth) try: actions[args.action](cli, **args.__dict__) diff --git a/utils/cli/core/core.py b/utils/cli/core/core.py index a5136428..78a2776c 100644 --- a/utils/cli/core/core.py +++ b/utils/cli/core/core.py @@ -58,7 +58,7 @@ class CLI(): response = self.session.get(url) response.raise_for_status() - def tasks_create(self, name, labels, bug, resource_type, resources, + def tasks_create(self, name, labels, overlap, segment_size, bug, resource_type, resources, annotation_path='', annotation_format='CVAT XML 1.1', completion_verification_period=20, **kwargs): """ Create a new task with the given name and labels JSON and @@ -66,6 +66,8 @@ class CLI(): url = self.api.tasks data = {'name': name, 'labels': labels, + 'overlap': overlap, + 'segment_size': segment_size, 'bug_tracker': bug, } response = self.session.post(url, json=data) @@ -179,8 +181,9 @@ class CLI(): class CVAT_API_V1(): """ Build parameterized API URLs """ - def __init__(self, host): - self.base = 'http://{}/api/v1/'.format(host) + def __init__(self, host, https=False): + prefix = 'https' if https else 'http' + self.base = '{}://{}/api/v1/'.format(prefix, host) @property def tasks(self): diff --git a/utils/cli/core/definition.py b/utils/cli/core/definition.py index d8892d19..c30eae07 100644 --- a/utils/cli/core/definition.py +++ b/utils/cli/core/definition.py @@ -78,6 +78,12 @@ parser.add_argument( default='8080', help='port (default: %(default)s)' ) +parser.add_argument( + '--https', + default=False, + action='store_true', + help='using https connection (default: %(default)s)' +) parser.add_argument( '--debug', action='store_const', @@ -106,6 +112,18 @@ task_create_parser.add_argument( type=parse_label_arg, help='string or file containing JSON labels specification' ) +task_create_parser.add_argument( + '--overlap', + default=0, + type=int, + help='the number of intersected frames between different segments' +) +task_create_parser.add_argument( + '--segment_size', + default=0, + type=int, + help='the number of frames in a segment' +) task_create_parser.add_argument( '--bug', default='', diff --git a/utils/cli/tests/_test_cli.py b/utils/cli/tests/_test_cli.py index 3977159c..a792633d 100644 --- a/utils/cli/tests/_test_cli.py +++ b/utils/cli/tests/_test_cli.py @@ -27,7 +27,7 @@ class TestCLI(APITestCase): self.taskname = 'test_task' self.cli.tasks_create(self.taskname, [{'name' : 'car'}, {'name': 'person'}], - '', + 0, 0, '', ResourceType.LOCAL, [self.img_file]) # redirect logging to mocked stdout to test program output diff --git a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0001/mappings.json b/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0001/mappings.json deleted file mode 100644 index f6a0aa87..00000000 --- a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0001/mappings.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "label_map": { - "1": "text" - } -} diff --git a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0001/pixel_link_mobilenet_v2.py b/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0001/pixel_link_mobilenet_v2.py deleted file mode 100644 index 77297cab..00000000 --- a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0001/pixel_link_mobilenet_v2.py +++ /dev/null @@ -1,192 +0,0 @@ -import cv2 -import numpy as np - - -class PixelLinkDecoder(): - def __init__(self): - four_neighbours = False - if four_neighbours: - self._get_neighbours = self._get_neighbours_4 - else: - self._get_neighbours = self._get_neighbours_8 - self.pixel_conf_threshold = 0.8 - self.link_conf_threshold = 0.8 - - def decode(self, height, width, detections: dict): - self.image_height = height - self.image_width = width - self.pixel_scores = self._set_pixel_scores(detections['pixel_cls/add_2']) - self.link_scores = self._set_link_scores(detections['pixel_link/add_2']) - - self.pixel_mask = self.pixel_scores >= self.pixel_conf_threshold - self.link_mask = self.link_scores >= self.link_conf_threshold - self.points = list(zip(*np.where(self.pixel_mask))) - self.h, self.w = np.shape(self.pixel_mask) - self.group_mask = dict.fromkeys(self.points, -1) - self.bboxes = None - self.root_map = None - self.mask = None - - self._decode() - - def _softmax(self, x, axis=None): - return np.exp(x - self._logsumexp(x, axis=axis, keepdims=True)) - - def _logsumexp(self, a, axis=None, b=None, keepdims=False, return_sign=False): - if b is not None: - a, b = np.broadcast_arrays(a, b) - if np.any(b == 0): - a = a + 0. # promote to at least float - a[b == 0] = -np.inf - - a_max = np.amax(a, axis=axis, keepdims=True) - - if a_max.ndim > 0: - a_max[~np.isfinite(a_max)] = 0 - elif not np.isfinite(a_max): - a_max = 0 - - if b is not None: - b = np.asarray(b) - tmp = b * np.exp(a - a_max) - else: - tmp = np.exp(a - a_max) - - # suppress warnings about log of zero - with np.errstate(divide='ignore'): - s = np.sum(tmp, axis=axis, keepdims=keepdims) - if return_sign: - sgn = np.sign(s) - s *= sgn # /= makes more sense but we need zero -> zero - out = np.log(s) - - if not keepdims: - a_max = np.squeeze(a_max, axis=axis) - out += a_max - - if return_sign: - return out, sgn - else: - return out - - def _set_pixel_scores(self, pixel_scores): - "get softmaxed properly shaped pixel scores" - tmp = np.transpose(pixel_scores, (0, 2, 3, 1)) - return self._softmax(tmp, axis=-1)[0, :, :, 1] - - def _set_link_scores(self, link_scores): - "get softmaxed properly shaped links scores" - tmp = np.transpose(link_scores, (0, 2, 3, 1)) - tmp_reshaped = tmp.reshape(tmp.shape[:-1] + (8, 2)) - return self._softmax(tmp_reshaped, axis=-1)[0, :, :, :, 1] - - def _find_root(self, point): - root = point - update_parent = False - tmp = self.group_mask[root] - while tmp is not -1: - root = tmp - tmp = self.group_mask[root] - update_parent = True - if update_parent: - self.group_mask[point] = root - return root - - def _join(self, p1, p2): - root1 = self._find_root(p1) - root2 = self._find_root(p2) - if root1 != root2: - self.group_mask[root2] = root1 - - def _get_index(self, root): - if root not in self.root_map: - self.root_map[root] = len(self.root_map) + 1 - return self.root_map[root] - - def _get_all(self): - self.root_map = {} - self.mask = np.zeros_like(self.pixel_mask, dtype=np.int32) - - for point in self.points: - point_root = self._find_root(point) - bbox_idx = self._get_index(point_root) - self.mask[point] = bbox_idx - - def _get_neighbours_8(self, x, y): - w, h = self.w, self.h - tmp = [(0, x - 1, y - 1), (1, x, y - 1), - (2, x + 1, y - 1), (3, x - 1, y), - (4, x + 1, y), (5, x - 1, y + 1), - (6, x, y + 1), (7, x + 1, y + 1)] - - return [i for i in tmp if i[1] >= 0 and i[1] < w and i[2] >= 0 and i[2] < h] - - def _get_neighbours_4(self, x, y): - w, h = self.w, self.h - tmp = [(1, x, y - 1), - (3, x - 1, y), - (4, x + 1, y), - (6, x, y + 1)] - - return [i for i in tmp if i[1] >= 0 and i[1] < w and i[2] >= 0 and i[2] < h] - - def _mask_to_bboxes(self, min_area=300, min_height=10): - self.bboxes = [] - max_bbox_idx = self.mask.max() - mask_tmp = cv2.resize(self.mask, (self.image_width, self.image_height), interpolation=cv2.INTER_NEAREST) - - for bbox_idx in range(1, max_bbox_idx + 1): - bbox_mask = mask_tmp == bbox_idx - cnts, _ = cv2.findContours(bbox_mask.astype(np.uint8), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) - if len(cnts) == 0: - continue - cnt = cnts[0] - rect, w, h = self._min_area_rect(cnt) - if min(w, h) < min_height: - continue - if w * h < min_area: - continue - self.bboxes.append(self._order_points(rect)) - - def _min_area_rect(self, cnt): - rect = cv2.minAreaRect(cnt) - w, h = rect[1] - box = cv2.boxPoints(rect) - box = np.int0(box) - return box, w, h - - def _order_points(self, rect): - """ (x, y) - Order: TL, TR, BR, BL - """ - tmp = np.zeros_like(rect) - sums = rect.sum(axis=1) - tmp[0] = rect[np.argmin(sums)] - tmp[2] = rect[np.argmax(sums)] - diff = np.diff(rect, axis=1) - tmp[1] = rect[np.argmin(diff)] - tmp[3] = rect[np.argmax(diff)] - return tmp - - def _decode(self): - for point in self.points: - y, x = point - neighbours = self._get_neighbours(x, y) - for n_idx, nx, ny in neighbours: - link_value = self.link_mask[y, x, n_idx] - pixel_cls = self.pixel_mask[ny, nx] - if link_value and pixel_cls: - self._join(point, (ny, nx)) - - self._get_all() - self._mask_to_bboxes() - - -label = 1 -pcd = PixelLinkDecoder() -for detection in detections: - frame = detection['frame_id'] - pcd.decode(detection['frame_height'], detection['frame_width'], detection['detections']) - for box in pcd.bboxes: - box = [[int(b[0]), int(b[1])] for b in box] - results.add_polygon(box, label, frame) diff --git a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0004/mappings.json b/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0004/mappings.json deleted file mode 100644 index f6a0aa87..00000000 --- a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/0004/mappings.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "label_map": { - "1": "text" - } -} diff --git a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/README.md b/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/README.md deleted file mode 100644 index c7bac387..00000000 --- a/utils/open_model_zoo/Retail/object_detection/text/pixel_link_mobilenet_v2/README.md +++ /dev/null @@ -1,5 +0,0 @@ -# Pixel Link - -* Model for the Detecting Scene Text vai Instance Segmentation -* Download using the `intel_model_zoo` using `$./downloader.py text-detection-0002` -* See [this Arxiv](https://arxiv.org/abs/1801.01315) link for the technical details diff --git a/utils/open_model_zoo/Transportation/semantic-segmentation-adas/interp.py b/utils/open_model_zoo/Transportation/semantic-segmentation-adas/interp.py deleted file mode 100644 index 58a87fa3..00000000 --- a/utils/open_model_zoo/Transportation/semantic-segmentation-adas/interp.py +++ /dev/null @@ -1,31 +0,0 @@ -import numpy as np -from skimage.measure import approximate_polygon, find_contours - -import cv2 - - -for frame_results in detections: - frame_height = frame_results['frame_height'] - frame_width = frame_results['frame_width'] - frame_number = frame_results['frame_id'] - detection = frame_results['detections'] - detection = detection[0, 0, :, :] - width, height = detection.shape - - for i in range(21): - zero = np.zeros((width,height),dtype=np.uint8) - - f = float(i) - zero = ((detection == f) * 255).astype(np.float32) - zero = cv2.resize(zero, dsize=(frame_width, frame_height), interpolation=cv2.INTER_CUBIC) - - contours = find_contours(zero, 0.8) - - for contour in contours: - contour = np.flip(contour, axis=1) - contour = approximate_polygon(contour, tolerance=2.5) - segmentation = contour.tolist() - if len(segmentation) < 3: - continue - - results.add_polygon(segmentation, i, frame_number) diff --git a/utils/open_model_zoo/Transportation/semantic-segmentation-adas/mapping.json b/utils/open_model_zoo/Transportation/semantic-segmentation-adas/mapping.json deleted file mode 100644 index cbda289d..00000000 --- a/utils/open_model_zoo/Transportation/semantic-segmentation-adas/mapping.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "label_map": { - "0": "road", - "1": "sidewalk", - "2": "building", - "3": "wall", - "4": "fence", - "5": "pole", - "6": "traffic light", - "7": "traffic sign", - "8": "vegetation", - "9": "terrain", - "10": "sky", - "11": "person", - "12": "rider", - "13": "car", - "14": "truck", - "15": "bus", - "16": "train", - "17": "motorcycle", - "18": "bicycle", - "19": "ego-vehicle", - "20": "background" - } -} diff --git a/utils/open_model_zoo/faster_rcnn_inception_v2_coco/README.md b/utils/open_model_zoo/faster_rcnn_inception_v2_coco/README.md deleted file mode 100644 index a6ede445..00000000 --- a/utils/open_model_zoo/faster_rcnn_inception_v2_coco/README.md +++ /dev/null @@ -1,6 +0,0 @@ -# Faster R-CNN with Inception v2 (https://arxiv.org/pdf/1801.04381.pdf) pre-trained on the COCO dataset - -### What is it? -* This application allows you automatically to annotate many various objects on images. -* It uses [Faster RCNN Inception Resnet v2 Atrous Coco Model](http://download.tensorflow.org/models/object_detection/faster_rcnn_inception_resnet_v2_atrous_coco_2018_01_28.tar.gz) from [tensorflow detection model zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md) -* It can work on CPU (with Tensorflow or OpenVINO) or GPU (with Tensorflow GPU). diff --git a/utils/open_model_zoo/faster_rcnn_inception_v2_coco/interp.py b/utils/open_model_zoo/faster_rcnn_inception_v2_coco/interp.py deleted file mode 100644 index f8a8a602..00000000 --- a/utils/open_model_zoo/faster_rcnn_inception_v2_coco/interp.py +++ /dev/null @@ -1,19 +0,0 @@ -threshold = .5 - -for detection in detections: - frame_number = detection['frame_id'] - height = detection['frame_height'] - width = detection['frame_width'] - detection = detection['detections'] - - prediction = detection[0][0] - for obj in prediction: - obj_class = int(obj[1]) - obj_value = obj[2] - if obj_value >= threshold: - x = obj[3] * width - y = obj[4] * height - right = obj[5] * width - bottom = obj[6] * height - - results.add_box(x, y, right, bottom, obj_class, frame_number) diff --git a/utils/open_model_zoo/faster_rcnn_inception_v2_coco/mapping.json b/utils/open_model_zoo/faster_rcnn_inception_v2_coco/mapping.json deleted file mode 100644 index 3efdb307..00000000 --- a/utils/open_model_zoo/faster_rcnn_inception_v2_coco/mapping.json +++ /dev/null @@ -1,84 +0,0 @@ -{ - "label_map": { - "1": "person", - "2": "bicycle", - "3": "car", - "4": "motorcycle", - "5": "airplane", - "6": "bus", - "7": "train", - "8": "truck", - "9": "boat", - "10": "traffic_light", - "11": "fire_hydrant", - "13": "stop_sign", - "14": "parking_meter", - "15": "bench", - "16": "bird", - "17": "cat", - "18": "dog", - "19": "horse", - "20": "sheep", - "21": "cow", - "22": "elephant", - "23": "bear", - "24": "zebra", - "25": "giraffe", - "27": "backpack", - "28": "umbrella", - "31": "handbag", - "32": "tie", - "33": "suitcase", - "34": "frisbee", - "35": "skis", - "36": "snowboard", - "37": "sports_ball", - "38": "kite", - "39": "baseball_bat", - "40": "baseball_glove", - "41": "skateboard", - "42": "surfboard", - "43": "tennis_racket", - "44": "bottle", - "46": "wine_glass", - "47": "cup", - "48": "fork", - "49": "knife", - "50": "spoon", - "51": "bowl", - "52": "banana", - "53": "apple", - "54": "sandwich", - "55": "orange", - "56": "broccoli", - "57": "carrot", - "58": "hot_dog", - "59": "pizza", - "60": "donut", - "61": "cake", - "62": "chair", - "63": "couch", - "64": "potted_plant", - "65": "bed", - "67": "dining_table", - "70": "toilet", - "72": "tv", - "73": "laptop", - "74": "mouse", - "75": "remote", - "76": "keyboard", - "77": "cell_phone", - "78": "microwave", - "79": "oven", - "80": "toaster", - "81": "sink", - "83": "refrigerator", - "84": "book", - "85": "clock", - "86": "vase", - "87": "scissors", - "88": "teddy_bear", - "89": "hair_drier", - "90": "toothbrush" - } -} diff --git a/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/README.md b/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/README.md deleted file mode 100644 index be7a8212..00000000 --- a/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/README.md +++ /dev/null @@ -1,32 +0,0 @@ -# mask_rcnn_inception_resnet_v2_atrous_coco - -## Use Case and High-Level Description - -Mask R-CNN Inception Resnet V2 Atrous is trained on COCO dataset and used for object instance segmentation. -For details, see a [paper](https://arxiv.org/pdf/1703.06870.pdf). - -## Specification - -| Metric | Value | -|---------------------------------|-------------------------------------------| -| Type | Instance segmentation | -| GFlops | 675.314 | -| MParams | 92.368 | -| Source framework | TensorFlow\* | - -## Legal Information - -[https://raw.githubusercontent.com/tensorflow/models/master/LICENSE]() - -## OpenVINO Conversion Notes - -In order to convert the code into the openvino format, please see the [following link](https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_Object_Detection_API_Models.html#mask_r_cnn_topologies). - -The conversion command from the command line prompt will look something like the following. - -```shell -$ python /opt/intel/openvino/deployment_tools/model_optimizer/mo_tf.py \ - --input_model /path/to/frozen_inference_graph.pb \ - --tensorflow_use_custom_operations_config /opt/intel/openvino/deployment_tools/model_optimizer/extensions/front/tf/mask_rcnn_support.json \ - --tensorflow_object_detection_api_pipeline_config /path/to/pipeline.config -``` diff --git a/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/interp.py b/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/interp.py deleted file mode 100644 index 6625a834..00000000 --- a/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/interp.py +++ /dev/null @@ -1,64 +0,0 @@ -import numpy as np -import cv2 -from skimage.measure import approximate_polygon, find_contours - - -MASK_THRESHOLD = .5 -PROBABILITY_THRESHOLD = 0.2 - - -# Ref: https://software.intel.com/en-us/forums/computer-vision/topic/804895 -def segm_postprocess(box: list, raw_cls_mask, im_h, im_w, threshold): - ymin, xmin, ymax, xmax = box - - width = int(abs(xmax - xmin)) - height = int(abs(ymax - ymin)) - - result = np.zeros((im_h, im_w), dtype=np.uint8) - resized_mask = cv2.resize(raw_cls_mask, dsize=(height, width), interpolation=cv2.INTER_CUBIC) - - # extract the ROI of the image - ymin = int(round(ymin)) - xmin = int(round(xmin)) - ymax = ymin + height - xmax = xmin + width - result[xmin:xmax, ymin:ymax] = (resized_mask>threshold).astype(np.uint8) * 255 - - return result - - -for detection in detections: - frame_number = detection['frame_id'] - height = detection['frame_height'] - width = detection['frame_width'] - detection = detection['detections'] - - masks = detection['masks'] - boxes = detection['reshape_do_2d'] - - for index, box in enumerate(boxes): - label = int(box[1]) - obj_value = box[2] - if obj_value >= PROBABILITY_THRESHOLD: - x = box[3] * width - y = box[4] * height - right = box[5] * width - bottom = box[6] * height - mask = masks[index][label - 1] - - mask = segm_postprocess((x, y, right, bottom), - mask, - height, - width, - MASK_THRESHOLD) - - contours = find_contours(mask, MASK_THRESHOLD) - contour = contours[0] - contour = np.flip(contour, axis=1) - contour = approximate_polygon(contour, tolerance=2.5) - segmentation = contour.tolist() - - - # NOTE: if you want to see the boxes, uncomment next line - # results.add_box(x, y, right, bottom, label, frame_number) - results.add_polygon(segmentation, label, frame_number) diff --git a/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/mapping.json b/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/mapping.json deleted file mode 100644 index 3efdb307..00000000 --- a/utils/open_model_zoo/mask_rcnn_inception_resnet_v2_atrous_coco/mapping.json +++ /dev/null @@ -1,84 +0,0 @@ -{ - "label_map": { - "1": "person", - "2": "bicycle", - "3": "car", - "4": "motorcycle", - "5": "airplane", - "6": "bus", - "7": "train", - "8": "truck", - "9": "boat", - "10": "traffic_light", - "11": "fire_hydrant", - "13": "stop_sign", - "14": "parking_meter", - "15": "bench", - "16": "bird", - "17": "cat", - "18": "dog", - "19": "horse", - "20": "sheep", - "21": "cow", - "22": "elephant", - "23": "bear", - "24": "zebra", - "25": "giraffe", - "27": "backpack", - "28": "umbrella", - "31": "handbag", - "32": "tie", - "33": "suitcase", - "34": "frisbee", - "35": "skis", - "36": "snowboard", - "37": "sports_ball", - "38": "kite", - "39": "baseball_bat", - "40": "baseball_glove", - "41": "skateboard", - "42": "surfboard", - "43": "tennis_racket", - "44": "bottle", - "46": "wine_glass", - "47": "cup", - "48": "fork", - "49": "knife", - "50": "spoon", - "51": "bowl", - "52": "banana", - "53": "apple", - "54": "sandwich", - "55": "orange", - "56": "broccoli", - "57": "carrot", - "58": "hot_dog", - "59": "pizza", - "60": "donut", - "61": "cake", - "62": "chair", - "63": "couch", - "64": "potted_plant", - "65": "bed", - "67": "dining_table", - "70": "toilet", - "72": "tv", - "73": "laptop", - "74": "mouse", - "75": "remote", - "76": "keyboard", - "77": "cell_phone", - "78": "microwave", - "79": "oven", - "80": "toaster", - "81": "sink", - "83": "refrigerator", - "84": "book", - "85": "clock", - "86": "vase", - "87": "scissors", - "88": "teddy_bear", - "89": "hair_drier", - "90": "toothbrush" - } -} diff --git a/utils/open_model_zoo/yolov3/README.md b/utils/open_model_zoo/yolov3/README.md deleted file mode 100644 index 2e47953c..00000000 --- a/utils/open_model_zoo/yolov3/README.md +++ /dev/null @@ -1,22 +0,0 @@ -# Object Detection YOLO V3 Python Demo, Async API Performance Showcase - -See [these instructions][1] for converting the yolo weights to the OpenVino format. - -As of OpenVINO 2019 R3, only tensorflow 1.13 and NetworkX 2.3. -These can be explicitly installed using the following command. - -```bash -python3 -m pip install tensorflow==1.13 networkx==2.3 -``` - - -Additionally, at the time of writing, the model optimizer required an input shape. - -``` bash -python3 mo_tf.py \ - --input_model /path/to/yolo_v3.pb \ - --tensorflow_use_custom_operations_config $MO_ROOT/extensions/front/tf/yolo_v3.json \ - --input_shape [1,416,416,3] -``` - -[1]: https://docs.openvinotoolkit.org/latest/_docs_MO_DG_prepare_model_convert_model_tf_specific_Convert_YOLO_From_Tensorflow.html diff --git a/utils/open_model_zoo/yolov3/interp.py b/utils/open_model_zoo/yolov3/interp.py deleted file mode 100644 index 4c76c854..00000000 --- a/utils/open_model_zoo/yolov3/interp.py +++ /dev/null @@ -1,160 +0,0 @@ -from math import exp - - -class Parser: - IOU_THRESHOLD = 0.4 - PROB_THRESHOLD = 0.5 - - def __init__(self): - self.objects = [] - - def scale_bbox(self, x, y, h, w, class_id, confidence, h_scale, w_scale): - xmin = int((x - w / 2) * w_scale) - ymin = int((y - h / 2) * h_scale) - xmax = int(xmin + w * w_scale) - ymax = int(ymin + h * h_scale) - - return dict(xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, class_id=class_id, confidence=confidence) - - def entry_index(self, side, coord, classes, location, entry): - side_power_2 = side ** 2 - n = location // side_power_2 - loc = location % side_power_2 - return int(side_power_2 * (n * (coord + classes + 1) + entry) + loc) - - def intersection_over_union(self, box_1, box_2): - width_of_overlap_area = min(box_1['xmax'], box_2['xmax']) - max(box_1['xmin'], box_2['xmin']) - height_of_overlap_area = min(box_1['ymax'], box_2['ymax']) - max(box_1['ymin'], box_2['ymin']) - if width_of_overlap_area < 0 or height_of_overlap_area < 0: - area_of_overlap = 0 - else: - area_of_overlap = width_of_overlap_area * height_of_overlap_area - box_1_area = (box_1['ymax'] - box_1['ymin']) * (box_1['xmax'] - box_1['xmin']) - box_2_area = (box_2['ymax'] - box_2['ymin']) * (box_2['xmax'] - box_2['xmin']) - area_of_union = box_1_area + box_2_area - area_of_overlap - if area_of_union == 0: - return 0 - return area_of_overlap / area_of_union - - - def sort_objects(self): - self.objects = sorted(self.objects, key=lambda obj : obj['confidence'], reverse=True) - - for i in range(len(self.objects)): - if self.objects[i]['confidence'] == 0: - continue - for j in range(i + 1, len(self.objects)): - if self.intersection_over_union(self.objects[i], self.objects[j]) > self.IOU_THRESHOLD: - self.objects[j]['confidence'] = 0 - - def parse_yolo_region(self, blob: 'np.ndarray', original_shape: list, params: dict) -> list: - - # YOLO magic numbers - # See: https://github.com/opencv/open_model_zoo/blob/acf297c73db8cb3f68791ae1fad4a7cc4a6039e5/demos/python_demos/object_detection_demo_yolov3_async/object_detection_demo_yolov3_async.py#L61 - num = 3 - coords = 4 - classes = 80 - # ----------------- - - _, _, out_blob_h, out_blob_w = blob.shape - assert out_blob_w == out_blob_h, "Invalid size of output blob. It sould be in NCHW layout and height should " \ - "be equal to width. Current height = {}, current width = {}" \ - "".format(out_blob_h, out_blob_w) - - # ------ Extracting layer parameters -- - orig_im_h, orig_im_w = original_shape - predictions = blob.flatten() - side_square = params['side'] * params['side'] - - # ------ Parsing YOLO Region output -- - for i in range(side_square): - row = i // params['side'] - col = i % params['side'] - for n in range(num): - # -----entry index calcs------ - obj_index = self.entry_index(params['side'], coords, classes, n * side_square + i, coords) - scale = predictions[obj_index] - if scale < self.PROB_THRESHOLD: - continue - box_index = self.entry_index(params['side'], coords, classes, n * side_square + i, 0) - - # Network produces location predictions in absolute coordinates of feature maps. - # Scale it to relative coordinates. - x = (col + predictions[box_index + 0 * side_square]) / params['side'] * 416 - y = (row + predictions[box_index + 1 * side_square]) / params['side'] * 416 - # Value for exp is very big number in some cases so following construction is using here - try: - h_exp = exp(predictions[box_index + 3 * side_square]) - w_exp = exp(predictions[box_index + 2 * side_square]) - except OverflowError: - continue - - w = w_exp * params['anchors'][2 * n] - h = h_exp * params['anchors'][2 * n + 1] - - for j in range(classes): - class_index = self.entry_index(params['side'], coords, classes, n * side_square + i, - coords + 1 + j) - confidence = scale * predictions[class_index] - if confidence < self.PROB_THRESHOLD: - continue - - self.objects.append(self.scale_bbox(x=x, - y=y, - h=h, - w=w, - class_id=j, - confidence=confidence, - h_scale=(orig_im_h/416), - w_scale=(orig_im_w/416))) - - -for detection in detections: - frame_number = detection['frame_id'] - height = detection['frame_height'] - width = detection['frame_width'] - detection = detection['detections'] - - original_shape = (height, width) - - # https://github.com/opencv/open_model_zoo/blob/master/demos/python_demos/object_detection_demo_yolov3_async/object_detection_demo_yolov3_async.py#L72 - anchors = [10,13,16,30,33,23,30,61,62,45,59,119,116,90,156,198,373,326] - conv_6 = {'side': 13, 'mask': [6,7,8]} - conv_14 = {'side': 26, 'mask': [3,4,5]} - conv_22 = {'side': 52, 'mask': [0,1,2]} - - yolo_params = {'detector/yolo-v3/Conv_6/BiasAdd/YoloRegion': conv_6, - 'detector/yolo-v3/Conv_14/BiasAdd/YoloRegion': conv_14, - 'detector/yolo-v3/Conv_22/BiasAdd/YoloRegion': conv_22} - - for conv_net in yolo_params.values(): - mask = conv_net['mask'] - masked_anchors = [] - for idx in mask: - masked_anchors += [anchors[idx * 2], anchors[idx * 2 + 1]] - - conv_net['anchors'] = masked_anchors - - parser = Parser() - - for name, blob in detection.items(): - parser.parse_yolo_region(blob, original_shape, yolo_params[name]) - - parser.sort_objects() - - objects = [] - for obj in parser.objects: - if obj['confidence'] >= parser.PROB_THRESHOLD: - label = obj['class_id'] - xmin = obj['xmin'] - xmax = obj['xmax'] - ymin = obj['ymin'] - ymax = obj['ymax'] - - # Enforcing extra checks for bounding box coordinates - xmin = max(0,xmin) - ymin = max(0,ymin) - xmax = min(xmax,width) - ymax = min(ymax,height) - - results.add_box(xmin, ymin, xmax, ymax, label, frame_number) diff --git a/utils/open_model_zoo/yolov3/mapping.json b/utils/open_model_zoo/yolov3/mapping.json deleted file mode 100644 index bfb65a24..00000000 --- a/utils/open_model_zoo/yolov3/mapping.json +++ /dev/null @@ -1,84 +0,0 @@ -{ - "label_map": { - "0": "person", - "1": "bicycle", - "2": "car", - "3": "motorbike", - "4": "aeroplane", - "5": "bus", - "6": "train", - "7": "truck", - "8": "boat", - "9": "traffic light", - "10": "fire hydrant", - "11": "stop sign", - "12": "parking meter", - "13": "bench", - "14": "bird", - "15": "cat", - "16": "dog", - "17": "horse", - "18": "sheep", - "19": "cow", - "20": "elephant", - "21": "bear", - "22": "zebra", - "23": "giraffe", - "24": "backpack", - "25": "umbrella", - "26": "handbag", - "27": "tie", - "28": "suitcase", - "29": "frisbee", - "30": "skis", - "31": "snowboard", - "32": "sports ball", - "33": "kite", - "34": "baseball bat", - "35": "baseball glove", - "36": "skateboard", - "37": "surfboard", - "38": "tennis racket", - "39": "bottle", - "40": "wine glass", - "41": "cup", - "42": "fork", - "43": "knife", - "44": "spoon", - "45": "bowl", - "46": "banana", - "47": "apple", - "48": "sandwich", - "49": "orange", - "50": "broccoli", - "51": "carrot", - "52": "hot dog", - "53": "pizza", - "54": "donut", - "55": "cake", - "56": "chair", - "57": "sofa", - "58": "pottedplant", - "59": "bed", - "60": "diningtable", - "61": "toilet", - "62": "tvmonitor", - "63": "laptop", - "64": "mouse", - "65": "remote", - "66": "keyboard", - "67": "cell phone", - "68": "microwave", - "69": "oven", - "70": "toaster", - "71": "sink", - "72": "refrigerator", - "73": "book", - "74": "clock", - "75": "vase", - "76": "scissors", - "77": "teddy bear", - "78": "hair drier", - "79": "toothbrush" - } -}