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AI数据的保存和标注平台
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Nikita Manovich e7585b8ce9
DL models as serverless functions (#1767) 
* Initial experiments with nuclio

* Update nuclio prototype

* Improve nuclio prototype for dextr.

* Dummy lambda manager

* OpenFaaS prototype (dextr.bin and dextr.xml are empty).

* Moved openfaas prototype.

* Add comments

* Add serializers and HLD for lambda_manager

* Initial version of Mask RCNN (without debugging)

* Initial version for faster_rcnn_inception_v2_coco

* Fix faster_rcnn_inception_v2_coco

* Implemented mask_rcnn_inception_resnet_v2_atrous_coco

* Implemented yolo detector as a lambda function

* Removed dextr app.

* Added types for each function (detector and interactor)

* Initial version of lambda_manager.

* Implement a couple of methods for lambda:

GET /api/v1/lambda/functions
GET /api/v1/lambda/functions/public.dextr

* First working version of dextr serverless function

* First version of dextr which works in UI.

* Modify omz.public.faster_rcnn_inception_v2_coco

- image decoding
- restart policy always for the function

* Improve omz.public.mask_rcnn_inception_resnet_v2_atrous_coco

* Improve omz.public.yolo-v3-tf function

* Implemented the initial version of requests for lambda manager.

* First working version of POST /api/v1/lambda/requests

* Updated specification of function.yaml (added labels and used annotations section).

* Added health check for containers (nuclio dashboard feature)

* Read labels spec from function.yaml.

* Added settings for NUCLIO

* Fixed a couple of typos. Now it works in most cases.

* Remove Plugin REST API

* Remove tf_annotation app (it will be replaced by serverless function)

* Remove tf_annotation and cuda components

* Cleanup docs and Dockerfile from CUDA component.

* Just renamed directories inside serverless

* Remove redundant files and code

* Remove redundant files.

* Remove outdated files

* Remove outdated code

* Delete reid app and add draft of serverless function for reid.

* Model list in UI.

* Fixed the framework name (got it from lambda function).

* Add maxRequestBodySize for functions, remove redundant code from UI for auto_annotation.

* Update view of models page.

* Unblock mapping for "primary" models.

* Implement cleanup flag for lambda/requests and labeling mapping for functions.

* Implement protection from running multiple jobs for the same task.

* Fix invocation of functions in docker container.

* Fix Dockerfile.ci

* Remove unused files from lambda_manager

* Fix codacy warnings

* Fix codacy issues.

* Fix codacy warnings

* Implement progress and cancel (aka delete) operation.

* Send annotations in batch.

* Fix UI. Now it can retrieve information about inference requests in progress.

* Update CHANGELOG.md

* Update cvat-ui version.

* Update nuclio version.

* Implement serverless/tensorflow/faster_rcnn_inception_v2_coco

* Add information how to install nuclio platform and run serverless functions.

* Add installation instructions for serverless functions.

* Update OpenVINO files which are responsible for loading network

* relocated functions

* Update dextr function.

* Update faster_rcnn function from omz

* Fix OpenVINO Mask-RCNN

* Fix YOLO v3 serverless function.

* Dummy serverless functions for a couple of more OpenVINO models.

* Protected lambda manager views by correct permissions.

* Fix name of Faster RCNN from Tensorflow.

* Implement Mask RCNN via Tensorflow serverless function.

* Minor client changes (#1847)

* Minor client changes

* Removed extra code

* Add reid serverless function (no support in lambda manager).

* Fix contribution guide.

* Fix person-reidentification-retail-300 and implement text-detection-0004

* Add semantic-segmentation-adas-0001

* Moving model management to cvat-core (#1905)

* Squached changes

* Removed extra line

* Remove duplicated files for OpenVINO serverless functions.

* Updated CHANGELOG.md

* Remove outdated code.

* Running dextr via lambda manager (#1912)

* Deleted outdated migration.

* Add name for DEXTR function.

* Fix restart policy for serverless functions.

* Fix openvino serverless functions for images with alpha channel

* Add more tensorflow serverless functions into deploy.sh

* Use ID instead of name for DEXTR (#1926)

* Update DEXTR function

* Added source "auto" inside lambda manager for automatic annotation.

* Customize payload (depends on type of lambda function).

* First working version of REID (Server only).

* Fix codacy warnings

* Avoid exception during migration (workaround)

File "/usr/local/lib/python3.5/dist-packages/django/db/utils.py", line 89, in __exit__
    raise dj_exc_value.with_traceback(traceback) from exc_value
  File "/usr/local/lib/python3.5/dist-packages/django/db/backends/utils.py", line 84, in _execute
    return self.cursor.execute(sql, params)
django.db.utils.ProgrammingError: table "engine_pluginoption" does not exist

* Add siammask serverless function (it doesn't work, need to serialize state)

* Run ReID from UI (#1949)

* Removed reid route in installation.md

* Fix a command to get lena image in CONTRIBUTION guide.

* Fix typo and crash in case a polygon is a line.

Co-authored-by: Boris Sekachev <40690378+bsekachev@users.noreply.github.com>
 		6 years ago
.github DL models as serverless functions (#1767) 6 years ago
.vscode DL models as serverless functions (#1767) 6 years ago
components/analytics DL models as serverless functions (#1767) 6 years ago
cvat DL models as serverless functions (#1767) 6 years ago
cvat-canvas CVAT UI: batch of fixes (#1952) 6 years ago
cvat-core DL models as serverless functions (#1767) 6 years ago
cvat-data added hash to js bundle names (#1803) 6 years ago
cvat-ui DL models as serverless functions (#1767) 6 years ago
cvat_proxy DL models as serverless functions (#1767) 6 years ago
datumaro DL models as serverless functions (#1767) 6 years ago
serverless DL models as serverless functions (#1767) 6 years ago
ssh Git application (#184) 7 years ago
tests Add cypress support (#1951) 6 years ago
utils DL models as serverless functions (#1767) 6 years ago
.bandit Skip 28 bandit warnings (lxml, subprocess, ...). (#259) 7 years ago
.codacy.yml Data streaming using chunks (#1007) 6 years ago
.coveragerc Fix coverage measurement (#1516) 6 years ago
.dockerignore React UI: Player in annotation view & settings page (#1018) 6 years ago
.editorconfig Add editorconfig (#1142) 6 years ago
.eslintrc.js Different fixes for Release 0.5.0 (#667) 7 years ago
.gitattributes DL models as serverless functions (#1767) 6 years ago
.gitignore DL models as serverless functions (#1767) 6 years ago
.pylintrc DL models as serverless functions (#1767) 6 years ago
.remarkrc.js cvat user guide v0.4.0 (#438) 7 years ago
.stylelintrc.json CVAT UI: batch of fixes (#1952) 6 years ago
.travis.yml Add cypress support (#1951) 6 years ago
CHANGELOG.md DL models as serverless functions (#1767) 6 years ago
CONTRIBUTING.md DL models as serverless functions (#1767) 6 years ago
Dockerfile DL models as serverless functions (#1767) 6 years ago
Dockerfile.ci DL models as serverless functions (#1767) 6 years ago
Dockerfile.ui Added the ability to configure custom pageViewHit (may useful for web analytics) (#1566) 6 years ago
LICENSE Add pull request and issue templates (#1359) 6 years ago
README.md DL models as serverless functions (#1767) 6 years ago
docker-compose.ci.yml Add cypress support (#1951) 6 years ago
docker-compose.yml DL models as serverless functions (#1767) 6 years ago
manage.py Moved development on public github. 8 years ago
mod_wsgi.conf Release 0.1.0 8 years ago
package.json Stylelint SCSS linter (#1766) 6 years ago
supervisord.conf Added clamav integration (#1712) 6 years ago
wait-for-it.sh Release 0.1.0 8 years ago

README.md

Computer Vision Annotation Tool (CVAT)

Build Status Codacy Badge Gitter chat Coverage Status codebeat badge DOI

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.

CVAT screenshot

Documentation

Screencasts

Supported annotation formats

Format selection is possible after clicking on the Upload annotation and Dump annotation buttons. Datumaro dataset framework allows additional dataset transformations via its command line tool and Python library.

Annotation format Import Export
CVAT for images X X
CVAT for a video X X
Datumaro X
PASCAL VOC X X
Segmentation masks from PASCAL VOC X X
YOLO X X
MS COCO Object Detection X X
TFrecord X X
MOT X X
LabelMe 3.0 X X

Links

Online demo: cvat.org

This is an online demo with the latest version of the annotation tool. Try it online without local installation. Only own or assigned tasks are visible to users.

Disabled features:

Limitations:

  • No more than 10 tasks per user
  • Uploaded data is limited to 500Mb

REST API

Automatically generated Swagger documentation for Django REST API is available on <cvat_origin>/api/swagger (default: localhost:8080/api/swagger).

Swagger documentation is visiable on allowed hostes, Update environement variable in docker-compose.yml file with cvat hosted machine IP or domain name. Example - ALLOWED_HOSTS: 'localhost, 127.0.0.1')

LICENSE

Code released under the MIT License.

Questions

CVAT usage related questions or unclear concepts can be posted in our Gitter chat for quick replies from contributors and other users.

However, if you have a feature request or a bug report that can reproduced, feel free to open an issue (with steps to reproduce the bug if it's a bug report) on GitHub* issues.

If you are not sure or just want to browse other users common questions, Gitter chat is the way to go.

Other ways to ask questions and get our support: