* Added ability to upload meta information with video & some fixes
* Added documentation for data on the fly preparation
* Added ability to prepare meta information for video manually
* fix
* style: fix codacy issues
* Refactoring
* docs: add optional parameter
* Add test
* Add license header
* Update CHANGELOG
Co-authored-by: Boris Sekachev <boris.sekachev@yandex.ru>
* 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* Remove outdated files
* Remove outdated code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>
* Move formats to dataset manager
* Unify datataset export and anno export implementations
* Add track_id to TrackedShape, export tracked shapes
* Replace MOT format
* Replace LabelMe format
* Add new formats to dm
* Add dm tests
* Extend TrackedShape
* Enable dm test in CI
* Fix tests
* Add import
* Fix tests
* Fix mot track ids
* Fix mot format
* Update attribute logic in labelme tests
* Use common code in yolo
* Put datumaro in path in settings
* Expect labels file in MOT next to annotations file
* Add MOT format description
* Add import
* Add labelme format description
* Linter fix
* Linter fix2
* Compare attributes ordered
* Update docs
* Update tests
Huge feature (200+ commits from different developers). It completely changes layout of data (please expect very long DB migration process if you have a lot of tasks). The primary idea is to send data as zip chunks (e.g. 36 images in one chunk) or encoded video chunks and decode them on the client side. It helps to solve the problem with latency when you try to view a separate frame in the UI quickly (play mode).
Another important feature of the patch is to provide access to the original images. Thus for annotations the client uses compressed chunks but if you want to export a dataset Datumaro will use original chunks (but video will be decoded with original quality and encoded with maximum/optimal quality in any case).
Modification necessary for using CVAT from remote machines when accessing with FQDNs
See https://github.com/opencv/cvat/issues/1011#issue-542817055
and https://github.com/opencv/cvat/pull/1098
"I believe the reason for this is that sometimes if the port number is :80 and the URL is not in the LAN (:port), but instead it is a Fully Qualified Domain Name (:port), the port 80 is redundant (mydomain.com:80) and the errors arise."
* Added page_size parameter for all REST API methods which returns list of objects.
Also it is possible to specify page_size=all to return all elements.
* Updated changelog.md
* Added trivial login/logout/register
* Auth methods for REST API.
- api/v1/auth/login
- api/v1/auth/logout
For basic auth only:
- api/v1/auth/register
- api/v1/auth/password/*
* Add info about auth for REST API into CHANGELOG.md
* Add pylintrc for codacy, updated pylint and its dependecies.
* Add token authorization, renamed cvat.js to cvat-core in all places.
* Implemented register method in cvat-core
* Added first_name and last_name to RegisterSerializer.
* Add revproxy dependency
* Fix formating of task.log, improve fields of server events.
* Mount kibana app into /analytics/*
* Add logs for revproxy and x-forwarded-user header.
* Added F3 shortcut for analytics/log-viewer.
* ELK stack to analyze logs from client and server
* Short-live container to configure kibana. Import kibana dashboards from export.json on startup.
* Client and server logging is working throw python-logstash
* Minor polishing of events and dashboards.
* Default is discover, new visualizations.
* Make comments more readable inside logger.js.
* Added a path for backups.