* updating dockercompose from 2.3 to 3.3
* adding changelog
* updating version in ci
* updating network mode docker-compose.ci
* updating version in components/serverless/docker-compose
* allow to run cvat without nuclio
* fix new line
* fix comments
* Updated core version
* refactoring
* minor refactoring, fixed eslint issues, added documentation to cvat-core, updated ui version, updated changelog
* move plugins to serverViewSet
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* Remove outdated files
* Remove outdated code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>
* Some debian package manager tweaks
By default, Ubuntu or Debian based "apt" or "apt-get" system installs recommended but not suggested packages .
By passing "--no-install-recommends" option, the user lets apt-get know not to consider recommended packages as a dependency to install.
This results in smaller downloads and installation of packages .
Refer to blog at [Ubuntu Blog](https://ubuntu.com/blog/we-reduced-our-docker-images-by-60-with-no-install-recommends) .
* Replaced wget by curl
* Moved CI stuff into Dockerfile.ci
* Use docker-compose to run commnands inside docker (need environment variables)
* Added patool again (to support different archive formats)
* Roll back tensorflow version: 1.15 -> 1.13.1
Fixed https://github.com/opencv/cvat/issues/982
Fixed https://github.com/opencv/cvat/issues/1017
* datumaro install tensorflow 2.x now. It breaks automatic annotation
using TF.
* Follow redirects in curl (auto_segmentation)
* added tfrecord loader/dumper
* add comment
* remove unused import
* used the latest version of tensorflow(1.12.3) which supports cuda 9.0
updated cudnn library
install tensorflow by default and replace it by tensorflow-gpu in case
of cuda support is enabled
* Updated changelog
* OpenVINO installation
* Separate tf_annotation -> tf_annotation and cuda support.
* TF Annotation app now supports openVino backend
* Doc for CUDA component
* OpenVINO Readme file was added
* OpenVINO env and pip requirements for model optimizer
* Update logging
* TF annotation Readme file was added
* Update CHANGELOG
* Keep aspect ratio for image, not reverse input channels
* Move analytics into components
Andrey Zhavoronkov
Vitaliy Nishukov
abdullahrkw
Dmitry Agapov
Andrey Zhavoronkov
RGring
Nikita Manovich
Pratik Raj
Tanvi Anand
dependabot[bot]
Reza Malek
Ben Hoff
Boris Sekachev