* CVAT-3D Updated the Mime Types with Bin Support, added dependency of open3D
* CVAT-3D Added additional column as Dimension for engine_task table and created a relatedfiles table for PCD to Image mapping.
* Added Support for 3D file Upload in BIN and PCD.
* Added Dimension attribute defaulting to 2D for importer and exporter.
* Added props passing for dimension attribute, filtering of import, Migration Scripts and Dimension attribute for MpegChunk Writers
* Modified code as per review comments
* Updated Unit test cases for 3D task creation
* Refactored Dimension Enum in UI and backend code
* Resolving conflicts
* Updated Unit Test Case
* Refactored TaskDimension to DimensionType, Simplified usage of Dimension accross classes
* Removing manually created test files
* Removing old pcd mime-type mapping
* Added test files generated by synthetic data using open3d
* Merged with develop branch latest changes
* Added libraries required for open3d
* Added files
* Added synthethic pcd,bin and img test files
* Modified test file name
* Trigger travis ci
* Modified test case to ignore 3D preview images
* Trigger notification
* Deleting DS Store files
* Modified test cases as per review comments
* Checking pre-commit hook
* Fixed Lint issues - precommit hook verification
* Added changes for CVAT-3D Milestone2 changes - Frame Navigation, photo context hide and show
* Modified changes
* Added canvas3D for 3D Perspective
* Added missing files
* Added code to get image context for 3D view
* Codacy check for stylesheet
* Modified frame navigantion for 3D View
* Modified style for context-image
* Trigger notification
* Added Support for 3D file Upload in BIN and PCD.
* Added props passing for dimension attribute, filtering of import, Migration Scripts and Dimension attribute for MpegChunk Writers
* Modified code as per review comments
* Refactored Dimension Enum in UI and backend code
* Merged with develop branch latest changes
* Added files
* Added changes for CVAT-3D Milestone2 changes - Frame Navigation, photo context hide and show
* Modified changes
* Added canvas3D for 3D Perspective
* Added missing files
* Added code to get image context for 3D view
* Codacy check for stylesheet
* Modified frame navigantion for 3D View
* Modified style for context-image
* Changed cvat-data lint issues
* Modified to use opencv as per review comments
* Removed unwanted imports
* Fixed css and added usage of hooks
* Merged Develop branch code
* Removed unused data structures
* Removed unused data structures
* Refactored unused data structures
* Added three js dependency in cvat ui package-lock.json
* Merged develop branch code and refactored code
* Fixed snyk issue
* Modified Camera Icon in photo-context
* Update icons.tsx
* Remove unused svg file
* Modified changelog file
* Added changes for CVAT-3D Milestone3
* Added missing line as per codacy check
Co-authored-by: cdp <cdp123>
* Initial version of Inside Outside Guidance serverless function
* Support neg_points in interactors
* Improved deployment process of serverless functions
* Improve installation.md for serverless functions.
* Update CHANGELOG, use NUCLIO_DASHBOARD_DEFAULT_FUNCTION_MOUNT_MODE as
recommended by nuclio developers.
* Disable warning from markdown linter about max line length for a table.
* Fix IOG function with conda environment
* Fix tensorflow matterport/mask_rcnn
Co-authored-by: Boris Sekachev <boris.sekachev@intel.com>
* 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
Timur Osmanov
manasars
Utkarsh Goel
PMazarovich
Nikita Manovich
Andrey Zhavoronkov
Ali Jahani
Vitaliy Nishukov
abdullahrkw
Dmitry Agapov
Andrey Zhavoronkov
RGring
Nikita Manovich
Pratik Raj
Tanvi Anand
dependabot[bot]
Reza Malek
Ben Hoff
Boris Sekachev