* 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).
* Add image meta reading to voc
* Replace voc support in cvat
* Bump format version
* Materialize lazy transforms in voc export
* Store voc instance id as group id
* Add flat format import
* Add documentation
* Fix format name in doc
* Employ transforms and item wrapper
* Add image class and tests
* Add image info support to formats
* Fix cli
* Fix merge and voc converte
* Update remote images extractor
* Codacy
* Remove item name, require path in Image
* Merge images of dataset items
* Update tests
* Add image dir converter
* Update Datumaro format
* Update COCO format with image info
* Update CVAT format with image info
* Update TFrecord format with image info
* Update VOC formar with image info
* Update YOLO format with image info
* Update dataset manager bindings with image info
* Add image name to id transform
* Fix coco export
* Add masks support for tfrecord
* Refactor coco
* Fix comparison
* Remove dead code
* Extract common code for instances
* Employ transforms and item wrapper
* Add image class and tests
* Add image info support to formats
* Fix cli
* Fix merge and voc converte
* Update remote images extractor
* Codacy
* Remove item name, require path in Image
* Merge images of dataset items
* Update tests
* Add image dir converter
* Update Datumaro format
* Update COCO format with image info
* Update CVAT format with image info
* Update TFrecord format with image info
* Update VOC formar with image info
* Update YOLO format with image info
* Update dataset manager bindings with image info
* Add image name to id transform
* Fix coco export
* 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)
* Add import result checks and options to skip
* Add label-specific attributes
* Overwrite option for export
* Add labelmap file support in voc
* Add labelmap tests
* Little refactoring
* Add polygon merging option to coco converter
* Add test, refactor coco, add support for cli args
* Drop colormap application in datumaro format
* Add cli support in voc converter
* Add cli support in yolo converter
* Add converter cli options in project cli
* Add image data type conversion in image saving
* Add image data type conversion in image saving
* Update mask support in voc
* Replace null with quotes in coco export
* Improve cli
* Enable Datumaro intellisense in vs cde
* Adjust fields in voc detection export
* Add polygon merging option to coco converter
* Add test, refactor coco, add support for cli args
* Drop colormap application in datumaro format
* Add cli support in voc converter
* Add cli support in yolo converter
* Add converter cli options in project cli
* Add image data type conversion in image saving
zhiltsov-max
Andrey Zhavoronkov
Nikita Manovich