* 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