* support RLE and binary mask

* do not convert to numpy

* be consistent with Detectron

* delete wrong comment

* [WIP] add tests for segmentation_mask

* update tests

* minor change

* Refactored segmentation_mask.py

* Add unit test for segmentation_mask.py

* Add RLE support for BinaryMaskList

* PEP8 black formatting

* Minor patch

* Use internal  that handles 0 channels

* Fix polygon slicing

* [WIP] Keypoints inference on C2 models work

* Training seems to work

Still gives slightly worse results

* e2e training works but gives 3 and 5 mAP less

* Add modification proposed by @ChangErgou

Improves mAP by 1.5 points, to 0.514 and 0.609

* Keypoints reproduce expected results

* Clean coco.py

* Linter + remove unnecessary code

* Merge criteria for empty bboxes in has_valid_annotation

* Remove trailing print

* Add demo support for keypoints

Still need further cleanups and improvements, like adding fields support for the other ops in Keypoints

* More cleanups and misc improvements

* Fixes after rebase

* Add information to the readme

* Fix md formatting

* add support for pascal voc dataset and evaluate

* optimization for adding voc dataset

* make inference.py dataset-agnostic; add use_difficult option to voc dataset

* handle voc difficult objects correctly

* Remove dependency on lxml plus minor improvements

* More cleanups

* More comments and improvements

* Lint fix

* Move configs to their own folder