Kwcoco

Added
* Add `remove_video` method to CocoDataset
* kwcoco show can now show auxiliary data


Changed
* `CocoDataset.union` now will remap track-ids assuming all input datasets are
disjoint by default.

* Fixed issues in metrics classification report

Added
* Standalone algorithm for BOID positions

Changed
* Make kwplot, matplotlib, and seaborn optional

Fixed
* Fixed bug in `draw_threshold_curves` when measures are empty.

Changed
* Better support for pycocotools
* Better evaluation code
* Better auxiliary data
* Tweaks in CLI stats script

Added
* `kwcoco.kw18.KW18.to_coco` can now accept `image_paths` and `video_name`

Changed
* Yet more change to `reroot`, this needs to get reviewed and fixed.
* Fix spelling of auxillary to auxiliary
* Better auxiliary channel support in toydata

Fixed
* Added version flag to the CLI
* Fixes to `ensure_json_serializable` for edge cases and recursion depth


Removed
* Removed `pred_raw` from ConfusionVectors

Added

* Ported the non-torch components of CategoryTree from ndsampler to kwcoco.
* This helps kwcoco work better as a standalone package.
* Union now works with videos
* New formal schema with jsonschema validation support
* Add `autobuild` kwarg to `CocoDset.subset`


Changed
* Removed optional dependency on ndsampler, functionality should now be available without ndsampler.


Fixed
* the `_check_index` method now works correctly.
* `add_image` with `video_id` now works even if the video doesn't exist yet.
* `add_annotation` no longer fails if `category_id` is None.

Added
* Added `compat_dataset.COCO` which supports 99% of the original `pycocotools` API.
* Added `kwcoco modify_categories` CLI which supports renaming and removal of categories.
* New `random_video_dset` demo function to generate toydata in video sequences. Added new tooling for this. STATUS: INCOMPLETE
* Add new video-based APIs to the CocoDataset based on the spec. STATUS: incomplete

Fixed
* Fix bug in find_representative_images.