Pre-release of minor version update with performance tweaks and bug fixes.
Changes:
- Update to TensorFlow 2.1.2 (security patch)
- Switch to ID-based hashing for `LabeledFrame`. This dramatically increases the performance of frame manipulation operations.
- Several convenience methods for `sleap.Labels`:
- Add `describe` method to Labels for easy inspection of dataset stats
- Add `has_frame` method to Labels for quick checking of frame existence
- Add `remove_user_instances` and `remove_predictions` for quick dataset cleanup
- Remove predicted instances in existing frames before merging in active learning results (fixes 413)
- Conda `environment.yml` clean-up: de-duplicates dependencies managed by `pip`