SLEAP v1.0.10a4
Pre-release
Pre-release
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
andremove_predictions
for quick dataset cleanup
- Add
- Remove predicted instances in existing frames before merging in active learning results (fixes #413)
- Conda
environment.yml
clean-up: de-duplicates dependencies managed bypip