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SLEAP v1.3.1

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@roomrys roomrys released this 30 Jun 20:43
· 45 commits to main since this release

After the massive 1.3.0 release, SLEAP 1.3.1 underwent a much needed dependency and build update. SLEAP 1.3.1 has conda packages for Mac OS X and Apple Silicon 🎉. In terms of features, 1.3.1 has just a few small upgrades/fixes. Be sure to check back in for bigger features still in the works! 🚧 🔨 👀

The 1.3.1 dependency update requires Mamba for faster dependency resolution. If you already have anaconda installed, then you can install Mamba in the base environment:

conda install mamba -n base -c conda-forge

Otherwise, follow the recommended installation instruction for Mamba.

Quick install

mamba (Windows/Linux/GPU):

mamba create -y -n sleap -c conda-forge -c nvidia -c sleap -c anaconda sleap=1.3.1

mamba (Mac):

mamba create -y -n sleap -c conda-forge -c anaconda -c sleap sleap=1.3.1

pip (any OS except Apple Silicon):

pip install sleap==1.3.1

Highlights

Full Changelog

Enhancements

Fixes

  • Disable data caching by default for SingleImageVideos by @talmo in #1243
  • Fix single frame GUI increment by @roomrys in #1254
  • Fix conversion to numpy array when last frame(s) do not have labels by @talmo in #1307
  • Ensure frames to predict list is unique by @roomrys in #1293
  • Fix GUI resume training by @roomrys in #1314
  • Do not choose top_k instances if max_instances < num centroids by @roomrys in #1313
  • Remove --labels and redundant data_path by @roomrys in #1326
  • Create copy of config info to modify (gui) by @roomrys in #1325
  • Fixes GPU memory polling using environment variable filtering by @ericleonardis in #1272
  • Set split_by_inds, test_labels, and validation_labels to default (GUI) by @roomrys in #1331
  • Fix (remove) SingleImageVideo caching by @roomrys in #1330

Dependencies

New Contributors

Full Changelog: v1.3.0...v1.3.1