SLEAP v1.3.3

This is a brown-bag release following insufficient restrictions on allowable tensorflow versions for the "pypi" extra sleap[pypi] in 1.3.2. While the conda packages for 1.3.2 were not affected (since tensorflow is pulled in from anaconda), the PyPI only package installed via pip install sleap[pypi] had conflicts between the version of tensorflow and the version of keras. See 1.3.0, 1.3.1, and 1.3.2 for previous notable changes.

From 1.3.2+, to install SLEAP through pip use pip install sleap[pypi] to ensure all dependencies are gathered.

As a reminder:

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

conda update -n base conda
conda install -n base conda-libmamba-solver
conda config --set solver libmamba

Any subsequent mamba commands in the docs will need to be replaced with conda if you choose to use your existing Anaconda installation.

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=1.3.3

mamba (Mac):

mamba create -y -n sleap -c conda-forge -c anaconda -c sleap sleap=1.3.3

pip (any OS except Apple Silicon):

pip install sleap[pypi]==1.3.3

Full Changelog

Fixes

• Do not try to remove item if already deleted by @roomrys in #1498
• Set LD_LIBRARY_PATH on mamba activate by @roomrys in #1496
• Reset LD_LIBRARY_PATH on deactivate by @roomrys in #1502

Dependencies

• Add version restirctions to tendorflow for pypi by @roomrys in #1485
• Remove imageio pin by @roomrys in #1501

Full Changelog: v1.3.2...v1.3.3