The napari hub is transitioning to a community-run implementation due to launch in June 2025.
Since October 1, 2024, this version is no longer actively maintained and will not be updated. New plugins and plugin updates will continue to be listed.

PoseR

PoseR-napari

A deep learning toolbox for decoding animal behaviour

License BSD-3 PyPI Python Version tests codecov napari hub

A deep learning toolbox for decoding animal behaviour


This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.

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Installation

Create an anaconda environment:

conda create -n PoseR python=3.10

Activate PoseR environment:

conda activate PoseR

Install CUDA if using NVIDIA GPU:

conda install -c "nvidia/label/cuda-11.7.0" cuda

Install Pytorch: For GPU:

conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia

For CPU only version:

conda install pytorch torchvision torchaudio cpuonly -c pytorch

Install napari:

pip install napari[all]==0.4.14 npe2==0.6.2 pydantic==1.10.4

You can install PoseR via pip:

pip install PoseR-napari

To install latest development version :

pip install git+https://github.com/pnm4sfix/PoseR.git

Quick start

https://github.com/pnm4sfix/PoseR/blob/generalise-species/docs/QuickStart.md

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the BSD-3 license, "PoseR" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Version:

  • 0.0.1b4

Last updated:

  • 14 November 2024

First released:

  • 21 February 2023

License:

Supported data:

  • Information not submitted

Plugin type:

GitHub activity:

  • Stars: 8
  • Forks: 1
  • Issues + PRs: 4

Python versions supported:

Operating system:

Requirements:

  • napari[all]==0.4.14
  • npe2==0.6.2
  • pydantic==1.10.4
  • numpy==1.23.5
  • magicgui
  • qtpy
  • napari-video
  • napari-plot==0.1.5
  • tables
  • imageio-ffmpeg==0.4.8
  • pytorch-lightning
  • test-tube
  • scikit-learn
  • matplotlib
  • numba
  • networkx
  • seaborn
  • ultralytics
  • torcheval==0.0.7