This release is a pre-release and may not be stable for production use.
PoseR
A deep learning toolbox for decoding animal behaviour
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
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.
Release files for PoseR-napari 0.0.1b7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| poser_napari-0.0.1b7.tar.gz | 24.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| poser_napari-0.0.1b7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.6 MB
Release files / poser_napari-0.0.1b7.tar.gz
| Download URL | poser_napari-0.0.1b7.tar.gz |
|---|---|
| Size | 24.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.2
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Release files / poser_napari-0.0.1b7-py3-none-any.whl
| Download URL | poser_napari-0.0.1b7-py3-none-any.whl |
|---|---|
| Size | 70.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.2
|