phenocv 0.1.2

Rice High Throughput Phenotyping Computer Vision Toolkit

phenocv

Introduction

phenocv is a toolkits for rice high-throught phenotyping using computer vision.

phenocv is still in early development stage, and more features will be added in the future.

For label-studio semi-automatic annotation, please refer to playground.

For mmdetection training, please refer to mmdetection.

For yolo training, please refer to Ultralytics.

Support for mmdetection and label-studio will be added in the future.

Installation

Before install the package, make sure you have installed pytorch and install in the python environment with python>=3.8.

Install with pip:

pip install phenocv

Install in editable mode, allow changes to the source code to be immediately available:

git clone https://github.com/r1cheu/phenocv.git
cd phenocv
pip install -e .

License

This project is released under the AGPL 3.0 license.

Citation

If you find this project useful in your research, please consider cite:

@misc{2023phenocv,
    title={Rice high-throught phenotyping computer vision toolkits},
    author={RuLei Chen},
    howpublished = {\url{https://github.com/r1cheu/phenocv}},
    year={2023}
}