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 .
Tutorial
| Getting Start |  |
 |
|---|
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}
}
1 maintainer
Metadata
1 maintainer
Release files for phenocv 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| phenocv-0.1.4.tar.gz | 48.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| phenocv-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 112.6 kB
Release files / phenocv-0.1.4.tar.gz
| Download URL | phenocv-0.1.4.tar.gz |
|---|---|
| Size | 48.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-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/5.0.0 CPython/3.11.9
|
Release files / phenocv-0.1.4-py3-none-any.whl
| Download URL | phenocv-0.1.4-py3-none-any.whl |
|---|---|
| Size | 63.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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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/5.0.0 CPython/3.11.9
|
