Detection of apple based on YOLOv4 model
Project description
napari-apple
Detection of apple based on YOLOv4 model
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
Installation
You can install napari-apple via pip:
pip install napari-apple
To install latest development version :
pip install git+https://github.com/hereariim/napari-apple.git
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, "napari-apple" is free and open source software
Issues
If you encounter any problems, please file an issue along with a detailed description.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
napari-apple-0.0.1.tar.gz
(13.1 kB
view hashes)
Built Distribution
Close
Hashes for napari_apple-0.0.1-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cfc19b1658ad3789fa5a924233bfdad050a6915e2c6e46d4ffb0bd2d418e55ce |
|
| MD5 | f043b8fd44be82693bc2042acb567f23 |
|
| BLAKE2b-256 | 6a58fc41f1b5b7809a1117b3911cf39fd43147f82eafba402a6893e9a6f5abdc |
