# napari-apple
[](https://github.com/hereariim/napari-apple/raw/main/LICENSE)
[](https://pypi.org/project/napari-apple)
[](https://python.org)
[](https://github.com/hereariim/napari-apple/actions)
[](https://codecov.io/gh/hereariim/napari-apple)
[](https://napari-hub.org/plugins/napari-apple)
Detection of apple based on YOLOv4 model
----------------------------------
This [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.
<!--
Don't miss the full getting started guide to set up your new package:
https://github.com/napari/cookiecutter-napari-plugin#getting-started
and review the napari docs for plugin developers:
https://napari.org/plugins/index.html
-->
## Installation
First, please note that this module **only works** on a Linux Ubuntu system. Indeed, the launch of the YOLO module is a command that is executed on a Linux Ubuntu system.
Before you can operate the module, you must install the `napari-apple` module and Darknet on your machine.
### Instruction for napari-module
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
### Instruction Darknet
Darknet is the module where the pre-trained YOLO model is located. You can install Darknet by running this command:
git clone https://github.com/pjreddie/darknet
cd darknet
make
When Darknet is installed, you have to put the weights of the apple detection model in the cfg subfolder. You find the weights in the weight-darknet folder.
## 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.
[napari]: https://github.com/napari/napari
[Cookiecutter]: https://github.com/audreyr/cookiecutter
[@napari]: https://github.com/napari
[MIT]: http://opensource.org/licenses/MIT
[BSD-3]: http://opensource.org/licenses/BSD-3-Clause
[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt
[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt
[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0
[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt
[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin
[file an issue]: https://github.com/hereariim/napari-apple/issues
[napari]: https://github.com/napari/napari
[tox]: https://tox.readthedocs.io/en/latest/
[pip]: https://pypi.org/project/pip/
[PyPI]: https://pypi.org/
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