Scripts to train and evaluate YOLOv8 models
Project description
YOLO
Scripts to train and evaluate YOLOv8 models. Read the official documentation of this library at https://dla.pages.teklia.com/yolo/.
It is licensed under the AGPL-v3 license.
Development
For development and tests purpose it may be useful to install the project as a editable package with pip.
- Use a virtualenv (e.g. with virtualenvwrapper
mkvirtualenv -a . yolo) - Install yolo as a package (e.g.
pip install -e .)
Linter
Code syntax is analyzed before submitting the code.
To run the linter tools suite you may use pre-commit.
pip install pre-commit
pre-commit run -a
Run tests
Tests are executed with tox using pytest.
To install tox,
pip install tox
tox
To reload the test virtual environment you can use tox -r
Run a single test module: tox -- <test_path>
Run a single test: tox -- <test_path>::<test_function>
Documentation
Install node dependencies:
npm install
Build the documentation using make antora. You can then write in Asciidoc in the relevant docs/*.adoc files, and use a small python server to see output from public/ using python -m http.server.
Writing documentation
This documentation is generated using Antora.
Linting
This documentation is subject to linting using doc8, integrated into pre-commit.
The linting rules that doc8 applies can be found on its documentation.
Project details
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