Utilities that are used for assisting with making annotated data.
# For installing from the master branch (stable)
pip install https://github.com/cm107/annotation_utils/archive/master.zip
# For installing from the development (latest)
pip install https://github.com/cm107/annotation_utils/archive/development.zipNote: If you want to reinstall all dependencies while installing, use the following commands instead:
# For installing from the master branch (stable)
pip install --upgrade --force-reinstall https://github.com/cm107/annotation_utils/archive/master.zip
# For installing from the development (latest)
pip install --upgrade --force-reinstall https://github.com/cm107/annotation_utils/archive/development.zippip install pyclay-annotation_utilsNote: The github package is updated more often than the pypi package.
Note: In order to overwrite an older version with the latest version, use the following command instead.
# Warning: This will automatically upgrade the dependencies too.
pip install --upgrade pyclay-annotation_utilsThis package can also be installed locally.
git clone https://github.com/cm107/annotation_utils.git
cd annotation_utils
pip install -e .If you change the code and want to re-build the package, do the following.
./build_package.sh- Outdated/obsolete code has been moved to the annotation_utils/old folder as of version 0.2.
- The latest COCO utilities can be found under annotation_utils/coco.
- The latest Labelme utilities can be found under annotation_utils/labelme.
- The latest dataset management utilities can be found under annotation_utils/dataset.
- NDDS annotation parsing related classes can be found under annotation_utils/ndds.
There is not any official documentation about usage yet, but for usage examples you may refer to the test folder.
- COCO Utility Usage Examples
- Labelme Utility Usage Examples
- Dataset Utility Usage Examples
- NDDS Utility Usage Examples
- NDDS to COCO Conversion Examples
The following documents have been written for further explanation.