pyclay-annotation-utils 0.3.5

Utilities that are used for assisting with making annotated data.

annotation_utils

Utilities that are used for assisting with making annotated data.

Installation

Install From Github

# 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.zip

Note: 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.zip

Install From Pypi

pip install pyclay-annotation_utils

Note: The github package is updated more often than the pypi package.

Update Build

If you change the code and want to re-build the package, do the following.

./build_package.sh

The package can then be installed locally.

pip install -e .

Important Note

• Outdated/obsolete code has been moved to the annotation_utils/old folder as of version 0.2.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.

Usage

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