pyclay-annotation-utils 0.3.9

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.

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_utils

Install From Source

This package can also be installed locally.

git clone https://github.com/cm107/annotation_utils.git
cd annotation_utils
pip install -e .

Update Build

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

./build_package.sh

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• Outdated/obsolete code has been moved to the annotation_utils/old folder as of version 0.2.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

Documents

The following documents have been written for further explanation.

• Praparing Datasets For Training/Validation