For converting image annotation datasets from one format into another.

For converting audio datasets from one format into another.

Redis integration for the image-dataset-converter library.

PDF support for the image-dataset-converter library.

Visualization plugins for the audio-dataset-converter library.

Scikit-learn plugins for the spectral-data-converter library.

Faster whisper plugins for the audio-dataset-converter library.

Basic plotting support to be used in kasperl projects.

Python library for converting (and filtering) spectral data in various formats.

Meta-library that combines all image-dataset-converter libraries.

image-dataset-converter plugins for Paddle (PArallel Distributed Deep LEarning).

plantcv extension for the image-dataset-converter library.

image-dataset-converter plugins for the labelme annotation tool (https://github.com/wkentaro/labelme).

Video support for the image-dataset-converter library.

Image statistics extension for the image-dataset-converter library.

seppl-based Python library with generic plugins for pipelines.

Meta library that combines all spectral-data-converter libraries.

Visualization extension for the image-dataset-converter library.

Base-classes for Redis plugins to be used in kasperl projects.

Simple Entry Point PipeLines (seppl). Python library for parsing pipeline components with their own options.