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IdaLib

IdaLib (Image Data Augmentation Library) is a library dedicated to the task of Image Data Augmentation in a fast, simple, efficient and flexible way This library allows you to convert your input data into a larger and more diverse one to perform a better train of your Neural Network

Features

  • Multiple fast augmentations based on Kornia an OpenCV libraries

  • Flexible

  • Complete tool, includes support for tasks associated with Pytorch-based neural networks

  • Supports multiple types of combined data (images, heat maps, segmentation maps, masks and keypoints)

Instalation

You can use pip to install Ida-Lib

pip install ida-lib

If you want to get the latest version of the code before it is released on PyPI you can install the library from GitHub:

pip install -U git+https://github.com/raquelvilas18/ida_lib

Indices and tables

Built with

  • Pytorch. - The machine learning framework used

  • Bokeh. - The visualization library used

  • Kornia. - computer vision library that is used as a base for transformations

  • OpenCV. - computer vision library that is used as a base for transformations

Acknowledgements

  • Nicolás Vila Blanco : project co-author

  • María José Carreira Nouche: project co-author

  • CITiUS: support company

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