History

0.1.12 (2021-10-29)

  • Fixed minor bug in function norm_with_bounds

0.1.11 (2021-09-10)

  • Fixed support for 3D Images

  • Fixed minor bugs

0.1.10 (2021-05-11)

  • Added support one-hot encoding in case of multi-class label

0.1.9 (2021-05-11)

  • Added support for RGB Images

  • Fixed some bugs related to norm_bounds types

0.1.8 (2021-05-09)

  • Main Changes in the package structure. Now there are two main functions: generate_dataset and get_dataset, both leveraging on DataLoader class.

  • The generation of the dataset can be handled also by CLI, to simplify usage.

  • Processed data can live by themself. No more need to transfer also original file (e.g. to Drive to make use of them on Colab)

0.1.6 (2021-05-06)

  • Improved flexibility for image data types. Now cache dimension reflects the actual dataset dimension.

0.1.5 (2021-04-30)

  • Added support for 3D files: now Dataloader automatically detects whether a file is 2D or 3D and returns the properly sized dataset. Please remember that med_dataloader returns tf.data.Dataset object for 2D tasks, 3D is not yet supported.

  • Added new notebook in examples folder.

0.1.4 (2021-04-29)

  • Improved code flexibility:

    • It is possibile to choose which type of data augmentation is performed

    • Boundaries for data normalization can be set by the user

    • Images can be resized automatically by the user

  • Added basic_usage example also as a notebook

0.1.1 (2021-04-20)

  • Added code for package

  • Basic example of usage inside folder “examples”

  • Partial documentation

0.1.0 (2021-04-16)

  • First release on PyPI.