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• SOLT is now PyTorch Native
• All the transform subtract the mean and std by default
• Implemented a proper serialization and deserialization
• Allowed to use dict instead of a data container
• Introduced shorter transform names
• Implemented a fair benchmark to compare with other libraries
• Fixed a bug of JPEGCompression (@tiulpin )
• Added IntensityRemappping transform (@soupault )

This release is not backward comparible

A small release that includes JPEG compression augmentation and new blur type - motion blur.

This release has some tests-related features and also adds two new transforms.

Detailed description:

• Improved and parametrized many more testes
• Added CutOut data augmentation
• Added KeypointsJitter class that allows to apply random displacements to keypoints

Matrix transformations are now cached and can be accessed after the application of the transform. New width and height are also stored.

• Increased the speed of brightness and contrast transforms
• Increased the speed of random crops

Contrast, brightness and non-distorting rotations have been implemented. Also, one bug in perspective transform, was fixed.

Added new examples, transforms, improved the internals by refactoring.