augmentation

Enhancement

A discussion in #614 revealed a good place for improvement - we should ensure that input image is continuous upon start of the augmentation pipeline. This could be implemented by adding image = np.ascontiguousarray(image) to image and mask targets.

A proposed place to add this call - somewhere at the beginning of A.Compose.__call__.

This transform takes a fraction of the end or the start of the audio and treats that part as padding. We can implement several modes:

• constant (zero)
• wrap
• reflect

Using the same concept used in keras segmentation example add pytorch segmentation example