New augmentations:

A.UnsharpMask. This transform sharpens the input image using Unsharp Masking processing and overlays the result with the original image. (#1063 by @zakajd)
A.RingingOvershoot. This transform creates ringing or overshoot artifacts by convolving the image with a 2D sinc filter. (#1064 by @zakajd)
A.AdvancedBlur. This transform blurs the input image using a Generalized Normal filter with randomly selected parameters. It also adds multiplicative noise to generated kernel before convolution. (#1066 by @zakajd)
A.PixelDropout. This transformation randomly replaces pixels with the passed value. (#1082 by @Dipet)

Bugfixes

Fixed a problem that prevented A.RandomShadow from working with non-contiguous input. (#1117 by @i-aki-y)
A.PadIfNeeded now works with an arbitrary number of channels. (#1069 by @BloodAxe)
Fixed all np.random use cases to prevent identical values when using multiprocessing. (#1070 by @Dipet)
The slant param now has an effect in A.RandomRain. (#1179 by @victor1cea)
translate_percent now uses 0 as a default value in the A.Affine transform. (#1183 by @victor1cea)
A.SafeRotate no longer loses blocks and keypoints. (#1109 by @Dipet)
A.CropAndPad now correctly handles bboxes when keep_size=True. (#1059 by @cannon)
A.RandomCrop, A.RandomSizedCrop, and A.RandomSizedBBoxSafeCrop now sample last pixel. (#1080 by @Multihuntr)

Old code is refactored, and more type hints are added (#1052 by @Dipet).
A.Compose now warns the user if it receives a single augmentation instead of a sequence of augmentations. (#1055 by @Dipet)
A.CoarseDropout and A.RandomGridShuffle now support keypoints. (#1084 by @BloodAxe)
A.ToTensorV2 now supports the masks target. (#1097 by @alessiobonfiglio)
A.PadIfNeeded now supports random padding. (#1160 by @mys007 )
Improved and corrected documentation: #1047 by @shyn, #1164 by @notplus, #1105 by @i-aki-y
Speeded up tests by removing unnecessary tests. (#1188 by @creafz)
A.Affine now has keep_ratio flag. (#1104 by @i-aki-y)