0.5.0

Breaking changes

• Albumentations now explicitly checks that all inputs to augmentations are named arguments and raise an exception otherwise. So if an augmentation receives input like aug(image) instead of aug(image=image), Albumentations will raise an exception. (#560)
• Dropped support of Python 3.5 (#709)
• Keypoints and bboxes are checked for visibility after each transform (#566)

New transformations

• A.FDA transform for Fourier-based domain adaptation. (#685)
• A.HistogramMatching transform that applies histogram matching. (#708)
• A.ColorJitter transform that behaves similarly to ColorJitter from torchvision (though there are some minor differences due to different internal logic for working with HSV colorspace in Pillow, which is used in torchvision and OpenCV, which is used in Albumentations). (#705)

Minor changes

• A.PadIfNeeded now accepts additional pad_width_divisor, pad_height_divisor (None by default) to ensure image has width & height that is dividable by given values. (#700)
• Added support to apply A.CoarseDropout to masks via mask_fill_value. (#699)
• A.GaussianBlur now supports the sigma parameter that sets standard deviation for Gaussian kernel. (#674, #673) .

Bugfixes

• Fixed bugs in A.HueSaturationValue for float dtype. (#696, #710)
• Fixed incorrect rounding error on bboxes in YOLO format. (#688)