github albumentations-team/albumentations 1.4.5
Albumentations 1.4.5 Release Notes

latest releases: 1.4.7, 1.4.6
18 days ago
  • Support our work
  • Highlights
  • Deprecations
  • Improvements and bug fixes

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Highlights

Bbox clipping

Before version 1.4.5 it was assumed that bounding boxes that are fed into the augmentation pipeline should not extend outside of the image.

Now we added an option to clip boxes to the image size before augmenting them. This makes pipeline more robust to inaccurate labeling

Example:

Will fail if boxes extend outside of the image:

transform = A.Compose([    
    A.HorizontalFlip(p=0.5)    
], bbox_params=A.BboxParams(format='coco'))

Clipping bounding boxes to the image size:

transform = A.Compose([    
    A.HorizontalFlip(p=0.5)    
], bbox_params=A.BboxParams(format='coco', clip=True))

by @ternaus

SelectiveChannelTransform

Added SelectiveChannelTransform that allows to apply transforms to a selected number of channels.

For example it could be helpful when working with multispectral images, when RGB is a subset of the overall multispectral stack which is common when working with satellite imagery.

Example:

aug = A.Compose(
        [A.HorizontalFlip(p=0.5),
        A.SelectiveChannelTransform(transforms=[A.ColorJItter(p=0.5),
        A.ChromaticAberration(p=0.5))], channels=[1, 2, 18], p=1)],
    )

Here HorizontalFlip applied to the whole multispectral image, but pipeline of ColorJitter and ChromaticAberration only to channels [1, 2, 18]

by @ternaus

Deprecations

CoarseDropout

Old way:

transform = A.Compose([A.CoarseDropout(
  min_holes = 5,
  max_holes = 8,
  min_width = 3,
  max_width = 12,
  min_height = 4,
  max_height = 5
)])

New way:

transform = A.Compose([A.CoarseDropout(
  num_holes_range=(5, 8),
  hole_width_range=(3, 12),
  hole_height_range=(4, 5)
)])

As of now both ways work and will provide the same result, but old functionality will be removed in later releases.

@ternaus

Improvements and bug fixes

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