Bump albumentations from 1.4.21 to 1.4.23

[dependabot]

Bumps albumentations from 1.4.21 to 1.4.23.

Release notes

Sourced from albumentations's releases.

Albumentations 1.4.23 Release Notes

• Support Our Work
• Core
• Transforms
• Bugfixes

Support Our Work

1. Help Us Grow - If you find value in Albumentations, consider becoming a sponsor. Every contribution, no matter the size, helps us maintain and improve the library for everyone.
2. Show Your Support - If you enjoy using Albumentations, consider giving us a ⭐ on GitHub. It helps others discover the library and motivates our team.
3. Join Our Community - Have suggestions or ran into issues? We welcome your input! Share your experience in our GitHub issues or connect with us on Discord.

Core

Target images as numpy array

Now supports numpy arrays with shape (num_images, height, width, num_channels) or (num_images, height, width) as images in Compose

• Ideal for video processing applications
• Same transform applies to all images in the array

New 3D Data Support

• volume: (depth, height, width) or (depth, height, width, num_channels)
• mask3d: (depth, height, width) or (depth, height, width, num_channels)
• volumes: (num_volumes, depth, height, width) for batch processing
• masks3d: (num_volumes, depth, height, width) for batch processing

volume = np.random.rand(96, 256, 256) # Your 3D medical volume
mask = np.zeros((96, 256, 256)) # Your 3D segmentation mask
transformed = transform(volume=volume, mask3d=mask)
transformed_volume = transformed['volume']
transformed_mask = transformed['mask3d']

Transforms

Added 3D transforms by @​ternaus

Padding & Cropping

• Pad3D: Pad 3D volumes with flexible padding options
• PadIfNeeded3D: Conditional padding to meet minimum dimensions or divisibility requirements
• CenterCrop3D: Center cropping for 3D volumes
• RandomCrop3D: Random cropping of 3D volumes

transform = A.Compose([
    # Crop volume to a fixed size for memory efficiency
    A.RandomCrop3D(size=(64, 128, 128), p=1.0),    
    # Randomly remove cubic regions to simulate occlusions
    A.CoarseDropout3D(
        num_holes_range=(2, 6),
        hole_depth_range=(0.1, 0.3),
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... (truncated)

Commits

• a4302fc Introducing Albumentations Guru on Gurubase.io (#2204)
• 51b9089 Boost version (#2205)
• a958c85 Added CubicSymmetry (#2202)
• 3fbae7d Added CoarseDropout3D (#2201)
• bc6bf77 Added mask3d (#2200)
• eb7c9d1 Add RandomCrop3D and CenterCrop3D (#2198)
• 783dabb Add pad (#2197)
• 6a0ad9b Add pad if needed3d (#2196)
• 852dfef Fixed CenterCropPad incorrectly using fill value for the mask (#2195)
• 8e30be0 docs: fix inconsistency in YOLO normalization (#2194)
• Additional commits viewable in compare view

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[dependabot]

Superseded by #343.