Name | Modified | Size | Downloads / Week |
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Parent folder | |||
Albumentations 2.0.8 Release Notes source code.tar.gz | 2025-05-27 | 716.1 kB | |
Albumentations 2.0.8 Release Notes source code.zip | 2025-05-27 | 793.2 kB | |
README.md | 2025-05-27 | 2.4 kB | |
Totals: 3 Items | 1.5 MB | 1 |
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Improvements
Added area_for_downscale
to RandomResizedCrop and RandomSizedCrop
parameter may have value:
- image
- image_mask
- None
When enabled will use interpolation that was passed to the transform for upscale, but cv2.INTER_AREA
for downscale, as for downscale INTER_AREA
generates the least amount of artifacts.
Speedups
Vectorized application to videos and volume in
- CoarseDropout, Erasing and ConstrainedCoarseDropout. (5.2x speedup) @huydoanx172
- Pad, PadIfNeeded. (3.5x speedup) by @martinsbruveris
When applied to videos Albumentations on 1 CPU core is still, slower than torchvision on GTX 4090, (Benchmark on videos). But with such pull requests, the gap. hopefully, will get smaller.
Bugfixes
- Fixed bug in MotionBlur, direction argument was not used.
- Bugfix in saving / loading piplines to huggingface hub. Now it works in windows as well.