chore(deps): update albumentations requirement from <=1.3.1,>=1.1.0 to >=1.1.0,<=2.0.8 in the python-dependencies group

[dependabot]

Updates the requirements on albumentations to permit the latest version.
Updates albumentations to 2.0.8

Release notes

Sourced from albumentations's releases.

🛠 Albumentations 2.0.8 Release Notes

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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.

Commits

• 4d2cf04 Version boosted to 2.0.8 (#2538)
• e217a8a Add area to resized crop (#2537)
• 35b912f Small fixes (#2536)
• fdeb355 Vectorized Dropout (#2535)
• 69fbf90 Adding apply_to_images to Pad (#2534)
• 850fa46 Apply resize in the loop (#2532)
• 117a105 Bugfix in MotionBlur (#2529)
• b914077 Speedup random resized crop (#2528)
• 218d663 Fix in huggingface hub (#2526)
• c9cb772 Version boosted to 2.0.7 (#2522)
• Additional commits viewable in compare view

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