build(deps): update albumentations requirement from <=1.3.1 to <=1.4.12 in /requirements

[dependabot]

Updates the requirements on albumentations to permit the latest version.

Release notes

Sourced from albumentations's releases.

Albumentations 1.4.12 Release Notes

• Support Our Work
• Transforms
• Core Functionality
• Deprecations
• Improvements and Bug Fixes

Support Our Work

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Transforms

Added TextImage transform

Allows adding text on top of images. Works with np,unit8 and np.float32 images with any number of channels.

Additional functionalities:

• Insert random stopwords
• Delete random words
• Swap word order

Example notebook

Core functionality

Added images target

You can now apply the same transform to a list of images of the same shape, not just one image.

Use cases:

• Video: Split video into frames and apply the transform.
• Slices of 3D volumes: For example, in medical imaging.

import albumentations as A
transform = A.Compose([A.Affine(p=1)])
transformed = transform(images=<list of images>)
transformed_images = transformed["images"]

Note: You can apply the same transform to any number of images, masks, bounding boxes, and sets of keypoints using the additional_targets functionality notebook with examples

Contributors @​ternaus, @​ayasyrev

... (truncated)

Commits

• bc42cc7 Version boosted to 1.4.12 (#1858)
• 2af5cde Remove get_params_dependent_on_targets (#1857)
• 8d5c775 Add textimage (#1848)
• 8244a4b Fix padding (#1856)
• bc54975 Show in check message how to disable checks (#1855)
• ccfccd7 Remove scikit learn (#1854)
• 3fe2d36 Add get_params_dependent_on_data method to transform interface. (#1847)
• c87c214 Add shape to params (#1846)
• 9bc3702 Apply images (#1844)
• 99fc53b merge (#1843)
• Additional commits viewable in compare view

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[dependabot]

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