Can pass images as np.array (num_images, height, width, num_channels)

[ternaus]

Summary by Sourcery

Allow images to be passed as numpy arrays with shape (num_images, height, width, num_channels) to transformation functions, ensuring output format consistency. Update tests to cover both list and numpy array input formats.

New Features:

• Enable passing images as numpy arrays with shape (num_images, height, width, num_channels) to the transformation functions.

Enhancements:

• Ensure that transformed images maintain the same format as the input, whether as a list or a numpy array.

Tests:

• Add parameterized tests to verify that transformations work correctly with both list and numpy array formats for images.

[sourcery-ai]

Reviewer's Guide by Sourcery

This PR adds support for passing multiple images as a numpy array with shape (num_images, height, width, num_channels) instead of only supporting lists of images. The implementation modifies the core transform interface to handle both array and list formats while maintaining backward compatibility.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change	Details	Files
Added support for numpy array input format in the transform interface	Modified apply_to_images to handle both numpy arrays and lists of images Added input validation for numpy array format (3D or 4D arrays) Ensured output format matches input format (array or list) Added memory contiguity requirement for numpy array outputs	albumentations/core/transforms_interface.py
Updated data validation in composition module	Modified _check_multi_data to support numpy array input format Added validation for array dimensions (3D or 4D) Updated documentation to reflect new input format options	albumentations/core/composition.py
Added tests for numpy array input format	Extended test_images_as_target to handle both array and list formats Added verification of output format matching input format Added checks for array contiguity	tests/test_core.py

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[sourcery-ai]

Hey @ternaus - I've reviewed your changes and they look great!

Here's what I looked at during the review

• 🟢 General issues: all looks good
• 🟢 Security: all looks good
• 🟡 Testing: 3 issues found
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[codecov]

Codecov Report

Attention: Patch coverage is 73.33333% with 4 lines in your changes missing coverage. Please review.

Project coverage is 89.76%. Comparing base (b1a79c2) to head (59a993e).
Report is 307 commits behind head on main.

Files with missing lines	Patch %	Lines
albumentations/augmentations/transforms.py	66.66%	2 Missing ⚠️
albumentations/core/composition.py	60.00%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff            @@
##           main    #2185       +/-   ##
=========================================
+ Coverage      0   89.76%   +89.76%     
=========================================
  Files         0       47       +47     
  Lines         0     8448     +8448     
=========================================
+ Hits          0     7583     +7583     
- Misses        0      865      +865     

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