Normalize by image

[ternaus]

Summary by Sourcery

This pull request introduces new normalization functions for images, refactors existing image processing operations into helper functions, and adds comprehensive tests to ensure the correctness of the new features. Additionally, it updates the pre-commit configuration to use the latest version of ruff.

• New Features:
  • Introduced new normalization functions: normalize_per_image_opencv, normalize_per_image_numpy, and normalize_per_image_lut for different normalization types including 'image', 'image_per_channel', 'min_max', and 'min_max_per_channel'.
  • Added a new normalize_per_image function that selects the appropriate normalization method based on the image data type and number of channels.
• Enhancements:
  • Refactored existing LUT, OpenCV, and NumPy operations into separate helper functions (apply_lut, apply_opencv, apply_numpy) to streamline the code and reduce redundancy.
• Build:
  • Updated .pre-commit-config.yaml to use ruff version v0.4.8.
• Tests:
  • Added new test cases in tests/test_normalize_per_image.py to validate the new normalization functions across different data types and normalization methods.

[sourcery-ai[bot]]

Reviewer's Guide by Sourcery

This pull request introduces a new normalization feature for images, adding support for various normalization methods (image, image_per_channel, min_max, min_max_per_channel) using different backends (OpenCV, NumPy, and LUT). It also refactors existing functions to use a more modular approach and updates the benchmark and test files accordingly.

File-Level Changes

Files	Changes
albucore/functions.py albucore/utils.py	Refactored existing functions and added new normalization functions with support for different backends and methods.
benchmark/benchmark.py benchmark/results/float32_1.md benchmark/results/uint8_1.md	Updated benchmark files to include new normalization methods and their results.
tests/test_normalize_per_image.py	Added comprehensive test cases for the new normalization functions.

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 72.14612% with 61 lines in your changes missing coverage. Please review.

Please upload report for BASE (main@35e25fc). Learn more about missing BASE report.

Files	Patch %	Lines
benchmark/benchmark.py	0.00%	44 Missing :warning:
tests/test_normalize_per_image.py	80.39%	10 Missing :warning:
albucore/functions.py	94.21%	7 Missing :warning:

Additional details and impacted files

```diff @@ Coverage Diff @@ ## main #14 +/- ## ======================================= Coverage ? 58.50% ======================================= Files ? 14 Lines ? 1176 Branches ? 0 ======================================= Hits ? 688 Misses ? 488 Partials ? 0 ```

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