Feat/add least squares correction

[agfianf]

Add least squares to the Color Correction Module

This pull request introduces several exciting updates to the color correction module. Below is a summary of the key changes, new features, and improvements:

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🚀 Dependencies

• Added shapely: For geometric operations and calculations.
• Added colour-science: For advanced color science calculations.
  Both dependencies have been included in pyproject.toml.

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✨ Core Functionality

• BaseComputeCorrection Abstract Class:
  Defines the foundation for implementing various color correction techniques.
  Code Ref

• LeastSquaresRegression Class:
  Implements color correction using least squares regression for accurate and robust adjustments.
  Code Ref

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🖼️ Color Correction Service

• New ColorCorrection Class:
  Centralizes all color correction tasks, including:

  • Extracting color patches from detected regions.
  • Fitting correction models to align colors.
  • Applying corrections to input images.
  • Calculating and analyzing color differences.

  Find the implementation in color_correction.py.

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🛠️ Utility Functions

• Geometry Utilities (in geometry_processing.py):

  • Calculate IoU (Intersection over Union).
  • Convert between box formats.
  • Suggest missing patch coordinates for incomplete detections.

• Image Processing Utilities (in image_processing.py):

  • Crop regions with custom margins.
  • Compute mean RGB values from patches.
  • Generate image patches and display grids for visualization.

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🔧 Minor Fixes

• Removed an unused debug print statement in the nms function within yolo_utils.py. 🧹