Update motion blur

[ternaus]

Addresses: #2101

Summary by Sourcery

Enhancements:

• Enhance the MotionBlur transform to support directional kernels with controllable angle, direction, and position.

[sourcery-ai]

Reviewer's Guide by Sourcery

This PR enhances the MotionBlur transform by introducing more precise control over motion blur effects. The implementation replaces the previous random line-based kernel generation with a more sophisticated directional kernel system that offers control over angle, direction, and position of the blur effect.

Updated class diagram for MotionBlur

classDiagram
    class MotionBlur {
        -int|tuple[int, int] blur_limit
        -bool allow_shifted
        -tuple[float, float] angle_range
        -tuple[float, float] direction_range
        -float p
        +apply(np.ndarray img, np.ndarray kernel, **params: Any) np.ndarray
        +get_transform_init_args_names() tuple[str, ...]
        +get_params() dict[str, Any]
    }
    class Blur {
        <<abstract>>
    }
    MotionBlur --|> Blur
    note for MotionBlur "Enhanced with angle_range and direction_range for directional blur control"

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Class diagram for create_motion_kernel function

classDiagram
    class create_motion_kernel {
        +np.ndarray create_motion_kernel(int kernel_size, float angle, float direction, bool allow_shifted, Random random_state)
    }
    note for create_motion_kernel "Generates a directional motion blur kernel with angle and direction control"

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File-Level Changes

Change	Details	Files
Implemented new motion blur kernel generation with controllable parameters	Added new parameters angle_range and direction_range for controlling blur orientation and bias Created new create_motion_kernel function for generating directional blur kernels Replaced random line generation with trigonometric-based kernel creation Added support for direction bias to control blur distribution	albumentations/augmentations/blur/functional.py albumentations/augmentations/blur/transforms.py
Enhanced documentation and examples	Added detailed explanations of angle and direction parameters Included visual examples of different blur configurations Added comprehensive references to related research and implementations Updated code examples to demonstrate common use cases	albumentations/augmentations/blur/transforms.py
Added parameter validation and type annotations	Added validation for angle_range and direction_range parameters Implemented range bound checking for direction values Updated transform initialization schema with new parameters	albumentations/augmentations/blur/transforms.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: 1 issue found
• 🟢 Security: all looks good
• 🟢 Testing: all looks good
• 🟢 Complexity: all looks good
• 🟢 Documentation: all looks good

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[codecov]

Codecov Report

Attention: Patch coverage is 97.22222% with 1 line in your changes missing coverage. Please review.

Project coverage is 90.34%. Comparing base (b1a79c2) to head (297daa0).
Report is 286 commits behind head on main.

Files with missing lines	Patch %	Lines
albumentations/augmentations/blur/functional.py	96.00%	1 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff            @@
##           main    #2154       +/-   ##
=========================================
+ Coverage      0   90.34%   +90.34%     
=========================================
  Files         0       48       +48     
  Lines         0     8399     +8399     
=========================================
+ Hits          0     7588     +7588     
- Misses        0      811      +811     

☔ View full report in Codecov by Sentry.
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