GridElasticDeform

Description

Grid-based Elastic deformation Albumentations implementation

    This class applies elastic transformations using a grid-based approach.
    The granularity and intensity of the distortions can be controlled using
    the dimensions of the overlaying distortion grid and the magnitude parameter.
    Larger grid sizes result in finer, less severe distortions.

    Args:
        num_grid_xy (tuple[int, int]): Number of grid cells along the width and height.
            Specified as (grid_width, grid_height). Each value must be greater than 1.
        magnitude (int): Maximum pixel-wise displacement for distortion. Must be greater than 0.
        interpolation (int): Interpolation method to be used for the image transformation.
            Default: cv2.INTER_LINEAR
        mask_interpolation (int): Interpolation method to be used for mask transformation.
            Default: cv2.INTER_NEAREST
        p (float): Probability of applying the transform. Default: 1.0.

    Targets:
        image, mask

    Image types:
        uint8, float32

    Example:
        >>> transform = GridElasticDeform(num_grid_xy=(4, 4), magnitude=10, p=1.0)
        >>> result = transform(image=image, mask=mask)
        >>> transformed_image, transformed_mask = result['image'], result['mask']

    Note:
        This transformation is particularly useful for data augmentation in medical imaging
        and other domains where elastic deformations can simulate realistic variations.
    

Parameters

• p: float (default: 1)
• num_grid_xy: tuple[int, int] (default: null)
• magnitude: int (default: null)
• interpolation: Literal['cv2.INTER_NEAREST', 'cv2.INTER_LINEAR', 'cv2.INTER_CUBIC', 'cv2.INTER_AREA', 'cv2.INTER_LANCZOS4', 'cv2.INTER_BITS', 'cv2.INTER_NEAREST_EXACT', 'cv2.INTER_MAX'] (default: 1)
• mask_interpolation: Literal['cv2.INTER_NEAREST', 'cv2.INTER_LINEAR', 'cv2.INTER_CUBIC', 'cv2.INTER_AREA', 'cv2.INTER_LANCZOS4', 'cv2.INTER_BITS', 'cv2.INTER_NEAREST_EXACT', 'cv2.INTER_MAX'] (default: 0)

Targets

• Image
• Mask

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