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SafeRotate

Description

Rotate the input inside the input's frame by an angle selected randomly from the uniform distribution.

    This transformation ensures that the entire rotated image fits within the original frame by scaling it
    down if necessary. The resulting image maintains its original dimensions but may contain artifacts due to the
    rotation and scaling process.

    Args:
        limit (float, tuple of float): Range from which a random angle is picked. If limit is a single float,
            an angle is picked from (-limit, limit). Default: (-90, 90)
        interpolation (OpenCV flag): Flag that is used to specify the interpolation algorithm. Should be one of:
            cv2.INTER_NEAREST, cv2.INTER_LINEAR, cv2.INTER_CUBIC, cv2.INTER_AREA, cv2.INTER_LANCZOS4.
            Default: cv2.INTER_LINEAR.
        border_mode (OpenCV flag): Flag that is used to specify the pixel extrapolation method. Should be one of:
            cv2.BORDER_CONSTANT, cv2.BORDER_REPLICATE, cv2.BORDER_REFLECT, cv2.BORDER_WRAP, cv2.BORDER_REFLECT_101.
            Default: cv2.BORDER_REFLECT_101
        value (int, float, list of int, list of float): Padding value if border_mode is cv2.BORDER_CONSTANT.
        mask_value (int, float, list of int, list of float): Padding value if border_mode is cv2.BORDER_CONSTANT applied
            for masks.
        rotate_method (str): Method to rotate bounding boxes. Should be 'largest_box' or 'ellipse'.
            Default: 'largest_box'
        p (float): Probability of applying the transform. Default: 0.5.

    Targets:
        image, mask, bboxes, keypoints

    Image types:
        uint8, float32

    Note:
        - The rotation is performed around the center of the image.
        - After rotation, the image is scaled to fit within the original frame, which may cause some distortion.
        - The output image will always have the same dimensions as the input image.
    

Parameters

  • p: float (default: 0.5)
  • limit: int | tuple[int, int] | float | tuple[float, float] (default: (-90, 90))
  • 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)
  • border_mode: Literal['cv2.BORDER_CONSTANT', 'cv2.BORDER_REPLICATE', 'cv2.BORDER_REFLECT', 'cv2.BORDER_WRAP', 'cv2.BORDER_DEFAULT', 'cv2.BORDER_TRANSPARENT'] (default: 4)
  • value: float | Sequence[float] | None (default: null)
  • mask_value: float | Sequence[float] | None (default: null)
  • rotate_method: Literal['largest_box', 'ellipse'] (default: 'largest_box')

Targets

  • Image
  • Mask
  • BBoxes
  • Keypoints

Try it out

Original Image (width = 484, height = 733):

Original

Transformed Image:

Transform not yet applied