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PadIfNeeded
Description
Pads the sides of an image if the image dimensions are less than the specified minimum dimensions. If the `pad_height_divisor` or `pad_width_divisor` is specified, the function additionally ensures that the image dimensions are divisible by these values. Args: min_height (int): Minimum desired height of the image. Ensures image height is at least this value. min_width (int): Minimum desired width of the image. Ensures image width is at least this value. pad_height_divisor (int, optional): If set, pads the image height to make it divisible by this value. pad_width_divisor (int, optional): If set, pads the image width to make it divisible by this value. position (Union[str, PositionType]): Position where the image is to be placed after padding. Can be one of 'center', 'top_left', 'top_right', 'bottom_left', 'bottom_right', or 'random'. Default is 'center'. border_mode (int): Specifies the border mode to use if padding is required. The default is `cv2.BORDER_REFLECT_101`. value (Union[int, float, list[int], list[float]], optional): Value to fill the border pixels if the border mode is `cv2.BORDER_CONSTANT`. Default is None. mask_value (Union[int, float, list[int], list[float]], optional): Similar to `value` but used for padding masks. Default is None. p (float): Probability of applying the transform. Default is 1.0. Targets: image, mask, bboxes, keypoints Image types: uint8, float32
Parameters
- p: float (default: 1)
- min_height: int | None (default: 1024)
- min_width: int | None (default: 1024)
- pad_height_divisor: int | None (default: null)
- pad_width_divisor: int | None (default: null)
- position: str (default: 'center')
- 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)
Targets
- Image
- Mask
- BBoxes
- Keypoints
Try it out
Original Image (width = 484, height = 733):
Transformed Image:
Transform not yet applied