← Back to all transforms
RandomCrop
Description
Crop a random part of the input. Args: height: height of the crop. width: width of the crop. pad_if_needed (bool): Whether to pad if crop size exceeds image size. Default: False. pad_mode (OpenCV flag): OpenCV border mode used for padding. Default: cv2.BORDER_CONSTANT. pad_cval (number | tuple[number, number] | list[number]): Padding value for images if border_mode is cv2.BORDER_CONSTANT. Default: 0. pad_cval_mask (number | tuple[number, number] | list[number]): Padding value for masks if border_mode is cv2.BORDER_CONSTANT. Default: 0. pad_position (str): Position of padding ('center', 'top_left', 'top_right', 'bottom_left', 'bottom_right', 'random'). Default: 'center'. p: probability of applying the transform. Default: 1. Targets: image, mask, bboxes, keypoints Image types: uint8, float32 Note: If pad_if_needed is True and crop size exceeds image dimensions, the image will be padded before applying the random crop.
Parameters
- height: int (default: 320)
- width: int (default: 320)
- pad_if_needed: bool (default: false)
- pad_mode: Literal['cv2.BORDER_CONSTANT', 'cv2.BORDER_REPLICATE', 'cv2.BORDER_REFLECT', 'cv2.BORDER_WRAP', 'cv2.BORDER_DEFAULT', 'cv2.BORDER_TRANSPARENT'] (default: 0)
- pad_cval: int | float | tuple[int | float, int | float] | list[int | float] (default: 0)
- pad_cval_mask: int | float | tuple[int | float, int | float] | list[int | float] (default: 0)
- pad_position: Literal['center', 'top_left', 'top_right', 'bottom_left', 'bottom_right', 'random'] (default: 'center')
- p: float (default: 1)
Targets
- Image
- Mask
- BBoxes
- Keypoints
Try it out
ⓘ