tfm.vision.preprocess_ops_3d.crop_image

Crops the image sequence of images.

tfm.vision.preprocess_ops_3d.crop_image(
    frames: tf.Tensor,
    target_height: int,
    target_width: int,
    random: bool = False,
    num_crops: int = 1,
    seed: Optional[int] = None
) -> tf.Tensor

If requested size is bigger than image size, image is padded with 0. If not random cropping, a central crop is performed if num_crops is 1.

Args
frames	A Tensor of dimension [timesteps, in_height, in_width, channels].
target_height	Target cropped image height.
target_width	Target cropped image width.
random	A boolean indicating if crop should be randomized.
num_crops	Number of crops (support 1 for central crop and 3 for 3-crop).
seed	A deterministic seed to use when random cropping.

Returns
A Tensor of shape [timesteps, out_height, out_width, channels] of type uint8 with the cropped images.