|View source on GitHub|
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.
|A Tensor of shape [timesteps, out_height, out_width, channels] of type uint8 with the cropped images.|