tfm.vision.preprocess_ops_3d.random_crop_resize

First crops clip with jittering and then resizes to (output_h, output_w).

tfm.vision.preprocess_ops_3d.random_crop_resize(
    frames: tf.Tensor,
    output_h: int,
    output_w: int,
    num_frames: int,
    num_channels: int,
    aspect_ratio: Tuple[float, float],
    area_range: Tuple[float, float]
) -> tf.Tensor

frames A Tensor of dimension [timesteps, input_h, input_w, channels].
output_h Resized image height.
output_w Resized image width.
num_frames Number of input frames per clip.
num_channels Number of channels of the clip.
aspect_ratio Float tuple with the aspect range for cropping.
area_range Float tuple with the area range for cropping.

A Tensor of shape [timesteps, output_h, output_w, channels] of type frames.dtype.