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

Args
`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.

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

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Last updated 2024-02-02 UTC.

tfm.vision.preprocess_ops_3d.random_crop_resize

Args

Returns