tfm.vision.preprocess_ops_3d.sample_sequence

Samples a single segment of size num_steps from a given sequence.

tfm.vision.preprocess_ops_3d.sample_sequence(
    sequence: tf.Tensor,
    num_steps: int,
    random: bool,
    stride: int,
    seed: Optional[int] = None
) -> tf.Tensor

If random is not True, this function will simply sample the central window of the sequence. Otherwise, a random offset will be chosen in a way that the desired num_steps might be extracted from the sequence.

Args
`sequence`	Any tensor where the first dimension is timesteps.
`num_steps`	Number of steps (e.g. frames) to take.
`random`	A boolean indicating whether to random sample the single window. If `True`, the offset is randomized. If `False`, the middle frame minus half of `num_steps` is the first frame.
`stride`	Distance to sample between timesteps.
`seed`	A deterministic seed to use when sampling.

Returns
A single `tf.Tensor` with first dimension `num_steps` with the sampled segment.

tfm.vision.preprocess_ops_3d.sample_sequence

Args

Returns