tfm.vision.preprocess_ops_3d.sample_segment_sequence
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Samples a single segment of size num_frames
from a given sequence.
tfm.vision.preprocess_ops_3d.sample_segment_sequence(
sequence: tf.Tensor,
num_frames: int,
is_training: bool,
seed: Optional[int] = None
) -> tf.Tensor
This function follows the temporal segment network sampling style
(https://arxiv.org/abs/1608.00859). The video sequence would be divided into
num_frames
non-overlapping segments with same length. If is_training
is
True
, we would randomly sampling one frame for each segment, and when
is_training
is False
, only the center frame of each segment is sampled.
Args |
sequence
|
Any tensor where the first dimension is timesteps.
|
num_frames
|
Number of frames to take.
|
is_training
|
A boolean indicating sampling in training or evaluation mode.
|
seed
|
A deterministic seed to use when sampling.
|
Returns |
A single tf.Tensor with first dimension num_steps with the sampled
segment.
|
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Last updated 2024-02-02 UTC.
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{"lastModified": "Last updated 2024-02-02 UTC."}
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