- class torchvision.transforms.v2.UniformTemporalSubsample(num_samples: int)¶
[BETA] Uniformly subsample
num_samplesindices from the temporal dimension of the video.
The UniformTemporalSubsample transform is in Beta stage, and while we do not expect major breaking changes, some APIs may still change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753, and you can also check out https://github.com/pytorch/vision/issues/7319 to learn more about the APIs that we suspect might involve future changes.
Videos are expected to be of shape
[..., T, C, H, W]where
Tdenotes the temporal dimension.
num_samplesis larger than the size of temporal dimension of the video, it will sample frames based on nearest neighbor interpolation.
num_samples (int) – The number of equispaced samples to be selected