- 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 disruptive breaking changes, some APIs may slightly change according to user feedback. Please submit any feedback you may have in this issue: https://github.com/pytorch/vision/issues/6753.
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