UniformTemporalSubsample¶

class torchaug.transforms.UniformTemporalSubsample(num_samples)[source]¶

Uniformly subsample num_samples indices from the temporal dimension of the video.

Videos are expected to be of shape [..., T, C, H, W] where T denotes the temporal dimension.

When num_samples is larger than the size of temporal dimension of the video, it will sample frames based on nearest neighbor interpolation.

Parameters:: num_samples (int) – The number of equispaced samples to be selected.