Human 3.6m Dataset #67
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Added the dataset wrapper for the Human3.6m. Original implementations have it return a$32 \times 1$ pose for the 2d case and a $48 \times 1$ pose for the 3d case. Therefore, every implementation returned only one pose, making the entire dataset having around 2 million poses, which makes sense.
However, in our case we want a sequence of poses so we omit the last part where the sequence is "flattened", meaning every time step of the sequence counts as an individual sample. We only maintain the 3d skeleton (we only care about 3d skeleton forecasting) and we end up with 600 variable sequence length skeleton motions.
See
src/skelcast/data/dataset.pyfor the addition.Seems like that it can work with the
NTURGBDCollateFnWithRandomSampledContextWindowright away without modifications... not tested yet.