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We use it to embed 25 joints into 5 parts to extract higher-level semantic features.
BTW, you can simply uncomment A_embed = torch.ones([A.size(0), A.size(1), group_num]) in HPGNet to let the network learn clusters itself. This operation won't decrease the performance.
Would you please tell me A_25 = np.array([[... means ?
If I use 17 key points, how to modify this variable ?
thanks
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