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Official implementation for the paper: Generating Smooth Pose Sequences for Diverse Human Motion Prediction

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Hi, thank you very much for sharing this project. I'm trying to use this code on my own data, which I've formatted in the same way as the H36m data...

In your line 20 of the train.py joint_loss, it writes: parts_idx = [(np.array(p) * 3).tolist() + (np.array(p) * 3 + 1).tolist() + (np.array(p) * 3 + 2).tolist() for p in...

Hi, I'm using 17 joints from https://github.com/facebookresearch/VideoPose3D Human3.6 data but I see that you only use 16 joints for valid_angle. Can you show me the names of those 16 joints...