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[3DV 2022] Pytorch implementation for 3D Event-based Human Pose Estimation

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What should I do with the downloaded dataset? root_train_data_dir = 'W:\\模型\EventPointPose-main\\DHP19EPC_dataset\\train_MeanLabel_extract' # path of valid data root_valid_data_dir = 'W:\\模型\EventPointPose-main\\DHP19EPC_dataset\\test_MeanLabel_extract' train_dataset = DHP19EPC( args, root_data_dir=root_train_data_dir + 'data//', root_label_dir=root_train_data_dir + 'label//', root_3Dlabel_dir=root_train_data_dir...

The following errors have been corrected. - [Function 'nanmean' (input argument of type 'single') is undefined. #4](https://github.com/MasterHow/EventPointPose/issues/4) - Cannot import classes in `models` directory when running `python evaluate/evaluate.py` to evaluate...