简体中文 | English
NTU-RGB+D contains 60 action classes and 56,880 video samples for skeleton-based action recognition. Please refer to its official websiteNTU-RGB+D for more details.
The dataset contains two splits when dividing the training set and test set. For Cross-subject, the dataset is divided according to character id, with 40320 samples in training set and 16560 samples in test set. For Cross-view, the dataset is divided according to camera division. The samples collected by cameras 2 and 3 are training sets, including 37930 samples, and the samples collected by camera 1 are test sets, including 18960 samples.
We provide the download link of the processed dataset NTU-RGB-D.tar(~3.1G). Please download and unzip with tar -zxvf NTU-RGB-D.tar
, the directory structure is as follows:
─── NTU-RGB-D
├── xsub
│ ├── train_data.npy
│ ├── train_label.pkl
│ ├── val_data.npy
│ └── val_label.pkl
└── xview
├── train_data.npy
├── train_label.pkl
├── val_data.npy
└── val_label.pkl
This is a copies from st-gcn.