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简体中文 | English

NTU-RGB+D Preparation


Introduction

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.

Download

We provide the download link of the processed dataset NTU-RGB-D.tar(~3.1G). Please download and unzip, 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.