A python interface to work with the NTURGB-D dataset by shahroudy.
If you wan't to use this project you have to do the following:
-> install python3 ( Anaconda or something )
-> install numpy ( pip3 -install numpy )
-> install bresenham ( pip3 -install bresenham )
-> create a folder and add all the files of the project
-> create the following subfolder:
-> data ( actually only for the masked depth files )
-> skeleton
-> download the Dataset: https://github.com/shahroudy/NTURGB-D
-> distribute the files from the dataset to the previously created folders ( skeleton & data )
-> open a terminal and switch to the project then type: ./ppe -h
-> read the description for further information
Loading the RGB data and the unmasked Depth files isn't actually part of the project but will follow.
Cheers
Citation ( source: https://github.com/shahroudy/NTURGB-D )
To cite the NTU RGB+D dataset, please use this bibtex record:
@InProceedings{Shahroudy_2016_CVPR, author = {Shahroudy, Amir and Liu, Jun and Ng, Tian-Tsong and Wang, Gang}, title = {NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2016} }