thanks for sharing your implementation, I was wondering if you could share the files below, or just a snippet that shows its format would also work:
data_path = "./data/NTU-RGB-D/xview/val_data.npy"
label_path = "./data/NTU-RGB-D/xview/val_label.pkl"
I am working with my own custom dataset, I used the format for the 2D with kinetics skeleton dataset, so I got the json format similar to openpose. Now, I want to use the 3D version with my custom dataset, and it seems the NTU-RGB-D dataset is huge and its format is very complicated, I see that using the tools you create a middle format and then read it in (the files above), I want to bypass all this format reading in and conversion and I want to figure out how I can read in the 3D dataset in a similar way to kinetics dataset, meaning only X,Y,Z coordinates of 5 joints (2 actors per frame) and the probability of the joint node coordinates. Can you share these files so that I can use this middle format instead of all the conversions required with the NTU dataset.
thanks for sharing your implementation, I was wondering if you could share the files below, or just a snippet that shows its format would also work:
data_path = "./data/NTU-RGB-D/xview/val_data.npy" label_path = "./data/NTU-RGB-D/xview/val_label.pkl"
I am working with my own custom dataset, I used the format for the 2D with kinetics skeleton dataset, so I got the json format similar to openpose. Now, I want to use the 3D version with my custom dataset, and it seems the NTU-RGB-D dataset is huge and its format is very complicated, I see that using the tools you create a middle format and then read it in (the files above), I want to bypass all this format reading in and conversion and I want to figure out how I can read in the 3D dataset in a similar way to kinetics dataset, meaning only X,Y,Z coordinates of 5 joints (2 actors per frame) and the probability of the joint node coordinates. Can you share these files so that I can use this middle format instead of all the conversions required with the NTU dataset.