I am currently building a dataset in order to fine tune the model for my own action rec taskl.
I have extracted keypoints using Alphapose as mentioned in inference_wild.py using :
1) Person detection
2) HRNET
Looking at the NTU60 dataset, 1020 x 1080 seem to be there input image shape. But, my inputs will probably be smaller due to the bounding box extraction.
Would you advise to train using the cropped person as input or the entire image containing the image ?
Hi,
I am currently building a dataset in order to fine tune the model for my own action rec taskl. I have extracted keypoints using Alphapose as mentioned in inference_wild.py using :
1) Person detection 2) HRNET
Looking at the NTU60 dataset, 1020 x 1080 seem to be there input image shape. But, my inputs will probably be smaller due to the bounding box extraction.
Would you advise to train using the cropped person as input or the entire image containing the image ?
Best