Open cga-cmu opened 6 months ago
Well PHALP used underlying HMR which does not predict hands and feet. I suppose you could train another model using MANO that does do hands and include coco whole body 2d keypoints model in your synthetic ground truth to re-train the HMR2 model to include foot keypoints.
I know they released HaMER (geopavlakos / hamer which does do the hands. Maybe you can combine this alongside with a re-trained HMR2 head with feet keypoints. If you manage to do this, lmk because I am interested in a fully body, accurate tracking as well.
I get the message WARNING: You are using a SMPL model, with only 10 shape coefficients.
How do I use a more complex model such as SMPL-X, which does a better job on hands and feet?
Thanks Chris Atkeson