Questions for training codes about grabnet HOT 2 CLOSED

Hi @SeanChenxy

Thank you for your interest in our work.

1. This is a good question. One can also set the self.rhm_train model parameters with require_grad but I think it will have no effect on the training. During the model (GrabNet) training, the MANO parameters are generated using GrabNet which means they will require_grad enabled in any case (and they replace the initial MANO parameters that we define). So, I assume changing it to require_grad would not break anything.

2. The detailed instruction on what is included in the dataset will be added to the website and repo soon. The ground_truth hand parameters are the ones without any extension at the end like fpose_rhand_rotmat. The _f at the end stands for "fake" and shows the parameters that we used as input when training RefineNet. In other words, the parameters with _f at the end, are the ground_truth parameters when we added random noise to them.

I hope these answer your questions.

from grabnet.

I got it. Thanks a lot.

from grabnet.