Nguyễn Quí Vinh Quang
Nguyễn Quí Vinh Quang
You can change self.smpl_model_path in this [line](https://github.com/Arthur151/ROMP/blob/master/simple_romp/trace2/main.py#L133) to self.smpl_path
The same.
Hi, how can you evaluate the 3DPW SMPL pose? Since the multi-hmr model predicts the SMPL-X pose, I guess that you will convert the SMPL-X mesh to SMPL mesh like...
Hi @fabienbaradel, I noticed that you're using this [code](https://github.com/Arthur151/ROMP/blob/4eebd3647f57d291d26423e51f0d514ff7197cb3/simple_romp/evaluation/eval_cmu_panoptic.py#L286C5-L286C19) matching the predicted and ground truth poses. However, I observed that this function sets missing_punish to the ground truth pose error,...
Hi @fabienbaradel, I tried implementing the evaluation code based on your suggestion. However, the result on the 3DPW test set I reproduced is as follows:  I also observed that...
Thank you for releasing the training and evaluation code. Also, congratulations on having your paper accepted to ECCV 😄
Hi there, Could you release the dataloader for the MuPoT and CMU datasets? Moreover, I tried to run the evaluation code with checkpoint 672L, and the result was quite different...
Sorry for the late response; I have rerun and got the result as close as in the paper. Thank you very much 😄