HongwenZhang/PyMAF

Evaluation results and protocol of 3DPW

HospitableHost opened this issue · 7 comments

Hello, thank you so much for open sourcing such a nice work (PyMAF, ICCV 2021).
I use your pretrained model to evaluate on the dataset 3DPW(test split), but obtain a different result from the paper.
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So do you know where i am wrong?

In addition, I used VIBE's framework for evaluation.

Hi, is the gender models used in the evaluation? Besides, is the root position subtracted for the PVE evaluation?

Hi, is the gender models used in the evaluation? Besides, is the root position subtracted for the PVE evaluation?

Hey, in order to avoid mistakes, I specially used all npz files in your project to replace the vibe ones. So the gender model is the same.
PVE evaluation I used is VIBE code. And expect for PVE, MPJPE PA-MPJPE are both bad.
I just use PyMAF model to replace VIBE class, and make sure that the interface is consistent.

Hi, have you used the PyMAF code to perform the evaluation? It may help to find out the reason causing the difference.

Hi, have you used the PyMAF code to perform the evaluation? It may help to find out the reason causing the difference.

Yes, I used the PyMAF code to perform the evaluation, and I find that the data you use is not exactly the same as that of VIBE, although they are all from the test set.

We follow the data and code of SPIN to conduct the evaluation of PyMAF. I have not tested it on the VIBE data and code.

It seems that this issue is related to more than one repository such as VIBE and SPIN. I temporally close this issue. Please feel free to reopen it if anyone has more related information.