ziniuwan / maed

[ICCV 2021] Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation

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Can you provide pretrained weights?

Realdr4g0n opened this issue · comments

Thanks for your implementation.
Can you provide the pretrained weights for this model?

commented

Can you provide the model_best.pth.tar, thanks @ziniuwan

Hi! I have added the google drive link of a Pytorch checkpoint file in the README file. Good luck!

commented

thanks @ziniuwan , I found that I used this model, and the results were not consistent with your report,such as “PVE”, so on
image

CUDA_VISIBLE_DEVICES=0 python eval.py --cfg configs/config_stage2.yaml --pretrained ./model_data/model_best.pth.tar --eval_set test

Hi @zhLawliet

When I use the same command line as you used, I got the following errors. How did you solve this?

image

commented

@hdjang change the view by reshape
rel_joints.reshape(-1, 3, 1).reshape(-1, joints.shape[1], 4, 4)

@hdjang This is a version conflict between smplx and PyTorch. We also found the errors during experiments. Modifying all the view() to reshape() wherever the errors indicate in the smplx code as @zhLawliet said could solve the problems.

Thanks for instant replies! @zhLawliet , @ziniuwan