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hongsukchoi / 3DCrowdNet_RELEASE

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
MIT License
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How to reproduce the result in table6 and table7? #18

Closed xljh0520 closed 1 year ago

xljh0520 commented 1 year ago

Hi, thanks for sharing your code. I'm wondering how to reproduce the result in table6 and table7. Could your offer your preprocessed json file, config file and dataset file?

hongsukchoi commented 1 year ago

Hi, I think I used almost the same configuration of 3dpw.yml.

xljh0520 commented 1 year ago

Hi, I think I used almost the same configuration of 3dpw.yml.

Thanks for your reply. Could you offer the annotation files you preprocessed about MuPoTS and CMU-Panoptic dataset? If not, Could you share the code you use to preprocess the annotation files?

hongsukchoi commented 1 year ago

I didn't preprocess MuPoTS. For CMU-Panoptic, I followed Jiang's work. Wen Jiang, Nikos Kolotouros, Georgios Pavlakos, Xiaowei Zhou, and Kostas Daniilidis. Coherent reconstruction of multiple humans from a single image