search

hongsukchoi / 3DCrowdNet_RELEASE

Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
MIT License
155 stars 15 forks source link

Evaluate CMU-Panoptic Code #9

Closed YangChangHee closed 2 years ago

YangChangHee commented 2 years ago

Thank you for your work!

Can you please provide the code and json file(2D Pose Result) to evalution on the CMU-Panoptic dataset?

================================================================================= 안녕하세요! Github에 논문 코드를 올려주셔서 감사합니다!

Code를 확인해본 결과 CMU-Panoptic 결과를 내면서 사용한 python file과 2D Pose estimation json 파일이 없는 것 같아서 요청드리고자 이슈에 올렸습니다!

감사합니다

hongsukchoi commented 2 years ago

Experiments on CMU-Panoptic is done by another author long time ago. You can refer to the code of Jiang, W.; Kolotouros, N.; Pavlakos, G.; Zhou, X.; and Dani- ilidis, K. 2020. Coherent reconstruction of multiple humans from a single image. In CVPR. We referred their code for evaluation.

Or I could provide messy and raw codes, which might not work readily but worth looking.

YangChangHee commented 2 years ago

I`d really appreciate it if you could give me the raw code

raw codes를 제공해주신다면 정말 감사할 것 같습니다!

hongsukchoi commented 2 years ago

메일로 보냈습니다~

YangChangHee commented 2 years ago

감사합니다!