3DCrowdNet_RELEASE
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hongsukchoi
Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022
Hi, Thank you for your fantastic work! However, I tried to reproduce table8. using the command `python train.py --amp --continue --gpu 0 --cfg ../assets/yaml/3dpw.yml` and got the result below: ```...
Hi, thanks for sharing your code. I notice that this model inputs the cropped and resized image and is trained to predict SMPL parameters and camera parameters once a person....
Hi, have you ever had a situation where the result of a retest is different from the result of the last test, and what may be the reason for this?
There is no place in the code to calculate 3dpck, can you describe in detail how pck is calculated?
i found that you crop the closest person for 3d datasets if have multiple person in one image, but for 2d dataset you may crop all persons in one image....
If I want to infer my own image using the demo.py, how can I get the json file of 2D poses result?
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?
Sorry to bother you again. :( I have a question about the SMPL parameters in the 3dpw dataset you offered. I noticed the pose parameter (72,) and trans parameters (3,)...
Hi, I tried to reproduce table 8 without pre-trained ResNet-50 weights of xiao2018simple. My training command is `python train.py --amp --gpu 0 --cfg ../assets/yaml/3dpw_crowd.yml` and the config file is :...
Hello, according to the paper, I can see that the image has 2Dpose input, but in the code, I don't see where the 2Dpose input comes from. Could you please...
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Official Pytorch implementation of "Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes", CVPR 2022