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Thanks a lot for sharing the Simplify-X fits for H36M. Did you use 3d loss when fitting? I found that his side view is slanted, indicating that the depth is incorrect
![企业微信截图_da506ca2-92b9-4453-a86b…
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I used the config and script in repo, but get errors
python3 train.py \
--config experiments/human36m/train/human36m_alg.yaml \
--logdir ./logs
do I miss something? the error shown as below
…
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I found that the front/back normal maps are also used as input to the encoder and image to generate three-plane features. I want to know why? Will the result be improved?
Reading the code, I found…
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I noticed that the parsed data is a little different from the original dataset (e.x. 3DPW). Could you please provide the code to generate parsed data?
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### Prerequisite
- [X] I have searched [Issues](https://github.com/open-mmlab/mmpose/issues) and [Discussions](https://github.com/open-mmlab/mmpose/discussions) but cannot get the expected help.
- [X…
11610 updated
7 months ago
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Hi,
Once i have the UV maps for the images after using create_uv_maps.py , how do i construct a SMPL model out of it?
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Thanks for your wonderful work, I want to know how to generate corresponding bbox_list and root_depth_list for my own dataset,
Thanks a lot.
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Hi @hongsukchoi , superb work and thanks for sharing!
But I have a few questions about the training of PoseNet.
[1] According to Fig. 9 of the suppl, H3.6M and Coco have different definition of jo…
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Hi authors,
I found that the original 3DPW dataset has:
- 3D joints with the shape of 24x3
- 2D joints with the shape of 18x3
However, your **customized** 3DPW dataset has:
- 3D joints with t…
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Hi, I would like to verify if the dataset sizes I printed here are correct.
It seems that for Human3.6M, the aligned and unaligned datasets have different paths. My assumption is that the aligned d…