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Hello, My evaluation code is
python main_diffpose_video.py --config human36m_diffpose_uvxyz_cpn.yml --batch_size 1024 --model_pose_path checkpoint/mixste_cpn_243f.bin --model_diff_path checkpoint/d…
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Hello, may I ask why I am stuck in this interface after running train_pose_h36m.sh?
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# Human3.6M 데이터 다운 받기 | 따라쟁이의 AI 대학원 블로그
https://github.com/microsoft/multiview-human-pose-estimation-pytorch
[https://khw11044.github.io/blog/blog-etc/2021-07-17-human36m/](https://khw11044.github.…
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我使用cliff作为annotator,参考EFT的架构,将原先eft的部分更换成了cliff,但是效果上测出来整体的mpjpe在70左右,而且非常耗时,仅使用s9和s11,耗时接近20个小时。能否将你们的annotator的代码release一下或者是给出一些指导性意见。
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hi,
the link to download the pre-processed data human36m.zip does not exist, could you please upload it again?
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Could you please upload the human36m dataset again?
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Hello. What should I do if I want to train human36m 3d keypoint model?
I only find the document with human36m mesh detection. And I can only find the procedures of testing data preprocess
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hi, thanks for your great work!
I'm confused about the evaluation on the H36M dataset. If I don't misunderstand, the predicted root-relative pose should add root depth predicted from RootNet to get…
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I am new to 3D HPE,may I ask you some questions?
in **human36m_diffpose_uvxyz_cpn.yml**
data:
dataset: "human36m"
dataset_path: "./data/data_3d_h36m.npz"
##why use gt_gmm?##
data…
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안녕하세요.
h36m data loader 부분에서 SMPL gt 좌표를 가져오는 부분인데
https://github.com/mks0601/I2L-MeshNet_RELEASE/blob/5d495593fa99e3e44af0289964a7da7284fd9876/data/Human36M/Human36M.py#L196
L196~L201 부분이 무슨 …