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QitaoZhao
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ContextAware-PoseFormer
The project is an official implementation of our paper "A Single 2D Pose With Context is Worth Hundreds for 3D Human Pose Estimation".
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can not reproduce the same setting as the paper
#14
ChChen666
closed
1 month ago
1
A question about keypoints
#13
124518
closed
3 months ago
1
The real learning rate do not match with paper
#12
what-is-available-for-name
closed
1 month ago
3
About sample number on human36m.
#11
Naive-Bayes
closed
4 months ago
2
how to test on my self-vifeo.mp4
#10
neptunear
closed
3 months ago
1
Train/val on MPI-INF-3DHP
#9
DeepZheng
closed
1 month ago
4
cpn50_256x192.pth.tar
#8
luxinyi7
closed
3 months ago
1
Training/Testing on MPI-INF-3DHP
#7
alexj94
closed
6 months ago
4
A bug in data_prefetcher
#6
what-is-available-for-name
closed
7 months ago
6
Data loading speed
#5
Zhenghongwei0929
closed
7 months ago
9
Questions about HRNet detected keypoints 2d in the provided files "h36m_train.pkl" and "h36m_validation.pkl"
#4
wangzhidi
closed
7 months ago
8
Question about train.py
#3
Bzw666
closed
8 months ago
4
Remove unused and invalid imports
#2
noahcoolboy
closed
9 months ago
1
Question about reproduce results of model training and evaluation
#1
zerowing-ex
closed
9 months ago
5