Naman-ntc / Pytorch-Human-Pose-Estimation

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Naman-ntc/Pytorch-Human-Pose-Estimation Issues

Pretrained Model link
Updated 10 months ago
Information about worldCoors.mat
Updated 10 months ago
The link of downloading worldCoods.mat and headsize.mat doesn't work
Closed 2 years ago1
Predicted result for multiple people in graph
Closed 2 years ago1
worldCoors & headSize link failed
Closed 3 years ago2
visualizate
Closed 3 years ago
Inference with CPU
Closed 3 years ago2
No module named 'datasets.COCO.nms.cpu_nms'
Closed 3 years ago3
Demo
Closed 3 years ago4
Download link pre-trained models outdated
Closed 3 years ago3
9
Closed 4 years ago1
Question on DeepPose
Closed 5 years ago2
Can you add new performance metrics
Closed 4 years ago1
how can I train deeppose with muti-gpu?
Closed 4 years ago1
quarter shift like in "Stacked Hourglass Networks for Human Pose Estimation"
Closed 4 years ago1
Missing mpii/pureannot/train.h5
Closed 4 years ago2
Time consuming in pose attention
Closed 5 years ago4
how to evaluate multi person?
Closed 4 years ago2
What does the nModules mean？
Closed 4 years ago3
where is train.h5?
Closed 5 years ago5
How to train my own data?
Closed 5 years ago2
Where is the implementation about T step?
Closed 4 years ago1
One bug about "python main.py"
Closed 4 years ago6
Reproducing Results - StackedHourGlass on COCO
Closed 5 years ago3
Performance of Pyranet on MPII
Closed 5 years ago1
Issue with Training
Closed 5 years ago2
How to use pretrained models?
Closed 5 years ago1
Would you explain how did you processed the mpii dataset?
Closed 5 years ago1
worldCoors and headSize
Closed 5 years ago2