This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!
May I hava a question about pretrained pose-resnet backbone setting?
The number of COCO (OpenPose version) keypoints is 18, the number of MPII keypoints is 16, the number of h36m is 17.
All are not same.
How do mapping other kind of keypoints?
Would you provide mapping function to me? Or Can I know the setting about this in detail?
As I guess about the training of backbone based on describing in paper,
first, load the COCO (18 keypoints) pretrained model of Pose-ResNet,
second, mapping or eliminating the keypoints of MPII/h36m suited to COCO keypoitns format.
Thanks for your work!
May I hava a question about pretrained pose-resnet backbone setting?
The number of COCO (OpenPose version) keypoints is 18, the number of MPII keypoints is 16, the number of h36m is 17. All are not same. How do mapping other kind of keypoints? Would you provide mapping function to me? Or Can I know the setting about this in detail?
As I guess about the training of backbone based on describing in paper, first, load the COCO (18 keypoints) pretrained model of Pose-ResNet, second, mapping or eliminating the keypoints of MPII/h36m suited to COCO keypoitns format.
Thanks for your contributions!