Comments (1)
Thank you for your interest in this study. I did not convert the H3.6M data format back to COCO. Instead, I used model weights pre-trained on the COCO dataset to directly initialize a model to train on the H3.6M dataset.
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Related Issues (20)
- Location of the hip/pelvis joint? HOT 6
- camera params in cameras.npy HOT 2
- generating other poses from a known pose HOT 7
- ImportError: No module named libs.hhr.config HOT 3
- AttributeError: module 'libs.utils' has no attribute 'utils' HOT 5
- 2d poses from 3d pose HOT 11
- 2D to 3D with own data HOT 6
- weird 3D Pose
- Input of the plot_distribution in anglelimits.py HOT 4
- Inconsistency between pretrained HRNet 2D detector and twoDPose_HRN.npy HOT 7
- Data Preprocessing when test on 3dhp dataset HOT 3
- Obtain 3D skeleton with 2D key-points as inputs using SMPLify by own data HOT 3
- Source of 2D keypoints when eval on 3dhp dataset HOT 1
- Preprocessed npz file of HRNet HOT 1
- About 2D anchor of the cropped image HOT 3
- Regarding h36m image HOT 5
- 模型下载问题 HOT 1
- annotate_3D.py
- ImgTo2Dnet
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