Comments (1)
The points are normalized to 0~1. The way we do for H36M is to divide the 2D coordinates by 1000 (the height and width of the video).
For further discussion, you can email me via [email protected]
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Related Issues (20)
- About Network Architecture HOT 1
- Why to use 2D Ground-truth joints as input? HOT 3
- Estimate 3D pose in photo instead of videos HOT 3
- 2 different checkpoints for GCN HOT 2
- About the TCN part HOT 2
- velocity-tcn
- affb,affpts
- How to apply to videos in the wild? HOT 1
- PCk_abs threshold
- Regarding variable names and Preparation of the pickle file for custom data
- what's the value of 195 stand for in the line 32 of the calculate_mupots_depth.py?
- The confidence scores of the part affinity field for bone-GCN HOT 5
- what's the value of 915 stand for in the line 32 of the calculate_mupots_depth.py? thanks for your amazing work.
- How to train the GCN and TCN network?
- Can you provide a inference code for testing other video inputs? HOT 4
- RooTTCN Details HOT 1
- Pre-trained Model HOT 1
- 3D coordinate for human pose HOT 4
- Which license is applicable for this repository? HOT 1
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