Comments (1)
We do not predict 2D keypoints, we only predict the 3D shape. The 2D keypoints can be estimated as the reprojection of the 3D keypoints of the shape, so there is no confidence value associated with them.
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Related Issues (20)
- pose_transformer_v2 (BERT style transformer) use while running model on video HOT 3
- How much gpu memory do we need ? HOT 1
- Missing output files HOT 6
- model_config.yaml missing HOT 4
- patreon blender tutorial is broken HOT 1
- No OpenGL_accelerate module loaded: No module HOT 2
- the effect of running tracking was not good HOT 1
- [MISSING FILE] SMPL_NEUTRAL.pkl HOT 1
- DDP has slower training speed
- perspective projection HOT 5
- After testing, I found out the code work when `basicModel_neutral_lbs_10_207_0_v1.0.0.pkl` is put on the root of the directory. Maybe bug in the PHALP? HOT 5
- Can't download model checkpoints and data HOT 1
- EGL canβt create context
- [FUNC] cam_crop_to_full HOT 2
- Keypoints Matching for Multiple People during Evaluation HOT 4
- 2d and 3d joints positions HOT 2
- PW3D Evaluation with HMR 2.0a HOT 1
- hmr2_data.tar.gz HOT 1
- Meaning of keys in .pkl after running track.py HOT 3
- OpenGL issue on Windows while rendering HOT 1
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