Comments (1)
If you want to run the demo on single images, the whole pipeline, including detection and reconstruction, will take 9.5Gb of GPU memory (this can go down to 5.2Gb if you use the option --detector regnety
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Related Issues (20)
- 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 HOT 2
- 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 5
- OpenGL issue on Windows while rendering HOT 1
- LSP-Extended and PoseTrack Images Link HOT 1
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