Comments (4)
mks0601
commented on July 17, 2024
Could you specify your question? I can't understand
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BurguerJohn
commented on July 17, 2024
Sure no problem. I would like to get the keypoints that generate the 3D skeleton, like OpenPose generate a Json with the key points:
Something like.
Left Shoulder: X - 124.3 / Y - 85.3 / Z - 34.4
Left Elbow: X - 134.2 / Y - 90.4 / Z - 33.2
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mks0601
commented on July 17, 2024
Sure. You can use joint_lixel_img = out['joint_coord_img'] and do the below lines.
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BurguerJohn
commented on July 17, 2024
Alright! Thank you very much, will give it a try later.
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Related Issues (20)
- "The file exceeds the download quota. " HOT 4
- issue about bbox_root_pw3d_output.json HOT 1
- No 'R' and 't' keys in camera parameters you provided
- I have googled it, but it has not been solved yet. I have the following problem, please help me
- The provided freihand pose param is different from freihand origin dataset HOT 3
- help for size mismatch problem HOT 1
- Training Settings for FreiHAND HOT 6
- Question about downsampled mesh performance HOT 1
- MSCOCO Background HOT 3
- issues about mano param in freihand dataset HOT 1
- pytorch matrix size incorrect HOT 1
- bbox_root_freihand_output.json HOT 2
- training the rootnet with Freihand Dataset. HOT 3
- the focal of rootnet training HOT 1
- Change to MANO in demo.py HOT 1
- The thickness of the generated mesh HOT 2
- when running the command: python demo.py --gpu 3 --stage param --test_epoch 8 I get the following error, can someone help me please to solve it HOT 1
- clarification of OLD issue - Smpl body to image projection
- Question about joint numbers HOT 3
- KeyError: 'mesh_coord_cam' HOT 4
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