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How can I get the 21 hand key points ? #9
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If you means the 2d hand keypoints, just use openpose (https://github.com/CMU-Perceptual-Computing-Lab/openpose) to detect it. |
Thanks for your quick reply. Would you plan to release the mano parameters? |
@hungsing92,Unfortunately,This is not my project lol, But you could register your mano model to these vertex data by ICP algorithm |
To get 3D keypoints, you can use the joint regressor as @quyanqiu suggested from MANO (https://mano.is.tue.mpg.de) that regresses 16 joints from the mesh surface. To get fingertips, you can select vertices with the following indices: Meshes are aligned with the images so to obtain 2D keypoints, you simply perform orthographic projection of the 3D joints (i.e. X, Y coordinates of the 3D joints correspond to 2D image landmarks). We are not planning to release any further data. |
@hungsing92 |
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