RootNet - person-in-hangang/HanRiver GitHub Wiki

RootNet

The RootNet estimates the camera-centered coordinates of the human root, R = (xR, yR, ZR) from a cropped human image.

The estimated 2D image coordinates are back-projected to the camera-centered coordinate space using the estimated depth value, which becomes the final output.

reference : https://arxiv.org/abs/1907.11346

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Performance

• Pre-trained model of RootNet in here
• Bounding boxs (from DetectNet and not extended) of Human3.6M and MuPoTS-3D datasets in here. You can use this to test RootNet.
• Bounding boxs (from DetectNet and extended) and root joint coordinates (from RootNet) of Human3.6M, MSCOCO, and MuPoTS-3D datasets in here. You should not use the bounding boxs of this file to test RootNet because the boxs are extended. Please use the right above one (bounding boxs from DetectNet without bbox extension).
• Bounding boxs (GT) and root joint coordinates (from RootNet) of 3DPW dataset (only test set) in here. The result is obtained from RootNet trained on MuCo+MSCOCO (without 3DPW training set).

reference : https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE