denseReg
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direct regression and heatmaps
Hi,
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The first method is coordinate regression method, whether the label is pixel coordinate or world coordinate for the loss calculation.
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What is the next two line code meaning? Could you give more information in details? Thank you!
norm_xyz_pose = tf.divide(xyz_pose - tf.tile(com,[jnt_num]), POSE_NORM_RATIO) gt_oms = tf.reshape(gt_normed_poses, (-1,1,1,3*self._jnt_num)) - xyzs
Hey,
- the coordinate regression part is not included in the released code here.
- oms means offset map, it is used to calculate offset maps.