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Hi,
The first method is coordinate regression method, whether the label is pixel coordinate or world coordinate for the loss calculation.
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
The text was updated successfully, but these errors were encountered:
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Hi,
The first method is coordinate regression method, whether the label is pixel coordinate or world coordinate for the loss calculation.
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
The text was updated successfully, but these errors were encountered: