Question about making SMPL ground truth

[Ironbrotherstyle]

Thank you for sharing the great work. I have met some questions when using your method.

Here is a picture (s_01_act_02_subact_01_ca_01_000001) of the visualization of the produced human 3d joint coming from smpl model and human3.6M ground truth.

Though impressive result has been achieved, I still have some questions.

If I want to make the dataset of my own by using your method. What is the camera paras and trans paras like? For example, your method will produce camera_rotation(identity matrix), camera_translation, betas, global_orient, body_pose(32-dim), pose(69-dim). But the camera_rotation and transl for other datasets with smpl values (like 3DPW, Human3.6M) are not identity matrix or none. I am confused with the Figure_2 because I think there may be a rotation transformation missed for the smpl model (otherwise the two skeletion will match perfectly). The paras produced by your method and other method for s_01_act_02_subact_01_ca_01_000001 are list as below,

# your method
camera_rotation = [[[1. 0. 0.],  [0. 1. 0.],  [0. 0. 1.]]]
camera_translation = [[-0.12283573 -0.12966573 26.40824   ]]
betas = [[ 9.0937483e-01  1.4290957e+00 -4.9474990e-01 -1.7118127e+00,  -1.8398558e-01 -1.6947743e-01  4.5224284e-03  3.0939683e-01,  -8.9674111e-05  1.4452808e-01]]
global_orient = [[ 0.54963225  0.23515686 -3.0548875 ]]
body_pose = ...
pose = ...

Thank you.