recovering SMPL coefficients
Opened this issue · 1 comments
I'd like to extract SMPL coefficients like humannerf did (https://github.com/chungyiweng/humannerf?tab=readme-ov-file#metadatajson)
after WHAM, I could get results (['poses_body', 'poses_root_cam', 'betas', 'verts_cam', 'poses_root_world', 'trans_world', 'frame_id'])
,
and needed coefficients for humannerf are "poses", "betas", "cam_intrinsics", "cam_extrinsics"
I could easily find that "betas"
are exactly same as results[0]["betas"],
and it seems "cam_extrinsics"
is results[0]["poses_root_world"] + results[0]["trans_world"]
.
But in humannerf or VIBE, "poses"
were (72,) array, while results[0]['poses_body']
were (23,3,3).
also I'm not sure about recovering cam_intrinsics
. Maybe results[0]["poses_root_cam"]
means cam_intrinsics
?
Could you please let me know how to recover these coefficients?
It would be great if you also introduce me (poses_root_cam
, verts_cam
).
I think , for poses, you can use 'matrix_to_axis_angle' function in tranforms.py . (3x3 -> 3, which makes 24x3x3->24x3)
And..I'm really not sure about, but maybe you can use data from DPVO output...
Maybe you'd better check # ========= Store results ========= # part code on demo.py and your data!