Open timegate opened 5 months ago
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!
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 asresults[0]["betas"],
and it seems"cam_extrinsics"
isresults[0]["poses_root_world"] + results[0]["trans_world"]
.But in humannerf or VIBE,
"poses"
were (72,) array, whileresults[0]['poses_body']
were (23,3,3). also I'm not sure about recoveringcam_intrinsics
. Mayberesults[0]["poses_root_cam"]
meanscam_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
).