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I wanted to get something clarified regarding genebody dataset which I wish to use for reconstruction.
import numpy as np
with open('/mnt/data/ndip/genebody_barry/param/0353.npy', 'rb') as f:
data = np.load(f, allow_pickle = True).item()
smplx = data['smplx']
l_hand = smplx['left_hand_pose']
r_hand = smplx['right_hand_pose']
body = smplx['body_pose'][0]
jaw = smplx['jaw_pose']
r_eye = smplx['reye_pose']
l_eye = smplx['leye_pose']
kp3d = smplx['keypoints3d']
joints = np.vstack((body, jaw, r_eye, l_eye, l_hand, r_hand))
joints.shape
it returns 54 joints in total, body has 21 joints, hands have 15 each and 1 each in the rest.
however, my task is to use smpl keypoints for rendering not smpl-X,
so is there a way to know which joints are used in genebody, so maybe I can pick the correct ones and setup the 24 joints as smpl. Would be great if you can respond
Edit: this is what I understood,
smplbody_no_head = 23 joints (without the head)
smplbody_no_head - last 2 (hand_ends) = 21 joints (gene_body_smpl)
21 + jaw = 22 (smplbody_no_head) + 2*(smplh -> hand joints)
The text was updated successfully, but these errors were encountered:
Hello @generalizable-neural-performer,
I wanted to get something clarified regarding genebody dataset which I wish to use for reconstruction.
it returns 54 joints in total, body has 21 joints, hands have 15 each and 1 each in the rest.
however, my task is to use smpl keypoints for rendering not smpl-X,
so is there a way to know which joints are used in genebody, so maybe I can pick the correct ones and setup the 24 joints as smpl. Would be great if you can respond
Edit: this is what I understood,
smplbody_no_head = 23 joints (without the head)
smplbody_no_head - last 2 (hand_ends) = 21 joints (gene_body_smpl)
21 + jaw = 22 (smplbody_no_head) + 2*(smplh -> hand joints)
The text was updated successfully, but these errors were encountered: