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[Fix] Add return arguments for SMPLify-X #211

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[Fix] Add return arguments for SMPLify-X #211

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43 changes: 42 additions & 1 deletion mmhuman3d/models/registrants/smplifyx.py
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Original file line number Diff line number Diff line change
Expand Up @@ -129,7 +129,8 @@ def __call__(self,
**stage_config,
)

return {
# collate results
ret = {
'global_orient': global_orient,
'transl': transl,
'body_pose': body_pose,
Expand All @@ -142,6 +143,46 @@ def __call__(self,
'reye_pose': reye_pose
}

if return_verts or return_joints or \
return_full_pose or return_losses:
eval_ret = self.evaluate(
global_orient=global_orient,
transl=transl,
body_pose=body_pose,
betas=betas,
left_hand_pose=left_hand_pose,
right_hand_pose=right_hand_pose,
expression=expression,
jaw_pose=jaw_pose,
leye_pose=leye_pose,
reye_pose=reye_pose,
keypoints2d=keypoints2d,
keypoints2d_conf=keypoints2d_conf,
keypoints3d=keypoints3d,
keypoints3d_conf=keypoints3d_conf,
return_verts=return_verts,
return_full_pose=return_full_pose,
return_joints=return_joints,
reduction_override='none' # sample-wise loss
)

if return_verts:
ret['vertices'] = eval_ret['vertices']
if return_joints:
ret['joints'] = eval_ret['joints']
if return_full_pose:
ret['full_pose'] = eval_ret['full_pose']
if return_losses:
for k in eval_ret.keys():
if 'loss' in k:
ret[k] = eval_ret[k]

for k, v in ret.items():
if isinstance(v, torch.Tensor):
ret[k] = v.detach().clone()

return ret

def _optimize_stage(self,
betas: torch.Tensor,
body_pose: torch.Tensor,
Expand Down