SMPL-(H/X) model loading crash

[Era-Dorta]

I want to load a custom SMPL-X sequence, this is the code that I have so far:

   smplx_layer = SMPLLayer(model_type="smplx", device=C.device)

    smpl_seq = SMPLSequence.from_npz(
        file="data.npz",
        smpl_layer=smplx_layer,
        poses_left_hand=data["poses_body"][:, poses_left_start:poses_left_end],
        poses_right_hand=data["poses_body"][:, poses_right_start:],
    )

when I run it, I get an error

Traceback (most recent call last):
  File "aitviewer/examples/load_smplx.py", line 32, in <module>
    smpl_seq = SMPLSequence.from_npz(
  File "aitviewer/aitviewer/renderables/smpl.py", line 327, in from_npz
    return cls(
  File "aitviewer/aitviewer/renderables/smpl.py", line 161, in __init__
    global_oris = local_to_global(
  File "aitviewer/aitviewer/utils/utils.py", line 342, in local_to_global
    if parents[j] < 0:
  IndexError: index 22 is out of bounds for axis 0 with size 22

While debugging it I tried the example/missing_frames.py, this very simple t_pose

    smplx_male = SMPLSequence.t_pose(
        SMPLLayer(model_type="smpl", gender="male", device=C.device),
        name="SMPL",
        position=np.array((-1.5, 0, 0)),
    )

For either, I get a

  File "/home/era/code/aitviewer/aitviewer/renderables/smpl.py", line 162, in __init__
    torch.cat([self.poses_root, self.poses_body, self.poses_left_hand, self.poses_right_hand], dim=-1),
TypeError: expected Tensor as element 2 in argument 0, but got NoneType

because the poses_left and poses_right hands are None, which is why I had to add them in my example above.

I also tried load_AMASS example and I get the same index 22 is out of bounds for axis 0 with size 22 error.