netease-gameai / mocap-solver Goto Github PK

Thanks to open source. In the verification process, I got four SEED index results,and then what should I do for visualization of human skin results. Looking forward to your reply.

Here is a question about how to export a animated FBX file.
So I wonder what is the definition about your SMPL pose data(pred_trans_data and pred_jt_rot_res)?
I have tried to use your SMPL pose data to export animated FBX,BUT it looks like weird.Result shows in below.

DONE

I didn't found the file in the project SURREAL can I have more details to get it please.

I re-paste marker on the optical MoCap suit according to CMU, but the result is not ideal. In this case, what should I do? Looking forward to your reply.

I am not seeing where distance matrix from Sequence class has been utilized for outlier removal (along with replacement method mentioned in paper? Instead, simple function for simulated outlier removal has been used throughout and I can't figure out why?

I'm trying to train your code.
At the last evaluation step, I receive this missing file message.
And I can't find any code related with this except loading the file.

Could you explain more about this?

5. Start evaluate MoCap-Solver
MoCap_Solver/data/Testing_dataset/mocap_dataset
loading from models/mocap_solver.pth
load succeed!
model set up over!
Traceback (most recent call last):
  File "train_and_evaluate_MoCap_Solver.py", line 21, in <module>
    model_class.evaluate_solver()
  File "/workspace/MoCap-Solver/MoCap_Solver/MoCapSolver.py", line 68, in evaluate_solver
    evaluate_sequence()
  File "/workspace/MoCap-Solver/MoCap_Solver/evaluate/evaluate_sequence.py", line 32, in evaluate_sequence
    pd_class = PredictClass()
  File "/workspace/MoCap-Solver/MoCap_Solver/evaluate/predict.py", line 32, in __init__
    self.joint_data_statistic_data = np.load(self.jts_statistic_path)
  File "/opt/conda/envs/MoCapSolver/lib/python3.6/site-packages/numpy/lib/npyio.py", line 416, in load
    fid = stack.enter_context(open(os_fspath(file), "rb"))
FileNotFoundError: [Errno 2] No such file or directory: 'models/train_data_joint.npy'

Thanks