Hello,
Thank you for this great work. I test the stack, the training and evaluation work very well, but I have some issue with the close loop code.
I change the state_dict to corespond with my path and I change this line because I had issue when I run:
LnP.set_xdata(states[0,idt])
LnP.set_ydata(states[1,idt])
to
LnP.set_xdata(np.array([states[0,idt]]))
LnP.set_ydata(np.array([states[1,idt]]))
And with tha I can run the close loop. But the car don't follow the pass.
I test the code in the bayes_race fork: run_nmpc_orca_true.py
But I just start to study NMPC field and it's difficult for me to debug coorectly the run_nmpc_orca_deep_dynamics.py.
Do you have a solution ?
Hello,
Thank you for this great work. I test the stack, the training and evaluation work very well, but I have some issue with the close loop code.
I change the state_dict to corespond with my path and I change this line because I had issue when I run:
to
And with tha I can run the close loop. But the car don't follow the pass.
I test the code in the bayes_race fork: run_nmpc_orca_true.py
But I just start to study NMPC field and it's difficult for me to debug coorectly the run_nmpc_orca_deep_dynamics.py.
Do you have a solution ?