Open Zju-George opened 5 years ago
Yes, you need to change the behavior of the bullet environment you need to change C++ code and recompile. If you are using windows in the sln there should be a python target you can build the python wrapper.
You can not run the policies in main.cpp I think, since the policies can only be run in python using tensorflow.
Also, please stop spamming other threads when you have build questions :). Specifically: This one We all have questions and we can help each other as much as possible, but don't spam since the authors have limited time and we should appreciate their help.
That's right, you can edit the C++ code in DeepMimicCore and debug in C++. Then when you are ready you can run SWIG to build the python wrappers and train using the python framework.
You cannot run the policies in C++ because all of the RL framework is in python.
yes we can do that, but it seems that we can't get the trained model run properly, but as for running mocap data, it's fine. I will dig into more, thx anyway.
@xbpeng Thanks for your reply! Could you please share some more ground types cuz there is only "dull" plane..
@xbpeng @wangshub @0xflotus @376TEMP Also, if I want to debug and change the code, I must change C++ code?
I wonder, if I want to write the pose data out into a json file when glutMainloop is running, should I change the C++ code and ran it directly in main.cpp in DeepMimicCore?
And after debugging in C++ code, rewrap it using SWIG?
I'm a noob in both C++ and python, please give me some advice.