Error while installing TORCs

[Slashzer-0]

Hello,

Thanks for providing guidelines for the code for the paper.
I am facing some issues while following your instructions for installing TORCs. I am using Ubuntu 18.04. I faced some library issues which I have resolved. Also, I changed some hard-coded path locations to get it working. At this point, I am getting the following error:

g++ gennmtab.o -L/home/deepayan/Downloads/VirtualtoReal-RL-master/TORCS/torcs-1.3.6/export/lib  -lopenal -lalut -lvorbisfile -L/usr/lib  -lplibjs -lplibssgaux -lplibssg -lplibsm -lplibsl -lplibsg -lplibul -lglut -lGLU -lGL -lpng -lz -ldl -lXrandr -lXrender -lXxf86vm -lXmu -lXi -lXt -lSM -lICE -lXext -lX11 -lm   -o gennmtab

/usr/bin/ld: out of memory allocating 3298534887680 bytes after a total of 290816 bytes

Do you have any suggestions for this?
I am wondering whether an older version of Ubuntu might help? Also do you suggest some other source for installing TORCs?

Thanks again.

[xinleipan]

Hi @rtalapatra, we didn't test it on Ubuntu 18.04, it should work on Ubuntu 16.04.

[Slashzer-0]

I tried running it in Ubuntu 16.04. I am getting the following error on make:

Any suggestions?

[lingyunli1994]

@rtalapatra Hello，I also found this problem. Is this problem solved?

[xinleipan]

@rtalapatra Sorry for the late reply! I hope you already solved this problem, if not, it might be that your make file has a wrong target address.

[xinleipan]

@lingyunli1994 @rtalapatra try this new repo that has a python wrapper, which may save you lots of time if you are not familiar with lua: https://github.com/xinleipan/py_TORCS

[lingyunli1994]

@xinleipan Thank you for your answer. This new one is no problem.However, virtual images cannot be saved.The paper says that you get 1673 virtual images.

[xinleipan]

@lingyunli1994 you can directly run the environment and save the observation as images. Note that this code only contains segmentations for the Michigan way environment, for other environment, you will need to change some of the torcs part code to get the segmentation.