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Recently I tried to run the maskfusion s according to the author's steps.But I have But I was entangled in a problem which was showed in the picture below.
My cuda and cudnn versions are respectively 9.0 and v7 as i showed in the following picture
However when I Input nvidia-smi ,it showed that I had a cuda diver 10.1 and I didn't know if this would affect.
the following is my tensorflow version By the way ,my maskrcnn can run successfully !
I checked it online, the segment fault seems to be an error caused by illegal access to memory, but I have been following the steps.The process of make is also very smooth.
I have been stuck in this place for a long time, I hope I can get help from the big guys.
When using mutiple GPUs, remember to "Select GPU which is running SLAM, this has to be the OpenGL GPU.". Try to change the CMakeLists.txt in maskfusion/Core.
Recently I tried to run the maskfusion s according to the author's steps.But I have But I was entangled in a problem which was showed in the picture below.
My cuda and cudnn versions are respectively 9.0 and v7 as i showed in the following picture
However when I Input nvidia-smi ,it showed that I had a cuda diver 10.1 and I didn't know if this would affect.
the following is my tensorflow version
By the way ,my maskrcnn can run successfully !
I checked it online, the segment fault seems to be an error caused by illegal access to memory, but I have been following the steps.The process of make is also very smooth.
I have been stuck in this place for a long time, I hope I can get help from the big guys.
Thank you very much!
@martinruenz @adrianknobloch
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