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Problem about segmentation fault (core dumped)
#18
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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. |
have you solved the problem? |
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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.
![image](https://user-images.githubusercontent.com/23354372/61794176-2652f400-ae53-11e9-85ff-12ab9ff5a7a9.png)
![image](https://user-images.githubusercontent.com/23354372/61794374-a711f000-ae53-11e9-924b-4b0edc4eb694.png)
![image](https://user-images.githubusercontent.com/23354372/61794501-e93b3180-ae53-11e9-89ac-e678e0396cae.png)
![image](https://user-images.githubusercontent.com/23354372/61794634-299aaf80-ae54-11e9-84f1-d7e3cd609262.png)
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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