Problem compiling NMS about planercnn

[cgarg-tud]

@carbondriller thankyou for your reply. I am also getting many issues. I was able to build nms i think in colab but there are issues in compatibility of torch and cuda i think. Now I am trying on Jupyter notebook (local runtime). Did you try that approach already ? Also i have pinged you on protonmail for planenet notebook.

[AdriDev101]

Hello to you all!
I'm currently trying to reproduce this PlaneRCNN on Google Colab too.
But I have exact the same issue ad the OP showed at the beginning
Were you able to reproduce it on Google Colab?
I also tried the versions of CUDA, torch and gcc as @ajithvallabai told, but probaby I did something wrong.
Any advice or tutorials to follow with?
Thanks in advance.

[carbondriller]

Similar is mentioned here: #11
Their proposed solution didn't work

[art-programmer]

Could you check the compiled files under nms build folder? I'd recommend asking the question on the original PyTorch repo, https://github.com/multimodallearning/pytorch-mask-rcnn.

[art-programmer]

I found a potential reason causing this issue. Maybe using PyTorch 0.4.0 could fix the issue, but after compilation, please upgrade back to 0.4.1.

[cgarg-tud]

Hi @carbondriller , were you finally able to do it ?? If possible can you share the google Colab Notebook where you tried using planercnn

[carbondriller]

@cgarg-tud I had trouble compiling nms. So I was not able to reproduce planercnn.
If you are wanna look at @art-programmer 's https://github.com/art-programmer/planenet project (predecessor of PlanerRCNN), I can share that Colab Notebook.

I can share my incomplete effort to reproduce PlaneRCNN as well.

Ping me at carbondriller AT protonmail DOT com

[skq-5233]

Hello, is your compilation problem solved? @carbondriller thanks!!

[ajithvcoder]

@skq-5233 did u solve this problem

[ajithvcoder]

@carbondriller @cgarg-tud did u solve with colab or else did u install seperately in your machine

[ajithvcoder]

@carbondriller @cgarg-tud , you can use this repos nms it compiling in colab :) https://github.com/jwyang/faster-rcnn.pytorch both pytorch0.4.0 and pytorch 1.0+ version are available

[ajithvcoder]

Guys above is is not a problem. u need to use cuda8+,gcc5+ version, pytorch0.4.0 if you are using this repo(planercnn)

[Karthikaddagadderamesh]

@ajithvallabai I am using ubantu 18.04,gcc 7.5, cuda 10.1,pytorch 1.7 I am still getting the warning when i do python build.py same as mentioned above
I have tried with pytorch 0.4.1,0.4 did help..
If i go ahead and run evaluate.py I am getting ImportError: /home/sujunyu/planercnn-master/nms/_ext/nms/_nms.so: undefined symbol: __cudaRegisterFatBinaryEnd

Since I have nvidia 2080 ti I have set the arch = sm75

If there is any steps to solve this?

[ajithvcoder]

@Karthikaddagadderamesh go with cuda8.0, torch 0.4.0, gcc 5+ , build nms,roi align , if you face issues after this in evaluate, update to 0.4.1 and then try it will work