PRBonn / deep-point-map-compression

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Failed to build chamfer-3D #9

Closed YYYY1213800 closed 1 year ago

YYYY1213800 commented 1 year ago

Hello @louis-wiesmann when I install the 3rdparty dependencies, I meet the problem: ERROR [12/13] RUN cd depoco/submodules/ChamferDistancePytorch/chamfer3D/ && pip3 install -U . 2>/dev/null I guess what matters is the setup process for chamfer-3D,the details are: Building wheels for collected packages: chamfer-3D

0 1.824 Building wheel for chamfer-3D (setup.py): started

0 2.682 Building wheel for chamfer-3D (setup.py): finished with status 'error'

0 2.682 Running setup.py clean for chamfer-3D

0 3.509 Failed to build chamfer-3D

0 4.069 Installing collected packages: chamfer-3D

0 4.069 Running setup.py install for chamfer-3D: started

0 4.940 Running setup.py install for chamfer-3D: finished with status 'error'

is there any way to solve the problem? thanks in advance

louis-wiesmann commented 1 year ago

Hello @YYYY1213800, unfortunately this library is not maintained by us. I will investigate further in this as soon as i have time!

YYYY1213800 commented 1 year ago

thanks a lot .I think I have solved the problem. Some versions are in conflict.

louis-wiesmann commented 1 year ago

Okay thank you. If you tell me which ones I can have a look and update the repo probably.

aprilbian commented 1 year ago

I have the same question, could you please tell me how to resolve this?

YYYY1213800 commented 1 year ago

@louis-wiesmann I think this problem is caused by a mismatch between the computational power requirements of my computer with the torch version,So I added computational power constraints to bashrc and it works。@aprilbian maybe you can solve the problem in this way

YYYY1213800 commented 1 year ago

@louis-wiesmann By the way,I have noticed that there is a performance test for the Nuscene dataset in the paper, and I want to reproduce this result. Could you please provide me with code on Nuscene data processing? I downloaded the Nuscene mini dataset, but it's structure is quite different from the semantic kitti. It doesn't matter if it's inconvenient to provide。 Thanks a lot