CUDA backend for DNN module requires CC 5.3 or higher

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You can compile OpenCV with CUDA support.You will have to disable the CUDA backend in the DNN module by unmarking OPENCV_DNN_CUDA in CMake.

Yashas ( 2019-12-02 05:56:44 -0600 )edit

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answered 2019-11-29 06:03:06 -0600

cudawarped
869 ●3 ●10 http://jamesbowley.co.uk

updated 2019-12-04 07:24:03 -0600

You can compile with CUDA support by including -DCUDA_ARCH_BIN=X with X>=5.3, however you won't be able to run the resulting DNN CUDA binary unless your card has compute capability X.

It looks like it relies on half precision (I thought this was CC 6.0 and above), see this post by the author.

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It's 5.3 according to this table.

Yashas ( 2019-12-21 07:53:07 -0600 )edit

Thank you for the link. Does that mean that CUDA DNN inference is all performed in half precision?

cudawarped ( 2019-12-22 04:41:40 -0600 )edit

@cudawarped No, it provides both options separately. There is an open PR which makes half-precision optional so that it can build on older GPUs.

Yashas ( 2019-12-22 05:51:24 -0600 )edit

That's great, thank you for all your work on this, I look forward to experimenting with this next week.

cudawarped ( 2019-12-22 08:50:25 -0600 )edit

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CUDA backend for DNN module requires CC 5.3 or higher

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CUDA backend for DNN module requires CC 5.3 or higher