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OpenCV with GPU in application -user system installation question

asked 2013-07-17 12:36:51 -0500

bccopencv gravatar image

I had built OpenCV with GPU support using CMAKE. My Windows system has CUDA toolkit 5.0 installed and has an NVIDIA GeForce Graphics card. I am using the BroxOpticalFlow algorithm in OpenCV inside my application successfully (Using Visual Studio 2008).

What I want to do now is to have my application (with OpenCV) run on any user system. Inside my application I do check whether an NVIDIA card is there on the system or not and if not, then it has a fallback software implementation for the optical flow algorithm. But what I am confused about is

  1. Whether the user system will still need to have NVIDIA toolkit installed on their system for my application to even load properly?

Currently, I am adding cudart64_50_35.dll, npp64_50_35.dll and cufft64_50_35.dll in the application executable folder. The other questions are -

  1. Should these dlls go into a program files folder as a part of my application, Or would it be better to install them into the system32 folder and if so, then how do i reference them into my application?
  2. Are there any other CUDA dependencies that i need to worry about for a user system that does not have an NVIDIA card for my application to load and be able to run the software fallback?
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answered 2013-07-17 18:17:51 -0500

simon111 gravatar image

I recommend you include these dlls into your program, and you'd better load them dynamically.

If user system has an NVIDIA card, your program loads them.

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Asked: 2013-07-17 12:36:51 -0500

Seen: 516 times

Last updated: Jul 17 '13