问题
I've been asked to build a real-time face recognition application, and after some looking around I've decided to try EmguCV and OpenCV as the facial recognition library.
The issue I'm having at the moment is trying to get the SDK installed and working. I've followed the instructions found here to try and get it running, but I still can't run the samples. Whenever I try and run them, I get the error
The program can't start because nvcuda.dll is missing from your computer.
Try reinstalling the program to fix this problem.
I've tried most of the usual fixes, such as adding the bin folder to my environment path and copying the dll's into my system32 folder, but none of it seems to work.
- EmguCV version 2.4.2.1777-windows-x64-gpu
- Windows 8
- AMD Radeon HD 6700 series graphics card.
I'm assuming this is an issue with the fact that I dont have an nVidia graphics card, but I'm not sure what I can do about it. For now, I'm going to try recompiling the source rather than using the downloaded .exe, and seeing if that helps.
Any suggestions?
回答1:
Had the same problem, EmguCV 2.4.2 (no matter if x86 or x64) is compiled with GPU and you have to had nvidia GPU with CUDA support. So, if you want for eg. Fisherfaces from 2.4 in C# - wait for non-GPU release or buy/borrow CUDA card ;)
回答2:
I happen to have the exact same problem as you. Everything is working fine on my computer (WinXP 32-bit) but not on Win7 64-bit computers. This was because on my computer I already have OpenCV 2.4.2 installed and when I execute my program the path to the OpenCV dll points to the OpenCV folder and not to the dlls in the EmguCV folder. The original OpenCV dll don't have this dependency on NVidia's driver.
I used Dependency Walker to help me find out what was happening, as suggested here.
This link says that only the -gpu packages have gpu processing enabled but as you say the latest version (2.4.2) only a gpu package and no no-gpu package...
I read here that all I needed was to download the latest NVidia drivers to get the nvcuda.dll file but I downloaded many packages and never found this file: gpu computing sdk, cuda toolkit, display drivers, device drivers...
My workaround, instead of using an older version of EmguCV/OpenCV is to use the original dll from OpenCV 2.4.2.
回答3:
I just used nvcuda.dll from dll-files.com.
回答4:
It seems the issue is that the latest version on the site does not contain a non-GPU enhanced download, and that the GPU enhanced download requires an nVidia graphics card for CUDA integration.
I successfully downloaded and run the previous version which does not have GPU enhancements.
回答5:
I had similar problem. When I compile and run my application on computer with NVIDIA gpu it works fine. Problem was when I moved app to another computer. This second computer has no NVIDIA gpu and it threw 'Emgu.CV.CvInvoke' exception. After many attempts I fortunately solved this problem. As you mentioned before for now there is only gpu package for version 2.4.2. I didn't notice this before.
For me solution was:
- Copy files: 'cudart64_42_9.dll' and 'npp_42_9.dll' into Debug (application) folder
- Copy file 'nvcuda.dll' into System32 folder. After this steps aplication works on all computers even without NVIDIA gpu/ CUDA.
Other solution might be using opencv universal gpu version (for now is alpha 2.4.9) link: http://sourceforge.net/projects/emgucv/files/emgucv/2.4.9-alpha/
回答6:
You can download source EmguCV from GIT and compile it, i have done this and works :
http://www.emgu.com/wiki/index.php/Download_And_Installation#Building_from_Git
It generates a non-GPU version of dlls
Regards.
回答7:
here's also another copy of the dll's: http://www.kimchiandchips.com/files/vvvv/nvcuda/
so 2 solutions:
- Get NVidia CUDA DLL's from the above link. Ideally rename the 64 or 32bit version to nvcuda.dll based on your required platform. Put next to your opencv dll's
- Upgrade to 2.4.9 which has universal GPU support
回答8:
I also had some problems when doing my dissertation using EmguCV for face recognition. Try to use the stablest version libemgucv-windows-x86-2.4.0.1717.exe Try not to use the gpu download, this version has the least bugs and the 32-bit is better than the x64. when compiling for the first time use visual studio 2012. With this version you wont need to install all the above mentioned. You can see this example to know it really works : http://sourceforge.net/projects/emgufacerecog/
来源：https://stackoverflow.com/questions/12594993/emgucv-nvcuda-dll-could-not-be-found