Learning opencv -- configuring the Cuda Environment

We all say that GPU & Cuda is very Nb-hard, so the next step is to run the program through GPU acceleration. This week, we have been configuring the Cuda environment of opencv. Today we finally ended up failing because the graphics card of the lab machine does not support Cuda... Sorry, a week !!!

Cuda-supported GPU: http://developer.nvidia.com/cuda-gpus

 

Although the failure eventually failed, there are still some gains. Now I will sum up it to remind myself and give you a reference:

1. For reference, refer;

2. References: Compile (note the cmake compilation option );

3. during cmake generation, "cocould not copy from: D: \ cmake 2.8 \ share \ cmake-2.8 \ Templates \ cmakevsm1_s2.vsmacros to: D: \ My Documents \ Visual Studio 2008 \ projects \ vsmacros80 \ cmakemacros \ cmakevsmacros2.vsmacros ".
Manually Copy D: \ cmake 2.8 \ share \ cmake-2.8 \ Templates \ cmakevsmacros2.vsmacros to D: \ My Documents \ Visual Studio 2008 \ projects \ vsmacros80 \ cmakemacros \ cmakevsmacros2.vsmacros.

Other questions reference: http://www.opencv.org.cn/forum/viewtopic.php? F = 1 & t = 8232 & START = 25

Next, let's ask the boss to buy a new machine (presumably yes, but I have to exchange papers ~~~~ (>_< )~~~~ )