OpenCV: Brox Optical Flow Sample, possible fix

I had some fun getting OpenCV with CUDA support and the demo to work that required OpenGL that for some yet unknown reason would not connect in properly. So I thought I would share my experience.

First of compile OpenCV with CUDA

You can also enable OpenGL, but this didn’t work for me yet it did enable the #define HAVE_OPENGL compile it up and copy out the brox example and make the following corrections, aka #defeine out the OPENGL window parts.

 1 
 2         cout << "OpenCV / NVIDIA Computer Vision" << endl;
 3         cout << "Optical Flow Demo: Frame Interpolation" << endl;
 4         cout << "=========================================" << endl;
 5 
 6         namedWindow("Forward flow");
 7         namedWindow("Backward flow");
 8 
 9 #ifdef HAVE_OPENGL
10 
11         namedWindow("Needle Map", WINDOW_OPENGL);
12         setGlDevice();
13 
14 #endif
15 
16         namedWindow("Interpolated frame");
17 
18 

To note you may need to #undef HAVE_OPENGL. For a full easy run source you can get from here

Reference: Body of code taken from OpenCV Sample

Left – Forward Optical flow, Right – Backward Optical flow

Some interesting performance info for computation of Brox Optical Flow it took 0.01s, but the Image Copy to GPU took 6.485s [e.g. GpuMat d_frame0(frame0Gray) ]. This was on a laptop spec of i7 (8 thread), 10gb ram, GeForce GT540M 1GB. I will try on another machine sometime see if can get a faster performance specifically in image copy.

Note:

• There may be a better way to overcome the OpenGL requirement this was just a quick work around
• NVIDIA CUDA compiler does not currently support Visual Studio 2012 therefore for CUDA you need to use 2010.
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Stuart James  ...