OpenVIDIA : Parallel GPU Computer Vision

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Video4Linux2 with CUDA YUYV to RGB32 Conversion

This example shows how to process camera input using NVIDIA CUDA.

This example does YUYV to RGB32 conversion on an image from a V4L2 camera source. This was tested with a Logitech Quickcam Pro using the uvcvideo driver. (driver should be included with the Linux distro)

Make sure you have:

• CVS version of OpenVIDIA from here, use "openvidia0.8" repository
• newest NVIDIA drivers,
• the latest CUDA toolkit
• and the CUDA SDK
• (see see http://developer.nvidia.com/cuda )
• and a CUDA Capable GPU

Compiling with CUDA

CUDA is a set of extensions to C, and so it runs through a compiler called nvcc. nvcc is available as part of the CUDA SDK download.

nvcc --host-compilation c++ --compiler-options "-I../include -I$HOME/NVIDIA_CUDA_SDK/common/inc" \
--linker-options "-L../ -lopenvidia -lglut -lGLEW -lstdc++ -lccext2 -lccgnu2" V4L2CUDA.cu

Download the Example

Additional info

The example shows how to put the image into a CUDA array, then access it using the CUDA texture 'path', which converts the unsigned char data to floats when accessing it.

To send the results back to OpenGL, we use a OpenGL Pixel Buffer Object. We create a PBO as usual in OpenGL, then retrieve a pointer to it for CUDA to use. the CUDA kernel then reads from the texture, and writes to this pointer. Afterwards we draw on screen in OpenGL, using the PBO to texture a quad.

Resources of Interest

• YUYV to RGB32 conversion
• Logitech Quickcam Pro
• cuda