This should significantly increase our capture and processing speed. First, install libcv1 in ubuntu, I like to get the documentation and python bindings as well, and these will install libcv1 anyway. ` sudo aptitdue install python-cv opencv-doc ` Now we’ll start writing some C code. As I have the benefit of writing this article after the code, I know that one can render/display 30fps without processing, and can render/display without lag with processing as well (thank you compiled code!). You can compile opencv code in linux using the following command:
gcc pkg-config –cflags opencv
-o MY_PROJECT_RUNME MY_PROJECT.cpp
Well that’s simple enough. The structure of the program has a few changes.
- Program takes first command line argument as the image filter size (try 2-10 for good results)
- Program no longer does image subtraction for a mask over the image, it’s direct processing now
- Program is significantly (10x) faster, depending on speed of camera frame grabs
- Check out the openCV tutorial for grabbing images from a camera, then check out the code below..
- You can snag it here
- Also, please note that ‘escape’ will end the loop and finish the program