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Open Source Computer Vision Library
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186 lines
4.1 KiB
186 lines
4.1 KiB
#include <iostream> |
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#include "opencv2/imgproc.hpp" |
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#include "opencv2/highgui.hpp" |
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#include "opencv2/cudafilters.hpp" |
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#include "opencv2/cudaimgproc.hpp" |
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using namespace std; |
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using namespace cv; |
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class App |
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{ |
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public: |
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App(int argc, const char* argv[]); |
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int run(); |
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private: |
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void help(); |
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void OpenClose(); |
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void ErodeDilate(); |
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static void OpenCloseCallback(int, void*); |
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static void ErodeDilateCallback(int, void*); |
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cuda::GpuMat src, dst; |
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int element_shape; |
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int max_iters; |
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int open_close_pos; |
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int erode_dilate_pos; |
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}; |
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App::App(int argc, const char* argv[]) |
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{ |
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element_shape = MORPH_RECT; |
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open_close_pos = erode_dilate_pos = max_iters = 10; |
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if (argc == 2 && String(argv[1]) == "--help") |
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{ |
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help(); |
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exit(0); |
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} |
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String filename = argc == 2 ? argv[1] : "baboon.jpg"; |
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Mat img = imread(filename); |
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if (img.empty()) |
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{ |
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cerr << "Can't open image " << filename.c_str() << endl; |
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exit(-1); |
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} |
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src.upload(img); |
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if (src.channels() == 3) |
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{ |
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// gpu support only 4th channel images |
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cuda::GpuMat src4ch; |
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cuda::cvtColor(src, src4ch, COLOR_BGR2BGRA); |
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src = src4ch; |
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} |
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help(); |
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cuda::printShortCudaDeviceInfo(cuda::getDevice()); |
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} |
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int App::run() |
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{ |
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// create windows for output images |
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namedWindow("Open/Close"); |
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namedWindow("Erode/Dilate"); |
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createTrackbar("iterations", "Open/Close", &open_close_pos, max_iters * 2 + 1, OpenCloseCallback, this); |
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createTrackbar("iterations", "Erode/Dilate", &erode_dilate_pos, max_iters * 2 + 1, ErodeDilateCallback, this); |
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for(;;) |
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{ |
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OpenClose(); |
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ErodeDilate(); |
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char c = (char) waitKey(); |
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switch (c) |
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{ |
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case 27: |
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return 0; |
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break; |
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case 'e': |
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element_shape = MORPH_ELLIPSE; |
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break; |
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case 'r': |
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element_shape = MORPH_RECT; |
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break; |
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case 'c': |
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element_shape = MORPH_CROSS; |
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break; |
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case ' ': |
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element_shape = (element_shape + 1) % 3; |
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break; |
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} |
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} |
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} |
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void App::help() |
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{ |
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cout << "Show off image morphology: erosion, dialation, open and close \n"; |
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cout << "Call: \n"; |
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cout << " gpu-example-morphology [image] \n"; |
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cout << "This program also shows use of rect, ellipse and cross kernels \n" << endl; |
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cout << "Hot keys: \n"; |
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cout << "\tESC - quit the program \n"; |
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cout << "\tr - use rectangle structuring element \n"; |
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cout << "\te - use elliptic structuring element \n"; |
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cout << "\tc - use cross-shaped structuring element \n"; |
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cout << "\tSPACE - loop through all the options \n" << endl; |
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} |
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void App::OpenClose() |
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{ |
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int n = open_close_pos - max_iters; |
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int an = n > 0 ? n : -n; |
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Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an)); |
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if (n < 0) |
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{ |
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Ptr<cuda::Filter> openFilter = cuda::createMorphologyFilter(MORPH_OPEN, src.type(), element); |
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openFilter->apply(src, dst); |
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} |
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else |
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{ |
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Ptr<cuda::Filter> closeFilter = cuda::createMorphologyFilter(MORPH_CLOSE, src.type(), element); |
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closeFilter->apply(src, dst); |
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} |
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Mat h_dst(dst); |
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imshow("Open/Close", h_dst); |
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} |
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void App::ErodeDilate() |
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{ |
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int n = erode_dilate_pos - max_iters; |
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int an = n > 0 ? n : -n; |
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Mat element = getStructuringElement(element_shape, Size(an*2+1, an*2+1), Point(an, an)); |
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if (n < 0) |
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{ |
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Ptr<cuda::Filter> erodeFilter = cuda::createMorphologyFilter(MORPH_ERODE, src.type(), element); |
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erodeFilter->apply(src, dst); |
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} |
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else |
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{ |
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Ptr<cuda::Filter> dilateFilter = cuda::createMorphologyFilter(MORPH_DILATE, src.type(), element); |
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dilateFilter->apply(src, dst); |
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} |
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Mat h_dst(dst); |
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imshow("Erode/Dilate", h_dst); |
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} |
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void App::OpenCloseCallback(int, void* data) |
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{ |
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App* thiz = (App*) data; |
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thiz->OpenClose(); |
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} |
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void App::ErodeDilateCallback(int, void* data) |
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{ |
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App* thiz = (App*) data; |
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thiz->ErodeDilate(); |
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} |
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int main(int argc, const char* argv[]) |
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{ |
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App app(argc, argv); |
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return app.run(); |
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}
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