113 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			113 lines
		
	
	
		
			2.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
#include <iostream>
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#include "opencv2/core/core.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/ocl/ocl.hpp"
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using namespace cv;
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using namespace std;
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Ptr<CLAHE> pFilter;
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int tilesize;
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int cliplimit;
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string outfile;
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static void TSize_Callback(int pos)
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{
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    if(pos==0)
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    {
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        pFilter->setTilesGridSize(Size(1,1));
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    }
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    pFilter->setTilesGridSize(Size(tilesize,tilesize));
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}
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static void Clip_Callback(int)
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{
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    pFilter->setClipLimit(cliplimit);
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}
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int main(int argc, char** argv)
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{
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    const char* keys =
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        "{ i | input   |                    | specify input image }"
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        "{ c | camera  |    0               | specify camera id   }"
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        "{ s | use_cpu |    false           | use cpu algorithm   }"
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        "{ o | output  | clahe_output.jpg   | specify output save path}";
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    CommandLineParser cmd(argc, argv, keys);
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    string infile = cmd.get<string>("i");
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    outfile = cmd.get<string>("o");
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    int camid = cmd.get<int>("c");
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    bool use_cpu = cmd.get<bool>("s");
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    CvCapture* capture = 0;
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    bool running = true;
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    namedWindow("CLAHE");
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    createTrackbar("Tile Size", "CLAHE", &tilesize, 32, (TrackbarCallback)TSize_Callback);
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    createTrackbar("Clip Limit", "CLAHE", &cliplimit, 20, (TrackbarCallback)Clip_Callback);
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    vector<ocl::Info> info;
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    CV_Assert(ocl::getDevice(info));
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    Mat frame, outframe;
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    ocl::oclMat d_outframe;
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    int cur_clip;
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    Size cur_tilesize;
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    if(use_cpu)
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    {
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        pFilter = createCLAHE();
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    }
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    else
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    {
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        pFilter = ocl::createCLAHE();
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    }
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    cur_clip = (int)pFilter->getClipLimit();
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    cur_tilesize = pFilter->getTilesGridSize();
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    setTrackbarPos("Tile Size", "CLAHE", cur_tilesize.width);
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    setTrackbarPos("Clip Limit", "CLAHE", cur_clip);
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    if(infile != "")
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    {
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        frame = imread(infile);
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        if(frame.empty())
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        {
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            cout << "error read image: " << infile << endl;
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            return -1;
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        }
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    }
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    else
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    {
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        capture = cvCaptureFromCAM(camid);
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    }
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    cout << "\nControls:\n"
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         << "\to - save output image\n"
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         << "\tESC - exit\n";
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    while(running)
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    {
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        if(capture)
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            frame = cvQueryFrame(capture);
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        else
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            frame = imread(infile);
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        if(frame.empty())
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        {
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            continue;
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        }
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        if(use_cpu)
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        {
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            cvtColor(frame, frame, COLOR_BGR2GRAY);
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            pFilter->apply(frame, outframe);
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        }
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        else
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        {
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            ocl::oclMat d_frame(frame);
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            ocl::cvtColor(d_frame, d_outframe, COLOR_BGR2GRAY);
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            pFilter->apply(d_outframe, d_outframe);
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            d_outframe.download(outframe);
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        }
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        imshow("CLAHE", outframe);
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        char key = (char)cvWaitKey(3);
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        if(key == 'o') imwrite(outfile, outframe);
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        else if(key == 27) running = false;
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    }
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    return 0;
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}
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