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