File: clahe.cpp

package info (click to toggle)
opencv 2.4.9.1%2Bdfsg-1%2Bdeb8u1
  • links: PTS, VCS
  • area: main
  • in suites: jessie
  • size: 126,800 kB
  • ctags: 62,729
  • sloc: xml: 509,055; cpp: 490,794; lisp: 23,208; python: 21,174; java: 19,317; ansic: 1,038; sh: 128; makefile: 72
file content (111 lines) | stat: -rw-r--r-- 3,004 bytes parent folder | download | duplicates (3)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
#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;

static void TSize_Callback(int pos)
{
    if(pos==0)
        pFilter->setTilesGridSize(Size(1,1));
    else
        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}"
        "{ h | help    | false              | print help message }";

    cv::CommandLineParser cmd(argc, argv, keys);
    if (cmd.get<bool>("help"))
    {
        cout << "Usage : clahe [options]" << endl;
        cout << "Available options:" << endl;
        cmd.printParams();
        return EXIT_SUCCESS;
    }

    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;

    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, d_frame;

    int cur_clip;
    Size cur_tilesize;
    pFilter = use_cpu ? createCLAHE() : 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 EXIT_FAILURE;
        }
    }
    else
        capture = cvCaptureFromCAM(camid);

    cout << "\nControls:\n"
         << "\to - save output image\n"
         << "\tESC - exit\n";

    for (;;)
    {
        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::cvtColor(d_frame = 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)
            break;
    }
    return EXIT_SUCCESS;
}