File: perf_houghcircles.cpp

package info (click to toggle)
opencv 4.5.1%2Bdfsg-5
  • links: PTS, VCS
  • area: main
  • in suites: bullseye
  • size: 268,248 kB
  • sloc: cpp: 969,170; xml: 682,525; python: 36,732; lisp: 30,170; java: 25,155; ansic: 7,927; javascript: 5,643; objc: 2,041; sh: 935; cs: 601; perl: 494; makefile: 145
file content (85 lines) | stat: -rw-r--r-- 2,266 bytes parent folder | download | duplicates (2)
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
// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "perf_precomp.hpp"
#include "opencv2/imgproc/types_c.h"

namespace opencv_test {

PERF_TEST(PerfHoughCircles, Basic)
{
    string filename = getDataPath("cv/imgproc/stuff.jpg");
    const double dp = 1.0;
    double minDist = 20;
    double edgeThreshold = 20;
    double accumThreshold = 30;
    int minRadius = 20;
    int maxRadius = 200;

    Mat img = imread(filename, IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty()) << "Unable to load source image " << filename;

    GaussianBlur(img, img, Size(9, 9), 2, 2);

    vector<Vec3f> circles;
    declare.in(img);

    TEST_CYCLE()
    {
        HoughCircles(img, circles, CV_HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
    }

    SANITY_CHECK_NOTHING();
}

PERF_TEST(PerfHoughCircles2, ManySmallCircles)
{
    string filename = getDataPath("cv/imgproc/beads.jpg");
    const double dp = 1.0;
    double minDist = 10;
    double edgeThreshold = 90;
    double accumThreshold = 11;
    int minRadius = 7;
    int maxRadius = 18;

    Mat img = imread(filename, IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty()) << "Unable to load source image " << filename;

    vector<Vec3f> circles;
    declare.in(img);

    TEST_CYCLE()
    {
        HoughCircles(img, circles, CV_HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
    }

    SANITY_CHECK_NOTHING();
}

PERF_TEST(PerfHoughCircles4f, Basic)
{
    string filename = getDataPath("cv/imgproc/stuff.jpg");
    const double dp = 1.0;
    double minDist = 20;
    double edgeThreshold = 20;
    double accumThreshold = 30;
    int minRadius = 20;
    int maxRadius = 200;

    Mat img = imread(filename, IMREAD_GRAYSCALE);
    ASSERT_FALSE(img.empty()) << "Unable to load source image " << filename;

    GaussianBlur(img, img, Size(9, 9), 2, 2);

    vector<Vec4f> circles;
    declare.in(img);

    TEST_CYCLE()
    {
        HoughCircles(img, circles, CV_HOUGH_GRADIENT, dp, minDist, edgeThreshold, accumThreshold, minRadius, maxRadius);
    }

    SANITY_CHECK_NOTHING();
}

} // namespace