perf_houghcircles.cpp
2.21 KB
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