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
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// Intel License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of Intel Corporation may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include <iostream>
#include <string>
#include <iosfwd>
#include "gputest.hpp"
using namespace cv;
using namespace cv::gpu;
using namespace std;
struct CV_GpuMeanShiftSegmentationTest : public CvTest {
CV_GpuMeanShiftSegmentationTest() : CvTest( "GPU-MeanShiftSegmentation", "MeanShiftSegmentation" ) {}
void run(int)
{
try
{
bool cc12_ok = TargetArchs::builtWith(FEATURE_SET_COMPUTE_12) && DeviceInfo().supports(FEATURE_SET_COMPUTE_12);
if (!cc12_ok)
{
ts->printf(CvTS::CONSOLE, "\nCompute capability 1.2 is required");
ts->set_failed_test_info(CvTS::FAIL_GENERIC);
return;
}
Mat img_rgb = imread(string(ts->get_data_path()) + "meanshift/cones.png");
if (img_rgb.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
Mat img;
cvtColor(img_rgb, img, CV_BGR2BGRA);
for (int minsize = 0; minsize < 2000; minsize = (minsize + 1) * 4)
{
stringstream path;
path << ts->get_data_path() << "meanshift/cones_segmented_sp10_sr10_minsize" << minsize;
if (TargetArchs::builtWith(FEATURE_SET_COMPUTE_20) && DeviceInfo().supports(FEATURE_SET_COMPUTE_20))
path << ".png";
else
path << "_CC1X.png";
Mat dst;
meanShiftSegmentation((GpuMat)img, dst, 10, 10, minsize);
Mat dst_rgb;
cvtColor(dst, dst_rgb, CV_BGRA2BGR);
//imwrite(path.str(), dst_rgb);
Mat dst_ref = imread(path.str());
if (dst_ref.empty())
{
ts->set_failed_test_info(CvTS::FAIL_MISSING_TEST_DATA);
return;
}
if (CheckSimilarity(dst_rgb, dst_ref, 1e-3f) != CvTS::OK)
{
ts->printf(CvTS::LOG, "\ndiffers from image *minsize%d.png\n", minsize);
ts->set_failed_test_info(CvTS::FAIL_BAD_ACCURACY);
}
}
}
catch (const cv::Exception& e)
{
if (!check_and_treat_gpu_exception(e, ts))
throw;
return;
}
ts->set_failed_test_info(CvTS::OK);
}
int CheckSimilarity(const Mat& m1, const Mat& m2, float max_err)
{
Mat diff;
cv::matchTemplate(m1, m2, diff, CV_TM_CCORR_NORMED);
float err = abs(diff.at<float>(0, 0) - 1.f);
if (err > max_err)
return CvTS::FAIL_INVALID_OUTPUT;
return CvTS::OK;
}
} ms_segm_test;