1 ///////////////////////////////////////////////////////////////////////////////////////
2 //
3 //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
4 //
5 //  By downloading, copying, installing or using the software you agree to this license.
6 //  If you do not agree to this license, do not download, install,
7 //  copy or use the software.
8 //
9 //
10 //                           License Agreement
11 //                For Open Source Computer Vision Library
12 // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
13 // Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
14 // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
15 // Third party copyrights are property of their respective owners.
16 //
17 //
18 // Redistribution and use in source and binary forms, with or without modification,
19 // are permitted provided that the following conditions are met:
20 //
21 //   * Redistribution's of source code must retain the above copyright notice,
22 //     this list of conditions and the following disclaimer.
23 //
24 //   * Redistribution's in binary form must reproduce the above copyright notice,
25 //     this list of conditions and the following disclaimer in the documentation
26 //     and/or other materials provided with the distribution.
27 //
28 //   * The name of the copyright holders may not be used to endorse or promote products
29 //     derived from this software without specific prior written permission.
30 //
31 // This software is provided by the copyright holders and contributors "as is" and
32 // any express or implied warranties, including, but not limited to, the implied
33 // warranties of merchantability and fitness for a particular purpose are disclaimed.
34 // In no event shall the Intel Corporation or contributors be liable for any direct,
35 // indirect, incidental, special, exemplary, or consequential damages
36 // (including, but not limited to, procurement of substitute goods or services;
37 // loss of use, data, or profits; or business interruption) however caused
38 // and on any theory of liability, whether in contract, strict liability,
39 // or tort (including negligence or otherwise) arising in any way out of
40 // the use of this software, even if advised of the possibility of such damage.
41 //
42 //M*/
43 
44 #include "../test_precomp.hpp"
45 #include "opencv2/ts/ocl_test.hpp"
46 
47 #ifdef HAVE_OPENCL
48 
49 namespace cvtest {
50 namespace ocl {
51 
52 //////////////////////////// GoodFeaturesToTrack //////////////////////////
53 
54 
PARAM_TEST_CASE(GoodFeaturesToTrack,double,bool)55 PARAM_TEST_CASE(GoodFeaturesToTrack, double, bool)
56 {
57     double minDistance;
58     bool useRoi;
59 
60     static const int maxCorners;
61     static const double qualityLevel;
62 
63     TEST_DECLARE_INPUT_PARAMETER(src);
64     UMat points, upoints;
65 
66     virtual void SetUp()
67     {
68         minDistance = GET_PARAM(0);
69         useRoi = GET_PARAM(1);
70     }
71 
72     void generateTestData()
73     {
74         Mat frame = readImage("../gpu/opticalflow/rubberwhale1.png", IMREAD_GRAYSCALE);
75         ASSERT_FALSE(frame.empty()) << "could not load gpu/opticalflow/rubberwhale1.png";
76 
77         Size roiSize = frame.size();
78         Border srcBorder = randomBorder(0, useRoi ? 2 : 0);
79         randomSubMat(src, src_roi, roiSize, srcBorder, frame.type(), 5, 256);
80         src_roi.copyTo(frame);
81 
82         UMAT_UPLOAD_INPUT_PARAMETER(src);
83     }
84 
85     void UMatToVector(const UMat & um, std::vector<Point2f> & v) const
86     {
87         v.resize(um.size().area());
88         um.copyTo(Mat(um.size(), CV_32FC2, &v[0]));
89     }
90 };
91 
92 const int GoodFeaturesToTrack::maxCorners = 1000;
93 const double GoodFeaturesToTrack::qualityLevel = 0.01;
94 
OCL_TEST_P(GoodFeaturesToTrack,Accuracy)95 OCL_TEST_P(GoodFeaturesToTrack, Accuracy)
96 {
97     for (int j = 0; j < test_loop_times; ++j)
98     {
99         generateTestData();
100 
101         std::vector<Point2f> upts, pts;
102 
103         OCL_OFF(cv::goodFeaturesToTrack(src_roi, points, maxCorners, qualityLevel, minDistance, noArray()));
104         ASSERT_FALSE(points.empty());
105         UMatToVector(points, pts);
106 
107         OCL_ON(cv::goodFeaturesToTrack(usrc_roi, upoints, maxCorners, qualityLevel, minDistance));
108         ASSERT_FALSE(upoints.empty());
109         UMatToVector(upoints, upts);
110 
111         ASSERT_EQ(upts.size(), pts.size());
112 
113         int mistmatch = 0;
114         for (size_t i = 0; i < pts.size(); ++i)
115         {
116             Point2i a = upts[i], b = pts[i];
117 
118             bool eq = std::abs(a.x - b.x) < 1 && std::abs(a.y - b.y) < 1;
119 
120             if (!eq)
121                 ++mistmatch;
122         }
123 
124         double bad_ratio = static_cast<double>(mistmatch) / pts.size();
125         ASSERT_GE(1e-2, bad_ratio);
126     }
127 }
128 
OCL_TEST_P(GoodFeaturesToTrack,EmptyCorners)129 OCL_TEST_P(GoodFeaturesToTrack, EmptyCorners)
130 {
131     generateTestData();
132     usrc_roi.setTo(Scalar::all(0));
133 
134     OCL_ON(cv::goodFeaturesToTrack(usrc_roi, upoints, maxCorners, qualityLevel, minDistance));
135 
136     ASSERT_TRUE(upoints.empty());
137 }
138 
139 OCL_INSTANTIATE_TEST_CASE_P(Imgproc, GoodFeaturesToTrack,
140                             ::testing::Combine(testing::Values(0.0, 3.0), Bool()));
141 
142 } } // namespace cvtest::ocl
143 
144 #endif
145