CLAHE Python bindings
[profile/ivi/opencv.git] / modules / ocl / perf / perf_brute_force_matcher.cpp
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10 //                           License Agreement
11 //                For Open Source Computer Vision Library
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17 // @Authors
18 //    Fangfang Bai, fangfang@multicorewareinc.com
19 //    Jin Ma,       jin@multicorewareinc.com
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45 //M*/
46 #include "precomp.hpp"
47
48 //////////////////// BruteForceMatch /////////////////
49 PERFTEST(BruteForceMatcher)
50 {
51     Mat trainIdx_cpu;
52     Mat distance_cpu;
53     Mat allDist_cpu;
54     Mat nMatches_cpu;
55
56     for (int size = Min_Size; size <= Max_Size; size *= Multiple)
57     {
58         // Init CPU matcher
59         int desc_len = 64;
60
61         BFMatcher matcher(NORM_L2);
62
63         Mat query;
64         gen(query, size, desc_len, CV_32F, 0, 1);
65
66         Mat train;
67         gen(train, size, desc_len, CV_32F, 0, 1);
68         // Output
69         vector< vector<DMatch> > matches(2);
70         vector< vector<DMatch> > d_matches(2);
71         // Init GPU matcher
72         ocl::BruteForceMatcher_OCL_base d_matcher(ocl::BruteForceMatcher_OCL_base::L2Dist);
73
74         ocl::oclMat d_query(query);
75         ocl::oclMat d_train(train);
76
77         ocl::oclMat d_trainIdx, d_distance, d_allDist, d_nMatches;
78
79         SUBTEST << size << "; match";
80
81         matcher.match(query, train, matches[0]);
82
83         CPU_ON;
84         matcher.match(query, train, matches[0]);
85         CPU_OFF;
86
87         WARMUP_ON;
88         d_matcher.matchSingle(d_query, d_train, d_trainIdx, d_distance);
89         WARMUP_OFF;
90
91         GPU_ON;
92         d_matcher.matchSingle(d_query, d_train, d_trainIdx, d_distance);
93         GPU_OFF;
94
95         GPU_FULL_ON;
96         d_query.upload(query);
97         d_train.upload(train);
98         d_matcher.match(d_query, d_train, d_matches[0]);
99         GPU_FULL_OFF;
100
101         int diff = abs((int)d_matches[0].size() - (int)matches[0].size());
102         if(diff == 0)
103             TestSystem::instance().setAccurate(1, 0);
104         else
105             TestSystem::instance().setAccurate(0, diff);
106
107         SUBTEST << size << "; knnMatch";
108
109         matcher.knnMatch(query, train, matches, 2);
110
111         CPU_ON;
112         matcher.knnMatch(query, train, matches, 2);
113         CPU_OFF;
114
115         WARMUP_ON;
116         d_matcher.knnMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_allDist, 2);
117         WARMUP_OFF;
118
119         GPU_ON;
120         d_matcher.knnMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_allDist, 2);
121         GPU_OFF;
122
123         GPU_FULL_ON;
124         d_query.upload(query);
125         d_train.upload(train);
126         d_matcher.knnMatch(d_query, d_train, d_matches, 2);
127         GPU_FULL_OFF;
128
129         diff = abs((int)d_matches[0].size() - (int)matches[0].size());
130         if(diff == 0)
131             TestSystem::instance().setAccurate(1, 0);
132         else
133             TestSystem::instance().setAccurate(0, diff);
134
135         SUBTEST << size << "; radiusMatch";
136
137         float max_distance = 2.0f;
138
139         matcher.radiusMatch(query, train, matches, max_distance);
140
141         CPU_ON;
142         matcher.radiusMatch(query, train, matches, max_distance);
143         CPU_OFF;
144
145         d_trainIdx.release();
146
147         WARMUP_ON;
148         d_matcher.radiusMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_nMatches, max_distance);
149         WARMUP_OFF;
150
151         GPU_ON;
152         d_matcher.radiusMatchSingle(d_query, d_train, d_trainIdx, d_distance, d_nMatches, max_distance);
153         GPU_OFF;
154
155         GPU_FULL_ON;
156         d_query.upload(query);
157         d_train.upload(train);
158         d_matcher.radiusMatch(d_query, d_train, d_matches, max_distance);
159         GPU_FULL_OFF;
160
161         diff = abs((int)d_matches[0].size() - (int)matches[0].size());
162         if(diff == 0)
163             TestSystem::instance().setAccurate(1, 0);
164         else
165             TestSystem::instance().setAccurate(0, diff);
166     }
167 }