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uncommented Opponent descriptors test, fixed descriptors mat size
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@ -371,6 +371,7 @@ void OpponentColorDescriptorExtractor::computeImpl( const Mat& bgrImage, vector<
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vector<int> idxs[N];
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// Compute descriptors three times, once for each Opponent channel to concatenate into a single color descriptor
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int maxKeypointsCount = 0;
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for( int ci = 0; ci < N; ci++ )
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{
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channelKeypoints[ci].insert( channelKeypoints[ci].begin(), keypoints.begin(), keypoints.end() );
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@ -385,13 +386,14 @@ void OpponentColorDescriptorExtractor::computeImpl( const Mat& bgrImage, vector<
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idxs[ci][ki] = (int)ki;
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}
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std::sort( idxs[ci].begin(), idxs[ci].end(), KP_LessThan(channelKeypoints[ci]) );
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maxKeypointsCount = std::max( maxKeypointsCount, (int)channelKeypoints[ci].size());
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}
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vector<KeyPoint> outKeypoints;
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outKeypoints.reserve( keypoints.size() );
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int descriptorSize = descriptorExtractor->descriptorSize();
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Mat mergedDescriptors( (int)keypoints.size(), 3*descriptorSize, descriptorExtractor->descriptorType() );
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Mat mergedDescriptors( maxKeypointsCount, 3*descriptorSize, descriptorExtractor->descriptorType() );
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int mergedCount = 0;
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// cp - current channel position
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size_t cp[] = {0, 0, 0};
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@ -1059,12 +1059,12 @@ TEST( Features2d_DescriptorExtractor_BRIEF, regression )
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test.safe_run();
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}
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//TEST( Features2d_DescriptorExtractor_OpponentSIFT, regression )
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//{
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// CV_DescriptorExtractorTest<L2<float> > test( "descriptor-opponent-sift", 0.18f,
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// DescriptorExtractor::create("OpponentSIFT"), 8.06652f );
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// test.safe_run();
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//}
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TEST( Features2d_DescriptorExtractor_OpponentSIFT, regression )
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{
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CV_DescriptorExtractorTest<L2<float> > test( "descriptor-opponent-sift", 0.18f,
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DescriptorExtractor::create("OpponentSIFT"), 8.06652f );
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test.safe_run();
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}
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TEST( Features2d_DescriptorExtractor_OpponentSURF, regression )
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{
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