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@ -67,7 +67,7 @@ protected: |
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const int desc_len = rng.uniform(40, 300); |
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Mat queryCPU(rng.uniform(100, 300), desc_len, CV_32F);
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rng.fill(queryCPU, cv::RNG::UNIFORM, cv::Scalar::all(0.0), cv::Scalar::all(1.0)); |
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rng.fill(queryCPU, cv::RNG::UNIFORM, cv::Scalar::all(0.0), cv::Scalar::all(10.0)); |
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GpuMat queryGPU(queryCPU); |
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const int nTrains = rng.uniform(1, 5); |
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@ -81,7 +81,7 @@ protected: |
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for (int i = 0; i < nTrains; ++i) |
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{ |
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Mat train(rng.uniform(100, 300), desc_len, CV_32F); |
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rng.fill(train, cv::RNG::UNIFORM, cv::Scalar::all(0.0), cv::Scalar::all(1.0)); |
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rng.fill(train, cv::RNG::UNIFORM, cv::Scalar::all(0.0), cv::Scalar::all(10.0)); |
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trainsCPU[i] = train; |
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trainsGPU[i].upload(train); |
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@ -89,7 +89,7 @@ protected: |
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bool with_mask = rng.uniform(0, 10) < 5; |
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if (with_mask) |
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{ |
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Mat mask(queryCPU.rows, train.rows, CV_8U, Scalar::all(1)); |
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Mat mask(queryCPU.rows, train.rows, CV_8U); |
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rng.fill(mask, cv::RNG::UNIFORM, cv::Scalar::all(0), cv::Scalar::all(200)); |
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masksCPU[i] = mask; |
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@ -111,8 +111,8 @@ protected: |
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const int knn = rng.uniform(3, 10); |
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matcherCPU.knnMatch(queryCPU, knnMatchesCPU, knn, masksCPU); |
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matcherGPU.knnMatch(queryGPU, knnMatchesGPU, knn, masksGPU); |
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matcherCPU.knnMatch(queryCPU, knnMatchesCPU, knn, masksCPU, true); |
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matcherGPU.knnMatch(queryGPU, knnMatchesGPU, knn, masksGPU, true); |
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if (!compareMatches(knnMatchesCPU, knnMatchesGPU)) |
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{ |
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@ -120,10 +120,10 @@ protected: |
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return; |
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} |
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const float maxDistance = rng.uniform(0.01f, 0.3f); |
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const float maxDistance = rng.uniform(25.0f, 65.0f); |
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matcherCPU.radiusMatch(queryCPU, radiusMatchesCPU, maxDistance, masksCPU); |
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matcherGPU.radiusMatch(queryGPU, radiusMatchesGPU, maxDistance, masksGPU); |
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matcherCPU.radiusMatch(queryCPU, radiusMatchesCPU, maxDistance, masksCPU, true); |
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matcherGPU.radiusMatch(queryGPU, radiusMatchesGPU, maxDistance, masksGPU, true); |
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if (!compareMatches(radiusMatchesCPU, radiusMatchesGPU)) |
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{ |
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