added assertion on Compute Capability >= 1.1 to BruteForceMatcher_GPU_base::radiusMatch
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@ -493,6 +493,10 @@ void cv::gpu::BruteForceMatcher_GPU_base::radiusMatch(const GpuMat& queryDescs,
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}
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}
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};
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};
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int major, minor;
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getComputeCapability(getDevice(), major, minor);
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CV_Assert(100 * major + 10 * minor >= 110); // works onle on device with CC >= 1.1
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const int nQuery = queryDescs.rows;
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const int nQuery = queryDescs.rows;
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const int nTrain = trainDescs.rows;
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const int nTrain = trainDescs.rows;
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@ -1104,6 +1104,8 @@ namespace cv { namespace gpu { namespace bfmatcher
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__global__ void radiusMatch(PtrStep_<T> queryDescs_, DevMem2D_<T> trainDescs_,
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__global__ void radiusMatch(PtrStep_<T> queryDescs_, DevMem2D_<T> trainDescs_,
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float maxDistance, Mask mask, DevMem2Di trainIdx_, unsigned int* nMatches, PtrStepf distance)
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float maxDistance, Mask mask, DevMem2Di trainIdx_, unsigned int* nMatches, PtrStepf distance)
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{
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{
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#if defined (__CUDA_ARCH__) && __CUDA_ARCH__ >= 110
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__shared__ float sdiff[BLOCK_DIM_X * BLOCK_DIM_Y];
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__shared__ float sdiff[BLOCK_DIM_X * BLOCK_DIM_Y];
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float* sdiff_row = sdiff + BLOCK_DIM_X * threadIdx.y;
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float* sdiff_row = sdiff + BLOCK_DIM_X * threadIdx.y;
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@ -1135,6 +1137,8 @@ namespace cv { namespace gpu { namespace bfmatcher
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}
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}
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}
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}
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}
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}
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#endif
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}
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}
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///////////////////////////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////////
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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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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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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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GpuMat queryGPU(queryCPU);
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const int nTrains = rng.uniform(1, 5);
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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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for (int i = 0; i < nTrains; ++i)
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{
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{
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Mat train(rng.uniform(100, 300), desc_len, CV_32F);
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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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trainsCPU[i] = train;
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trainsGPU[i].upload(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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bool with_mask = rng.uniform(0, 10) < 5;
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if (with_mask)
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if (with_mask)
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{
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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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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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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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const int knn = rng.uniform(3, 10);
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matcherCPU.knnMatch(queryCPU, knnMatchesCPU, knn, masksCPU);
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matcherCPU.knnMatch(queryCPU, knnMatchesCPU, knn, masksCPU, true);
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matcherGPU.knnMatch(queryGPU, knnMatchesGPU, knn, masksGPU);
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matcherGPU.knnMatch(queryGPU, knnMatchesGPU, knn, masksGPU, true);
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if (!compareMatches(knnMatchesCPU, knnMatchesGPU))
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if (!compareMatches(knnMatchesCPU, knnMatchesGPU))
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{
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{
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@ -120,10 +120,10 @@ protected:
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return;
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return;
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}
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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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matcherCPU.radiusMatch(queryCPU, radiusMatchesCPU, maxDistance, masksCPU, true);
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matcherGPU.radiusMatch(queryGPU, radiusMatchesGPU, maxDistance, masksGPU);
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matcherGPU.radiusMatch(queryGPU, radiusMatchesGPU, maxDistance, masksGPU, true);
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if (!compareMatches(radiusMatchesCPU, radiusMatchesGPU))
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if (!compareMatches(radiusMatchesCPU, radiusMatchesGPU))
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{
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{
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