Removed whitespace.
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@ -48,7 +48,7 @@ using namespace std;
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using namespace cv;
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using namespace cv;
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using namespace cv::ocl;
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using namespace cv::ocl;
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KalmanFilter::KalmanFilter()
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KalmanFilter::KalmanFilter()
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{
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{
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}
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}
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@ -66,7 +66,7 @@ void KalmanFilter::init(int DP, int MP, int CP, int type)
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statePre.create(DP, 1, type);
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statePre.create(DP, 1, type);
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statePre.setTo(Scalar::all(0));
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statePre.setTo(Scalar::all(0));
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statePost.create(DP, 1, type);
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statePost.create(DP, 1, type);
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statePost.setTo(Scalar::all(0));
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statePost.setTo(Scalar::all(0));
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@ -111,7 +111,7 @@ CV_EXPORTS const oclMat& KalmanFilter::predict(const oclMat& control)
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gemm(transitionMatrix, statePost, 1, oclMat(), 0, statePre);
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gemm(transitionMatrix, statePost, 1, oclMat(), 0, statePre);
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oclMat temp;
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oclMat temp;
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if(control.data)
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if(control.data)
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gemm(controlMatrix, control, 1, statePre, 1, statePre);
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gemm(controlMatrix, control, 1, statePre, 1, statePre);
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gemm(transitionMatrix, errorCovPost, 1, oclMat(), 0, temp1);
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gemm(transitionMatrix, errorCovPost, 1, oclMat(), 0, temp1);
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gemm(temp1, transitionMatrix, 1, processNoiseCov, 1, errorCovPre, GEMM_2_T);
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gemm(temp1, transitionMatrix, 1, processNoiseCov, 1, errorCovPre, GEMM_2_T);
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@ -96,7 +96,7 @@ TEST_P(Kalman, Accuracy)
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kalman_filter_ocl.correct(Sample);
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kalman_filter_ocl.correct(Sample);
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//ocl end
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//ocl end
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//cpu start
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//cpu start
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cv::KalmanFilter kalman_filter_cpu;
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cv::KalmanFilter kalman_filter_cpu;
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kalman_filter_cpu.init(Dim, Dim);
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kalman_filter_cpu.init(Dim, Dim);
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@ -143,5 +143,4 @@ TEST_P(Kalman, Accuracy)
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}
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}
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INSTANTIATE_TEST_CASE_P(OCL_Video, Kalman, Combine(Values(3, 7), Values(30)));
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INSTANTIATE_TEST_CASE_P(OCL_Video, Kalman, Combine(Values(3, 7), Values(30)));
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#endif // HAVE_OPENCL
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#endif // HAVE_OPENCL
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