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Clean up C API backport ready changes
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@@ -247,7 +247,7 @@ double cv::kmeans( InputArray _data, int K,
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_bestLabels.create(N, 1, CV_32S, -1, true);
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Mat _labels, best_labels = _bestLabels.getMat();
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if (flags & CV_KMEANS_USE_INITIAL_LABELS)
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if (flags & KMEANS_USE_INITIAL_LABELS)
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{
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CV_Assert( (best_labels.cols == 1 || best_labels.rows == 1) &&
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best_labels.cols*best_labels.rows == N &&
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@@ -168,7 +168,7 @@ void Core_PowTest::run_func()
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b = b.reshape(1);
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for( int i = 0; i < a.rows; i++ )
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{
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b.at<float>(i,0) = (float)fabs(cvCbrt(a.at<float>(i,0)));
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b.at<float>(i,0) = (float)fabs(cubeRoot(a.at<float>(i,0)));
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for( int j = 1; j < a.cols; j++ )
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b.at<float>(i,j) = (float)fabs(cv::cubeRoot(a.at<float>(i,j)));
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}
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@@ -323,7 +323,7 @@ HoughLinesSDiv( InputArray image, OutputArray lines, int type,
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xc = (float) col + 0.5f;
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/* Update the accumulator */
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t = (float) fabs( cvFastArctan( yc, xc ) * d2r );
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t = (float) fabs( fastAtan2( yc, xc ) * d2r );
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r = (float) std::sqrt( (double)xc * xc + (double)yc * yc );
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r0 = r * irho;
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ti0 = cvFloor( (t + CV_PI*0.5) * itheta );
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@@ -391,7 +391,7 @@ HoughLinesSDiv( InputArray image, OutputArray lines, int type,
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xc = (float) x[index] + 0.5f;
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// Update the accumulator
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t = (float) fabs( cvFastArctan( yc, xc ) * d2r );
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t = (float) fabs( fastAtan2( yc, xc ) * d2r );
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r = (float) std::sqrt( (double)xc * xc + (double)yc * yc ) * isrho;
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ti0 = cvFloor( (t + CV_PI * 0.5) * istheta );
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ti2 = (ti * stn - ti0) * 5;
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@@ -339,7 +339,7 @@ void BaseTest::safe_run( int start_from )
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void BaseTest::run( int start_from )
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{
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int test_case_idx, count = get_test_case_count();
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int64 t_start = cvGetTickCount();
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int64 t_start = cv::getTickCount();
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double freq = cv::getTickFrequency();
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bool ff = can_do_fast_forward();
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int progress = 0, code;
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