fixed overflow bugs, updated perf tests

modules/gpu/perf/perf_imgproc.cpp

@@ -1334,42 +1334,47 @@ INSTANTIATE_TEST_CASE_P(ImgProc, ImagePyramid_getLayer, testing::Combine(
 //////////////////////////////////////////////////////////////////////
 // HoughLines
 
-GPU_PERF_TEST(HoughLines, cv::gpu::DeviceInfo, std::string)
+IMPLEMENT_PARAM_CLASS(DoSort, bool)
+
+GPU_PERF_TEST(HoughLines, cv::gpu::DeviceInfo, cv::Size, DoSort)
 {
+    declare.time(30.0);
+
     const cv::gpu::DeviceInfo devInfo = GET_PARAM(0);
     cv::gpu::setDevice(devInfo.deviceID());
-    const std::string fileName = GET_PARAM(1);
+    const cv::Size size = GET_PARAM(1);
+    const bool doSort = GET_PARAM(2);
 
     const float rho = 1.0f;
     const float theta = CV_PI / 180.0f;
     const int threshold = 300;
 
-    cv::Mat img_base = readImage(fileName, cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(img_base.empty());
+    cv::RNG rng(123456789);
 
-    cv::Mat img;
-    cv::resize(img_base, img, cv::Size(1920, 1080));
+    cv::Mat src(size, CV_8UC1, cv::Scalar::all(0));
 
-    cv::Mat edges;
-    cv::Canny(img, edges, 50, 200);
+    const int numLines = rng.uniform(500, 2000);
+    for (int i = 0; i < numLines; ++i)
+    {
+        cv::Point p1(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
+        cv::Point p2(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
+        cv::line(src, p1, p2, cv::Scalar::all(255), 2);
+    }
 
-    cv::gpu::GpuMat d_edges(edges);
+    cv::gpu::GpuMat d_src(src);
     cv::gpu::GpuMat d_lines;
     cv::gpu::GpuMat d_accum;
-    cv::gpu::HoughLines(d_edges, d_lines, d_accum, rho, theta, threshold);
+    cv::gpu::HoughLines(d_src, d_lines, d_accum, rho, theta, threshold, doSort);
 
     TEST_CYCLE()
     {
-        cv::gpu::HoughLines(d_edges, d_lines, d_accum, rho, theta, threshold);
+        cv::gpu::HoughLines(d_src, d_lines, d_accum, rho, theta, threshold, doSort);
     }
 }
 
 INSTANTIATE_TEST_CASE_P(ImgProc, HoughLines, testing::Combine(
     ALL_DEVICES,
-    testing::Values(std::string("cv/shared/pic1.png"),
-                    std::string("cv/shared/pic3.png"),
-                    std::string("cv/shared/pic4.png"),
-                    std::string("cv/shared/pic5.png"),
-                    std::string("cv/shared/pic6.png"))));
+    GPU_TYPICAL_MAT_SIZES,
+    testing::Values(DoSort(false), DoSort(true))));
 
 #endif

modules/gpu/perf_cpu/perf_imgproc.cpp

@@ -730,38 +730,42 @@ INSTANTIATE_TEST_CASE_P(ImgProc, CvtColor, testing::Combine(
 //////////////////////////////////////////////////////////////////////
 // HoughLines
 
-GPU_PERF_TEST(HoughLines, cv::gpu::DeviceInfo, std::string)
+IMPLEMENT_PARAM_CLASS(DoSort, bool)
+
+GPU_PERF_TEST(HoughLines, cv::gpu::DeviceInfo, cv::Size, DoSort)
 {
-    const std::string fileName = GET_PARAM(1);
+    declare.time(30.0);
+
+    const cv::Size size = GET_PARAM(1);
 
     const float rho = 1.0f;
     const float theta = CV_PI / 180.0f;
     const int threshold = 300;
 
-    cv::Mat img_base = readImage(fileName, cv::IMREAD_GRAYSCALE);
-    ASSERT_FALSE(img_base.empty());
+    cv::RNG rng(123456789);
 
-    cv::Mat img;
-    cv::resize(img_base, img, cv::Size(1920, 1080));
+    cv::Mat src(size, CV_8UC1, cv::Scalar::all(0));
 
-    cv::Mat edges;
-    cv::Canny(img, edges, 50, 200);
+    const int numLines = rng.uniform(500, 2000);
+    for (int i = 0; i < numLines; ++i)
+    {
+        cv::Point p1(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
+        cv::Point p2(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
+        cv::line(src, p1, p2, cv::Scalar::all(255), 2);
+    }
 
     std::vector<cv::Vec2f> lines;
-    cv::HoughLines(edges, lines, rho, theta, threshold);
+    cv::HoughLines(src, lines, rho, theta, threshold);
 
     TEST_CYCLE()
     {
-        cv::HoughLines(edges, lines, rho, theta, threshold);
+        cv::HoughLines(src, lines, rho, theta, threshold);
     }
 }
 
 INSTANTIATE_TEST_CASE_P(ImgProc, HoughLines, testing::Combine(
     ALL_DEVICES,
-    testing::Values(std::string("cv/shared/pic1.png"),
-                    std::string("cv/shared/pic3.png"),
-                    std::string("cv/shared/pic4.png"),
-                    std::string("cv/shared/pic5.png"),
-                    std::string("cv/shared/pic6.png"))));
+    GPU_TYPICAL_MAT_SIZES,
+    testing::Values(DoSort(false), DoSort(true))));
 
 #endif

modules/gpu/src/cuda/hough.cu

@@ -75,12 +75,12 @@ namespace cv { namespace gpu { namespace device
             }
         }
 
-        void linesAccum_gpu(DevMem2Db src, PtrStep_<uint> accum, float theta, int numangle, int numrho, float irho)
+        void linesAccum_gpu(DevMem2Db src, DevMem2D_<uint> accum, float rho, float theta)
         {
             const dim3 block(32, 8);
             const dim3 grid(divUp(src.cols, block.x), divUp(src.rows, block.y));
 
-            linesAccum<<<grid, block>>>(src, accum, theta, numangle, numrho, irho);
+            linesAccum<<<grid, block>>>(src, accum, theta, accum.rows - 2, accum.cols - 2, 1.0f / rho);
             cudaSafeCall( cudaGetLastError() );
 
             cudaSafeCall( cudaDeviceSynchronize() );
@@ -125,7 +125,7 @@ namespace cv { namespace gpu { namespace device
             }
         }
 
-        int linesGetResult_gpu(DevMem2D_<uint> accum, float2* out, int* voices, int maxSize, float threshold, float theta, float rho, bool doSort)
+        unsigned int linesGetResult_gpu(DevMem2D_<uint> accum, float2* out, int* voices, unsigned int maxSize, float rho, float theta, float threshold, bool doSort)
         {
             void* counter_ptr;
             cudaSafeCall( cudaGetSymbolAddress(&counter_ptr, g_counter) );
@@ -143,7 +143,9 @@ namespace cv { namespace gpu { namespace device
             uint total_count;
             cudaSafeCall( cudaMemcpy(&total_count, counter_ptr, sizeof(uint), cudaMemcpyDeviceToHost) );
 
-            if (doSort)
+            total_count = ::min(total_count, maxSize);
+
+            if (doSort && total_count > 0)
             {
                 thrust::device_ptr<float2> out_ptr(out);
                 thrust::device_ptr<int> voices_ptr(voices);

modules/gpu/src/hough.cpp

@@ -46,8 +46,8 @@ namespace cv { namespace gpu { namespace device
 {
     namespace hough
     {
-        void linesAccum_gpu(DevMem2Db src, PtrStep_<uint> accum, float theta, int numangle, int numrho, float irho);
-        int linesGetResult_gpu(DevMem2D_<uint> accum, float2* out, int* voices, int maxSize, float threshold, float theta, float rho, bool doSort);
+        void linesAccum_gpu(DevMem2Db src, DevMem2D_<uint> accum, float rho, float theta);
+        unsigned int linesGetResult_gpu(DevMem2D_<uint> accum, float2* out, int* voices, unsigned int maxSize, float rho, float theta, float threshold, bool doSort);
     }
 }}}
 
@@ -59,12 +59,11 @@ void cv::gpu::HoughLinesTransform(const GpuMat& src, GpuMat& accum, float rho, f
 
     const int numangle = cvRound(CV_PI / theta);
     const int numrho = cvRound(((src.cols + src.rows) * 2 + 1) / rho);
-    const float irho = 1.0f / rho;
 
-    accum.create(numangle + 2, numrho + 2, CV_32SC1);
+    ensureSizeIsEnough(numangle + 2, numrho + 2, CV_32SC1, accum);
     accum.setTo(cv::Scalar::all(0));
 
-    hough::linesAccum_gpu(src, accum, theta, numangle, numrho, irho);
+    hough::linesAccum_gpu(src, accum, rho, theta);
 }
 
 void cv::gpu::HoughLinesGet(const GpuMat& accum, GpuMat& lines, float rho, float theta, int threshold, bool doSort, int maxLines)
@@ -73,11 +72,11 @@ void cv::gpu::HoughLinesGet(const GpuMat& accum, GpuMat& lines, float rho, float
 
     CV_Assert(accum.type() == CV_32SC1);
 
-    lines.create(2, maxLines, CV_32FC2);
-    int count = hough::linesGetResult_gpu(accum, lines.ptr<float2>(0), lines.ptr<int>(1), maxLines, threshold, theta, rho, doSort);
+    ensureSizeIsEnough(2, maxLines, CV_32FC2, lines);
+    unsigned int count = hough::linesGetResult_gpu(accum, lines.ptr<float2>(0), lines.ptr<int>(1), maxLines, rho, theta, threshold, doSort);
 
     if (count > 0)
-        lines.cols = std::min(count, maxLines);
+        lines.cols = count;
     else
         lines.release();
 }