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https://github.com/opencv/opencv.git
synced 2024-11-28 13:10:12 +08:00
added minMaxLoc, cornerHarris, remap and dft performance tests
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@ -14,6 +14,15 @@ void Test::gen(Mat& mat, int rows, int cols, int type)
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}
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void Test::gen(Mat& mat, int rows, int cols, int type, double low, double high)
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{
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mat.create(rows, cols, type);
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RNG rng(0);
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rng.fill(mat, RNG::UNIFORM, Scalar::all(low), Scalar::all(high));
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}
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void TestSystem::run()
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{
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cout << setiosflags(ios_base::left);
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@ -46,13 +55,12 @@ void TestSystem::flush()
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int cpu_time = static_cast<int>(cpu_elapsed_ / getTickFrequency() * 1000.0);
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int gpu_time = static_cast<int>(gpu_elapsed_ / getTickFrequency() * 1000.0);
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double speedup = static_cast<double>(cpu_time) / gpu_time;
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speedup_total_ += speedup;
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cpu_elapsed_ = 0;
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gpu_elapsed_ = 0;
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double speedup = static_cast<double>(cpu_time) / std::max(1, gpu_time);
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speedup_total_ += speedup;
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cout << " " << setiosflags(ios_base::fixed | ios_base::left);
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stringstream stream;
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@ -15,6 +15,7 @@ public:
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const std::string& name() const { return name_; }
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void gen(cv::Mat& mat, int rows, int cols, int type);
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void gen(cv::Mat& mat, int rows, int cols, int type, double low, double high);
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virtual void run() = 0;
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@ -83,7 +84,7 @@ private:
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#define TEST(name) \
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struct name##_test: public Test \
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struct name##_test: Test \
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{ \
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name##_test(): Test(#name) { TestSystem::instance()->add(this); } \
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void run(); \
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@ -8,30 +8,30 @@ using namespace cv;
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TEST(matchTemplate)
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{
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Mat image, templ, result;
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gen(image, 3000, 3000, CV_8U);
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gen(image, 3000, 3000, CV_32F);
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gpu::GpuMat d_image(image), d_templ, d_result;
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for (int templ_size = 5; templ_size <= 1000; templ_size *= 2)
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{
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SUBTEST << "img 3000, templ " << templ_size << ", 8U, SQDIFF";
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SUBTEST << "img " << image.rows << ", templ " << templ_size << ", 32F, CCORR";
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gen(templ, templ_size, templ_size, CV_8U);
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gen(templ, templ_size, templ_size, CV_32F);
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CPU_ON;
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matchTemplate(image, templ, result, CV_TM_SQDIFF);
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matchTemplate(image, templ, result, CV_TM_CCORR);
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CPU_OFF;
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d_templ = templ;
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GPU_ON;
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gpu::matchTemplate(d_image, d_templ, d_result, CV_TM_SQDIFF);
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gpu::matchTemplate(d_image, d_templ, d_result, CV_TM_CCORR);
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GPU_OFF;
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}
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}
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TEST(minMaxLoc)
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TEST(minMaxLoc)
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{
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Mat src;
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gpu::GpuMat d_src;
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@ -55,4 +55,80 @@ TEST(minMaxLoc)
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gpu::minMaxLoc(d_src, &min_val, &max_val, &min_loc, &max_loc);
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GPU_OFF;
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}
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}
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TEST(remap)
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{
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Mat src, dst, xmap, ymap;
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gpu::GpuMat d_src, d_dst, d_xmap, d_ymap;
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for (int size = 1000; size <= 8000; size *= 2)
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{
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SUBTEST << "img " << size << " and 8UC1, 32FC1 maps";
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gen(src, size, size, CV_8UC1);
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gen(xmap, size, size, CV_32FC1, 0, size);
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gen(ymap, size, size, CV_32FC1, 0, size);
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CPU_ON;
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remap(src, dst, xmap, ymap, INTER_LINEAR);
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CPU_OFF;
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d_src = src;
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d_xmap = xmap;
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d_ymap = ymap;
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GPU_ON;
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gpu::remap(d_src, d_dst, d_xmap, d_ymap);
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GPU_OFF;
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}
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}
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TEST(dft)
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{
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Mat src, dst;
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gpu::GpuMat d_src, d_dst;
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for (int size = 1000; size <= 4000; size += 1000)
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{
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SUBTEST << "size " << size << ", 32FC2, complex-to-complex";
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gen(src, size, size, CV_32FC2);
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CPU_ON;
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dft(src, dst);
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CPU_OFF;
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d_src = src;
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GPU_ON;
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gpu::dft(d_src, d_dst, Size(size, size));
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GPU_OFF;
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}
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}
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TEST(cornerHarris)
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{
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Mat src, dst;
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gpu::GpuMat d_src, d_dst;
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for (int size = 2000; size <= 4000; size *= 2)
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{
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SUBTEST << "size " << size << ", 32FC1";
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gen(src, size, size, CV_32FC1);
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CPU_ON;
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cornerHarris(src, dst, 5, 7, 0.1, BORDER_REFLECT101);
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CPU_OFF;
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d_src = src;
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GPU_ON;
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gpu::cornerHarris(d_src, d_dst, 5, 7, 0.1);
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GPU_OFF;
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}
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}
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