#include #include #include #include #include #include "performance.h" using namespace std; using namespace cv; void InitMatchTemplate() { Mat src; gen(src, 500, 500, CV_32F, 0, 1); Mat templ; gen(templ, 500, 500, CV_32F, 0, 1); gpu::GpuMat d_src(src), d_templ(templ), d_dst; gpu::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR); } TEST(matchTemplate) { InitMatchTemplate(); Mat src, templ, dst; gen(src, 3000, 3000, CV_32F, 0, 1); gpu::GpuMat d_src(src), d_templ, d_dst; for (int templ_size = 5; templ_size < 200; templ_size *= 5) { SUBTEST << "src " << src.rows << ", templ " << templ_size << ", 32F, CCORR"; gen(templ, templ_size, templ_size, CV_32F, 0, 1); dst.create(src.rows - templ.rows + 1, src.cols - templ.cols + 1, CV_32F); CPU_ON; matchTemplate(src, templ, dst, CV_TM_CCORR); CPU_OFF; d_templ = templ; d_dst.create(d_src.rows - d_templ.rows + 1, d_src.cols - d_templ.cols + 1, CV_32F); GPU_ON; gpu::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR); GPU_OFF; } } TEST(minMaxLoc) { Mat src; gpu::GpuMat d_src; double min_val, max_val; Point min_loc, max_loc; for (int size = 2000; size <= 8000; size *= 2) { SUBTEST << "src " << size << ", 32F, no mask"; gen(src, size, size, CV_32F, 0, 1); CPU_ON; minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc); CPU_OFF; d_src = src; GPU_ON; gpu::minMaxLoc(d_src, &min_val, &max_val, &min_loc, &max_loc); GPU_OFF; } } TEST(remap) { Mat src, dst, xmap, ymap; gpu::GpuMat d_src, d_dst, d_xmap, d_ymap; for (int size = 1000; size <= 8000; size *= 2) { SUBTEST << "src " << size << " and 8U, 32F maps"; gen(src, size, size, CV_8UC1, 0, 256); xmap.create(size, size, CV_32F); ymap.create(size, size, CV_32F); for (int i = 0; i < size; ++i) { float* xmap_row = xmap.ptr(i); float* ymap_row = ymap.ptr(i); for (int j = 0; j < size; ++j) { xmap_row[j] = (j - size * 0.5f) * 0.75f + size * 0.5f; ymap_row[j] = (i - size * 0.5f) * 0.75f + size * 0.5f; } } dst.create(xmap.size(), src.type()); CPU_ON; remap(src, dst, xmap, ymap, INTER_LINEAR); CPU_OFF; d_src = src; d_xmap = xmap; d_ymap = ymap; d_dst.create(d_xmap.size(), d_src.type()); GPU_ON; gpu::remap(d_src, d_dst, d_xmap, d_ymap); GPU_OFF; } } TEST(dft) { Mat src, dst; gpu::GpuMat d_src, d_dst; for (int size = 1000; size <= 4000; size *= 2) { SUBTEST << "size " << size << ", 32FC2, complex-to-complex"; gen(src, size, size, CV_32FC2, Scalar::all(0), Scalar::all(1)); dst.create(src.size(), src.type()); CPU_ON; dft(src, dst); CPU_OFF; d_src = src; d_dst.create(d_src.size(), d_src.type()); GPU_ON; gpu::dft(d_src, d_dst, Size(size, size)); GPU_OFF; } } TEST(cornerHarris) { Mat src, dst; gpu::GpuMat d_src, d_dst; for (int size = 2000; size <= 4000; size *= 2) { SUBTEST << "size " << size << ", 32F"; gen(src, size, size, CV_32F, 0, 1); dst.create(src.size(), src.type()); CPU_ON; cornerHarris(src, dst, 5, 7, 0.1, BORDER_REFLECT101); CPU_OFF; d_src = src; d_dst.create(src.size(), src.type()); GPU_ON; gpu::cornerHarris(d_src, d_dst, 5, 7, 0.1, BORDER_REFLECT101); GPU_OFF; } } TEST(integral) { Mat src, sum; gpu::GpuMat d_src, d_sum, d_buf; int size = 4000; gen(src, size, size, CV_8U, 0, 256); sum.create(size + 1, size + 1, CV_32S); d_src = src; d_sum.create(size + 1, size + 1, CV_32S); for (int i = 0; i < 5; ++i) { SUBTEST << "size " << size << ", 8U"; CPU_ON; integral(src, sum); CPU_OFF; GPU_ON; gpu::integralBuffered(d_src, d_sum, d_buf); GPU_OFF; } } TEST(norm) { Mat src; gpu::GpuMat d_src, d_buf; for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size << ", 32FC4, NORM_INF"; gen(src, size, size, CV_32FC4, Scalar::all(0), Scalar::all(1)); CPU_ON; for (int i = 0; i < 5; ++i) norm(src, NORM_INF); CPU_OFF; d_src = src; GPU_ON; for (int i = 0; i < 5; ++i) gpu::norm(d_src, NORM_INF, d_buf); GPU_OFF; } } TEST(meanShift) { int sp = 10, sr = 10; Mat src, dst; gpu::GpuMat d_src, d_dst; for (int size = 400; size <= 800; size *= 2) { SUBTEST << "size " << size << ", 8UC3 vs 8UC4"; gen(src, size, size, CV_8UC3, Scalar::all(0), Scalar::all(256)); dst.create(src.size(), src.type()); CPU_ON; pyrMeanShiftFiltering(src, dst, sp, sr); CPU_OFF; gen(src, size, size, CV_8UC4, Scalar::all(0), Scalar::all(256)); d_src = src; d_dst.create(d_src.size(), d_src.type()); GPU_ON; gpu::meanShiftFiltering(d_src, d_dst, sp, sr); GPU_OFF; } } TEST(SURF) { Mat src1 = imread(abspath("aloeL.jpg"), CV_LOAD_IMAGE_GRAYSCALE); Mat src2 = imread(abspath("aloeR.jpg"), CV_LOAD_IMAGE_GRAYSCALE); if (src1.empty()) throw runtime_error("can't open aloeL.jpg"); if (src2.empty()) throw runtime_error("can't open aloeR.jpg"); gpu::GpuMat d_src1(src1); gpu::GpuMat d_src2(src2); SURF surf; vector keypoints1, keypoints2; vector descriptors1, descriptors2; CPU_ON; surf(src1, Mat(), keypoints1, descriptors1); surf(src2, Mat(), keypoints2, descriptors2); CPU_OFF; gpu::SURF_GPU d_surf; gpu::GpuMat d_keypoints1, d_keypoints2; gpu::GpuMat d_descriptors1, d_descriptors2; GPU_ON; d_surf(d_src1, gpu::GpuMat(), d_keypoints1, d_descriptors1); d_surf(d_src2, gpu::GpuMat(), d_keypoints2, d_descriptors2); GPU_OFF; } TEST(BruteForceMatcher) { // Init CPU matcher int desc_len = 128; BruteForceMatcher< L2 > matcher; Mat query; gen(query, 3000, desc_len, CV_32F, 0, 1); Mat train; gen(train, 3000, desc_len, CV_32F, 0, 1); // Init GPU matcher gpu::BruteForceMatcher_GPU< L2 > d_matcher; gpu::GpuMat d_query(query); gpu::GpuMat d_train(train); // Output vector< vector > matches(1); vector< vector > d_matches(1); SUBTEST << "match"; CPU_ON; matcher.match(query, train, matches[0]); CPU_OFF; GPU_ON; d_matcher.match(d_query, d_train, d_matches[0]); GPU_OFF; SUBTEST << "knnMatch"; int knn = 10; CPU_ON; matcher.knnMatch(query, train, matches, knn); CPU_OFF; GPU_ON; d_matcher.knnMatch(d_query, d_train, d_matches, knn); GPU_OFF; SUBTEST << "radiusMatch"; float max_distance = 3.8f; CPU_ON; matcher.radiusMatch(query, train, matches, max_distance); CPU_OFF; GPU_ON; d_matcher.radiusMatch(d_query, d_train, d_matches, max_distance); GPU_OFF; } TEST(magnitude) { Mat x, y, mag; gpu::GpuMat d_x, d_y, d_mag; for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size; gen(x, size, size, CV_32F, 0, 1); gen(y, size, size, CV_32F, 0, 1); mag.create(size, size, CV_32F); CPU_ON; magnitude(x, y, mag); CPU_OFF; d_x = x; d_y = y; d_mag.create(size, size, CV_32F); GPU_ON; gpu::magnitude(d_x, d_y, d_mag); GPU_OFF; } } TEST(add) { Mat src1, src2, dst; gpu::GpuMat d_src1, d_src2, d_dst; for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size << ", 32F"; gen(src1, size, size, CV_32F, 0, 1); gen(src2, size, size, CV_32F, 0, 1); dst.create(size, size, CV_32F); CPU_ON; add(src1, src2, dst); CPU_OFF; d_src1 = src1; d_src2 = src2; d_dst.create(size, size, CV_32F); GPU_ON; gpu::add(d_src1, d_src2, d_dst); GPU_OFF; } } TEST(log) { Mat src, dst; gpu::GpuMat d_src, d_dst; for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size << ", 32F"; gen(src, size, size, CV_32F, 1, 10); dst.create(size, size, CV_32F); CPU_ON; log(src, dst); CPU_OFF; d_src = src; d_dst.create(size, size, CV_32F); GPU_ON; gpu::log(d_src, d_dst); GPU_OFF; } } TEST(exp) { Mat src, dst; gpu::GpuMat d_src, d_dst; for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size << ", 32F"; gen(src, size, size, CV_32F, 0, 1); dst.create(size, size, CV_32F); CPU_ON; exp(src, dst); CPU_OFF; d_src = src; d_dst.create(size, size, CV_32F); GPU_ON; gpu::exp(d_src, d_dst); GPU_OFF; } } TEST(mulSpectrums) { Mat src1, src2, dst; gpu::GpuMat d_src1, d_src2, d_dst; for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size; gen(src1, size, size, CV_32FC2, Scalar::all(0), Scalar::all(1)); gen(src2, size, size, CV_32FC2, Scalar::all(0), Scalar::all(1)); dst.create(size, size, CV_32FC2); CPU_ON; mulSpectrums(src1, src2, dst, 0, true); CPU_OFF; d_src1 = src1; d_src2 = src2; d_dst.create(size, size, CV_32FC2); GPU_ON; gpu::mulSpectrums(d_src1, d_src2, d_dst, 0, true); GPU_OFF; } } TEST(resize) { Mat src, dst; gpu::GpuMat d_src, d_dst; for (int size = 1000; size <= 3000; size += 1000) { SUBTEST << "size " << size; gen(src, size, size, CV_8U, 0, 256); dst.create(size * 2, size * 2, CV_8U); CPU_ON; resize(src, dst, dst.size()); CPU_OFF; d_src = src; d_dst.create(size * 2, size * 2, CV_8U); GPU_ON; gpu::resize(d_src, d_dst, d_dst.size()); GPU_OFF; } } TEST(Sobel) { Mat src, dst; gpu::GpuMat d_src, d_dst; for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size << ", 32F"; gen(src, size, size, CV_32F, 0, 1); dst.create(size, size, CV_32F); CPU_ON; Sobel(src, dst, dst.depth(), 1, 1); CPU_OFF; d_src = src; d_dst.create(size, size, CV_32F); GPU_ON; gpu::Sobel(d_src, d_dst, d_dst.depth(), 1, 1); GPU_OFF; } } TEST(cvtColor) { Mat src, dst; gpu::GpuMat d_src, d_dst; gen(src, 4000, 4000, CV_8UC1, 0, 255); d_src.upload(src); SUBTEST << "size 4000, CV_GRAY2BGRA"; dst.create(src.size(), CV_8UC4); CPU_ON; cvtColor(src, dst, CV_GRAY2BGRA, 4); CPU_OFF; d_dst.create(d_src.size(), CV_8UC4); GPU_ON; gpu::cvtColor(d_src, d_dst, CV_GRAY2BGRA, 4); GPU_OFF; cv::swap(src, dst); d_src.swap(d_dst); SUBTEST << "size 4000, CV_BGR2YCrCb"; dst.create(src.size(), CV_8UC3); CPU_ON; cvtColor(src, dst, CV_BGR2YCrCb); CPU_OFF; d_dst.create(d_src.size(), CV_8UC4); GPU_ON; gpu::cvtColor(d_src, d_dst, CV_BGR2YCrCb, 4); GPU_OFF; cv::swap(src, dst); d_src.swap(d_dst); SUBTEST << "size 4000, CV_YCrCb2BGR"; dst.create(src.size(), CV_8UC4); CPU_ON; cvtColor(src, dst, CV_YCrCb2BGR, 4); CPU_OFF; d_dst.create(d_src.size(), CV_8UC4); GPU_ON; gpu::cvtColor(d_src, d_dst, CV_YCrCb2BGR, 4); GPU_OFF; cv::swap(src, dst); d_src.swap(d_dst); SUBTEST << "size 4000, CV_BGR2XYZ"; dst.create(src.size(), CV_8UC3); CPU_ON; cvtColor(src, dst, CV_BGR2XYZ); CPU_OFF; d_dst.create(d_src.size(), CV_8UC4); GPU_ON; gpu::cvtColor(d_src, d_dst, CV_BGR2XYZ, 4); GPU_OFF; cv::swap(src, dst); d_src.swap(d_dst); SUBTEST << "size 4000, CV_XYZ2BGR"; dst.create(src.size(), CV_8UC4); CPU_ON; cvtColor(src, dst, CV_XYZ2BGR, 4); CPU_OFF; d_dst.create(d_src.size(), CV_8UC4); GPU_ON; gpu::cvtColor(d_src, d_dst, CV_XYZ2BGR, 4); GPU_OFF; cv::swap(src, dst); d_src.swap(d_dst); SUBTEST << "size 4000, CV_BGR2HSV"; dst.create(src.size(), CV_8UC3); CPU_ON; cvtColor(src, dst, CV_BGR2HSV); CPU_OFF; d_dst.create(d_src.size(), CV_8UC4); GPU_ON; gpu::cvtColor(d_src, d_dst, CV_BGR2HSV, 4); GPU_OFF; cv::swap(src, dst); d_src.swap(d_dst); SUBTEST << "size 4000, CV_HSV2BGR"; dst.create(src.size(), CV_8UC4); CPU_ON; cvtColor(src, dst, CV_HSV2BGR, 4); CPU_OFF; d_dst.create(d_src.size(), CV_8UC4); GPU_ON; gpu::cvtColor(d_src, d_dst, CV_HSV2BGR, 4); GPU_OFF; cv::swap(src, dst); d_src.swap(d_dst); } TEST(erode) { Mat src, dst, ker; gpu::GpuMat d_src, d_dst; for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size; gen(src, size, size, CV_8UC4, Scalar::all(0), Scalar::all(256)); ker = getStructuringElement(MORPH_RECT, Size(3, 3)); dst.create(src.size(), src.type()); CPU_ON; erode(src, dst, ker); CPU_OFF; d_src = src; d_dst.create(d_src.size(), d_src.type()); GPU_ON; gpu::erode(d_src, d_dst, ker); GPU_OFF; } } TEST(threshold) { Mat src, dst; gpu::GpuMat d_src, d_dst; for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size << ", 8U, THRESH_TRUNC"; gen(src, size, size, CV_8U, 0, 100); dst.create(size, size, CV_8U); CPU_ON; threshold(src, dst, 50.0, 0.0, THRESH_TRUNC); CPU_OFF; d_src = src; d_dst.create(size, size, CV_8U); GPU_ON; gpu::threshold(d_src, d_dst, 50.0, 0.0, THRESH_TRUNC); GPU_OFF; } for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size << ", 8U, THRESH_BINARY"; gen(src, size, size, CV_8U, 0, 100); dst.create(size, size, CV_8U); CPU_ON; threshold(src, dst, 50.0, 0.0, THRESH_BINARY); CPU_OFF; d_src = src; d_dst.create(size, size, CV_8U); GPU_ON; gpu::threshold(d_src, d_dst, 50.0, 0.0, THRESH_BINARY); GPU_OFF; } for (int size = 2000; size <= 4000; size += 1000) { SUBTEST << "size " << size << ", 32F, THRESH_TRUNC"; gen(src, size, size, CV_32F, 0, 100); dst.create(size, size, CV_32F); CPU_ON; threshold(src, dst, 50.0, 0.0, THRESH_TRUNC); CPU_OFF; d_src = src; d_dst.create(size, size, CV_32F); GPU_ON; gpu::threshold(d_src, d_dst, 50.0, 0.0, THRESH_TRUNC); GPU_OFF; } } TEST(projectPoints) { Mat src; vector dst; gpu::GpuMat d_src, d_dst; Mat rvec; gen(rvec, 1, 3, CV_32F, 0, 1); Mat tvec; gen(tvec, 1, 3, CV_32F, 0, 1); Mat camera_mat; gen(camera_mat, 3, 3, CV_32F, 0, 1); camera_mat.at(0, 1) = 0.f; camera_mat.at(1, 0) = 0.f; camera_mat.at(2, 0) = 0.f; camera_mat.at(2, 1) = 0.f; for (int size = (int)1e6, count = 0; size >= 1e5 && count < 5; size = int(size / 1.4), count++) { SUBTEST << "size " << size; gen(src, 1, size, CV_32FC3, Scalar::all(0), Scalar::all(10)); dst.resize(size); CPU_ON; projectPoints(src, rvec, tvec, camera_mat, Mat(), dst); CPU_OFF; d_src = src; d_dst.create(1, size, CV_32FC2); GPU_ON; gpu::projectPoints(d_src, rvec, tvec, camera_mat, Mat(), d_dst); GPU_OFF; } } void InitSolvePnpRansac() { Mat object; gen(object, 1, 4, CV_32FC3, Scalar::all(0), Scalar::all(100)); Mat image; gen(image, 1, 4, CV_32FC2, Scalar::all(0), Scalar::all(100)); Mat rvec, tvec; gpu::solvePnPRansac(object, image, Mat::eye(3, 3, CV_32F), Mat(), rvec, tvec); } TEST(solvePnPRansac) { InitSolvePnpRansac(); for (int num_points = 5000; num_points <= 300000; num_points = int(num_points * 3.76)) { SUBTEST << "num_points " << num_points; Mat object; gen(object, 1, num_points, CV_32FC3, Scalar::all(10), Scalar::all(100)); Mat image; gen(image, 1, num_points, CV_32FC2, Scalar::all(10), Scalar::all(100)); Mat camera_mat; gen(camera_mat, 3, 3, CV_32F, 0.5, 1); camera_mat.at(0, 1) = 0.f; camera_mat.at(1, 0) = 0.f; camera_mat.at(2, 0) = 0.f; camera_mat.at(2, 1) = 0.f; Mat rvec, tvec; const int num_iters = 200; const float max_dist = 2.0f; vector inliers_cpu, inliers_gpu; CPU_ON; solvePnPRansac(object, image, camera_mat, Mat(), rvec, tvec, false, num_iters, max_dist, int(num_points * 0.05), &inliers_cpu); CPU_OFF; GPU_ON; gpu::solvePnPRansac(object, image, camera_mat, Mat(), rvec, tvec, false, num_iters, max_dist, int(num_points * 0.05), &inliers_gpu); GPU_OFF; } }