#include "perf_precomp.hpp" using namespace std; using namespace testing; using namespace perf; /////////////////////////////////////////////////////////////// // HOG DEF_PARAM_TEST_1(Image, string); PERF_TEST_P(Image, ObjDetect_HOG, Values("gpu/hog/road.png", "gpu/caltech/image_00000009_0.png", "gpu/caltech/image_00000032_0.png", "gpu/caltech/image_00000165_0.png", "gpu/caltech/image_00000261_0.png", "gpu/caltech/image_00000469_0.png", "gpu/caltech/image_00000527_0.png", "gpu/caltech/image_00000574_0.png")) { const cv::Mat img = readImage(GetParam(), cv::IMREAD_GRAYSCALE); ASSERT_FALSE(img.empty()); if (PERF_RUN_GPU()) { const cv::gpu::GpuMat d_img(img); std::vector gpu_found_locations; cv::gpu::HOGDescriptor d_hog; d_hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector()); TEST_CYCLE() d_hog.detectMultiScale(d_img, gpu_found_locations); SANITY_CHECK(gpu_found_locations); } else { std::vector cpu_found_locations; cv::HOGDescriptor hog; hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector()); TEST_CYCLE() hog.detectMultiScale(img, cpu_found_locations); SANITY_CHECK(cpu_found_locations); } } /////////////////////////////////////////////////////////////// // HaarClassifier typedef pair pair_string; DEF_PARAM_TEST_1(ImageAndCascade, pair_string); PERF_TEST_P(ImageAndCascade, ObjDetect_HaarClassifier, Values(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/perf/haarcascade_frontalface_alt.xml"))) { const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE); ASSERT_FALSE(img.empty()); if (PERF_RUN_GPU()) { cv::gpu::CascadeClassifier_GPU d_cascade; ASSERT_TRUE(d_cascade.load(perf::TestBase::getDataPath(GetParam().second))); const cv::gpu::GpuMat d_img(img); cv::gpu::GpuMat objects_buffer; int detections_num = 0; TEST_CYCLE() detections_num = d_cascade.detectMultiScale(d_img, objects_buffer); std::vector gpu_rects(detections_num); cv::Mat gpu_rects_mat(1, detections_num, cv::DataType::type, &gpu_rects[0]); objects_buffer.colRange(0, detections_num).download(gpu_rects_mat); cv::groupRectangles(gpu_rects, 3, 0.2); SANITY_CHECK(gpu_rects); } else { cv::CascadeClassifier cascade; ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/perf/haarcascade_frontalface_alt.xml"))); std::vector cpu_rects; TEST_CYCLE() cascade.detectMultiScale(img, cpu_rects); SANITY_CHECK(cpu_rects); } } /////////////////////////////////////////////////////////////// // LBP cascade PERF_TEST_P(ImageAndCascade, ObjDetect_LBPClassifier, Values(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/lbpcascade/lbpcascade_frontalface.xml"))) { const cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE); ASSERT_FALSE(img.empty()); if (PERF_RUN_GPU()) { cv::gpu::CascadeClassifier_GPU d_cascade; ASSERT_TRUE(d_cascade.load(perf::TestBase::getDataPath(GetParam().second))); const cv::gpu::GpuMat d_img(img); cv::gpu::GpuMat objects_buffer; int detections_num = 0; TEST_CYCLE() detections_num = d_cascade.detectMultiScale(d_img, objects_buffer); std::vector gpu_rects(detections_num); cv::Mat gpu_rects_mat(1, detections_num, cv::DataType::type, &gpu_rects[0]); objects_buffer.colRange(0, detections_num).download(gpu_rects_mat); cv::groupRectangles(gpu_rects, 3, 0.2); SANITY_CHECK(gpu_rects); } else { cv::CascadeClassifier cascade; ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/lbpcascade/lbpcascade_frontalface.xml"))); std::vector cpu_rects; TEST_CYCLE() cascade.detectMultiScale(img, cpu_rects); SANITY_CHECK(cpu_rects); } }