61 lines
1.6 KiB
C++
61 lines
1.6 KiB
C++
#include "perf_precomp.hpp"
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#ifdef HAVE_CUDA
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///////////////////////////////////////////////////////////////
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// HOG
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GPU_PERF_TEST_1(HOG, cv::gpu::DeviceInfo)
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{
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cv::gpu::DeviceInfo devInfo = GetParam();
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cv::gpu::setDevice(devInfo.deviceID());
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cv::Mat img_host = readImage("gpu/hog/road.png", cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(img_host.empty());
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cv::gpu::GpuMat img(img_host);
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std::vector<cv::Rect> found_locations;
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cv::gpu::HOGDescriptor hog;
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hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector());
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hog.detectMultiScale(img, found_locations);
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TEST_CYCLE()
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{
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hog.detectMultiScale(img, found_locations);
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}
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}
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INSTANTIATE_TEST_CASE_P(ObjDetect, HOG, ALL_DEVICES);
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///////////////////////////////////////////////////////////////
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// HaarClassifier
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GPU_PERF_TEST_1(HaarClassifier, cv::gpu::DeviceInfo)
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{
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cv::gpu::DeviceInfo devInfo = GetParam();
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cv::gpu::setDevice(devInfo.deviceID());
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cv::Mat img_host = readImage("gpu/haarcascade/group_1_640x480_VGA.pgm", cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(img_host.empty());
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cv::gpu::CascadeClassifier_GPU cascade;
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ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/perf/haarcascade_frontalface_alt.xml")));
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cv::gpu::GpuMat img(img_host);
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cv::gpu::GpuMat objects_buffer;
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cascade.detectMultiScale(img, objects_buffer);
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TEST_CYCLE()
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{
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cascade.detectMultiScale(img, objects_buffer);
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}
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}
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INSTANTIATE_TEST_CASE_P(ObjDetect, HaarClassifier, ALL_DEVICES);
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#endif
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