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Open Source Computer Vision Library
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60 lines
1.6 KiB
60 lines
1.6 KiB
#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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