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