Open Source Computer Vision Library https://opencv.org/
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#include "perf_precomp.hpp"
using namespace std;
using namespace testing;
namespace {
///////////////////////////////////////////////////////////////
// HOG
DEF_PARAM_TEST_1(Image, string);
PERF_TEST_P(Image, ObjDetect_HOG, Values<string>("gpu/hog/road.png"))
{
cv::Mat img = readImage(GetParam(), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
std::vector<cv::Rect> found_locations;
if (runOnGpu)
{
cv::gpu::GpuMat d_img(img);
cv::gpu::HOGDescriptor d_hog;
d_hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector());
d_hog.detectMultiScale(d_img, found_locations);
TEST_CYCLE()
{
d_hog.detectMultiScale(d_img, found_locations);
}
}
else
{
cv::HOGDescriptor hog;
hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector());
hog.detectMultiScale(img, found_locations);
TEST_CYCLE()
{
hog.detectMultiScale(img, found_locations);
}
}
}
///////////////////////////////////////////////////////////////
// HaarClassifier
typedef pair<string, string> pair_string;
DEF_PARAM_TEST_1(ImageAndCascade, pair_string);
PERF_TEST_P(ImageAndCascade, ObjDetect_HaarClassifier,
Values<pair_string>(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/perf/haarcascade_frontalface_alt.xml")))
{
cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
if (runOnGpu)
{
cv::gpu::CascadeClassifier_GPU d_cascade;
ASSERT_TRUE(d_cascade.load(perf::TestBase::getDataPath(GetParam().second)));
cv::gpu::GpuMat d_img(img);
cv::gpu::GpuMat d_objects_buffer;
d_cascade.detectMultiScale(d_img, d_objects_buffer);
TEST_CYCLE()
{
d_cascade.detectMultiScale(d_img, d_objects_buffer);
}
}
else
{
cv::CascadeClassifier cascade;
ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/perf/haarcascade_frontalface_alt.xml")));
std::vector<cv::Rect> rects;
cascade.detectMultiScale(img, rects);
TEST_CYCLE()
{
cascade.detectMultiScale(img, rects);
}
}
}
///////////////////////////////////////////////////////////////
// LBP cascade
PERF_TEST_P(ImageAndCascade, ObjDetect_LBPClassifier,
Values<pair_string>(make_pair("gpu/haarcascade/group_1_640x480_VGA.pgm", "gpu/lbpcascade/lbpcascade_frontalface.xml")))
{
cv::Mat img = readImage(GetParam().first, cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
if (runOnGpu)
{
cv::gpu::CascadeClassifier_GPU d_cascade;
ASSERT_TRUE(d_cascade.load(perf::TestBase::getDataPath(GetParam().second)));
cv::gpu::GpuMat d_img(img);
cv::gpu::GpuMat d_gpu_rects;
d_cascade.detectMultiScale(d_img, d_gpu_rects);
TEST_CYCLE()
{
d_cascade.detectMultiScale(d_img, d_gpu_rects);
}
}
else
{
cv::CascadeClassifier cascade;
ASSERT_TRUE(cascade.load(perf::TestBase::getDataPath("gpu/lbpcascade/lbpcascade_frontalface.xml")));
std::vector<cv::Rect> rects;
cascade.detectMultiScale(img, rects);
TEST_CYCLE()
{
cascade.detectMultiScale(img, rects);
}
}
}
} // namespace