|
|
|
#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);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
//===========test for CalTech data =============//
|
|
|
|
DEF_PARAM_TEST_1(HOG, string);
|
|
|
|
|
|
|
|
PERF_TEST_P(HOG, CalTech, Values<string>("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"))
|
|
|
|
{
|
|
|
|
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
|