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added test for caltech images

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This commit is contained in:
marina.kolpakova 2012-08-28 14:45:45 +04:00
parent e2c9e7c3fb
commit a07e33609b
2 changed files with 91 additions and 1 deletions
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41
modules/gpu/perf/perf_objdetect.cpp
View File

@ -45,6 +45,47 @@ PERF_TEST_P(Image, ObjDetect_HOG, Values<string>("gpu/hog/road.png"))
}
}
//===========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

51
modules/gpu/test/test_objdetect.cpp
View File

@ -175,7 +175,8 @@ struct HOG : testing::TestWithParam<cv::gpu::DeviceInfo>, cv::gpu::HOGDescriptor
}
};
TEST_P(HOG, Detect)
// desabled while resize does not fixed
TEST_P(HOG, DISABLED_Detect)
{
cv::Mat img_rgb = readImage("hog/road.png");
ASSERT_FALSE(img_rgb.empty());
@ -286,6 +287,54 @@ TEST_P(HOG, GetDescriptors)
INSTANTIATE_TEST_CASE_P(GPU_ObjDetect, HOG, ALL_DEVICES);
//============== caltech hog tests =====================//
struct CalTech : public ::testing::TestWithParam<std::tr1::tuple<cv::gpu::DeviceInfo, std::string> >
{
cv::gpu::DeviceInfo devInfo;
cv::Mat img;
virtual void SetUp()
{
devInfo = GET_PARAM(0);
cv::gpu::setDevice(devInfo.deviceID());
img = readImage(GET_PARAM(1), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
}
};
TEST_P(CalTech, HOG)
{
cv::gpu::GpuMat d_img(img);
cv::Mat markedImage(img.clone());
cv::gpu::HOGDescriptor d_hog;
d_hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector());
d_hog.nlevels = d_hog.nlevels + 32;
std::vector<cv::Rect> found_locations;
d_hog.detectMultiScale(d_img, found_locations);
#if defined (LOG_CASCADE_STATISTIC)
for (int i = 0; i < (int)found_locations.size(); i++)
{
cv::Rect r = found_locations[i];
std::cout << r.x << " " << r.y << " " << r.width << " " << r.height << std::endl;
cv::rectangle(markedImage, r , CV_RGB(255, 0, 0));
}
cv::imshow("Res", markedImage); cv::waitKey();
#endif
}
INSTANTIATE_TEST_CASE_P(detect, CalTech, testing::Combine(ALL_DEVICES,
::testing::Values<std::string>("caltech/image_00000009_0.png", "caltech/image_00000032_0.png",
"caltech/image_00000165_0.png", "caltech/image_00000261_0.png", "caltech/image_00000469_0.png",
"caltech/image_00000527_0.png", "caltech/image_00000574_0.png")));
//////////////////////////////////////////////////////////////////////////////////////////
/// LBP classifier