added test for caltech images
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@@ -45,6 +45,47 @@ PERF_TEST_P(Image, ObjDetect_HOG, Values<string>("gpu/hog/road.png"))
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}
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}
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//===========test for CalTech data =============//
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DEF_PARAM_TEST_1(HOG, string);
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PERF_TEST_P(HOG, CalTech, Values<string>("gpu/caltech/image_00000009_0.png", "gpu/caltech/image_00000032_0.png",
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"gpu/caltech/image_00000165_0.png", "gpu/caltech/image_00000261_0.png", "gpu/caltech/image_00000469_0.png",
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"gpu/caltech/image_00000527_0.png", "gpu/caltech/image_00000574_0.png"))
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{
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cv::Mat img = readImage(GetParam(), cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty());
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std::vector<cv::Rect> found_locations;
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if (runOnGpu)
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{
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cv::gpu::GpuMat d_img(img);
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cv::gpu::HOGDescriptor d_hog;
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d_hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector());
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d_hog.detectMultiScale(d_img, found_locations);
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TEST_CYCLE()
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{
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d_hog.detectMultiScale(d_img, found_locations);
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}
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}
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else
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{
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cv::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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}
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///////////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////
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// HaarClassifier
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// HaarClassifier
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@@ -175,7 +175,8 @@ struct HOG : testing::TestWithParam<cv::gpu::DeviceInfo>, cv::gpu::HOGDescriptor
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}
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}
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};
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};
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TEST_P(HOG, Detect)
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// desabled while resize does not fixed
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TEST_P(HOG, DISABLED_Detect)
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{
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{
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cv::Mat img_rgb = readImage("hog/road.png");
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cv::Mat img_rgb = readImage("hog/road.png");
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ASSERT_FALSE(img_rgb.empty());
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ASSERT_FALSE(img_rgb.empty());
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@@ -286,6 +287,54 @@ TEST_P(HOG, GetDescriptors)
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INSTANTIATE_TEST_CASE_P(GPU_ObjDetect, HOG, ALL_DEVICES);
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INSTANTIATE_TEST_CASE_P(GPU_ObjDetect, HOG, ALL_DEVICES);
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//============== caltech hog tests =====================//
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struct CalTech : public ::testing::TestWithParam<std::tr1::tuple<cv::gpu::DeviceInfo, std::string> >
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Mat img;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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cv::gpu::setDevice(devInfo.deviceID());
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img = readImage(GET_PARAM(1), cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty());
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}
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};
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TEST_P(CalTech, HOG)
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{
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cv::gpu::GpuMat d_img(img);
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cv::Mat markedImage(img.clone());
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cv::gpu::HOGDescriptor d_hog;
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d_hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector());
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d_hog.nlevels = d_hog.nlevels + 32;
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std::vector<cv::Rect> found_locations;
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d_hog.detectMultiScale(d_img, found_locations);
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#if defined (LOG_CASCADE_STATISTIC)
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for (int i = 0; i < (int)found_locations.size(); i++)
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{
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cv::Rect r = found_locations[i];
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std::cout << r.x << " " << r.y << " " << r.width << " " << r.height << std::endl;
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cv::rectangle(markedImage, r , CV_RGB(255, 0, 0));
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}
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cv::imshow("Res", markedImage); cv::waitKey();
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#endif
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}
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INSTANTIATE_TEST_CASE_P(detect, CalTech, testing::Combine(ALL_DEVICES,
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::testing::Values<std::string>("caltech/image_00000009_0.png", "caltech/image_00000032_0.png",
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"caltech/image_00000165_0.png", "caltech/image_00000261_0.png", "caltech/image_00000469_0.png",
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"caltech/image_00000527_0.png", "caltech/image_00000574_0.png")));
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//////////////////////////////////////////////////////////////////////////////////////////
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//////////////////////////////////////////////////////////////////////////////////////////
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/// LBP classifier
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/// LBP classifier
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