A more reasonable verify method for ocl::HOG accuracy test
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@ -53,12 +53,10 @@ PARAM_TEST_CASE(HOG,cv::Size,int)
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{
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cv::Size winSize;
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int type;
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//vector<cv::ocl::Info> info;
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virtual void SetUp()
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{
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winSize = GET_PARAM(0);
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type = GET_PARAM(1);
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//cv::ocl::getDevice(info);
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}
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};
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@ -113,6 +111,12 @@ TEST_P(HOG, GetDescriptors)
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}
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bool match_rect(cv::Rect r1, cv::Rect r2, int threshold)
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{
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return ((abs(r1.x - r2.x) < threshold) && (abs(r1.y - r2.y) < threshold) &&
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(abs(r1.width - r2.width) < threshold) && (abs(r1.height - r2.height) < threshold));
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}
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TEST_P(HOG, Detect)
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{
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// Load image
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@ -161,32 +165,89 @@ TEST_P(HOG, Detect)
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}
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// OpenCL detection
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std::vector<cv::Point> d_v_locations;
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ocl_hog.detect(d_img, d_v_locations, 0);
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cv::Mat d_locations(d_v_locations);
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std::vector<cv::Rect> d_found;
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ocl_hog.detectMultiScale(d_img, d_found, 0, cv::Size(8,8), cv::Size(0,0), 1.05, 2);
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// CPU detection
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std::vector<cv::Point> v_locations;
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std::vector<cv::Rect> found;
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switch (type)
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{
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case CV_8UC1:
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hog.detect(img, v_locations, 0);
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hog.detectMultiScale(img, found, 0, cv::Size(8,8), cv::Size(0,0), 1.05, 2);
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break;
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case CV_8UC4:
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default:
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hog.detect(img_rgb, v_locations, 0);
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hog.detectMultiScale(img_rgb, found, 0, cv::Size(8,8), cv::Size(0,0), 1.05, 2);
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break;
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}
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cv::Mat locations(v_locations);
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// Ground-truth rectangular people window
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cv::Rect win1_64x128(231, 190, 72, 144);
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cv::Rect win2_64x128(621, 156, 97, 194);
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cv::Rect win1_48x96(238, 198, 63, 126);
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cv::Rect win2_48x96(619, 161, 92, 185);
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cv::Rect win3_48x96(488, 136, 56, 112);
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// Compare whether ground-truth windows are detected and compare the number of windows detected.
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std::vector<int> d_comp(4);
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std::vector<int> comp(4);
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for(int i = 0; i < (int)d_comp.size(); i++)
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{
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d_comp[i] = 0;
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comp[i] = 0;
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}
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int threshold = 10;
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int val = 32;
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d_comp[0] = d_found.size();
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comp[0] = found.size();
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if (winSize == cv::Size(48, 96))
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{
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for(int i = 0; i < (int)d_found.size(); i++)
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{
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if (match_rect(d_found[i], win1_48x96, threshold))
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d_comp[1] = val;
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if (match_rect(d_found[i], win2_48x96, threshold))
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d_comp[2] = val;
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if (match_rect(d_found[i], win3_48x96, threshold))
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d_comp[3] = val;
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}
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for(int i = 0; i < (int)found.size(); i++)
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{
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if (match_rect(found[i], win1_48x96, threshold))
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comp[1] = val;
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if (match_rect(found[i], win2_48x96, threshold))
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comp[2] = val;
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if (match_rect(found[i], win3_48x96, threshold))
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comp[3] = val;
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}
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}
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else if (winSize == cv::Size(64, 128))
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{
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for(int i = 0; i < (int)d_found.size(); i++)
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{
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if (match_rect(d_found[i], win1_64x128, threshold))
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d_comp[1] = val;
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if (match_rect(d_found[i], win2_64x128, threshold))
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d_comp[2] = val;
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}
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for(int i = 0; i < (int)found.size(); i++)
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{
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if (match_rect(found[i], win1_64x128, threshold))
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comp[1] = val;
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if (match_rect(found[i], win2_64x128, threshold))
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comp[2] = val;
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}
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}
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char s[100]={0};
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EXPECT_MAT_NEAR(d_locations, locations, 0, s);
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EXPECT_MAT_NEAR(cv::Mat(d_comp), cv::Mat(comp), 3, s);
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}
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INSTANTIATE_TEST_CASE_P(OCL_ObjDetect, HOG, testing::Combine(
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, HOG, testing::Combine(
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testing::Values(cv::Size(64, 128), cv::Size(48, 96)),
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC3),MatType(CV_8UC4))));
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testing::Values(MatType(CV_8UC1), MatType(CV_8UC4))));
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#endif //HAVE_OPENCL
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