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how to get detector from trained svm classifier?

I have trained a classifer using https://github.com/Itseez/opencv/blob/master/samples/cpp/train_HOG.cpp. The number of positive samples is 48404 and negative samples is 46112. When I used this classifer to detect pedestrain, it's very slow and the accuracy is low. The detection time is 229 ms. The result likes this. image description But after I changed memcpy(&hog_detector[0], sv.ptr(), sv.colssizeof(hog_detector[0])); hog_detector[sv.cols] = (float)-rho;* to for (int i = 0; i < sv.cols; i++) { hog_detector[i] = -1.0 * sv.at<float>(0, i); } hog_detector[sv.cols] = (float)rho; in function void get_svm_detector(const Ptr<svm>& svm, vector< float > & hog_detector ). It runs faster and the result likes this.image description The classifier file is here.

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Which way is right and how can I do?

how to get detector from trained svm classifier?

I have trained a classifer using https://github.com/Itseez/opencv/blob/master/samples/cpp/train_HOG.cpp. The number of positive samples is 48404 and negative samples is 46112. When I used this classifer to detect pedestrain, it's very slow and the accuracy is low. The detection time is 229 48741 ms. The result likes this. image description But after I changed memcpy(&hog_detector[0], sv.ptr(), sv.colssizeof(hog_detector[0])); hog_detector[sv.cols] = (float)-rho;* to for (int i = 0; i < sv.cols; i++) { hog_detector[i] = -1.0 * sv.at<float>(0, i); } hog_detector[sv.cols] = (float)rho; in function void get_svm_detector(const Ptr<svm>& svm, vector< float > & hog_detector ). It runs faster and faster. The detection time is 229 ms. And the result likes this.image description The classifier file is here.

%YAML:1.0 opencv_ml_svm: format: 3 svmType: C_SVC kernel: type: LINEAR C: 1.0000000000000000e-002 term_criteria: { epsilon:1.0000000000000000e-003, iterations:1000 } var_count: 3780 class_count: 2 class_labels: !!opencv-matrix rows: 2 cols: 1 dt: i data: [ -1, 1 ] sv_total: 1 support_vectors: - [ -2.61618104e-002, 3.29752220e-003, -1.29569806e-002, -1.12012550e-002, -8.74134805e-003, -6.53320318e-003, -3.21041122e-002, -2.55674440e-002, -3.50760855e-002, 3.24817514e-003, 3.41469869e-002, 1.29222346e-003, 9.22481716e-003, 6.77467836e-003, 1.76859535e-002, -1.00619644e-002, 2.88390107e-002, 3.63118458e-003, 1.11764949e-002, -6.04125811e-003, -1.21065676e-002, 1.03153777e-003, 4.79206350e-003, -1.64222717e-002, -1.88224390e-002, 1.62412897e-002, 1.12246191e-002, -2.35342365e-002, -2.75968462e-002, -2.44492255e-002, -1.75507385e-002, -1.55860670e-002, 6.22355659e-003, -1.01223858e-002, 4.47303429e-003, -1.75614469e-002, 3.16085070e-002, 3.35494950e-002, -1.66904479e-002, -1.37733119e-002, 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Which way is right and how can I do?