Files
Capstone_Design/ch15/svmdigits/main.cpp
2025-05-28 12:11:05 +09:00

91 lines
1.9 KiB
C++

#include "opencv2/opencv.hpp"
#include <iostream>
using namespace cv;
using namespace cv::ml;
using namespace std;
Ptr<SVM> train_hog_svm(const HOGDescriptor& hog);
void on_mouse(int event, int x, int y, int flags, void* userdata);
int main() {
HOGDescriptor hog(Size(20, 20), Size(10, 10), Size(5, 5), Size(5, 5), 9);
Ptr<SVM> svm = train_hog_svm(hog);
Mat img = Mat::zeros(400, 400, CV_8U);
imshow("img", img);
setMouseCallback("img", on_mouse, (void*)&img);
while (true) {
int c = waitKey(0);
if (c == 27)
break;
else if (c == ' ') {
Mat img_resize;
resize(img, img_resize, Size(20, 20), 0, 0, INTER_AREA);
vector<float> desc;
hog.compute(img_resize, desc);
Mat desc_mat(desc);
int res = cvRound(svm->predict(desc_mat.t()));
cout << res << endl;
img.setTo(0);
imshow("img", img);
}
}
return 0;
}
Ptr<SVM> train_hog_svm(const HOGDescriptor& hog) {
Mat digits = imread("../../resources/images/digits.png", IMREAD_GRAYSCALE);
Mat train_hog, train_labels;
for (int j = 0; j < 50; j++) {
for (int i = 0; i < 100; i++) {
Mat roi = digits(Rect(i * 20, j * 20, 20, 20));
vector<float> desc;
hog.compute(roi, desc);
Mat desc_mat(desc);
train_hog.push_back(desc_mat.t());
train_labels.push_back(j / 5);
}
}
Ptr<SVM> svm = SVM::create();
svm->setType(SVM::Types::C_SVC);
svm->setKernel(SVM::KernelTypes::RBF);
svm->setC(2.5);
svm->setGamma(0.50625);
svm->train(train_hog, ROW_SAMPLE, train_labels);
return svm;
}
Point ptPrev(-1, -1);
void on_mouse(int event, int x, int y, int flags, void* userdata) {
Mat img = *(Mat*)userdata;
if (event == EVENT_LBUTTONDOWN) {
ptPrev = Point(x, y);
}
else if (event == EVENT_LBUTTONUP) {
ptPrev = Point(-1, -1);
}
else if (event == EVENT_MOUSEMOVE && (flags & EVENT_FLAG_LBUTTON)) {
line(img, ptPrev, Point(x, y), Scalar::all(255), 40, LINE_AA, 0);
ptPrev = Point(x, y);
imshow("img", img);
}
}