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USW
2025-05-28 12:11:05 +09:00
parent d65e1aeed5
commit 007ed02f59
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142
ch15/knndigits/knndigits.vcxproj Normal file
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ch15/knndigits/knndigits.vcxproj.filters Normal file
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ch15/knndigits/main.cpp Normal file
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#include "opencv2/opencv.hpp"
#include <iostream>
using namespace cv;
using namespace cv::ml;
using namespace std;
Ptr<KNearest> train_knn();
void on_mouse(int event, int x, int y, int flags, void* userdata);
int main() {
Ptr<KNearest> knn = train_knn();
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, img_float, img_flatten, res;
resize(img, img_resize, Size(20, 20), 0, 0, INTER_AREA);
img_resize.convertTo(img_float, CV_32F);
img_flatten = img_float.reshape(1, 1);
knn->findNearest(img_flatten, 3, res);
cout << cvRound(res.at<float>(0, 0)) << endl;
img.setTo(0);
imshow("img", img);
}
}
return 0;
}
Ptr<KNearest> train_knn() {
Mat digits = imread("../../resources/images/digits.png", IMREAD_GRAYSCALE);
Mat train_images, train_labels;
for (int j = 0; j < 50; j++) {
for (int i = 0; i < 100; i++) {
Mat roi, roi_float, roi_flatten;
roi = digits(Rect(i * 20, j * 20, 20, 20));
roi.convertTo(roi_float, CV_32F);
roi_flatten = roi_float.reshape(1, 1);
train_images.push_back(roi_flatten);
train_labels.push_back(j / 5);
}
}
Ptr<KNearest> knn = KNearest::create();
knn->train(train_images, ROW_SAMPLE, train_labels);
return knn;
}
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);
}
}