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139
ch15/knnplane/knnplane.vcxproj
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139
ch15/knnplane/knnplane.vcxproj
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22
ch15/knnplane/knnplane.vcxproj.filters
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22
ch15/knnplane/knnplane.vcxproj.filters
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@@ -0,0 +1,22 @@
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<?xml version="1.0" encoding="utf-8"?>
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<Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
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<ItemGroup>
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<Filter Include="소스 파일">
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<UniqueIdentifier>{4FC737F1-C7A5-4376-A066-2A32D752A2FF}</UniqueIdentifier>
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<Extensions>cpp;c;cc;cxx;c++;cppm;ixx;def;odl;idl;hpj;bat;asm;asmx</Extensions>
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<ClCompile Include="main.cpp">
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</Project>
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98
ch15/knnplane/main.cpp
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98
ch15/knnplane/main.cpp
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@@ -0,0 +1,98 @@
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#include "opencv2/opencv.hpp"
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#include <iostream>
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using namespace cv;
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using namespace cv::ml;
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using namespace std;
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Mat img;
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Mat train, label;
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Ptr<KNearest> knn;
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int k_value = 1;
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void on_k_changed(int k, void* userdata);
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void addPoint(const Point& pt, int cls);
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void trainAndDisplay();
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int main() {
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img = Mat::zeros(Size(500, 500), CV_8UC3);
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knn = KNearest::create();
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const int NUM = 30;
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Mat rn(NUM, 2, CV_32SC1);
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randn(rn, 0, 50);
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for (int i = 0; i < NUM; i++) {
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addPoint(Point(rn.at<int>(i, 0) + 150, rn.at<int>(i, 1) + 150), 0);
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}
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randn(rn, 0, 50);
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for (int i = 0; i < NUM; i++) {
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addPoint(Point(rn.at<int>(i, 0) + 350, rn.at<int>(i, 1) + 150), 1);
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}
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randn(rn, 0, 70);
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for (int i = 0; i < NUM; i++) {
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addPoint(Point(rn.at<int>(i, 0) + 250, rn.at<int>(i, 1) + 400), 2);
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}
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namedWindow("knn");
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createTrackbar("k", "knn", &k_value, 10, on_k_changed);
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trainAndDisplay();
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waitKey();
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destroyAllWindows();
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return 0;
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}
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void on_k_changed(int k, void* userdata) {
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if (k_value < 1) {
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k_value = 1;
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} else {
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k_value = k;
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}
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trainAndDisplay();
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}
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void addPoint(const Point& pt, int cls) {
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Mat new_sample = (Mat_<float>(1, 2) << pt.x, pt.y);
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train.push_back(new_sample);
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Mat new_label = (Mat_<int>(1, 1) << cls);
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label.push_back(new_label);
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}
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void trainAndDisplay() {
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knn->train(train, ROW_SAMPLE, label);
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for (int i = 0; i < img.rows; i++) {
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for (int j = 0; j < img.cols; j++) {
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Mat sample = (Mat_<float>(1, 2) << j, i);
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Mat res;
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knn->findNearest(sample, k_value, res);
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int response = cvRound(res.at<float>(0, 0));
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if (response == 0)
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img.at<Vec3b>(i, j) = Vec3b(128, 128, 255);
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if (response == 1)
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img.at<Vec3b>(i, j) = Vec3b(128, 255, 128);
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if (response == 2)
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img.at<Vec3b>(i, j) = Vec3b(255, 128, 128);
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}
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}
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for (int i = 0; i < train.rows; i++) {
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int x = cvRound(train.at<float>(i, 0));
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int y = cvRound(train.at<float>(i, 1));
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int l = label.at<int>(i, 0);
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if (l == 0)
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circle(img, Point(x, y), 5, Scalar(0, 0, 128), -1, LINE_AA);
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if (l == 1)
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circle(img, Point(x, y), 5, Scalar(0, 128, 0), -1, LINE_AA);
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if (l == 2)
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circle(img, Point(x, y), 5, Scalar(128, 0, 0), -1, LINE_AA);
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}
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imshow("knn", img);
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}
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