机器学习---opencv实现简单的KNN算法

来源：互联网发布：linux 文件高级权限编辑：程序博客网时间：2024/06/05 08:43

注意：我的OpenCV的版本是3.0.0，可能是版本的原因吧，从网上找的测试程序一直出错。一个简单的Demo例子。

#include<opencv2/opencv.hpp>#include <opencv2/ml/ml.hpp>  #include <opencv2/core/core.hpp>  #include <opencv2/highgui/highgui.hpp>    #include<iostream>#include "ml.hpp"#include "highgui.h"#include <stdlib.h>#include <time.h>using namespace cv;using namespace std;using namespace cv::ml;int main(){float labels[10] = { 0, 0, 0, 0, 0, 1, 1, 1, 1, 1 };Mat labelsMat(10, 1, CV_32FC1, labels);cout << labelsMat << endl;cout << labelsMat.size() << endl;float trainingData[10][2];int k = 5;srand(time(0));for (int i = 0; i<5; i++){trainingData[i][0] = rand() % 255 + 1;trainingData[i][1] = rand() % 255 + 1;trainingData[i + 5][0] = rand() % 255 + 255;trainingData[i + 5][1] = rand() % 255 + 255;}Mat trainingDataMat(10, 2, CV_32FC1, trainingData);cout << trainingDataMat << endl;KNearest::Params params;params.defaultK = 5;params.isclassifier = true;Ptr<TrainData> knn;knn = TrainData::create(trainingDataMat, ROW_SAMPLE, labelsMat);Ptr<KNearest> knn1;knn1 = StatModel::train<KNearest>(knn, params);int width = 512, height = 512;Mat image = Mat::zeros(height, width, CV_8UC3);Mat testlabelMat1 = Mat::zeros(1,height*width, CV_8UC3);Vec3b green(0, 255, 0), blue(255, 0, 0);for (int i = 0; i < image.rows; ++i){for (int j = 0; j < image.cols; ++j){const Mat sampleMat = (Mat_<float>(1, 2) << i, j);float r = knn1->predict(sampleMat);if (r != 0){image.at<Vec3b>(j, i) = green;}elseimage.at<Vec3b>(j, i) = blue;}}for (int i = 0; i<5; i++){circle(image, Point(trainingData[i][0], trainingData[i][1]),5, Scalar(0, 0, 0), -1, 8);circle(image, Point(trainingData[i + 5][0], trainingData[i + 5][1]),5, Scalar(255, 255, 255), -1, 8);}imshow("KNN Simple Example", image); waitKey(10000);waitKey(0);

Demo 的结果：

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