#include?
#include?
#include?
#include?
#include?
using?namespace?cv;
using?namespace?std;
int?main（）
{
????double?t;
????t=（double）cvGetTickCount（）;
????const?int?k?=?5;
????cv::Ptr?knn?=?ml::KNearest::create（）;
????knn->setDefaultK（k）;
????knn->setIsClassifier（true）;?????//分類問(wèn)題
????knn->setAlgorithmType（ml::KNearest::BRUTE_FORCE）;???//設(shè)置/獲取KNN算法類型，目前支持兩種：brute_force和KDTree；
????Mat?datalabel;
????string?readName?=?“/home/tianjiazhao/圖片/LED_Number/“;
????for（int?i?=?1;?i?????{
????????string?readName_?=?readName?+?to_string（i）;
????????for（int?j?=?1;?j?<51;?j++）
????????{
????????????Mat?gray;
????????????gray?=?imread（readName_?+“/“+?to_string（j）?+?“.jpg“0）;
????????????threshold（gray?gray?200?255?CV_THRESH_BINARY）;
//????????????imshow（““gray）;
//????????????waitKey（0）;
????????????Mat?tmp;
????????????resize（graytmpSize（88））;
????????????imshow（““tmp）;
????????????data.push_back（tmp.reshape（01））;
????????????label.push_back（i）;
????????}
????}

????data.convertTo（dataCV_32F）;????//char轉(zhuǎn)化為cv_32F

????knn->train（dataml::ROW_SAMPLElabel）;
????knn->save（“LED2.xml“）;
????//predict
????float?train_hr?=?0;
//????Mat?predoct_img?=imread（“/home/tianjiazhao/opencv/RuneDetector/“
//????????????????????????????“build-RunDetector-Desktop_Qt_5_9_0_GCC_64bit-Debug/160.jpg“0）;
//????resize（predoct_imgpredoct_imgSize（1010））;
//????imshow（“preditc“predoct_img）;
//????Mat?sample;
//????sample.push_back（predoct_img.reshape（01））;
//????cout<//????sample.convertTo（sampleCV_32F）;
//????float?r?=?knn->predict（sample）;
//????cout<<“r“<????for（int?i?=?0;?i?????{
????????Mat?sample?=?data.row（i）;
//????????cout<????????float?r?=?knn->predict（sample）;
????????r?=?std::abs（r?-?label.at（i））<=?FLT_EPSILON???1.f?:?0.f;
//????????cout<<“r“<????????train_hr?+=?r;
????}
????train_hr?/=?data.rows;
????cout<//????waitKey（0）;
????t=（double）cvGetTickCount（）-t;
????printf（“used?time?is?%gms\n“（t/（cvGetTickFrequency（）*1000）））;
}