#include <iostream>#include <fstream>#include <string>
#include <vector>
#include<algorithm>
using namespace std;vector<vector<float> >a;  //��ά����洢�������
vector<float>b;inline void file_to_string(vector<string> &record, const string& line, char delimiter);inline float string_to_float(string str);void read()
{vector<string> row;string line;string filename;ifstream in("test5000.csv");  if (in.fail())  { cout << "File not found" <<endl; return ; } while(getline(in, line)  && in.good() ){file_to_string(row, line, ',');  //��line��ĵ�Ԫ�������ַ���ȡ��������,��Ϊ��Ԫ��ָ���for(int i=0, leng=row.size(); i<leng; i++){b.push_back(string_to_float(row[i]));}a.push_back(b);b.clear();}in.close();return ;
}inline void file_to_string(vector<string> &record, const string& line, char delimiter)
{int linepos=0;char c;int linemax=line.length();string curstring;record.clear();while(linepos<linemax){c = line[linepos];if(isdigit(c)||c=='.'){curstring+=c;}else if(c==delimiter&&curstring.size()){record.push_back(curstring);curstring="";}++linepos;}if(curstring.size())record.push_back(curstring);return;
}inline float string_to_float(string str){int i=0,len=str.length();float sum=0;while(i<len){if(str[i]=='.') break;sum=sum*10+str[i]-'0';++i;}++i;float t=1,d=1;while(i<len){d*=0.1;t=str[i]-'0';sum+=t*d;++i;}return sum;
}int main(){read();printf("total numbers of people: %d\n",a.size());vector<float> fea;ofstream outFile("binary.dat", ios::out | ios::binary);for (int i=0; i<a.size(); i++){fea = a[i];outFile.write((char*)&fea[0], 128*sizeof(float));}outFile.close();return 0;
}

//write binary.dat
void img2dat(){struct dirent *ptr, *ptr1;DIR *dir, *dir1;dir = opendir("../lfw_crop/");string file_path, temp;std::vector<Anchor> result_copy;int num = 0,count = 1;ofstream outFile("binary.dat", ios::out | ios::binary);Face face_temp[6000];// printf("lists of files:\n");while((ptr = readdir(dir)) != NULL){if(ptr->d_name[0] == '.')continue;//search subdirectorychar sub_dir[50] = "../lfw_crop/";strcpy(face_temp[num].name, ptr->d_name);strcat(sub_dir, ptr->d_name);file_path = sub_dir;dir1 = opendir(sub_dir);while((ptr1 = readdir(dir1)) != NULL){if(ptr1->d_name[0] == '.')continue;temp = ptr1->d_name;file_path = file_path + "/" + temp;cv::Mat img = imread(file_path);count = 1;cout<<temp<<endl;Mat face = mt(img, result_copy, count);if (count){fea = extract_feature(face);for(int i=0;i<128;i++)face_temp[num].fea[i] = fea[i];outFile.write((char*)&face_temp[num], sizeof(face_temp[num]));cout<<++num<<endl;}//just one imgbreak;}closedir(dir1);}closedir(dir);outFile.close();
}

if(count){clock_t start_2, finish_2;start_2 = clock();vector<float> feature2 = extract_feature(face2);finish_2 = clock();cout << "mobilefacenet cost " << (float)(finish_2 - start_2) / CLOCKS_PER_SEC * 1000 << " ms" << endl;//2019.6.12int i=0, num=0;double curcal, max=0;string forecast_name;//2019.6.17// float fea[128];string name;clock_t start_3, finish_3;start_3 = clock();Face face_temp[6000];while(inFile.read((char *)&face_temp[num], sizeof(face_temp[num]))){curcal = calculSimilar(feature2, face_temp[num].fea);if(curcal > max){max = curcal;forecast_name = face_temp[num].name;} }finish_3 = clock();cout << "search binary.dat cost & calculSimilar:" << (float)(finish_3 - start_3) / CLOCKS_PER_SEC * 1000 << " ms" << endl;cout << "max similarity is: "<< max << endl;cout << "forecast name is: "<< forecast_name <<endl <<endl;}