PCA人脸识别

2019-04-15 15:04发布

站内文章 / PIC单片机
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  在工作目录下建立/pic文件夹放入测试图片，建立/positive文件夹，放入自己的训练数据（我使用的是自己的相片中截获好的头像）建立list.txt，在里面写入pic/文件名以回车隔开，即可。 #define CV_NO_BACKWARD_COMPATIBILITY #include "cv.h"
#include "highgui.h" #include
#include
#include
#ifdef _EiC
#define WIN32
#endif using namespace std;
using namespace cv; void detectAndDraw( Mat& img,
                   CascadeClassifier& cascade, CascadeClassifier& nestedCascade,
                   double scale,int picid); int compressPCA(const Mat& pcaset, int maxComponents,
const Mat& testset, Mat& compressed); String cascadeName ="haarcascade_frontalface_alt.xml";
String nestedCascadeName ="haarcascade_eye_tree_eyeglasses.xml"; int WINDOWID=1; int main( int argc, const char** argv )
{
    Mat frame, frameCopy, image;
    const String scaleOpt = "--scale=";
    size_t scaleOptLen = scaleOpt.length();
    const String cascadeOpt = "--cascade=";
    size_t cascadeOptLen = cascadeOpt.length();
    const String nestedCascadeOpt = "--nested-cascade";
    size_t nestedCascadeOptLen = nestedCascadeOpt.length();
    String inputName;     CascadeClassifier cascade, nestedCascade;
    double scale = 1;     for( int i = 1; i < argc; i++ )
    {
        if( cascadeOpt.compare( 0, cascadeOptLen, argv[i], cascadeOptLen ) == 0 )
            cascadeName.assign( argv[i] + cascadeOptLen );
        else if( nestedCascadeOpt.compare( 0, nestedCascadeOptLen, argv[i], nestedCascadeOptLen ) == 0 )
        {
            if( argv[i][nestedCascadeOpt.length()] == '=' )
                nestedCascadeName.assign( argv[i] + nestedCascadeOpt.length() + 1 );
            if( !nestedCascade.load( nestedCascadeName ) )
                cerr << "WARNING: Could not load classifier cascade for nested objects" << endl;
        }
        else if( scaleOpt.compare( 0, scaleOptLen, argv[i], scaleOptLen ) == 0 )
        {
            if( !sscanf( argv[i] + scaleOpt.length(), "%lf", &scale ) || scale < 1 )
                scale = 1;
        }
        else if( argv[i][0] == '-' )
        {
            cerr << "WARNING: Unknown option %s" << argv[i] << endl;
        }
        else
            inputName.assign( argv[i] );
    }     if( !cascade.load( cascadeName ) )
    {
        cerr << "ERROR: Could not load classifier cascade" << endl;
        cerr << "Usage: facedetect [--cascade=""] "
            "   [--nested-cascade[="nested_cascade_path"]] "
            "   [--scale[= "
            "   [filename|camera_index] " ;
        return -1;
    }
    image = imread( inputName, 1 );     if( !image.empty() )
    {
        detectAndDraw( image, cascade, nestedCascade, scale,0 );
        waitKey(0);
    }
    else if( !inputName.empty() )
    {
        FILE* f = fopen( inputName.c_str(), "rt" );
        if( f )
        {
            char buf[1000+1];
    int picid=1;
    printf("################################################################ ");
    printf(" ");
            while( fgets( buf, 1000, f ) )
            {

                int len = (int)strlen(buf), c;
                while( len > 0 && isspace(buf[len-1]) )
                len--;
                buf[len] = '

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