LFW的正确率,使用方法

关于LFW如何使用，网上资料非常少。这里给出一个比较好的。

这几天鼓捣LFW数据集。模型早跑完了，但是就是不知如何做一个验证。网上关于这个验证的说明非常少。
这里mark一下。
https://github.com/jakezhaojb/LFW_API

现在实验正在进行中。。。以后公布整个实验流程。敬请关注。

上面那个比较麻烦。因此我自己写了一份关于验证lfw的c++代码。

/*************************************************************************
     File Name: test.cpp
     Author: bin.wang
     Mail:   [email protected]
     Created Time: Mon 16 Jan 2017 03:37:30 PM CST
 ************************************************************************/

#include 
#include 
#include 
#include 
#include 
#include 
using namespace std;

#define PAIR_LINES 3000
#define FEA_LENGTH 1024
#define FEA_NUMS   13233

int main(int argc, char** argv)
{
    //read positive pairs & negative pairs form file
    fstream pos_pair("./POSTIVE_PAIR.txt");
    fstream neg_pair("./NEGATIVE_PAIR.txt");
    fstream lfw_feature("./wwwfea.txt");

    vector< pair<int,int> > pos_vec;
    vector< pair<int,int> > neg_vec;

    int pos_left = 0, neg_left = 0;
    int pos_right = 0, neg_right = 0;
    for(int i =0; i> pos_left >> pos_right;
        pos_vec.push_back(make_pair(pos_left,pos_right));

        neg_pair >> neg_left >> neg_right;
        neg_vec.push_back(make_pair(neg_left,neg_right));
    }
    //cout << pos_vec.size() << " "<< (pos_vec[1]).first <<" "<< (pos_vec[1]).second << endl;
    //cout << neg_vec.size() << " "<< (neg_vec[1]).first <<" "<< (neg_vec[1]).second << endl;
    //
    vector< vector<float> > features;
    features.reserve(FEA_NUMS);
    while( !lfw_feature.eof() )
    {
        float keyPoint1 = 0;
        float keyPoint2 = 0;
        float keyPoint3 = 0;
        float keyPoint4 = 0;
        vector<float> _feature;
        _feature.reserve(FEA_LENGTH);
        for(int i = 0; i< FEA_LENGTH; i += 4)
        {
            lfw_feature >> keyPoint1 >> keyPoint2 >> keyPoint3 >> keyPoint4;
            _feature.push_back(keyPoint1);
            _feature.push_back(keyPoint2);
            _feature.push_back(keyPoint3);
            _feature.push_back(keyPoint4);
        }
        //cout << features.size() << endl;
        //cout << _feature.size() << endl;
        features.push_back(_feature);
    }

    //cout << features[0][0] << " "<< features[0][1] <<" " <

    vector< pair<double ,int> > scores;
    int pair_id = 0;
    for(auto pos_it = pos_vec.begin(); pos_it != pos_vec.end(); ++pos_it)
    {
        pair_id++;
        double innerPorduct = 0;
        double sum_left = 0, sum_right = 0;
        double _norm = 0;
        int pair_first = (pos_it->first) - 1;
        int pair_second = (pos_it->second) - 1;
        for(auto lit = features[pair_first].begin(), rit = features[pair_second].begin();
            lit != features[pair_first].end(), rit != features[pair_second].end(); ++lit, ++rit)
        {
            innerPorduct += (*lit)*(*rit);
            sum_left += (*lit) * (*lit);
            sum_right +=(*rit) * (*rit);
        }
        _norm = sqrt(sum_left) * sqrt(sum_right);
        scores.push_back(make_pair(innerPorduct/_norm,pair_id));

    }
    for(auto neg_it = neg_vec.begin(); neg_it != neg_vec.end(); ++neg_it )
    {
        pair_id++;
        double innerPorduct = 0;
        double sum_left = 0, sum_right = 0;
        double _norm = 0;
        int pair_first = (neg_it->first) -1;
        int pair_second = (neg_it->second) -1;
        for(auto lit = features[pair_first].begin(), rit = features[pair_second].begin();
            lit != features[pair_first].end(), rit != features[pair_second].end(); ++lit, ++rit)
        {
            innerPorduct += (*lit)*(*rit);
            sum_left += (*lit) * (*lit);
            sum_right +=(*rit) * (*rit);
        }
        _norm = sqrt(sum_left) * sqrt(sum_right);
        scores.push_back(make_pair(innerPorduct/_norm , pair_id));

    }

    stable_sort(scores.begin(),scores.end());
    fstream hh("./scores.txt");
    for(auto s : scores)
    {
        hh << s.first << " " << s.second << endl;
    }
    int index = 0; 
    for(int i = 0; i <3000; ++i)
    {
        if(scores[i].second < 3000)
        {
            ++index;
            cout << scores[i].first << " " << scores[i].second << endl;
        }

    }

//cout << scores[1].first <<" "<< scores[1].second << endl;
//cout << scores.size()<< endl;
//cout <
    return 0;
}

最近有网友提出wwwfea.txt 是什么文件（实际是特征文件。每行存储了对应图像的特征）。这里贴出来这个文件的额前两行（原文件太大）。

-1.0465623e+00  -4.6556020e-01   3.3585656e-01   3.1829092e-01   1.2288908e+00  -6.6657913e-01  -1.2384999e+00   1.0534556e+00  -3.8080302e-01   5.2846521e-03   6.8452710e-01  -1.3280253e+00   1.0632418e+00  -4.2944551e-03   2.0589048e-01  -1.3041927e+00  -1.3573738e+00   2.2553307e-01  -2.5422877e-01   7.4031520e-01   3.6197406e-01   4.7670907e-01   7.5485712e-01   4.3376541e-01  -1.7495319e+00   2.2463455e+00   1.2119024e+00  -1.3871136e+00   1.4621866e+00   7.9948884e-01   2.8155735e-01   1.7261643e+00   1.5352176e+00  -4.3904927e-01  -1.5975428e-01  -1.3983275e+00  -8.7041682e-01  -3.0585149e-01  -6.3522673e-01  -6.6560483e-01  -4.3734476e-02  -4.7099143e-01   1.4528128e+00  -1.2678103e-01   1.1612657e+00  -1.1752806e+00   5.7222843e-01  -2.8838017e+00   7.1869159e-01  -9.5640248e-01   1.4656827e+00  -1.4176008e+00   1.2038828e+00  -1.2037728e+00   9.0124619e-01   8.6095303e-01  -1.5534316e+00   1.3963343e+00   1.5028278e+00  -1.3439877e+00   4.7262114e-01  -2.9242367e-01   9.4158299e-02   3.1268281e-01  -3.3527893e-01  -2.3189467e-01  -8.6635187e-02  -9.4519418e-01   3.0004615e-01   6.6227657e-01   1.1174486e+00   1.4232219e+00   9.0895665e-01  -4.2979920e-01   6.7405897e-01   9.4557434e-01   4.4496447e-01  -3.2262790e-01   1.6176401e-01  -1.0682863e+00  -1.3860517e+00  -1.2663667e-01  -5.3305209e-01   1.9434099e-01   1.0743294e+00   2.7721077e-01  -2.5070605e+00  -1.0302554e+00  -2.4777241e-01   1.6756770e-01   3.8417286e-01   4.5402288e-01  -9.8347962e-03  -3.5150185e-01  -2.4200830e+00   5.0339319e-02   7.2571582e-01  -2.4534231e-01   4.1419417e-01   9.0393382e-01  -2.4972079e+00   2.3460088e+00   1.5854015e+00   3.2964423e-01   8.4570602e-02   5.7523191e-01   2.7659482e-01  -5.0585794e-01  -9.4408679e-01  -1.4791621e+00   1.4571413e-02  -1.0548680e+00   1.0344532e+00  -4.1577250e-01  -8.3945799e-01  -1.4562879e+00  -1.0470387e+00  -4.8127633e-01  -1.3844901e+00  -1.2650084e+00   6.6912228e-01   1.9701123e-01  -8.0773407e-01  -4.1951808e-01  -3.2899375e+00   7.5763083e-01  -1.2580230e+00   8.3955067e-01  -4.7698137e-01  -6.4345956e-01  -1.2003107e-01  -6.6468757e-01   2.9429981e-01   7.0669478e-01   7.4189144e-01   3.2797897e-01  -7.4487007e-01  -1.2095715e+00  -5.1753896e-01  -1.0053585e+00   9.6482992e-01   5.4248518e-01   1.3649615e+00   9.1227818e-01  -1.7700428e-01  -1.5934551e+00  -1.8597299e+00   9.2632043e-01   2.1894209e+00   1.2925067e+00  -2.4565597e-01   6.8299130e-02  -4.8519140e-01   2.3995080e+00   1.1726457e+00   1.7333713e+00   1.1544107e-01   2.7891943e-01   3.6596477e-02   2.6347095e-01   1.3903859e+00   5.4011279e-01   1.4421208e+00  -6.1495125e-01  -8.0210650e-01  -9.5946610e-02   3.7763304e-01   9.4719040e-01  -4.6742848e-01  -5.0916165e-02  -8.7888253e-01   1.1499438e+00   6.0911101e-01  -1.4333259e+00   1.1409199e+00  -5.9933609e-01  -4.5235112e-02   7.1914643e-03  -1.6873858e+00  -1.7239376e+00  -1.4726123e+00  -7.8538388e-01   6.2168902e-01   4.2230645e-01  -3.0335283e-01   1.0021251e-01  -5.7805628e-01   1.5091033e+00   5.1642072e-01  -1.1671513e-01   8.0283898e-01   1.5919821e+00   2.7146442e+00   7.2517639e-01   7.6158357e-01  -8.9172202e-01  -1.2405711e+00  -6.0360056e-01  -7.4870139e-02   1.3615787e+00  -1.0472281e+00  -8.7818122e-01  -5.8286214e-01   1.3780195e+00   1.3031136e+00  -1.5397485e+00   1.7934492e+00   6.8951142e-01   3.1937507e-01  -1.2088783e+00  -1.6614563e+00   1.6454867e+00  -6.2156957e-01   5.6640238e-01   2.3589557e-01   8.8541396e-02   6.0046345e-01   5.1582897e-01   5.7514215e-01   7.8798693e-01  -3.8205229e-02   1.4416736e+00   1.2020202e+00   1.1899046e+00  -6.7084676e-01  -9.9646890e-01  -5.0928645e-02  -1.8781593e-01  -5.2911222e-01   6.1549529e-02  -5.5889630e-01   6.6668808e-02  -7.6360369e-01   1.0648063e-01   1.0454649e-01  -2.0947416e+00  -8.0812937e-01  -1.6814423e+00  -1.8616202e+00  -8.6429250e-01   2.8936033e+00  -1.6958843e+00  -1.7851288e+00  -1.2752143e+00  -2.0651227e-01   7.8809518e-01  -7.6992512e-02   1.9883856e-01   1.7546668e+00  -5.0129265e-01   1.4850053e+00   4.3290254e-01   4.3317714e-01  -1.6556354e+00  -1.3097322e+00   1.5002432e+00   1.3400681e+00  -8.7141156e-01   1.2663240e+00   8.0869126e-01   1.1909106e+00  -1.6150967e+00   1.7383196e+00   2.4738343e+00   9.1582441e-01  -3.3833280e+00  -2.8158253e-01   7.8173220e-01  -2.5601104e-02  -7.4696696e-01  -2.0671484e+00  -1.7570033e+00   1.7990088e-01   1.1496770e+00   8.6259854e-01   2.6841295e-01  -9.2674237e-01  -1.4051645e+00  -1.7825638e+00   3.0532208e-01   2.1427536e-01   2.3082693e+00  -9.7088444e-01  -8.0676138e-01   1.5546669e+00  -1.2893230e-04   2.3644943e+00  -6.1903909e-02  -3.4351861e-01   1.2730458e+00  -3.0509177e-01  -4.4320557e-01   2.1700457e-01   1.9299556e-01   4.5969754e-01   9.9683034e-01   8.8621438e-01  -3.4121206e-01   2.0746827e+00   1.4972016e+00   2.0731677e-01  -7.7285099e-01   5.8716238e-01   6.0196769e-01  -1.4858668e+00   4.2367512e-01  -2.3764188e+00  -1.2181707e-01  -2.1074423e-01   4.2532098e-01  -5.8494842e-01  -1.0846540e+00  -1.5076630e-01  -9.2920583e-01  -8.4341574e-01  -1.1117566e+00  -6.6988707e-02   1.7238940e+00  -1.3551941e+00  -4.7528678e-01   1.9768583e+00  -7.3163754e-01   3.1998232e-01  -2.3929900e-01   1.0358112e+00   1.6494609e+00  -6.2669262e-02  -8.8901311e-01   1.9464332e-01   1.4452808e+00  -2.9258782e-01   1.3886716e+00  -1.2631724e+00  -6.0195899e-01   1.8807314e-01   1.0834203e+00  -1.0067718e+00   1.3683561e+00   7.0321792e-01  -1.6205896e-01   1.0259345e+00  -7.8179818e-01   1.7961501e+00  -1.3778293e+00  -5.1116443e-01   1.4245121e+00   1.0490661e+00   1.3059632e+00  -1.7465130e+00  -1.0108653e+00   2.9017317e+00   2.5920215e-01  -2.0884299e+00  -6.2843132e-01   3.2730907e-01  -1.5046046e+00   4.8487520e-01   4.6946979e-01   8.0196333e-01  -2.5102731e-02  -3.3231947e-01   4.7171584e-01  -1.2487254e+00  -1.2102607e+00  -6.9245243e-01   6.5381020e-02   1.8673402e+00   2.4458998e-01  -8.5905910e-01   1.2501330e+00   9.8739338e-01   1.3222340e+00   6.1608832e-02   1.8399164e-02  -3.8483602e-01  -3.2300925e-01   4.6820381e-01   2.8223190e-01   8.0826545e-01   1.8312414e+00  -1.2968411e-01   1.0546463e+00  -3.1463122e-01  -3.6592329e-01  -1.8120560e-01   3.0922207e-01   8.2364559e-01  -4.3327284e-01   2.1950376e-01  -5.1163487e-02   9.0875983e-01   1.0484539e+00   9.2797172e-01   4.1215682e-01  -1.6651022e+00   2.9659265e-01   5.8338505e-01   1.3357012e+00   1.3905245e+00   9.0221480e-02  -1.0879290e+00   8.7222517e-01  -6.4312482e-01  -5.9615213e-01   2.1122706e+00  -3.6349726e-01  -5.9227502e-01   2.9652235e-01  -1.3236380e+00  -5.1581752e-01  -1.3565546e+00  -2.1283329e-01   2.0104103e+00  -7.4768621e-01   5.0681001e-01   1.1674227e+00   5.6040043e-01  -5.4323834e-01  -2.5836311e-02   6.4809573e-01  -8.6599350e-01  -3.7030768e-01   8.4341049e-01   2.6335174e-01  -6.9840394e-02  -7.7405322e-01  -3.5837895e-01  -1.2329888e+00   8.5917197e-02  -4.7553621e-02  -1.7219379e+00  -6.8324757e-01  -1.5428601e-01   1.6809970e+00  -2.3445261e+00  -1.8311588e+00  -6.4795905e-01  -9.8614264e-01  -5.2552652e-01   7.7843112e-01   5.4992664e-01   4.8913425e-01  -2.0503193e-02   3.1435055e-01   1.4943666e+00   9.0238357e-01   1.7987735e+00   8.7385368e-01  -8.4571481e-01  -1.6221828e+00  -8.5024041e-01   9.5204419e-01  -5.6000280e-01  -6.4551193e-01   2.8636348e+00  -2.9700361e-02   9.2016184e-01   8.4665436e-01  -2.2452383e-01   3.7390280e-01  -2.8123423e-02   3.4448966e-01  -5.1190424e-01   2.4071109e+00   8.0856764e-01  -1.1650890e+00   1.6461462e-01  -1.8452284e+00   5.6223357e-01  -3.1021683e+00  -8.9173490e-01  -1.1670697e+00   5.1540542e-01   1.0083694e+00   8.3019215e-01  -1.9891723e+00   1.0421262e+00  -2.3187971e+00  -3.6002582e-01   1.4457457e+00   2.2563334e-01   3.5052642e-01  -6.1228508e-01  -1.1416997e-01   2.3772240e-02  -5.9950399e-01   1.1936980e-01   1.0977074e+00   2.3149676e+00  -1.1745750e+00   3.7612349e-02   2.7842534e-01   2.1838424e+00   1.3304816e+00   7.5676531e-01  -3.7021324e-02   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//
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