or_imagenet.cpp 5.25 KB
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
//                           License Agreement
//                For Open Source Computer Vision Library
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// Copyright (C) 2014, Itseez Inc, all rights reserved.
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#include "opencv2/datasets/or_imagenet.hpp"
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#include "opencv2/datasets/util.hpp"
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#include <map>

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namespace cv
{
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namespace datasets
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{

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using namespace std;

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class OR_imagenetImp CV_FINAL : public OR_imagenet
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{
public:
    OR_imagenetImp() {}
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    //OR_imagenetImp(const string &path);
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    virtual ~OR_imagenetImp() CV_OVERRIDE {}
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    virtual void load(const string &path) CV_OVERRIDE;
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private:
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    void loadDataset(const string &path);
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    void numberToString(int number, string &out);
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};

/*OR_imagenetImp::OR_imagenetImp(const string &path)
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{
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    loadDataset(path);
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}*/
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void OR_imagenetImp::load(const string &path)
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{
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    loadDataset(path);
}

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void OR_imagenetImp::numberToString(int number, string &out)
{
    char numberStr[9];
    sprintf(numberStr, "%u", number);
    for (unsigned int i=0; i<8-strlen(numberStr); ++i)
    {
        out += "0";
    }
    out += numberStr;
}

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void OR_imagenetImp::loadDataset(const string &path)
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{
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    train.push_back(vector< Ptr<Object> >());
    test.push_back(vector< Ptr<Object> >());
    validation.push_back(vector< Ptr<Object> >());

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    map<string, int> labels;
    ifstream infile((path + "labels.txt").c_str());
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    string line;
    while (getline(infile, line))
    {
        vector<string> elems;
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        split(line, elems, ',');
        string syn = elems[0];
        int number = atoi(elems[1].c_str());

        labels.insert(make_pair(syn, number));
    }
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    string pathTrain(path + "train/");
    vector<string> fileNames;
    getDirList(pathTrain, fileNames);
    for (vector<string>::iterator it=fileNames.begin(); it!=fileNames.end(); ++it)
    {
        string pathSyn((*it) + "/");
        vector<string> fileNamesSyn;
        getDirList((pathTrain + pathSyn), fileNamesSyn);
        for (vector<string>::iterator itSyn=fileNamesSyn.begin(); itSyn!=fileNamesSyn.end(); ++itSyn)
        {
            Ptr<OR_imagenetObj> curr(new OR_imagenetObj);
            curr->image = "train/" + pathSyn + *itSyn;
            curr->id = labels[*it];

            train.back().push_back(curr);
        }
    }

    ifstream infileVal((path + "ILSVRC2010_validation_ground_truth.txt").c_str());
    while (getline(infileVal, line))
    {
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        Ptr<OR_imagenetObj> curr(new OR_imagenetObj);
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        curr->id = atoi(line.c_str());
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        numberToString((int)validation.back().size()+1, curr->image);
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        curr->image = "val/ILSVRC2010_val_" + curr->image + ".JPEG";
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        validation.back().push_back(curr);
    }

    vector<int> testGT;
    ifstream infileTest((path + "ILSVRC2010_test_ground_truth.txt").c_str());
    while (getline(infileTest, line))
    {
        testGT.push_back(atoi(line.c_str()));
    }
    if (testGT.size()==0) // have no test labels, set them to 1000 - unknown
    {
        for (int i=0; i<150000; ++i)
        {
            testGT.push_back(1000); // unknown
        }
    }
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    for (vector<int>::iterator it=testGT.begin(); it!=testGT.end(); ++it)
    {
        Ptr<OR_imagenetObj> curr(new OR_imagenetObj);
        curr->id = *it;
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        numberToString((int)test.back().size()+1, curr->image);
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        curr->image = "test/ILSVRC2010_test_" + curr->image + ".JPEG";
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        test.back().push_back(curr);
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    }
}
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Ptr<OR_imagenet> OR_imagenet::create()
{
    return Ptr<OR_imagenetImp>(new OR_imagenetImp);
}

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}
}