is_weizmann.cpp 3.5 KB
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/*M///////////////////////////////////////////////////////////////////////////////////////
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#include "opencv2/datasets/is_weizmann.hpp"
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#include "opencv2/datasets/util.hpp"
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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 IS_weizmannImp CV_FINAL : public IS_weizmann
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{
public:
    IS_weizmannImp() {}
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    //IS_weizmannImp(const string &path);
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    virtual ~IS_weizmannImp() {}

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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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};

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

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void IS_weizmannImp::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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    vector<string> fileNames;
    getDirList(path, fileNames);
    for (vector<string>::iterator it=fileNames.begin(); it!=fileNames.end(); ++it)
    {
        string &imageName = *it;
        if (imageName.find('.') == string::npos) // only folders, discard .mat
        {
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            Ptr<IS_weizmannObj> curr(new IS_weizmannObj);
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            curr->imageName = imageName;
            curr->srcBw = imageName + "/src_bw/" + imageName + ".png";
            curr->srcColor = imageName + "/src_color/" + imageName + ".png";
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            curr->humanSeg = imageName + "human_seg/";
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            train.back().push_back(curr);
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        }
    }
}
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Ptr<IS_weizmann> IS_weizmann::create()
{
    return Ptr<IS_weizmannImp>(new IS_weizmannImp);
}

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}
}