Repository for OpenCV's extra modules
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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// If you do not agree to this license, do not download, install,
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//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2014, Itseez Inc, all rights reserved.
// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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#include "opencv2/datasets/or_mnist.hpp"
#include "opencv2/datasets/util.hpp"
namespace cv
{
namespace datasets
{
using namespace std;
class OR_mnistImp : public OR_mnist
{
public:
OR_mnistImp() {}
//OR_mnistImp(const string &path);
virtual ~OR_mnistImp() {}
virtual void load(const string &path);
private:
void loadDataset(const string &path);
void loadDatasetPart(const string &imagesFile, const string &labelsFile, unsigned int num, vector< Ptr<Object> > &dataset_);
};
/*OR_mnistImp::OR_mnistImp(const string &path)
{
loadDataset(path);
}*/
void OR_mnistImp::load(const string &path)
{
loadDataset(path);
}
void OR_mnistImp::loadDatasetPart(const string &imagesFile, const string &labelsFile, unsigned int num, vector< Ptr<Object> > &dataset_)
{
FILE *f = fopen(imagesFile.c_str(), "rb");
fseek(f, 16, SEEK_CUR);
unsigned int imageSize = 28*28;
char *images = new char[num*imageSize];
size_t res = fread(images, 1, num*imageSize, f);
fclose(f);
if (num*imageSize != res)
{
delete[] images;
return;
}
f = fopen(labelsFile.c_str(), "rb");
fseek(f, 8, SEEK_CUR);
char *labels = new char[num];
res = fread(labels, 1, num, f);
fclose(f);
if (num != res)
{
delete[] images;
delete[] labels;
return;
}
for (unsigned int i=0; i<num; ++i)
{
Ptr<OR_mnistObj> curr(new OR_mnistObj);
curr->label = labels[i];
curr->image = Mat(28, 28, CV_8U);
unsigned int imageIdx = i*imageSize;
for (int j=0; j<curr->image.rows; ++j)
{
char *im = curr->image.ptr<char>(j);
for (int k=0; k<curr->image.cols; ++k)
{
im[k] = images[imageIdx + j*28 + k];
}
}
dataset_.push_back(curr);
}
delete[] images;
delete[] labels;
}
void OR_mnistImp::loadDataset(const string &path)
{
train.push_back(vector< Ptr<Object> >());
test.push_back(vector< Ptr<Object> >());
validation.push_back(vector< Ptr<Object> >());
string trainImagesFile(path + "train-images.idx3-ubyte");
string trainLabelsFile(path + "train-labels.idx1-ubyte");
loadDatasetPart(trainImagesFile, trainLabelsFile, 60000, train.back());
string testImagesFile(path + "t10k-images.idx3-ubyte");
string testLabelsFile(path + "t10k-labels.idx1-ubyte");
loadDatasetPart(testImagesFile, testLabelsFile, 10000, test.back());
}
Ptr<OR_mnist> OR_mnist::create()
{
return Ptr<OR_mnistImp>(new OR_mnistImp);
}
}
}