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added MNIST dataset loader

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dmitriy.anisimov 11 years ago
parent 9ee9f182d6
commit ee12bc12f2
4 changed files with 321 additions and 2 deletions
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  1. 18
      modules/datasetstools/doc/datasetstools.rst
  2. 74
      modules/datasetstools/include/opencv2/datasetstools/or_mnist.hpp
  3. 89
      modules/datasetstools/samples/or_mnist.cpp
  4. 142
      modules/datasetstools/src/or_mnist.cpp

18
modules/datasetstools/doc/datasetstools.rst
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@ -6,8 +6,6 @@ datasetstools. Tools for working with different datasets.
The datasetstools module includes classes for working with different datasets.
First version of this module was implemented for **Fall2014 OpenCV Challenge**.
Action Recognition
------------------
@ -241,6 +239,22 @@ Currently implemented loading full list with urls. Planned to implement dataset
3. To load data run: ./opencv/build/bin/example_datasetstools_or_imagenet -p=/home/user/path_to_unpacked_file/
OR_mnist
===========
.. ocv:class:: OR_mnist
Implements loading dataset:
_`"MNIST"`: http://yann.lecun.com/exdb/mnist/
.. note:: Usage
1. From link above download dataset files: t10k-images-idx3-ubyte.gz, t10k-labels-idx1-ubyte.gz, train-images-idx3-ubyte.gz, train-labels-idx1-ubyte.gz.
2. Unpack them.
3. To load data run: ./opencv/build/bin/example_datasetstools_or_mnist -p=/home/user/path_to_unpacked_files/
OR_sun
======
.. ocv:class:: OR_sun

74
modules/datasetstools/include/opencv2/datasetstools/or_mnist.hpp
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@ -0,0 +1,74 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// 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.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Itseez Inc or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef OPENCV_DATASETSTOOLS_OR_MNIST_HPP
#define OPENCV_DATASETSTOOLS_OR_MNIST_HPP
#include <string>
#include <vector>
#include "opencv2/datasetstools/dataset.hpp"
#include <opencv2/core.hpp>
namespace cv
{
namespace datasetstools
{
struct OR_mnistObj : public Object
{
char label; // 0..9
Mat image; // [28][28]
};
class CV_EXPORTS OR_mnist : public Dataset
{
public:
virtual void load(const std::string &path) = 0;
static Ptr<OR_mnist> create();
};
}
}
#endif

89
modules/datasetstools/samples/or_mnist.cpp
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@ -0,0 +1,89 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// 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.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Itseez Inc or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "opencv2/datasetstools/or_mnist.hpp"
#include <opencv2/core.hpp>
#include <opencv2/imgcodecs.hpp>
#include <cstdio>
#include <string>
#include <vector>
using namespace std;
using namespace cv;
using namespace cv::datasetstools;
int main(int argc, char *argv[])
{
const char *keys =
"{ help h usage ? | | show this message }"
"{ path p |true| path to dataset (SUN397 folder) }";
CommandLineParser parser(argc, argv, keys);
string path(parser.get<string>("path"));
if (parser.has("help") || path=="true")
{
parser.printMessage();
return -1;
}
Ptr<OR_mnist> dataset = OR_mnist::create();
dataset->load(path);
// ***************
// dataset contains for each object its image and label.
// For example, let output train & test sizes and their first elements.
printf("train size: %u\n", (unsigned int)dataset->getTrain().size());
printf("test size: %u\n", (unsigned int)dataset->getTest().size());
OR_mnistObj *example = static_cast<OR_mnistObj *>(dataset->getTrain()[0].get());
printf("first train:\nlabel: %u\n", example->label);
printf("image was saved to train0.png\n");
imwrite("train0.png", example->image);
example = static_cast<OR_mnistObj *>(dataset->getTest()[0].get());
printf("first test:\nlabel: %u\n", example->label);
printf("image was saved to test0.png\n");
imwrite("test0.png", example->image);
return 0;
}

142
modules/datasetstools/src/or_mnist.cpp
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@ -0,0 +1,142 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// 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.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Itseez Inc or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "opencv2/datasetstools/or_mnist.hpp"
#include "precomp.hpp"
namespace cv
{
namespace datasetstools
{
using namespace std;
class CV_EXPORTS 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)
{
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)
{
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);
}
}
}
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