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Adds interface for the ICDAR2015 dataset (end-to-end text recognition task)

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Lluis Gomez-Bigorda
2015-08-06 10:54:58 +02:00
parent 6e4d6bca75
commit 306aed4078
3 changed files with 364 additions and 0 deletions
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87
modules/datasets/include/opencv2/datasets/tr_icdar.hpp Normal file
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/*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_DATASETS_TR_ICDAR_HPP
#define OPENCV_DATASETS_TR_ICDAR_HPP
#include <string>
#include <vector>
#include "opencv2/datasets/dataset.hpp"
#include <opencv2/core.hpp>
namespace cv
{
namespace datasets
{
//! @addtogroup datasets_tr
//! @{
struct word
{
std::string value;
int height, width, x, y;
};
struct TR_icdarObj : public Object
{
std::string fileName;
std::vector<std::string> lex100;
std::vector<std::string> lexFull;
std::vector<word> words;
};
class CV_EXPORTS TR_icdar : public Dataset
{
public:
virtual void load(const std::string &path) = 0;
static Ptr<TR_icdar> create();
};
//! @}
}
}
#endif

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modules/datasets/samples/tr_icdar.cpp Normal file
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/*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/datasets/tr_icdar.hpp"
#include <opencv2/core.hpp>
#include <cstdio>
#include <cstdlib> // atoi
#include <string>
#include <vector>
using namespace std;
using namespace cv;
using namespace cv::datasets;
int main(int argc, char *argv[])
{
const char *keys =
"{ help h usage ? | | show this message }"
"{ path p |true| path to dataset root folder }";
CommandLineParser parser(argc, argv, keys);
string path(parser.get<string>("path"));
if (parser.has("help") || path=="true")
{
parser.printMessage();
return -1;
}
// loading train & test images description
Ptr<TR_icdar> dataset = TR_icdar::create();
dataset->load(path);
// ***************
// dataset. train & test contains images description.
// For example, let output the last element in train set and it's description.
// And their sizes.
printf("train size: %u\n", (unsigned int)dataset->getTrain().size());
printf("test size: %u\n", (unsigned int)dataset->getTest().size());
TR_icdarObj *example = static_cast<TR_icdarObj *>(dataset->getTrain().back().get());
printf("last element:\nfile name: %s", example->fileName.c_str());
printf("\nlex100: ");
for (vector<string>::iterator it=example->lex100.begin(); it!=example->lex100.end(); ++it)
{
printf("%s,", (*it).c_str());
}
printf("\nlexFULL: ");
for (vector<string>::iterator it=example->lexFull.begin(); it!=example->lexFull.end(); ++it)
{
printf("%s,", (*it).c_str());
}
printf("\nwords:\n");
for (vector<word>::iterator it=example->words.begin(); it!=example->words.end(); ++it)
{
word &t = (*it);
printf("%s\nheight: %u, width: %u, x: %u, y: %u\n",
t.value.c_str(), t.height, t.width, t.x, t.y);
}
return 0;
}

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modules/datasets/src/tr_icdar.cpp Normal file
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/*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/datasets/tr_icdar.hpp"
#include "opencv2/datasets/util.hpp"
#include <sstream>
#include <fstream>
namespace cv
{
namespace datasets
{
using namespace std;
class TR_icdarImp : public TR_icdar
{
public:
TR_icdarImp() {}
//TR_icdarImp(const string &path);
virtual ~TR_icdarImp() {}
virtual void load(const string &path);
private:
void loadDataset(const string &path);
void objParseFiles(const string &path, int img_id, vector<Ptr <Object> > &out);
};
void TR_icdarImp::objParseFiles(const string &path, int img_id, vector<Ptr <Object> > &out)
{
Ptr<TR_icdarObj> curr(new TR_icdarObj);
stringstream fileName;
fileName << "img_" << img_id << ".jpg";
curr->fileName = fileName.str();
stringstream gtFileName;
gtFileName << path << "/gt_img_" << img_id << ".txt";
ifstream infile(gtFileName.str().c_str());
if (!infile.is_open()) CV_Error(Error::StsBadArg, gtFileName.str().c_str());
string line;
while (getline(infile, line))
{
//Ignore EOL characters
line.erase(remove(line.begin(), line.end(), '\n'), line.end());
line.erase(remove(line.begin(), line.end(), '\r'), line.end());
//Ignore byte-order marks (BOM first utf character in W$ files)
if ( (line[0] == (char)0xEF) && (line[1] == (char)0xBB) && (line[2] == (char)0xBF) )
line.erase (line.begin(),line.begin()+3);
vector<string> fields;
split(line, fields, ',');
word w;
w.value = fields[8];
w.x = atoi(fields[0].c_str());
w.y = atoi(fields[1].c_str());
w.width = atoi(fields[2].c_str()) - atoi(fields[0].c_str());
w.height = atoi(fields[7].c_str()) - atoi(fields[1].c_str());
curr->words.push_back(w);
}
infile.close();
stringstream lex100FileName;
lex100FileName << path << "/voc_img_" << img_id << ".txt";
infile.open(lex100FileName.str().c_str());
if (!infile.is_open()) CV_Error(Error::StsBadArg, lex100FileName.str().c_str());
while (getline(infile, line))
{
//Ignore EOL characters
line.erase(remove(line.begin(), line.end(), '\n'), line.end());
line.erase(remove(line.begin(), line.end(), '\r'), line.end());
//Ignore byte-order marks (BOM first utf character in W$ files)
if ( (line[0] == (char)0xEF) && (line[1] == (char)0xBB) && (line[2] == (char)0xBF) )
line.erase (line.begin(),line.begin()+3);
curr->lex100.push_back(line);
}
infile.close();
stringstream lexFullFileName;
if (path.substr(path.size()-5,4) == string("test"))
lexFullFileName << path << "ch2_test_vocabulary.txt";
else
lexFullFileName << path << "ch2_training_vocabulary.txt";
infile.open(lexFullFileName.str().c_str());
if (!infile.is_open()) CV_Error(Error::StsBadArg, lexFullFileName.str().c_str());
while (getline(infile, line))
{
//Ignore EOL characters
line.erase(remove(line.begin(), line.end(), '\n'), line.end());
line.erase(remove(line.begin(), line.end(), '\r'), line.end());
//Ignore byte-order marks (BOM first utf character in W$ files)
if ( (line[0] == (char)0xEF) && (line[1] == (char)0xBB) && (line[2] == (char)0xBF) )
line.erase (line.begin(),line.begin()+3);
curr->lexFull.push_back(line);
}
infile.close();
out.push_back(curr);
}
/*TR_icdarImp::TR_icdarImp(const string &path)
{
loadDataset(path);
}*/
void TR_icdarImp::load(const string &path)
{
loadDataset(path);
}
void TR_icdarImp::loadDataset(const string &path)
{
train.push_back(vector< Ptr<Object> >());
test.push_back(vector< Ptr<Object> >());
validation.push_back(vector< Ptr<Object> >());
string train_path(path + "/train/");
string test_path (path + "/test/");
// loading 229 train images descriptions
for (int i=1; i<230; i++)
objParseFiles(train_path, i, train.back());
// loading 233 test images descriptions
for (int i=1; i<234; i++)
objParseFiles(test_path, i, test.back());
}
Ptr<TR_icdar> TR_icdar::create()
{
return Ptr<TR_icdarImp>(new TR_icdarImp);
}
}
}