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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) 2015, 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/pd_inria.hpp"
#include "opencv2/datasets/util.hpp"
namespace cv
{
namespace datasets
{
using namespace std;
class PD_inriaImp : public PD_inria
{
public:
PD_inriaImp() {}
virtual ~PD_inriaImp() {}
virtual void load(const string &path);
private:
void loadDataset(const string &path, const string nameImageSet, vector< Ptr<Object> > &imageSet);
void readTextLines(const string filename, vector< string > &lines);
void parseAnnotation(const string filename, Ptr< PD_inriaObj > &object);
};
void PD_inriaImp::load(const string &path)
{
// Training set
train.push_back(vector< Ptr<Object> >());
loadDataset(path, "Train", train.back());
// Testing set
test.push_back(vector< Ptr<Object> >());
loadDataset(path, "Test", test.back());
// There is no validation set
validation.push_back(vector< Ptr<Object> >());
}
void PD_inriaImp::readTextLines(const string filename, vector< string > &lines)
{
ifstream in(filename.c_str());
string error_message = "";
if (!in.is_open())
{
error_message = format("Unable to open file: \n%s\n", filename.c_str());
CV_Error(Error::StsBadArg, error_message);
}
string currline = "";
while (getline(in, currline))
lines.push_back(currline);
}
void PD_inriaImp::parseAnnotation(const string filename, Ptr< PD_inriaObj > &object)
{
string error_message = "";
ifstream in(filename.c_str());
if (!in.is_open())
{
error_message = format("Unable to open file: \n%s\n", filename.c_str());
CV_Error(Error::StsBadArg, error_message);
}
string imageSizeHeader = "Image size (X x Y x C) : ";
string imageSizeFmt = imageSizeHeader + "%d x %d x %d";
string objWithGTHeader = "Objects with ground truth : ";
string objWithGTFmt = objWithGTHeader + "%d { \"PASperson\" }";
string boundBoxHeader = "Bounding box for object ";
string boundBoxFmt = boundBoxHeader + "%*d \"PASperson\" (Xmin, Ymin) - (Xmax, Ymax) : (%d, %d) - (%d, %d)";
string line = "";
int width = 0;
int height = 0;
int depth = 0;
int xmin, ymin, xmax, ymax;
int numObjects = 0;
while (getline(in, line))
{
if (line[0] == '#' || !line[0])
continue;
if (strstr(line.c_str(), imageSizeHeader.c_str()))
{
sscanf(line.c_str(), imageSizeFmt.c_str(), &width, &height, &depth);
object->width = width;
object->height = height;
object->depth = depth;
}
else if (strstr(line.c_str(), objWithGTHeader.c_str()))
{
sscanf(line.c_str(), objWithGTFmt.c_str(), &numObjects);
if (numObjects <= 0)
break;
}
else if (strstr(line.c_str(), boundBoxHeader.c_str()))
{
sscanf(line.c_str(), boundBoxFmt.c_str(), &xmin, &ymin, &xmax, &ymax);
Rect bndbox;
bndbox.x = xmin;
bndbox.y = ymin;
bndbox.width = xmax - xmin;
bndbox.height = ymax - ymin;
(object->bndboxes).push_back(bndbox);
}
}
CV_Assert((object->bndboxes).size() == (unsigned int)numObjects);
}
void PD_inriaImp::loadDataset(const string &path, const string nameImageSet, vector< Ptr<Object> > &imageSet)
{
string listAnn = path + nameImageSet + "/annotations.lst";
string listPos = path + nameImageSet + "/pos.lst";
string listNeg = path + nameImageSet + "/neg.lst";
vector< string > fsAnn;
vector< string > fsPos;
vector< string > fsNeg;
// read file names
readTextLines(listAnn, fsAnn);
readTextLines(listPos, fsPos);
readTextLines(listNeg, fsNeg);
CV_Assert(fsAnn.size() == fsPos.size());
for (unsigned int i = 0; i < fsPos.size(); i++)
{
Ptr<PD_inriaObj> curr(new PD_inriaObj);
parseAnnotation(path + fsAnn[i], curr);
curr->filename = path + fsPos[i];
curr->sType = POS;
imageSet.push_back(curr);
}
for (unsigned int i = 0; i < fsNeg.size(); i++)
{
Ptr<PD_inriaObj> curr(new PD_inriaObj);
curr->filename = path + fsNeg[i];
curr->sType = NEG;
imageSet.push_back(curr);
}
}
Ptr<PD_inria> PD_inria::create()
{
return Ptr<PD_inriaImp>(new PD_inriaImp);
}
}
}