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204 lines
6.3 KiB
C++
204 lines
6.3 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2015, Itseez Inc, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Itseez Inc or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "opencv2/datasets/pd_inria.hpp"
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#include "opencv2/datasets/util.hpp"
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namespace cv
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{
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namespace datasets
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{
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using namespace std;
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class PD_inriaImp : public PD_inria
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{
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public:
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PD_inriaImp() {}
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virtual ~PD_inriaImp() {}
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virtual void load(const string &path);
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private:
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void loadDataset(const string &path, const string nameImageSet, vector< Ptr<Object> > &imageSet);
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void readTextLines(const string filename, vector< string > &lines);
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void parseAnnotation(const string filename, Ptr< PD_inriaObj > &object);
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};
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void PD_inriaImp::load(const string &path)
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{
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// Training set
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train.push_back(vector< Ptr<Object> >());
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loadDataset(path, "Train", train.back());
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// Testing set
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test.push_back(vector< Ptr<Object> >());
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loadDataset(path, "Test", test.back());
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// There is no validation set
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validation.push_back(vector< Ptr<Object> >());
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}
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void PD_inriaImp::readTextLines(const string filename, vector< string > &lines)
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{
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ifstream in(filename.c_str());
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string error_message = "";
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if (!in.is_open())
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{
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error_message = format("Unable to open file: \n%s\n", filename.c_str());
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CV_Error(Error::StsBadArg, error_message);
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}
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string currline = "";
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while (getline(in, currline))
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lines.push_back(currline);
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}
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void PD_inriaImp::parseAnnotation(const string filename, Ptr< PD_inriaObj > &object)
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{
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string error_message = "";
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ifstream in(filename.c_str());
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if (!in.is_open())
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{
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error_message = format("Unable to open file: \n%s\n", filename.c_str());
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CV_Error(Error::StsBadArg, error_message);
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}
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string imageSizeHeader = "Image size (X x Y x C) : ";
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string imageSizeFmt = imageSizeHeader + "%d x %d x %d";
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string objWithGTHeader = "Objects with ground truth : ";
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string objWithGTFmt = objWithGTHeader + "%d { \"PASperson\" }";
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string boundBoxHeader = "Bounding box for object ";
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string boundBoxFmt = boundBoxHeader + "%*d \"PASperson\" (Xmin, Ymin) - (Xmax, Ymax) : (%d, %d) - (%d, %d)";
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string line = "";
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int width = 0;
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int height = 0;
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int depth = 0;
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int xmin, ymin, xmax, ymax;
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int numObjects = 0;
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while (getline(in, line))
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{
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if (line[0] == '#' || !line[0])
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continue;
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if (strstr(line.c_str(), imageSizeHeader.c_str()))
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{
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sscanf(line.c_str(), imageSizeFmt.c_str(), &width, &height, &depth);
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object->width = width;
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object->height = height;
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object->depth = depth;
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}
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else if (strstr(line.c_str(), objWithGTHeader.c_str()))
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{
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sscanf(line.c_str(), objWithGTFmt.c_str(), &numObjects);
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if (numObjects <= 0)
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break;
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}
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else if (strstr(line.c_str(), boundBoxHeader.c_str()))
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{
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sscanf(line.c_str(), boundBoxFmt.c_str(), &xmin, &ymin, &xmax, &ymax);
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Rect bndbox;
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bndbox.x = xmin;
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bndbox.y = ymin;
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bndbox.width = xmax - xmin;
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bndbox.height = ymax - ymin;
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(object->bndboxes).push_back(bndbox);
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}
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}
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CV_Assert((object->bndboxes).size() == (unsigned int)numObjects);
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}
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void PD_inriaImp::loadDataset(const string &path, const string nameImageSet, vector< Ptr<Object> > &imageSet)
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{
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string listAnn = path + nameImageSet + "/annotations.lst";
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string listPos = path + nameImageSet + "/pos.lst";
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string listNeg = path + nameImageSet + "/neg.lst";
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vector< string > fsAnn;
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vector< string > fsPos;
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vector< string > fsNeg;
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// read file names
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readTextLines(listAnn, fsAnn);
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readTextLines(listPos, fsPos);
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readTextLines(listNeg, fsNeg);
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CV_Assert(fsAnn.size() == fsPos.size());
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for (unsigned int i = 0; i < fsPos.size(); i++)
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{
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Ptr<PD_inriaObj> curr(new PD_inriaObj);
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parseAnnotation(path + fsAnn[i], curr);
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curr->filename = path + fsPos[i];
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curr->sType = POS;
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imageSet.push_back(curr);
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}
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for (unsigned int i = 0; i < fsNeg.size(); i++)
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{
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Ptr<PD_inriaObj> curr(new PD_inriaObj);
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curr->filename = path + fsNeg[i];
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curr->sType = NEG;
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imageSet.push_back(curr);
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}
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}
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Ptr<PD_inria> PD_inria::create()
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{
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return Ptr<PD_inriaImp>(new PD_inriaImp);
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}
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}
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}
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