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203 lines
6.3 KiB
203 lines
6.3 KiB
/*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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