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Update pd_inria.cpp
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@@ -1,50 +1,7 @@
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/*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/pd_inria.hpp"
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#include <opencv2/core.hpp>
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#include <opencv2/highgui.hpp>
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#include <opencv2/imgproc.hpp>
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#include <iostream>
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#include <iostream>
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#include <string>
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#include <vector>
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using namespace std;
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using namespace std;
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using namespace cv;
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using namespace cv;
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@@ -55,6 +12,7 @@ int main(int argc, char *argv[])
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const char *keys =
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const char *keys =
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"{ help h usage ? | | show this message }"
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"{ help h usage ? | | show this message }"
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"{ path p |true| path to dataset }";
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"{ path p |true| path to dataset }";
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CommandLineParser parser(argc, argv, keys);
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CommandLineParser parser(argc, argv, keys);
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string path(parser.get<string>("path"));
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string path(parser.get<string>("path"));
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if (parser.has("help") || path=="true")
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if (parser.has("help") || path=="true")
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@@ -66,11 +24,16 @@ int main(int argc, char *argv[])
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Ptr<PD_inria> dataset = PD_inria::create();
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Ptr<PD_inria> dataset = PD_inria::create();
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dataset->load(path);
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dataset->load(path);
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cout << "train size: " << (unsigned int)dataset->getTrain().size() << endl;
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size_t train_size = dataset->getTrain().size();
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size_t test_size = dataset->getTest().size();
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cout << "train size: " << train_size << endl;
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cout << "test size: " << test_size << endl;
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PD_inriaObj *example = static_cast<PD_inriaObj *>(dataset->getTrain()[0].get());
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for( size_t i = 0; i < train_size; i++ )
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cout << "first train object: " << endl;
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{
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cout << "name: " << example->filename << endl;
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PD_inriaObj *example = static_cast<PD_inriaObj *>(dataset->getTrain()[i].get());
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cout << "\ntrain object index: " << i << endl;
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cout << "file name: " << example->filename << endl;
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// image size
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// image size
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cout << "image size: " << endl;
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cout << "image size: " << endl;
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@@ -78,16 +41,26 @@ int main(int argc, char *argv[])
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cout << " - height: " << example->height << endl;
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cout << " - height: " << example->height << endl;
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cout << " - depth: " << example->depth << endl;
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cout << " - depth: " << example->depth << endl;
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Mat img = imread( example->filename );
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// bounding boxes
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// bounding boxes
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for (unsigned int i = 0; i < (example->bndboxes).size(); i++)
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for ( size_t j = 0; j < example->bndboxes.size(); j++ )
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{
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{
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cout << "object " << i << endl;
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cout << "object " << j << endl;
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int x = (example->bndboxes)[i].x;
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int x = example->bndboxes[j].x;
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int y = (example->bndboxes)[i].y;
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int y = example->bndboxes[j].y;
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cout << " - xmin = " << x << endl;
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cout << " - xmin = " << x << endl;
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cout << " - ymin = " << y << endl;
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cout << " - ymin = " << y << endl;
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cout << " - xmax = " << (example->bndboxes)[i].width + x << endl;
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cout << " - xmax = " << example->bndboxes[j].width + x << endl;
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cout << " - ymax = " << (example->bndboxes)[i].height + y<< endl;
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cout << " - ymax = " << example->bndboxes[j].height + y << endl;
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rectangle( img, example->bndboxes[j], Scalar( 0, 0, 255 ), 2 );
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}
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imshow("INRIAPerson Dataset Train Images", img);
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cout << "\nPress a key to continue or ESC to exit." << endl;
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int key = waitKey();
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if( key == 27 ) break;
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}
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}
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return 0;
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return 0;
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