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https://github.com/opencv/opencv_contrib.git
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68 lines
2.1 KiB
C++
68 lines
2.1 KiB
C++
#include "opencv2/datasets/pd_inria.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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using namespace std;
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using namespace cv;
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using namespace cv::datasets;
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int main(int argc, char *argv[])
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{
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const char *keys =
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"{ help h usage ? | | show this message }"
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"{ path p |true| path to dataset }";
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CommandLineParser parser(argc, argv, keys);
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string path(parser.get<string>("path"));
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if (parser.has("help") || path=="true")
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{
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parser.printMessage();
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return -1;
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}
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Ptr<PD_inria> dataset = PD_inria::create();
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dataset->load(path);
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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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for( size_t i = 0; i < train_size; i++ )
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{
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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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cout << "image size: " << endl;
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cout << " - width: " << example->width << endl;
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cout << " - height: " << example->height << 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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for ( size_t j = 0; j < example->bndboxes.size(); j++ )
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{
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cout << "object " << j << endl;
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int x = example->bndboxes[j].x;
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int y = example->bndboxes[j].y;
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cout << " - xmin = " << x << endl;
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cout << " - ymin = " << y << endl;
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cout << " - xmax = " << example->bndboxes[j].width + x << 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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return 0;
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}
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