Update pd_inria.cpp

modules/datasets/samples/pd_inria.cpp

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-//  If you do not agree to this license, do not download, install,
-//  copy or use the software.
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-//
-//                           License Agreement
-//                For Open Source Computer Vision Library
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-// Redistribution and use in source and binary forms, with or without modification,
-// are permitted provided that the following conditions are met:
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-//     this list of conditions and the following disclaimer.
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-//M*/
-
 #include "opencv2/datasets/pd_inria.hpp"
-#include <opencv2/core.hpp>
-
+#include <opencv2/highgui.hpp>
+#include <opencv2/imgproc.hpp>
 #include <iostream>
-#include <string>
-#include <vector>
 
 using namespace std;
 using namespace cv;
@@ -55,6 +12,7 @@ int main(int argc, char *argv[])
     const char *keys =
             "{ help h usage ? |    | show this message }"
             "{ path p         |true| path to dataset }";
+
     CommandLineParser parser(argc, argv, keys);
     string path(parser.get<string>("path"));
     if (parser.has("help") || path=="true")
@@ -66,28 +24,43 @@ int main(int argc, char *argv[])
     Ptr<PD_inria> dataset = PD_inria::create();
     dataset->load(path);
 
-    cout << "train size: " << (unsigned int)dataset->getTrain().size() << endl;
+    size_t train_size = dataset->getTrain().size();
+    size_t test_size = dataset->getTest().size();
+    cout << "train size: " << train_size << endl;
+    cout << "test size: " << test_size << endl;
 
-    PD_inriaObj *example = static_cast<PD_inriaObj *>(dataset->getTrain()[0].get());
-    cout << "first train object: " << endl;
-    cout << "name: " << example->filename << endl;
-    
-    // image size
-    cout << "image size: " << endl;
-    cout << "  - width: " << example->width << endl;
-    cout << "  - height: " << example->height << endl;
-    cout << "  - depth: " << example->depth << endl;
-
-    // bounding boxes
-    for (unsigned int i = 0; i < (example->bndboxes).size(); i++)
+    for( size_t i = 0; i < train_size; i++ )
     {
-        cout << "object " << i << endl;
-        int x = (example->bndboxes)[i].x;
-        int y = (example->bndboxes)[i].y;
-        cout << "  - xmin = " << x  << endl;
-        cout << "  - ymin = " << y << endl;
-        cout << "  - xmax = " << (example->bndboxes)[i].width + x << endl;
-        cout << "  - ymax = " << (example->bndboxes)[i].height + y<< endl;
+        PD_inriaObj *example = static_cast<PD_inriaObj *>(dataset->getTrain()[i].get());
+        cout << "\ntrain object index: " << i << endl;
+        cout << "file name: " << example->filename << endl;
+
+        // image size
+        cout << "image size: " << endl;
+        cout << "  - width: " << example->width << endl;
+        cout << "  - height: " << example->height << endl;
+        cout << "  - depth: " << example->depth << endl;
+
+        Mat img = imread( example->filename );
+
+        // bounding boxes
+        for ( size_t j = 0; j < example->bndboxes.size(); j++ )
+        {
+            cout << "object " << j << endl;
+            int x = example->bndboxes[j].x;
+            int y = example->bndboxes[j].y;
+            cout << "  - xmin = " << x << endl;
+            cout << "  - ymin = " << y << endl;
+            cout << "  - xmax = " << example->bndboxes[j].width + x << endl;
+            cout << "  - ymax = " << example->bndboxes[j].height + y << endl;
+            rectangle( img, example->bndboxes[j], Scalar( 0, 0, 255 ), 2 );
+        }
+
+        imshow("INRIAPerson Dataset Train Images", img);
+
+        cout << "\nPress a key to continue or ESC to exit." << endl;
+        int key = waitKey();
+        if( key == 27 ) break;
     }
 
     return 0;