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@ -10,11 +10,20 @@ 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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"{ help h usage ? | | show this message }" |
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"{ path p |true | path to dataset }" |
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"{ save s |false| save resized positive images }" |
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"{ rwidth rw |64 | width of resized positive images }" |
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"{ rheight rh |128 | height of resized positive images }" |
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"{ padding |8 | vertical padding of resized positive images }"; |
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CommandLineParser parser(argc, argv, keys); |
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bool savebbox = parser.get<bool>("save"); |
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int rwidth = parser.get<int>("rwidth"); |
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int rheight = parser.get<int>("rheight"); |
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int padding = parser.get<int>("padding"); |
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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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@ -29,6 +38,8 @@ int main(int argc, char *argv[]) |
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cout << "train size: " << train_size << endl; |
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cout << "test size: " << test_size << endl; |
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int bbox_count = 0; |
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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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@ -46,18 +57,42 @@ int main(int argc, char *argv[]) |
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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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Rect obj_bndbox = example->bndboxes[j]; // bounding box of object
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cout << " - bounding box: " << j << " - " << obj_bndbox << endl; |
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int vpadding, hpadding; |
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Rect ex_bndbox; // variable used for calculating expanded bounding box
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vpadding = cvRound(padding * obj_bndbox.height / rheight); // calculate vertical padding
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ex_bndbox.y = obj_bndbox.y - vpadding; |
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ex_bndbox.height = 2 * vpadding + obj_bndbox.height; |
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ex_bndbox.x = obj_bndbox.x + (obj_bndbox.width / 2); |
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ex_bndbox.width = ex_bndbox.height * rwidth / rheight; |
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ex_bndbox.x -= (ex_bndbox.width + 1) / 2; |
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if (obj_bndbox.width > ex_bndbox.width) |
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{ |
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obj_bndbox.x += (obj_bndbox.width - ex_bndbox.width + 1) / 2; |
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obj_bndbox.width = ex_bndbox.width; |
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} |
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hpadding = obj_bndbox.x - ex_bndbox.x; // calculate horizontal padding
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if(savebbox) |
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{ |
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Mat dst; |
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copyMakeBorder(img(obj_bndbox), dst, vpadding, vpadding, hpadding, hpadding, BORDER_REFLECT); |
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resize(dst, dst, Size(rwidth, rheight), 0, 0, INTER_AREA); |
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imwrite(path + format("person_%04d.png", bbox_count++), dst); |
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} |
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else |
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rectangle(img, obj_bndbox, Scalar(0, 0, 255), 2); |
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} |
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imshow("INRIAPerson Dataset Train Images", img); |
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if (savebbox) |
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continue; // skip UI updates
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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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