103 lines
3.6 KiB
C++
103 lines
3.6 KiB
C++
#include "opencv2/datasets/pd_inria.hpp"
|
|
#include <opencv2/highgui.hpp>
|
|
#include <opencv2/imgproc.hpp>
|
|
#include <iostream>
|
|
|
|
using namespace std;
|
|
using namespace cv;
|
|
using namespace cv::datasets;
|
|
|
|
int main(int argc, char *argv[])
|
|
{
|
|
const char *keys =
|
|
"{ help h usage ? | | show this message }"
|
|
"{ path p |true | path to dataset }"
|
|
"{ save s |false| save resized positive images }"
|
|
"{ rwidth rw |64 | width of resized positive images }"
|
|
"{ rheight rh |128 | height of resized positive images }"
|
|
"{ padding |8 | vertical padding of resized positive images }";
|
|
|
|
CommandLineParser parser(argc, argv, keys);
|
|
bool savebbox = parser.get<bool>("save");
|
|
int rwidth = parser.get<int>("rwidth");
|
|
int rheight = parser.get<int>("rheight");
|
|
int padding = parser.get<int>("padding");
|
|
string path(parser.get<string>("path"));
|
|
|
|
if (parser.has("help") || path=="true")
|
|
{
|
|
parser.printMessage();
|
|
return -1;
|
|
}
|
|
|
|
Ptr<PD_inria> dataset = PD_inria::create();
|
|
dataset->load(path);
|
|
|
|
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;
|
|
|
|
int bbox_count = 0;
|
|
|
|
for( size_t i = 0; i < train_size; i++ )
|
|
{
|
|
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++ )
|
|
{
|
|
Rect obj_bndbox = example->bndboxes[j]; // bounding box of object
|
|
cout << " - bounding box: " << j << " - " << obj_bndbox << endl;
|
|
|
|
int vpadding, hpadding;
|
|
Rect ex_bndbox; // variable used for calculating expanded bounding box
|
|
|
|
vpadding = cvRound(padding * obj_bndbox.height / rheight); // calculate vertical padding
|
|
ex_bndbox.y = obj_bndbox.y - vpadding;
|
|
ex_bndbox.height = 2 * vpadding + obj_bndbox.height;
|
|
ex_bndbox.x = obj_bndbox.x + (obj_bndbox.width / 2);
|
|
ex_bndbox.width = ex_bndbox.height * rwidth / rheight;
|
|
ex_bndbox.x -= (ex_bndbox.width + 1) / 2;
|
|
|
|
if (obj_bndbox.width > ex_bndbox.width)
|
|
{
|
|
obj_bndbox.x += (obj_bndbox.width - ex_bndbox.width + 1) / 2;
|
|
obj_bndbox.width = ex_bndbox.width;
|
|
}
|
|
|
|
hpadding = obj_bndbox.x - ex_bndbox.x; // calculate horizontal padding
|
|
|
|
if(savebbox)
|
|
{
|
|
Mat dst;
|
|
copyMakeBorder(img(obj_bndbox), dst, vpadding, vpadding, hpadding, hpadding, BORDER_REFLECT);
|
|
resize(dst, dst, Size(rwidth, rheight), 0, 0, INTER_AREA);
|
|
imwrite(path + format("person_%04d.png", bbox_count++), dst);
|
|
}
|
|
else
|
|
rectangle(img, obj_bndbox, Scalar(0, 0, 255), 2);
|
|
}
|
|
|
|
if (savebbox)
|
|
continue; // skip UI updates
|
|
|
|
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;
|
|
}
|