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124 changes: 124 additions & 0 deletions apps/detector_Shchedrin.cpp
Original file line number Diff line number Diff line change
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#include <iostream>
#include <string>
#include <vector>

#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/objdetect/objdetect.hpp"

using namespace std;
using namespace cv;

const char* params =
"{ h | help | false | print usage }"
"{ | detector | | XML file with a cascade detector }"
"{ | image | | image to detect objects on }"
"{ | video | | video file to detect on }"
"{ | camera | false | whether to detect on video stream from camera }";


void drawDetections(const vector<Rect>& detections,
const Scalar& color,
Mat& image)
{
for (size_t i = 0; i < detections.size(); ++i)
{
rectangle(image, detections[i], color, 2);
}
}

const Scalar red(0, 0, 255);
const Scalar green(0, 255, 0);
const Scalar blue(255, 0, 0);
const Scalar colors[] = {red, green, blue};

void detectOnImage(CascadeClassifier &classif, const Mat &image, Mat &res){
res = image.clone();
vector<Rect> found;
classif.detectMultiScale(image, found);
for(int i = 0; i < found.size(); i++){
rectangle(res, found[i],Scalar(100,200,0),2);
}
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Для отрисовки результатов детектирования есть функция, находящаяся на 15 строк выше.

}

int main(int argc, char** argv)
{
// Parse command line arguments.
CommandLineParser parser(argc, argv, params);
// If help flag is present, print help message and exit.
if (parser.get<bool>("help"))
{
parser.printParams();
return 0;
}

string detector_file = parser.get<string>("detector");
CV_Assert(!detector_file.empty());
string image_file = parser.get<string>("image");
string video_file = parser.get<string>("video");
bool use_camera = parser.get<bool>("camera");

// TODO: Load detector.
CascadeClassifier classif;

if(!classif.load(detector_file)){
cerr<<"Can not load detector"<<endl;
}

if (!image_file.empty())
{
Mat image = imread(image_file);
Mat res;
detectOnImage(classif, image, res);
imshow("detect", res);
int key = waitKey();
}
else if (!video_file.empty())
{
int key = 0;
VideoCapture cap(video_file);
if(!cap.isOpened()){
cerr<<"Can not open video"<<endl;
return -1;
}
Mat image, res;
do{
cap >> image;
if(image.empty()){
continue;
}
detectOnImage(classif, image, res);
imshow("detect", res);
key = waitKey(1);
}while(key != 27);

}
else if (use_camera)
{
int key = 0;
VideoCapture cap(0);
if(!cap.isOpened()){
cerr<<"Can not connect to camera"<<endl;
return -1;
}
Mat image, res;
do{
cap >> image;
if(image.empty()){
continue;
}
detectOnImage(classif, image, res);
imshow("detect", res);
key = waitKey(1);
}while(key != 27);
}
else
{
cout << "Declare a source of images to detect on." << endl;
}

return 0;
}