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142 changes: 142 additions & 0 deletions apps/detector_brovkin.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 }"
"{ | detector1 | | XML file with a cascade detector }"
"{ | detector2 | | 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};

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 detector1_file = parser.get<string>("detector1");
CV_Assert(!detector1_file.empty());
string detector2_file = parser.get<string>("detector2");
CV_Assert(!detector2_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 cclass1;
cclass1.load(detector1_file);
CascadeClassifier cclass2;
cclass2.load(detector2_file);
CascadeClassifier cs;
cs.load("./haarcascade_frontalface_default.xml");
if(cs.empty()) cout<<"lol";
if (!image_file.empty())
{
// TODO: Detect objects on image.
Mat img = imread(image_file);
vector<Rect> obj1;
vector<Rect> obj2;
cclass1.detectMultiScale(img, obj1);
cclass2.detectMultiScale(img, obj2);
if (!img.empty())
{
namedWindow("Detection");
int key;
drawDetections(obj1,red,img);
drawDetections(obj2,green,img);
while (key!=27)
{
imshow("Detection",img);
key = waitKey();
}
}
}
else if (!video_file.empty())
{
// TODO: Detect objects on every frame of a video.
VideoCapture cam(video_file);
vector<Rect> obj1;
vector<Rect> obj2;
namedWindow("Detection");
Mat frame;
cam >> frame;
while (cam.isOpened())
{
cam >> frame;
int key;
cclass1.detectMultiScale(frame, obj1);
cclass2.detectMultiScale(frame, obj2);
drawDetections(obj1,red,frame);
drawDetections(obj1,green,frame);
cs.detectMultiScale(frame,obj1);
drawDetections(obj1,Scalar(255,255,255),frame);
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cs выполняет детектирование на изображении с отрисованными на нем прямоугольниками, чего быть не должно. И вообще cs надо отсюда удалить ;)

imshow("Detection",frame);
key = waitKey(10);
if (key == 27) break;
}
}
else if (use_camera)
{
// TODO: Detect objects on a live video stream from camera.

VideoCapture cam(0);
vector<Rect> obj1;
vector<Rect> obj2;
namedWindow("Detection");
Mat frame;
cam >> frame;
for (;;)
{
cam >> frame;
int key;
cclass1.detectMultiScale(frame, obj1);
cclass2.detectMultiScale(frame, obj2);
drawDetections(obj1,red,frame);
drawDetections(obj2,green,frame);
cs.detectMultiScale(frame,obj1);
drawDetections(obj1,Scalar(255,255,255),frame);
imshow("Detection",frame);
key = waitKey(10);
if (key == 27) break;
}
}
else
{
cout << "Declare a source of images to detect on." << endl;
}

return 0;
}