From c01ea1cedb17feee663165d60c7bd361aa7037a1 Mon Sep 17 00:00:00 2001
From: unknown <ss2015@ws-2k-110-n03.ccam.cmc.unn.net>
Date: Wed, 19 Aug 2015 17:43:19 +0300
Subject: [PATCH] face or logo detection on images and camera

---
 apps/detector_moshkina.cpp | 106 +++++++++++++++++++++++++++++++++++++
 1 file changed, 106 insertions(+)
 create mode 100644 apps/detector_moshkina.cpp

diff --git a/apps/detector_moshkina.cpp b/apps/detector_moshkina.cpp
new file mode 100644
index 0000000..bf13b35
--- /dev/null
+++ b/apps/detector_moshkina.cpp
@@ -0,0 +1,106 @@
+#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};
+
+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 cc1;
+	cc1.load(detector_file);
+
+    if (!image_file.empty())
+    {
+        // TODO: Detect objects on image.
+		Mat img = imread(image_file);
+		vector<Rect> objs;
+		cc1.detectMultiScale(img, objs);
+		namedWindow("newWindow", WINDOW_AUTOSIZE);
+		drawDetections(objs, red, img);
+		imshow("newWindow", img);
+		waitKey(0);
+
+    }
+    else if (!video_file.empty())
+    {
+        // TODO: Detect objects on every frame of a video.
+		
+    }
+	else if (use_camera)
+	{
+		// TODO: Detect objects on a live video stream from camera.
+		VideoCapture cap(0);
+		Mat frame;
+		vector<Rect> objs;
+		cap.open(0);
+		
+		if (!cap.isOpened())
+		{
+			cout << "muy mal" <<endl;
+			return -1;
+		}
+		namedWindow("myVideo", 1);
+		while(true) {
+			cap >> frame;
+			if (frame.empty()) continue;
+			cc1.detectMultiScale(frame, objs);
+			drawDetections(objs, red, frame);
+			imshow("myVideo", frame);
+			if (waitKey(1) == 27) break;
+		}
+
+    }
+    else
+    {
+        cout << "Declare a source of images to detect on." << endl;
+    }
+
+    return 0;
+}
+
+
+