HCI HW Assignment 1- Al-ameen Mawji and Bishoy Roufael

README.md

@@ -1,8 +1,7 @@
 # Practical Assignment 1
 **Dealine**: 27.09.2021
-
-Please put your name here:  
-**Name:** .......
+
+**Name: Al-ameen Mawji (Worked with Bishoy Roufael)**
 ## Problem 1.1
 ### Calculate Frames-per-Second (FPS) (Points 30)
 1. Fork the current repository

src/cascade.cpp

@@ -0,0 +1,50 @@
+#include "opencv2/objdetect/objdetect.hpp"
+#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/imgproc/imgproc.hpp"
+
+#include <iostream>
+#include <stdio.h>
+
+using namespace std;
+using namespace cv;
+
+int main()
+{
+    // Load Face cascade (.xml file)
+    CascadeClassifier face_cascade;
+    face_cascade.load("haarcascade_frontalface_alt.xml");
+    if (!face_cascade.load("haarcascade_frontalface_alt.xml"))
+    {
+        cerr << "Error Loading XML file" << endl;
+        return 0;
+    }
+
+    VideoCapture capture(0);
+    if (!capture.isOpened())
+        throw "Error when reading file";
+    namedWindow("window", 1);
+    for (;;)
+    {
+        Mat image;
+        capture >> image;
+        if (image.empty())
+            break;
+
+        /*
+            Detect Faces
+        */
+        std::vector<Rect> faces;
+        face_cascade.detectMultiScale(image, faces, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
+
+        for (int i = 0; i < faces.size(); i++)
+        {
+            Point center(faces[i].x + faces[i].width * 0.5, faces[i].y + faces[i].height * 0.5);
+            ellipse(image, center, Size(faces[i].width * 0.5, faces[i].height * 0.5), 0, 0, 360, Scalar(255, 0, 255), 4, 8, 0);
+        }
+
+        imshow("Detected Face using cascade", image);
+        waitKey(1);
+    }
+
+    return 0;
+}

src/main.cpp

@@ -1,18 +1,54 @@
-#include "types.h"
+#include <opencv2/core.hpp>
+#include <opencv2/highgui.hpp>
+#include <iostream>
+#include <numeric>
+
+using namespace cv;
+
+
+template <typename T>
+T average(std::vector<T> const& v) {
+	if (v.empty()) {
+		return 0;
+	}
+	return std::accumulate(v.begin(), v.end(), 0.0) / v.size();
+}
 
 int main() {
 	VideoCapture camera;
 	if (!camera.open(0)) {
 		printf("Can't find a camera\n");
 		return 1;
 	};
-	
+
 	// Main loop
 	Mat img;
-	for(;;) {
+	std::vector<long> fpsCont;
+
+	long frameCounter = 0;
+
+	std::time_t timeBegin = std::time(0);
+	int tick = 0;
+
+	for (;;) {
 		camera >> img;
 		imshow("Camera", img);
+
 		int key = waitKey(5);
+
+		frameCounter++;
+		fpsCont.push_back(frameCounter);
+
+		std::time_t timeNow = std::time(0) - timeBegin;
+		if (timeNow - tick >= 1)
+		{
+			tick+=2;
+			std::cout << "Average Frames per second: " << average(fpsCont) << std::endl;
+			frameCounter = 0;
+			fpsCont.clear();
+		}
+
+
 		if (key == 27 || key == 'q') break;
 	}
 	camera.release();