├── README.md
├── Project1c++
    ├── VideoCap.h
    ├── FD.cpp
    ├── main.cpp
    ├── Project1c++.vcxproj.filters
    ├── FaceRec.h
    └── Project1c++.vcxproj
├── Project1c++.sln
├── .gitattributes
└── .gitignore


/README.md:
--------------------------------------------------------------------------------
1 | # Face-Detection-Recognition
2 | Console Application that detect human face and recognizes it.
3 | The source code is self descriptive and you can also go through the video tutorial:
4 | Link: https://youtu.be/7FozGIJ4LPQ
5 | 
6 | 


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/Project1c++/VideoCap.h:
--------------------------------------------------------------------------------
 1 | #pragma once
 2 | /*@author gihan tharanga*/
 3 | 
 4 | #include <iostream>
 5 | #include <string>
 6 | 
 7 | //video capturing methods
 8 | 
 9 | int videoCapturing();
10 | int videoCapOriginal();
11 | 
12 | /*detect the faces display the frames and number of face*/
13 | int FaceDetector(std::string&);


--------------------------------------------------------------------------------
/Project1c++/FD.cpp:
--------------------------------------------------------------------------------
 1 | // Project1c++.cpp : This file contains the 'main' function. Program execution begins and ends there.
 2 | //
 3 | 
 4 | #include <iostream>
 5 | 
 6 | int main()
 7 | {
 8 |     std::cout << "Hello World!\n"; 
 9 | }
10 | 
11 | // Run program: Ctrl + F5 or Debug > Start Without Debugging menu
12 | // Debug program: F5 or Debug > Start Debugging menu
13 | 
14 | // Tips for Getting Started: 
15 | //   1. Use the Solution Explorer window to add/manage files
16 | //   2. Use the Team Explorer window to connect to source control
17 | //   3. Use the Output window to see build output and other messages
18 | //   4. Use the Error List window to view errors
19 | //   5. Go to Project > Add New Item to create new code files, or Project > Add Existing Item to add existing code files to the project
20 | //   6. In the future, to open this project again, go to File > Open > Project and select the .sln file
21 | 


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/Project1c++/main.cpp:
--------------------------------------------------------------------------------
 1 | #include<iostream>
 2 | #include<stdlib.h>
 3 | #include<stdio.h>
 4 | 
 5 | //opencv
 6 | #include<opencv2\objdetect\objdetect.hpp>
 7 | #include<opencv2\imgproc\imgproc.hpp>
 8 | #include<opencv2\highgui\highgui.hpp>
 9 | #include "opencv2\core.hpp"
10 | #include <opencv2\core\core.hpp>
11 | #include <opencv2\opencv.hpp>
12 | #include "opencv2/face.hpp"
13 | 
14 | //file handling
15 | #include <fstream>
16 | #include <sstream>
17 | 
18 | //header files that contain functions
19 | #include "FaceRec.h"
20 | 
21 | 
22 | using namespace std;
23 | using namespace cv;
24 | using namespace cv::face;
25 | 
26 | int main()
27 | {
28 | 	int choice;
29 | 	cout << "1. Recognise Face\n";
30 | 	cout << "2. Add Face\n";
31 | 	cout << "Choose One: ";
32 | 	cin >> choice;
33 | 	switch (choice)
34 | 	{
35 | 	case 1:
36 | 		FaceRecognition();
37 | 		break;
38 | 	case 2:
39 | 		addFace();
40 | 		eigenFaceTrainer();
41 | 		break;
42 | 	default:
43 | 		return 0;
44 | 	}
45 |     //system("pause");
46 | 	return 0;
47 | }


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/Project1c++/Project1c++.vcxproj.filters:
--------------------------------------------------------------------------------
 1 | <?xml version="1.0" encoding="utf-8"?>
 2 | <Project ToolsVersion="4.0" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
 3 |   <ItemGroup>
 4 |     <Filter Include="Source Files">
 5 |       <UniqueIdentifier>{4FC737F1-C7A5-4376-A066-2A32D752A2FF}</UniqueIdentifier>
 6 |       <Extensions>cpp;c;cc;cxx;def;odl;idl;hpj;bat;asm;asmx</Extensions>
 7 |     </Filter>
 8 |     <Filter Include="Header Files">
 9 |       <UniqueIdentifier>{93995380-89BD-4b04-88EB-625FBE52EBFB}</UniqueIdentifier>
10 |       <Extensions>h;hh;hpp;hxx;hm;inl;inc;ipp;xsd</Extensions>
11 |     </Filter>
12 |     <Filter Include="Resource Files">
13 |       <UniqueIdentifier>{67DA6AB6-F800-4c08-8B7A-83BB121AAD01}</UniqueIdentifier>
14 |       <Extensions>rc;ico;cur;bmp;dlg;rc2;rct;bin;rgs;gif;jpg;jpeg;jpe;resx;tiff;tif;png;wav;mfcribbon-ms</Extensions>
15 |     </Filter>
16 |   </ItemGroup>
17 |   <ItemGroup>
18 |     <ClCompile Include="main.cpp">
19 |       <Filter>Source Files</Filter>
20 |     </ClCompile>
21 |   </ItemGroup>
22 |   <ItemGroup>
23 |     <ClInclude Include="FaceRec.h">
24 |       <Filter>Header Files</Filter>
25 |     </ClInclude>
26 |   </ItemGroup>
27 | </Project>


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/Project1c++.sln:
--------------------------------------------------------------------------------
 1 | 
 2 | Microsoft Visual Studio Solution File, Format Version 12.00
 3 | # Visual Studio Version 16
 4 | VisualStudioVersion = 16.0.28803.352
 5 | MinimumVisualStudioVersion = 10.0.40219.1
 6 | Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "Project1c++", "Project1c++\Project1c++.vcxproj", "{FABF3CAB-629D-4AE0-A589-1E50890DD89A}"
 7 | EndProject
 8 | Global
 9 | 	GlobalSection(SolutionConfigurationPlatforms) = preSolution
10 | 		Debug|x64 = Debug|x64
11 | 		Debug|x86 = Debug|x86
12 | 		Release|x64 = Release|x64
13 | 		Release|x86 = Release|x86
14 | 	EndGlobalSection
15 | 	GlobalSection(ProjectConfigurationPlatforms) = postSolution
16 | 		{FABF3CAB-629D-4AE0-A589-1E50890DD89A}.Debug|x64.ActiveCfg = Debug|x64
17 | 		{FABF3CAB-629D-4AE0-A589-1E50890DD89A}.Debug|x64.Build.0 = Debug|x64
18 | 		{FABF3CAB-629D-4AE0-A589-1E50890DD89A}.Debug|x86.ActiveCfg = Debug|Win32
19 | 		{FABF3CAB-629D-4AE0-A589-1E50890DD89A}.Debug|x86.Build.0 = Debug|Win32
20 | 		{FABF3CAB-629D-4AE0-A589-1E50890DD89A}.Release|x64.ActiveCfg = Release|x64
21 | 		{FABF3CAB-629D-4AE0-A589-1E50890DD89A}.Release|x64.Build.0 = Release|x64
22 | 		{FABF3CAB-629D-4AE0-A589-1E50890DD89A}.Release|x86.ActiveCfg = Release|Win32
23 | 		{FABF3CAB-629D-4AE0-A589-1E50890DD89A}.Release|x86.Build.0 = Release|Win32
24 | 	EndGlobalSection
25 | 	GlobalSection(SolutionProperties) = preSolution
26 | 		HideSolutionNode = FALSE
27 | 	EndGlobalSection
28 | 	GlobalSection(ExtensibilityGlobals) = postSolution
29 | 		SolutionGuid = {73632E06-563E-4700-A8B3-B074ED1955B8}
30 | 	EndGlobalSection
31 | EndGlobal
32 | 


--------------------------------------------------------------------------------
/.gitattributes:
--------------------------------------------------------------------------------
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60 | #*.pdf   diff=astextplain
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62 | #*.rtf   diff=astextplain
63 | #*.RTF   diff=astextplain
64 | 


--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
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/Project1c++/FaceRec.h:
--------------------------------------------------------------------------------
  1 | #include <iostream>
  2 | #include <string>
  3 | 
  4 | //include opencv core
  5 | #include "opencv2\core\core.hpp"
  6 | #include "opencv2\core.hpp"
  7 | #include "opencv2\face.hpp"
  8 | #include "opencv2\highgui\highgui.hpp"
  9 | #include "opencv2\objdetect\objdetect.hpp"
 10 | #include "opencv2\opencv.hpp"
 11 | #include<direct.h>
 12 | 
 13 | //file handling
 14 | #include <fstream>
 15 | #include <sstream>
 16 | 
 17 | using namespace std;
 18 | using namespace cv;
 19 | using namespace cv::face;
 20 | 
 21 | CascadeClassifier face_cascade;
 22 | string filename;
 23 | string name;
 24 | int filenumber = 0;
 25 | 
 26 | void detectAndDisplay(Mat frame)
 27 | {
 28 | 	vector<Rect> faces;
 29 | 	Mat frame_gray;
 30 | 	Mat crop;
 31 | 	Mat res;
 32 | 	Mat gray;
 33 | 	string text;
 34 | 	stringstream sstm;
 35 | 
 36 | 	cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
 37 | 	equalizeHist(frame_gray, frame_gray);
 38 | 
 39 | 	face_cascade.detectMultiScale(frame_gray, faces, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
 40 | 
 41 | 	Rect roi_b;
 42 | 	Rect roi_c;
 43 | 
 44 | 	size_t ic = 0;
 45 | 	int ac = 0;
 46 | 
 47 | 	size_t ib = 0;
 48 | 	int ab = 0;
 49 | 
 50 | 	for (ic = 0; ic < faces.size(); ic++)
 51 | 
 52 | 	{
 53 | 		roi_c.x = faces[ic].x;
 54 | 		roi_c.y = faces[ic].y;
 55 | 		roi_c.width = (faces[ic].width);
 56 | 		roi_c.height = (faces[ic].height);
 57 | 
 58 | 		ac = roi_c.width * roi_c.height;
 59 | 
 60 | 		roi_b.x = faces[ib].x;
 61 | 		roi_b.y = faces[ib].y;
 62 | 		roi_b.width = (faces[ib].width);
 63 | 		roi_b.height = (faces[ib].height);
 64 | 
 65 | 
 66 | 		crop = frame(roi_b);
 67 | 		resize(crop, res, Size(128, 128), 0, 0, INTER_LINEAR);
 68 | 		cvtColor(crop, gray, COLOR_BGR2GRAY);
 69 | 		stringstream ssfn;
 70 | 		filename = "C:\\Users\\Asus\\Desktop\\Faces\\";
 71 | 		ssfn << filename.c_str() << name << filenumber << ".jpg";
 72 | 		filename = ssfn.str();
 73 | 		imwrite(filename, res);
 74 | 		filenumber++;
 75 | 
 76 | 
 77 | 		Point pt1(faces[ic].x, faces[ic].y);
 78 | 		Point pt2((faces[ic].x + faces[ic].height), (faces[ic].y + faces[ic].width));
 79 | 		rectangle(frame, pt1, pt2, Scalar(0, 255, 0), 2, 8, 0);
 80 | 	}
 81 | 
 82 | 
 83 | 	sstm << "Crop area size: " << roi_b.width << "x" << roi_b.height << " Filename: " << filename;
 84 | 	text = sstm.str();
 85 | 
 86 | 	if (!crop.empty())
 87 | 	{
 88 | 		imshow("detected", crop);
 89 | 	}
 90 | 	else
 91 | 		destroyWindow("detected");
 92 | 
 93 | }
 94 | 
 95 | void addFace()
 96 | {
 97 | 	cout << "\nEnter Your Name:  ";
 98 | 	cin >> name;
 99 | 
100 | 	VideoCapture capture(0);
101 | 
102 |     if (!capture.isOpened())  
103 |         return;
104 | 
105 |     if (!face_cascade.load("C:\\Users\\Asus\\Downloads\\opencv4.1\\build\\install\\etc\\haarcascades\\haarcascade_frontalface_alt.xml"))
106 |     {
107 |         cout << "error" << endl;
108 |         return ;
109 |     };
110 | 
111 |     Mat frame;
112 | 	cout << "\nCapturing your face 10 times, Press 'C' 10 times keeping your face front of the camera";
113 | 	char key;
114 | 	int i = 0;
115 | 
116 |     for (;;)
117 |     {
118 |         capture >> frame;
119 | 
120 |         //imshow("Camera", frame);
121 | 		detectAndDisplay(frame);
122 | 		i++;
123 | 		if (i == 10)
124 | 		{
125 | 			cout << "Face Added";
126 | 			break;
127 | 		}
128 | 		//break;
129 |         int c = waitKey(10);
130 | 
131 |         if (27 == char(c))
132 |         {
133 |             break;
134 |         }
135 | 		//imshow("Output Capture", frame);
136 |     }
137 | 
138 |     return;
139 | }
140 | 
141 | 
142 | static void dbread(vector<Mat>& images, vector<int>& labels) {
143 | 	vector<cv::String> fn;
144 | 	filename = "C:\\Users\\Asus\\Desktop\\Faces\\";
145 | 	glob(filename, fn, false);
146 | 	
147 | 	//glob("C:\\Users\\Asus\\Desktop\\Faces\\Ali\\*.jpg", fn, false);
148 | 
149 | 	size_t count = fn.size();
150 | 
151 | 	for (size_t i = 0; i < count; i++)
152 | 	{
153 | 		string itsname="";
154 | 		char sep = '\\';
155 | 		size_t j = fn[i].rfind(sep, fn[i].length());
156 | 		if (j != string::npos) 
157 | 		{
158 | 			itsname=(fn[i].substr(j + 1, fn[i].length() - j-6));
159 | 		}
160 | 		images.push_back(imread(fn[i], 0));
161 | 		labels.push_back(atoi(itsname.c_str()));
162 | 	}
163 | }
164 | 
165 | void eigenFaceTrainer() {
166 | 	vector<Mat> images;
167 | 	vector<int> labels;
168 | 	dbread(images, labels);
169 |     cout << "size of the images is " << images.size() << endl;
170 | 	cout << "size of the labels is " << labels.size() << endl;
171 | 	cout << "Training begins...." << endl;
172 | 
173 | 	//create algorithm eigenface recognizer
174 | 	Ptr<EigenFaceRecognizer> model = EigenFaceRecognizer::create();
175 | 
176 | 	//train data
177 | 	model->train(images, labels);
178 | 
179 | 	model->save("C:\\Users\\Asus\\Desktop\\eigenface.yml");
180 | 
181 | 	cout << "Training finished...." << endl;  
182 | 	waitKey(10000);
183 | }
184 | 
185 | void  FaceRecognition() {
186 | 
187 | 	cout << "start recognizing..." << endl;
188 | 
189 | 	//load pre-trained data sets
190 | 	Ptr<FaceRecognizer>  model = FisherFaceRecognizer::create();
191 | 	model->read("C:\\Users\\Asus\\Desktop\\eigenface.yml");
192 | 
193 | 	Mat testSample = imread("C:\\Users\\Asus\\Desktop\\0.jpg", 0);
194 | 
195 | 	int img_width = testSample.cols;
196 | 	int img_height = testSample.rows;
197 | 
198 | 
199 | 	//lbpcascades/lbpcascade_frontalface.xml
200 | 
201 | 	string window = "Capture - face detection";
202 | 
203 | 	if (!face_cascade.load("C:\\Users\\Asus\\Downloads\\opencv4.1\\build\\install\\etc\\haarcascades\\haarcascade_frontalface_alt.xml")) {
204 | 		cout << " Error loading file" << endl;
205 | 		return;
206 | 	}
207 | 
208 | 	VideoCapture cap(0);
209 | 	//VideoCapture cap("C:/Users/lsf-admin/Pictures/Camera Roll/video000.mp4");
210 | 
211 | 	if (!cap.isOpened())
212 | 	{
213 | 		cout << "exit" << endl;
214 | 		return;
215 | 	}
216 | 
217 | 	//double fps = cap.get(CV_CAP_PROP_FPS);
218 | 	//cout << " Frames per seconds " << fps << endl;
219 | 	namedWindow(window, 1);
220 | 	long count = 0;
221 | 	string Pname= "";
222 | 
223 | 	while (true)
224 | 	{
225 | 		vector<Rect> faces;
226 | 		Mat frame;
227 | 		Mat graySacleFrame;
228 | 		Mat original;
229 | 
230 | 		cap >> frame;
231 | 		//cap.read(frame);
232 | 		count = count + 1;//count frames;
233 | 
234 | 		if (!frame.empty()) {
235 | 
236 | 			//clone from original frame
237 | 			original = frame.clone();
238 | 
239 | 			//convert image to gray scale and equalize
240 | 			cvtColor(original, graySacleFrame, COLOR_BGR2GRAY);
241 | 			//equalizeHist(graySacleFrame, graySacleFrame);
242 | 
243 | 			//detect face in gray image
244 | 			face_cascade.detectMultiScale(graySacleFrame, faces, 1.1, 3, 0, cv::Size(90, 90));
245 | 
246 | 			//number of faces detected
247 | 			//cout << faces.size() << " faces detected" << endl;
248 | 			std::string frameset = std::to_string(count);
249 | 			std::string faceset = std::to_string(faces.size());
250 | 
251 | 			int width = 0, height = 0;
252 | 
253 | 			//region of interest
254 | 			//cv::Rect roi;
255 | 
256 | 			for (int i = 0; i < faces.size(); i++)
257 | 			{
258 | 				//region of interest
259 | 				Rect face_i = faces[i];
260 | 
261 | 				//crop the roi from grya image
262 | 				Mat face = graySacleFrame(face_i);
263 | 
264 | 				//resizing the cropped image to suit to database image sizes
265 | 				Mat face_resized;
266 | 				cv::resize(face, face_resized, Size(img_width, img_height), 1.0, 1.0, INTER_CUBIC);
267 | 
268 | 				//recognizing what faces detected
269 | 				int label = -1; double confidence = 0;
270 | 				model->predict(face_resized, label, confidence);
271 | 
272 | 				cout << " confidence " << confidence << " Label: " << label << endl;
273 | 				
274 | 				Pname = to_string(label);
275 | 
276 | 				//drawing green rectagle in recognize face
277 | 				rectangle(original, face_i, CV_RGB(0, 255, 0), 1);
278 | 				string text = Pname;
279 | 
280 | 				int pos_x = std::max(face_i.tl().x - 10, 0);
281 | 				int pos_y = std::max(face_i.tl().y - 10, 0);
282 | 
283 | 				//name the person who is in the image
284 | 				putText(original, text, Point(pos_x, pos_y), FONT_HERSHEY_COMPLEX_SMALL, 1.0, CV_RGB(0, 255, 0), 1.0);
285 | 				//cv::imwrite("E:/FDB/"+frameset+".jpg", cropImg);
286 | 
287 | 			}
288 | 
289 | 
290 | 			putText(original, "Frames: " + frameset, Point(30, 60), FONT_HERSHEY_COMPLEX_SMALL, 1.0, CV_RGB(0, 255, 0), 1.0);
291 | 			putText(original, "No. of Persons detected: " + to_string(faces.size()), Point(30, 90), FONT_HERSHEY_COMPLEX_SMALL, 1.0, CV_RGB(0, 255, 0), 1.0);
292 | 			//display to the winodw
293 | 			cv::imshow(window, original);
294 | 
295 | 			//cout << "model infor " << model->getDouble("threshold") << endl;
296 | 
297 | 		}
298 | 		if (waitKey(30) >= 0) break;
299 | 	}
300 | }
301 | 	


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