MATLAB实现人脸识别【深度学习、人工智能项目实战】.zip

function varargout = gui_demo1(varargin) % GUI_DEMO1 M-file for gui_demo1.fig % GUI_DEMO1, by itself, creates a new GUI_DEMO1 or raises the existing % singleton*. % % H = GUI_DEMO1 returns the handle to a new GUI_DEMO1 or the handle to % the existing singleton*. % % GUI_DEMO1('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in GUI_DEMO1.M with the given input arguments. % % GUI_DEMO1('Property','Value',...) creates a new GUI_DEMO1 or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before gui_demo1_OpeningFunction gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to gui_demo1_OpeningFcn via varargin. % % *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one % instance to run (singleton)". % % See also: GUIDE, GUIDATA, GUIHANDLES % Edit the above text to modify the response to help gui_demo1 % Last Modified by GUIDE v2.5 16-Apr-2007 10:29:59 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @gui_demo1_OpeningFcn, ... 'gui_OutputFcn', @gui_demo1_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []); if nargin & isstr(varargin{1}) gui_State.gui_Callback = str2func(varargin{1}); end if nargout [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end % End initialization code - DO NOT EDIT % --- Executes just before gui_demo1 is made visible. function gui_demo1_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no output args, see OutputFcn. % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % varargin command line arguments to gui_demo1 (see VARARGIN) % Choose default command line output for gui_demo1 handles.output = hObject; A=ones(256,256); axes(handles.axes2); imshow(A); % Update handles structure guidata(hObject, handles); % UIWAIT makes gui_demo1 wait for user response (see UIRESUME) % uiwait(handles.figure1); % --- Outputs from this function are returned to the command line. function varargout = gui_demo1_OutputFcn(hObject, eventdata, handles) % varargout cell array for returning output args (see VARARGOUT); % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Get default command line output from handles structure varargout{1} = handles.output; % --- Executes on button press in Browse. function Browse_Callback(hObject, eventdata, handles) % hObject handle to Browse (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) [namefile,pathname]=uigetfile('*.*','Select image'); if namefile~=0 [img,map]=imread(strcat(pathname,namefile)); axes(handles.one); imshow(img); dimensioni = size(img); handles.img=img; % Update handles structure guidata(hObject, handles); else warndlg('Input image must be selected.',' Warning ') end % --- Executes on button press in ADD_TO_DATABASE. function ADD_TO_DATABASE_Callback(hObject, eventdata, handles) % hObject handle to ADD_TO_DATABASE (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) messaggio='FACE RECOGNITION.'; img=handles.img; if exist('img') if (exist('face_database.dat')==2) load('face_database.dat','-mat'); face_number=face_number+1; data{face_number,1}=double(img); prompt={strcat(messaggio,'Class number must be a positive integer <= ',num2str(max_class))}; title='Class number'; lines=1; def={'1'}; answer=inputdlg(prompt,title,lines,def); zparameter=double(str2num(char(answer))); if size(zparameter,1)~=0 class_number=zparameter(1); if (class_number<=0)||(class_number>max_class)||(floor(class_number)~=class_number)||(~isa(class_number,'double'))||(any(any(imag(class_number)))) warndlg(strcat('Class number must be a positive integer <= ',num2str(max_class)),' Warning ') else disp('Features extraction...please wait'); if class_number==max_class; % this person (class) has never been added to % database before this moment max_class = class_number+1; features = findfeatures(img); else % this person (class) has already been added to % database features = findfeatures(img); end data{face_number,2} = class_number; L = length(features); for ii=1:L features_data{features_size+ii,1} = features{ii}; features_data{features_size+ii,2} = class_number; end features_size = length(features_data); clc; save('face_database.dat','data','face_number','max_class','features_data','features_size','-append'); msgbox(strcat('Database already exists: image succesfully added to class number ',num2str(class_number)),'Database result','help'); close all; clear('img') end else warndlg(strcat('Class number must be a positive integer <= ',num2str(max_class)),' Warning ') end else face_number=1; max_class=1; data{face_number,1}=double(img); prompt={strcat(messaggio,'Class number must be a positive integer <= ',num2str(max_class))}; title='Class number'; lines=1; def={'1'}; answer=inputdlg(prompt,title,lines,def); zparameter=double(str2num(char(answer))); if size(zparameter,1)~=0 class_number=zparameter(1); if (class_number<=0)||(class_number>max_class)||(floor(class_number)~=class_number)||(~isa(class_number,'double'))||(any(any(imag(class_number)))) warndlg(strcat('Class number must be a positive integer <= ',num2str(max_class)),' Warning ') else disp('Features extraction...please wait'); max_class=2; data{face_number,2}=class_number; features = findfeatures(img); L = length(features); for ii=1:L features_data{ii,1} = features{ii}; features_data{ii,2} = class_number; end features_size = length(features_data); clc; save('face_database.dat