1.完整项目描述和程序获取
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2.部分仿真图预览
3.算法概述
基于卷积神经网络（CNN）的口罩识别系统是一种用于自动检测人们是否佩戴口罩的技术。在COVID-19疫情爆发以来，这样的系统变得尤为重要，因为佩戴口罩已成为一种重要的健康防护措施。
4.部分源码
function varargout = tops(varargin)
% TOPS MATLAB code for tops.fig
% TOPS, by itself, creates a new TOPS or raises the existing
% singleton*.
%
% H = TOPS returns the handle to a new TOPS or the handle to
% the existing singleton*.
%
% TOPS('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in TOPS.M with the given input arguments.
%
% TOPS('Property','Value',...) creates a new TOPS or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before tops_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to tops_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 tops
% Last Modified by GUIDE v2.5 23-Aug-2023 23:37:39
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @tops_OpeningFcn, ...
'gui_OutputFcn', @tops_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(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 tops is made visible.
function tops_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 tops (see VARARGIN)
% Choose default command line output for tops
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes tops wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = tops_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 pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global im;
cla (handles.axes1,'reset')
cla (handles.axes2,'reset')
set(handles.edit1,'string',num2str(0));
set(handles.edit2,'string',num2str(0));
set(handles.edit3,'string',num2str(0));
load CNNmask.mat
axes(handles.axes1);
[filename,pathname]=uigetfile({'*.bmp;*.jpg;*.png;*.jpeg;*.tif'},'选择一个图片','F:\test');
str=[pathname filename];
% 判断文件是否为空，也可以不用这个操作！直接读入图片也可以的
% im = imread(str);
% imshow(im)
if isequal(filename,0)||isequal(pathname,0)
warndlg('please select a picture first!','warning');
return;
else
im = imread(str);
imshow(im);
end
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global im;
load CNNmask.mat
img_size = [227,227];
frameCount = 0;
FDetect = vision.CascadeObjectDetector;
picture = im;
orig_picture = picture;
BB = step(FDetect, picture);
frameCount = frameCount+1;
axes(handles.axes2);
cnt0=0;
cnt1=0;
if size(BB,1) >= 1
for faces_iter = 1:size(BB,1)
picture_cropped = imcrop(orig_picture,BB(faces_iter,:));
picture_resized = imresize(picture_cropped,img_size);
label = classify(net, picture_resized);
label_text = char(label);
if strcmp(label_text, 'no_mask')
text_color = 'red';
line_color{faces_iter} = 'r';
cnt0=cnt0+1;
end
if strcmp(label_text, 'mask')
text_color = 'green';
line_color{faces_iter} = 'g';
cnt1=cnt1+1;
end
label_text
line_color
image(picture);
axis off;
end
for faces_iter = 1:size(BB,1)
rectangle('Position', BB(faces_iter,:), 'Linewidth',2,'LineStyle','-','EdgeColor',line_color{faces_iter});
hold on
end
else
image(picture);
picture = imresize(picture,img_size);
axis off
end
set(handles.edit1,'string',num2str(size(BB,1)));
set(handles.edit2,'string',num2str(cnt1));
set(handles.edit3,'string',num2str(cnt0));
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global vid;
global numFrames;
cla (handles.axes1,'reset')
cla (handles.axes2,'reset')
load CNNmask.mat
set(handles.edit1,'string',num2str(0));
set(handles.edit2,'string',num2str(0));
set(handles.edit3,'string',num2str(0));
axes(handles.axes1);
[filename,pathname]=uigetfile({'*.mp4'},'选择一个视频','F:\test');
str=[pathname filename];
% 判断文件是否为空，也可以不用这个操作！直接读入图片也可以的
% im = imread(str);
% imshow(im)
if isequal(filename,0)||isequal(pathname,0)
warndlg('please select a picture first!','warning');
return;
else
vid = VideoReader(str);
numFrames = vid.NumFrames;
for i = 1:1:numFrames
picture = read(vid,i);
image(picture);
drawnow;
end
end
% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
global vid;
global numFrames;
load CNNmask.mat
img_size = [227,227];
frameCount = 0;
FDetect = vision.CascadeObjectDetector;
axes(handles.axes2);
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