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
Faster R-CNN是一种基于Region proposal network（RPN）和Fast R-CNN的深度学习目标检测算法。该算法主要由两部分组成：RPN网络和Fast R-CNN网络。 基于Faster R-CNN网络的火灾识别系统是一种利用深度学习算法实现火灾检测的方法，具有较高的准确性和效率。该系统的核心是Faster R-CNN算法，该算法主要由RPN网络和Fast R-CNN网络组成，可以对输入图像中的每个区域进行特征提取并输出目标检测结果。
4.部分源码
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% --- 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.edit5,'string',num2str(0));
set(handles.edit6,'string',num2str(0));
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 net015.mat
In_layer_Size = [224 224 3];
I = im;
I = imresize(I,In_layer_Size(1:2));
[bboxes,scores] = detect(detector,I);
if isempty(bboxes)==0
I1 = insertObjectAnnotation(I,'rectangle',bboxes,scores);
axes(handles.axes2);
imshow(I1)
else
I1 = I;
axes(handles.axes2);
imshow(I1)
end
bboxes
scores
set(handles.edit1,'string',num2str((bboxes(1))));
set(handles.edit6,'string',num2str((bboxes(2))));
set(handles.edit2,'string',num2str((bboxes(3))*(bboxes(4))));
set(handles.edit5,'string',num2str(max(scores)));
% --- Executes on button press in pushbutton3.
% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
clc;
clear;
close all;
function edit1_Callback(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'String') returns contents of edit1 as text
% str2double(get(hObject,'String')) returns contents of edit1 as a double
% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
........................................................................................
% Hint: edit controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
0Y_006m
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