Classify the type of football! Image Classification | Kaggle

Dataset link: https://www.kaggle.com/eivindstroemsv...​ Extract Image Features Using Pretrained Network https://www.mathworks.com/help/deeple...

%Code to train the model:

clc;

clear all;

close all;

warning off;

net=alexnet;

layers=net.Layers;

featureLayer='fc7';

imds=imageDatastore('Training','IncludeSubFolders',true,'LabelSource','foldernames');

trainingLabels=imds.Labels;      

inputSize = net.Layers(1).InputSize;

augimdsTrain = augmentedImageDatastore(inputSize(1:2),imds);

featuresTrain = activations(net,augimdsTrain,featureLayer,'OutputAs','rows');

classifier=fitcecoc(featuresTrain,trainingLabels);

save classifier classifier

 

%Code to test the model:

clc

clear all

close all

warning off

load classifier;

net=alexnet;

featureLayer='fc7';

[filename, pathname] = uigetfile('*.*', 'Pick a MATLAB code file');

if isequal(filename,0) || isequal(pathname,0)

    disp('User pressed cancel')

else

    filename=strcat(pathname,filename);

    ab=imread(filename);

    ab=imresize(ab,[227 227]);

    featuresTrain = activations(net,ab,featureLayer,'OutputAs','rows');

    gs=predict(classifier,featuresTrain);

    disp(char(gs));

end

 

 %Code for GUI:

 

function varargout = Football(varargin)

gui_Singleton = 1;

gui_State = struct('gui_Name',       mfilename, ...

                   'gui_Singleton',  gui_Singleton, ...

                   'gui_OpeningFcn', @Football_OpeningFcn, ...

                   'gui_OutputFcn',  @Football_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 Football is made visible.

function Football_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 Football (see VARARGIN)

 

% Choose default command line output for Football

handles.output = hObject;

 

% Update handles structure

guidata(hObject, handles);

 

% UIWAIT makes Football wait for user response (see UIRESUME)

% uiwait(handles.figure1);

 

 

% --- Outputs from this function are returned to the command line.

function varargout = Football_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 Load_the_SVM_Classifier.

function Load_the_SVM_Classifier_Callback(hObject, eventdata, handles)

% hObject    handle to Load_the_SVM_Classifier (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

net=alexnet;

featureLayer='fc7';

load classifier;

handles.classifier = classifier;

handles.net = alexnet;

handles.featureLayer=featureLayer;

% Update handles structure

guidata(hObject, handles);

 

 

 

 

function Outcome_Callback(hObject, eventdata, handles)

% hObject    handle to Outcome (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 Outcome as text

%        str2double(get(hObject,'String')) returns contents of Outcome as a double

 

 

% --- Executes during object creation, after setting all properties.

function Outcome_CreateFcn(hObject, eventdata, handles)

% hObject    handle to Outcome (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

 

 

% --- Executes on button press in Select_an_Image.

function Select_an_Image_Callback(hObject, eventdata, handles)

% hObject    handle to Select_an_Image (see GCBO)

% eventdata  reserved - to be defined in a future version of MATLAB

% handles    structure with handles and user data (see GUIDATA)

net=handles.net;

featureLayer=handles.featureLayer;

classifier=handles.classifier;

[filename, pathname] = uigetfile('*.*', 'Pick a MATLAB code file');

filename=strcat(pathname,filename);

ab=imread(filename);

handles.axes1();

imshow(ab);

ab=imresize(ab,[227 227]);

featuresTrain = activations(net,ab,featureLayer,'OutputAs','rows');

gs=predict(classifier,featuresTrain);

bs=string(gs);

set(handles.Outcome,'String',bs);

 

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