Is it possible to incorporate a Neural Network into an app created from the Matlab App Designer?
MATLAB: Neural Network in Matlab App Designer
app designerDeep Learning ToolboxMATLABneural network
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Hi Malina,
Refer to following discussion which are similar to your issue:
Hope it helps!
You need add a property to pass that variable between functions.
In Code Browser panel in Code View, click Properties and click plus icon.
In properties, you can add a property, for example, variable name is filepath.
properties (Access = private) filepath % file path
net % Trained Neural Network
endAfter that, change your code as below.
function startupfunc(app) app.net = load("xraycat.mat"); app.net = app.net.net;end% Button pushed function: UploadImageButton
function UploadImageButtonPushed(app, event) [File_Name, Path_Name] = uigetfile('PATHNAME'); app.filepath = fullfile(Path_Name,File_Name); imshow(app.filepath,'Parent',app.UIAxes);end% Button pushed function: AnalyzeImageButton
function AnalyzeImageButtonPushed(app, event) imds = imageDatastore(app.filepath); [YPred, Scores] = classify(app.net, imds); % or,
% YPred = predict(app.net, imds);
% or, for SVM classification
% im = imread(app.filepath);
% featureLayer = 'fc7'; % For AlexNet
% imageFeatures = activations(app.net, im, featureLayer);
% [YPred, Scores] = predict(app.net, imageFeatures);
imshow([YPred, Scores],'Parent', app.UIAxes2);endI'm not sure which predict function you're using because there are some functions in MATLAB such as
- Deep Learning Toolbox's predict (https://www.mathworks.com/help/deeplearning/ref/predict.html) which returns YPred.
- Deep Learning Toolbox's classify (https://www.mathworks.com/help/deeplearning/ref/classify.html) which returns YPred and Scores.
- Statistics and Machine Learning Toolbox's SVM predict (https://www.mathworks.com/help/stats/classificationlinear.predict.html) which returns YPred and Scores.
But none of them can allow image's file path, so I changed your second input argument to imageDatastore in the above code.
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