I am attempting to declutter my MATLAB app code by separating some of the initialization into separate .m files. For this I have set up various files for each type of component (e.g. a file for buttons, graph, etc.). I am attempting to access a function in my master initialize file from the file for buttons. My code goes as follows in the buttons .m file goes as follow: classdef buttons < handle methods %initializes the UI function buttonCreate(app) %Create file load 1 app.fileload1 = uibutton(app.gridLayout, 'push'); app.fileload1.FontSize = 36; app.fileload1.Layout.Row = [8 9]; app.fileload1.Layout.Column = 1; app.fileload1.Text = 'Load 1'; %proceeds to create the rest of the buttons end end end Now I attempt to access the buttonCreate() function in my master initialize file initialize.m : classdef initialize < handle prop
Hi, I'm having some problems with a bench of chest xray images. I tryed to use the code from the link below, but it did not work.
Error using trainNetwork (line 165)
Unexpected image size: All images must have the same size.
Error in chestXray1 (line 49)
net = trainNetwork(imdsTrain,layers,options);
inputSize = [224 224 1];
numClasses = 2;
layers = [
imageInputLayer(inputSize)
convolution2dLayer(5,20)
batchNormalizationLayer
reluLayer
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer];
options = trainingOptions('sgdm', ...
'MaxEpochs',3, ...
'ValidationData',imdsValidation, ...
'ValidationFrequency',30, ...
'Verbose',false, ...
'Plots','training-progress');
net = trainNetwork(imdsTrain,layers,options);
ANSWER
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You can use augmentedImageDataStore to resize all images to same size. Use the following code for your problem: dataChest = fullfile('/Users/andrebr4/Documents/MATLAB/chestXray/chest_xray');
imds = imageDatastore(dataChest, ...
'IncludeSubfolders',true, ...
'LabelSource','foldernames');
%% Dividir o conjunto de dados em cada categoria
numTrainingFiles = 750;
[imdsTrain,imdsValidation] = splitEachLabel(imds,numTrainingFiles,'randomize');
%%%%%%%code for resizing
inputSize=[224 224 1];
imdsTrain=augmentedImageDatastore(inputSize, imdsTrain,'ColorPreprocessing','rgb2gray');
imdsValidation=augmentedImageDatastore(inputSize, imdsValidation,'ColorPreprocessing','rgb2gray');
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You can use augmentedImageDataStore to resize all images to same size.
Use the following code for your problem:
dataChest = fullfile('/Users/andrebr4/Documents/MATLAB/chestXray/chest_xray');
imds = imageDatastore(dataChest, ...
'IncludeSubfolders',true, ...
'LabelSource','foldernames');
%% Dividir o conjunto de dados em cada categoria
numTrainingFiles = 750;
[imdsTrain,imdsValidation] = splitEachLabel(imds,numTrainingFiles,'randomize');
%%%%%%%code for resizing
inputSize=[224 224 1];
imdsTrain=augmentedImageDatastore(inputSize, imdsTrain,'ColorPreprocessing','rgb2gray');
imdsValidation=augmentedImageDatastore(inputSize, imdsValidation,'ColorPreprocessing','rgb2gray');
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