Created
October 3, 2020 23:04
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parentDir = '~/Desktop/omg_deep_learning/'; | |
dataDir = 'ehza_datasets_COVID'; | |
allImages = imageDatastore(fullfile(parentDir, dataDir),'IncludeSubfolders',true, 'LabelSource', 'foldername'); | |
[imgsTrain, imgsValidation] = splitEachLabel(allImages, 0.80, 'randomized'); | |
disp(['Number of training images: ', num2str(numel(imgsTrain.Files))]); | |
disp(['Number of validation images: ', num2str(numel(imgsValidation.Files))]); | |
net = googlenet; | |
layers = net.Layers; | |
inputSize = net.Layers(1).InputSize; | |
lgraph = layerGraph(net); | |
numClasses = numel(categories(imgsTrain.Labels)); | |
newLearnableLayer = fullyConnectedLayer(numClasses, ... | |
'Name','new_fc', ... | |
'WeightLearnRateFactor',10, ... | |
'BiasLearnRateFactor',10); | |
lgraph = replaceLayer(lgraph,'loss3-classifier',newLearnableLayer); | |
newClassLayer = classificationLayer('Name','new_classoutput'); | |
lgraph = replaceLayer(lgraph,'output',newClassLayer); | |
pixelRange = [-30 30]; | |
imageAugmenter = imageDataAugmenter( ... | |
'RandXReflection',true, ... | |
'RandXTranslation',pixelRange, ... | |
'RandYTranslation',pixelRange); | |
augimgsTrain = augmentedImageDatastore(inputSize(1:2),imgsTrain, ... | |
'DataAugmentation',imageAugmenter); | |
augimgsValidation = augmentedImageDatastore(inputSize(1:2),imgsValidation); | |
options = trainingOptions('sgdm', ... | |
'MiniBatchSize',90, ... | |
'MaxEpochs',1, ... | |
'InitialLearnRate',1e-4, ... | |
'Shuffle','every-epoch', ... | |
'ValidationData',augimgsValidation, ... | |
'ValidationFrequency',3, ... | |
'Verbose',true, ... | |
'ExecutionEnvironment', 'parallel', ... | |
'Plots','training-progress'); | |
netTransfer = trainNetwork(augimgsTrain,lgraph,options); | |
trueLabels = imgsValidation.Labels; | |
[YPred, probs] = classify(netTransfer, augimgsValidation); | |
accuracy = mean(YPred == trueLabels); | |
plotconfusion(trueLabels, YPred); |
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