Current learning AlexNet Deep Learning, I am pretty sure my image size are correct but it seems that it doesn't acknowledge it.

Question

Charlene Rabulan 2022-9-14

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1804735-current-learning-alexnet-deep-learning-i-am-pretty-sure-my-image-size-are-correct-but-it-seems-that

评论： Charlene Rabulan 2022-9-14

The code:

alex = alexnet;
layers = alex.Layers;
layers(23) = fullyConnectedLayer(3);
layers(25) = classificationLayer;
allImages = imageDatastore('common weed images','IncludeSubfolders',true,'LabelSource','foldernames');
[trainingImages, testImages] = splitEachLabel(allImages,0.8,'randomized');
opts = trainingOptions("sgdm",'InitialLearnRate', 0.001 ,'MaxEpochs', 30,'MiniBatchSize', 64);
myNet = trainNetwork(trainingImages, layers, opts);

The ERROR:

Error using trainNetwork

The training images are of size 277×277×3 but the input layer expects images of size 227×227×3.

Error in transferLearning (line 18)

myNet = trainNetwork(trainingImages, layers, opts);

Tried using with augmentedimagedatastore:

alex = alexnet;
layers = alex.Layers;
layers(23) = fullyConnectedLayer(3);
layers(25) = classificationLayer;
allImages = imageDatastore('common weed images','IncludeSubfolders',true,'LabelSource','foldernames');
[trainingImages, testImages] = splitEachLabel(allImages,0.8,'randomized');
trainingImages = augmentedImageDatastore([277 277],trainingImages)
testImages = augmentedImageDatastore([277 277],testImages)
opts = trainingOptions('sgdm', 'InitialLearnRate', 0.001,...
    'MaxEpochs', 1, 'MiniBatchSize', 1);
myNet = trainNetwork(trainingImages, layers, opts);