画像解析の結果について

Question

save me 2024-9-20

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2154090-

回答： Naoya 2024-9-23

DeepLearningToolboxを使用しています。

下記より使用コード

digitDatasetPath = fullfile('C:\Users\2111105\Desktop\gazou1-7');
imds = imageDatastore(digitDatasetPath,...
    'IncludeSubfolders',true,'LabelSource','foldernames');
figure;
perm=randperm(1010,50);
for i=1:50
    subplot(5,10,i);
    imshow(imds.Files{perm(i)});
end
labelCount=countEachLabel(imds);
jpg=readimage(imds,1);
size(jpg)
numTrainFiles = 7;
[imdsTrain, imdsValidation] = splitEachLabel(imds, numTrainFiles, ...
    'randomize');
layers = [
    imageInputLayer([150 900 3])
    convolution2dLayer(3,8, 'Padding','same')
    batchNormalizationLayer
    reluLayer
    maxPooling2dLayer(2,'Stride',2)
    convolution2dLayer(3,8, 'Padding', 'same')
    batchNormalizationLayer
    reluLayer
    maxPooling2dLayer(2,'Stride',2)
    convolution2dLayer(3,32,'padding', 'same')
    batchNormalizationLayer
    reluLayer
    fullyConnectedLayer(101)
    softmaxLayer
    classificationLayer];
options = trainingOptions ('sgdm','InitialLearnRate',0.01,...
    'MaxEpochs',20,'Shuffle','every-epoch','ValidationData',imdsValidation, ...
    'ValidationFrequency',1,'Verbose',false,'Plots','training-progress');
net = trainNetwork(imdsTrain,layers,options);
YPred = classify(net,imdsValidation);
YValidation = imdsValidation.Labels;
accuracy = sum(YPred == YValidation)/numel(YValidation);