Error using trainNetwork. Unable to read file.

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Hassan Ashraf
Hassan Ashraf 2019-4-2
评论： Walter Roberson 2021-12-15
I am trying to implement CNN on signal's Data. I have a database in which I have 10 folders(Each folder has 12 subfolders). Each file has dimensions 12x2000 which is a .mat file. While running CNN on the above data I am facing below attached error. Can someone help me out?
location = 'C:\Users\AKRA\Desktop\New folder (3)';
imds = imageDatastore(location, 'FileExtensions', '.mat', 'IncludeSubfolders',1, ...
'LabelSource','foldernames');
labelCount = countEachLabel(imds)
img = readimage(imds,1);
size(img)
numTrainFiles = 8;
[imdsTrain,imdsValidation] = splitEachLabel(imds,numTrainFiles,'randomize');
layers = [
imageInputLayer([12 2000 1])
convolution2dLayer(3,8,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,16,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,32,'Padding','same')
batchNormalizationLayer
reluLayer
fullyConnectedLayer(10)
softmaxLayer
classificationLayer];
options = trainingOptions('sgdm', ...
'InitialLearnRate',0.01, ...
'MaxEpochs',4, ...
'Shuffle','every-epoch', ...
'ValidationData',imdsValidation, ...
'ValidationFrequency',30, ...
'Verbose',false, ...
'Plots','training-progress');
net = trainNetwork(imdsTrain,layers,options);
YPred = classify(net,imdsValidation);
YValidation = imdsValidation.Labels;
accuracy = sum(YPred == YValidation)/numel(YValidation)
Screenshot (9).png

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采纳的回答

Catalytic
Catalytic 2019-4-2
编辑：Catalytic 2019-4-2
I think it is expecting more traditional types of image files like .jpg,.png, etc.. I think for .mat you need to specify a specialized ReadFcn. Maybe this?
imds = imageDatastore(location, 'FileExtensions', '.mat', 'IncludeSubfolders',1, ...
'LabelSource','foldernames',...
'ReadFcn',@(f) getfield(load(f)),___);
  16 个评论
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Lan Anh
Lan Anh 2021-12-14
Hi Walter Roberson
The file only contains a single variable and the name of the variable to read from the file is always the same
Walter Roberson
Walter Roberson 2021-12-15
function S = matReader(filename)
data_struct = load(filename);
fields = fieldnames(data_struct);
S = data_struct.(fields{1});
end
This code will handle the case of exactly one variable in the file, no matter what the variable is named.

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更多回答（1 个）

Matt J
Matt J 2019-4-2
Maybe it's a corrupt file. Are you able to open CNN1.mat simply by using load?
  3 个评论
显示 1更早的评论
john karli
john karli 2021-11-17
hellow Hassan
I need your help. I am also trying to train model on .mat file. I do the same like you but i am facing some issue. I have tried the above code
imds = imageDatastore(location, 'FileExtensions', '.mat', 'IncludeSubfolders',1,...
'LabelSource','foldernames','ReadFcn',@matReader);
and my matReader is
function S = matReader(filename)
S = load(filename);
end
but when i run the following code
net = trainNetwork(imdsTrain,lgraph_1,options);
Error using trainNetwork (line 184)
Conversion to single from struct is not possible.
Caused by:
Error using cast
Conversion to single from struct is not possible.
Please assist i have also attached the image
Hassan Ashraf
Hassan Ashraf 2021-11-17
If its a struct file, then there must be different fields within that struct file. You need to specify which file (field) from that struct file to read. See my code to read and call the struct file
function I=readFcn1(filename)
I=load(filename);
I=I.S;
and on the other hand, this is how I am calling this function
location = 'C:\EMG\Test\Subject5\Day5';
test = imageDatastore(location, 'FileExtensions', '.mat', 'IncludeSubfolders',1, ...
'LabelSource','foldernames',...
'ReadFcn', @readFcn1);

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