Error using trainNetwork. Unable to read file.

16 vues (au cours des 30 derniers jours)
Hassan Ashraf
Hassan Ashraf le 2 Avr 2019
Commenté : Walter Roberson le 15 Déc 2021
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
  3 commentaires
Hassan Ashraf
Hassan Ashraf le 2 Avr 2019
What could be other options?
Catalytic
Catalytic le 2 Avr 2019
Modifié(e) : Catalytic le 2 Avr 2019

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Réponse acceptée

Catalytic
Catalytic le 2 Avr 2019
Modifié(e) : Catalytic le 2 Avr 2019
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 commentaires
Lan  Anh
Lan Anh le 14 Déc 2021
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 le 15 Déc 2021
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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Plus de réponses (1)

Matt J
Matt J le 2 Avr 2019
Maybe it's a corrupt file. Are you able to open CNN1.mat simply by using load?
  3 commentaires
john karli
john karli le 17 Nov 2021
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 le 17 Nov 2021
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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