Can anyone help me with this error?

Error using matlab.io.datastore.ImageDatastore/readimage (line 36)
Error using ReadFcn @(filename)readAndPreprocessImage(filename) function handle for file
E:\IndianCulturalEventRecognition\1\1.jpg.
Undefined function 'readAndPreprocessImage' for input arguments of type 'char'.
Error in CNN_main>@(filename)readAndPreprocessImage(filename)

Answer 1

[Walter Roberson]

Did you install https://www.mathworks.com/matlabcentral/fileexchange/57116-deep-learning-for-computer-vision-demo-code ?

[Aman Swaraj]

yes, it still shows the same error,

infact the entire error goes like this:

Error using matlab.io.datastore.ImageDatastore/readimage (line 36)
Error using ReadFcn @(filename)readAndPreprocessImage(filename) function handle for file
D:\IndianCulturalEventRecognition\1\100.jpg.

Undefined function 'readAndPreprocessImage' for input arguments of type 'char'.

Error in CNN_main>@(filename)readAndPreprocessImage(filename)

Error in nnet.internal.cnn.ImageDatastoreDispatcher (line 82)
            [this.ExampleImage, exampleInfo] = imageDatastore.readimage(1);

Error in nnet.internal.cnn.DataDispatcherFactory>iCreateImageDatastoreDispatcher (line 35)
dispatcher = nnet.internal.cnn.ImageDatastoreDispatcher( inputs, miniBatchSize, endOfEpoch,
precision );

Error in nnet.internal.cnn.DataDispatcherFactory.createDataDispatcher (line 23)
                dispatcher  = iCreateImageDatastoreDispatcher( inputs, miniBatchSize,
                endOfEpoch, precision );

Error in SeriesNetwork>iParseActivationInputs (line 426)
dispatcher = nnet.internal.cnn.DataDispatcherFactory.createDataDispatcher( ...

Error in SeriesNetwork/activations (line 249)
            [dispatcher, params] = iParseActivationInputs(X, precision, varargin{:});

Error in CNN_main (line 17)
 trainingFeatures1 = activations(convnet, trainingSet, featureLayer1, ...

[Aman Swaraj]

My original code:

rootFolder = fullfile( 'E:\MTECH STUFF\2ND YEAR\CBTC\IMPLEMENTATION\P3 PROJECT\CNN CODE & Support\IndianCulturalEventRecognition');  
categories = {'1','2'};
imds = imageDatastore(fullfile(rootFolder, categories), 'LabelSource', 'foldernames');
tbl = countEachLabel(imds);
minSetCount = min(tbl{:,2});
imds = splitEachLabel(imds, minSetCount, 'randomize');
countEachLabel(imds);
convnet=helperImportMatConvNet('imagenet-caffe-alex.mat');

disp('CNNhas been loaded');

%imds.ReadFcn = @(filename)readAndPreprocessImage_saliency(filename);
imds.ReadFcn = @(filename)readAndPreprocessImage(filename);
[trainingSet, testSet] = splitEachLabel(imds, 0.6, 'randomize');
featureLayer1 = 'fc7';
featureLayer2= 'fc6';

 trainingFeatures1 = activations(convnet, trainingSet, featureLayer1, ...
     'MiniBatchSize', 32, 'OutputAs', 'columns');
 trainingFeatures2 = activations(convnet, trainingSet, featureLayer2, ...
     'MiniBatchSize', 31, 'OutputAs', 'columns');
% trainingFeatures3 = activations(convnet, trainingSet, featureLayer3, ...
 %    'MiniBatchSize', 31, 'OutputAs', 'columns');
trainingFeatures = [trainingFeatures1;trainingFeatures2];
trainingLabels = trainingSet.Labels;

%%
testFeatures1 = activations(convnet, testSet, featureLayer1, 'MiniBatchSize',32);
testFeatures2 = activations(convnet, testSet, featureLayer2, 'MiniBatchSize',32);
%testFeatures3 = activations(convnet, testSet, featureLayer3, 'MiniBatchSize',32);
%%
testFeature = [testFeatures1,testFeatures2];
classifier = fitcecoc(trainingFeatures,trainingLabels,'Learners','Linear','Coding','onevsall','ObservationsIn','columns');

predictedLabels = predict(classifier, testFeature);
testLabels = testSet.Labels;

confMat = confusionmat(testLabels, predictedLabels);
confMat2 = bsxfun(@rdivide,confMat,sum(confMat,2));

[Aman Swaraj]

Thanks, now its working, the problem was with the path.