features extraction for images with different features size in a matrix error?
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I am trying to extract features from a dataset of images the problem that the features extraction algorithm gives different features size for each image, for example, the first image 1000 features and the second 2000. and it gives me an error because of that when I try to store them in a matrix. what should I do??
imds=imageDatastore('E:\dataset test','IncludeSubFolders',true,'LabelSource','foldernames');
trainingFeatures=[];
[imds_5k, imds_extra] = splitEachLabel(imds,15);
trainingLabels=imds_5k.Labels;
for i = 1:numel(imds_5k.Files) % Read images using a for loop
img = readimage(imds_5k,i);
trainingFeatures(i,:) = example(img);
end
this is the error: Unable to perform assignment because the size of the left side is 1-by-86386 and the size of the right side is 1-by-73638.
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Ameer Hamza
2020-11-30
You can use a cell array
imds=imageDatastore('E:\dataset test','IncludeSubFolders',true,'LabelSource','foldernames');
[imds_5k, imds_extra] = splitEachLabel(imds,15);
trainingLabels=imds_5k.Labels;
trainingFeatures=cell(1,numel(imds_5k.Files));
for i = 1:numel(imds_5k.Files) % Read images using a for loop
img = readimage(imds_5k,i);
trainingFeatures{i} = example(img);
end
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