How to split an image datastore for cross-validation?
显示 更早的评论
Hello,
The method
splitEachLabel
of an
imageDatastore
object splits an image data store into proportions per category label. How can one split an image data store for training using cross-validation and using the
trainImageCategoryCalssifier
class?
I.e. it's easy to split it in N partitions, but then some sort of mergeEachLabel functionality is needed to be able to train a classifier using cross-validation. Or is there another way of achieving that?
Regards, Elena
2 个评论
kowshik Thopalli
2017-2-26
I am looking for an answer to a similar problem. Did you solve it?
Tripoli Settou
2018-4-19
I am also looking for an answer to a similar problem. Did you solve it?
采纳的回答
Hamza Mehboob
2018-7-27
[imd1 imd2 imd3 imd4 imd5 imd6 imd7 imd8 imd9 imd10] = splitEachLabel(imds,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,'randomize');
partStores{1} = imd1.Files ;
partStores{2} = imd2.Files ;
partStores{3} = imd3.Files ;
partStores{4} = imd4.Files ;
partStores{5} = imd5.Files ;
partStores{6} = imd6.Files ;
partStores{7} = imd7.Files ;
partStores{8} = imd8.Files ;
partStores{9} = imd9.Files ;
partStores{10} = imd10.Files;
for i = 1 :k
i
test_idx = (idx == i);
train_idx = ~test_idx;
imdsTest = imageDatastore(partStores{test_idx}, 'IncludeSubfolders', true,'FileExtensions','.jpeg', 'LabelSource', 'foldernames');
imdsTrain = imageDatastore(cat(1, partStores{train_idx}), 'IncludeSubfolders', true,'FileExtensions','.jpeg', 'LabelSource', 'foldernames');
%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%%%%%%%%%%%%%%%%%%%%%%
%%%%%Write your classification task
%%%%hamzamehboob103@gmail.com for any further help.
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}
4 个评论
Sajja Tulasi Krishna
2019-4-3
what is idx and k here
Hamza Mehboob
2019-4-3
k = 10
idx = crossvalind('Kfold', k, k);
TRIPTI GOEL
2020-6-5
thank you for the code.
Sajja Tulasi Krishna
2021-2-22
Thanq for clear doubt @Hamza Mehboob
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