Calling the set of images in subfolder from augmented image datastore

Question

Rd 2020-10-30

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/631234-calling-the-set-of-images-in-subfolder-from-augmented-image-datastore

评论： Manoj Kumar Sharma 2022-9-16

I have the database contain 180 images in per subfolder. I have 10 subfolder. I have to assign first 60 images in each subfolder to XTrain1, next 60 images in each subfolder to XTrain2, next 60 images in each subfolder to XTrain3.

i have included my code here. Kindly help me to loop the folders.

imagefolder = 'C:\Users\manjurama\Desktop\study\PG\PROJECT\Finger vein database multiple copy\database_10';

imds = imageDatastore(imagefolder,'IncludeSubfolders',true,'LabelSource','foldernames');

numTrainFiles = 0.75;

imageSize = [227 227];

[XTrain,YTrain] = splitEachLabel(imds, numTrainFiles,'randomize');

XTrain = augmentedImageDatastore(imageSize,XTrain);

YTrain = augmentedImageDatastore(imageSize,YTrain);

XTrain1=XTrain(1:60);

XTrain2=XTrain(61:120);

XTrain3=XTrain(121:180);

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Answer 1

drummer 2020-10-30

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编辑：drummer 2020-10-30

在 MATLAB Online 中打开

By your last three lines, you can do the following:

Xtrain1 = XTrain.Files(1:60);
XTrain2 = XTrain.Files(61:120);
XTrain3 = XTrain.Files(121:160);

As you see, you're taking advantage of the augmentedImageDataStore properties. The Files, specifically. You can check them by typing your augmented variable in the command window:

>> XTrain

This is a workaround. You should work on getting each of your training files from different folders at different indexes as you mentioned.

Cheers

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Rd 2020-11-5

编辑：Rd 2020-11-5

Dear drummer,

I have tried as you tell. Also i have included the code that i have used.

close all; clear;

clc;

imagefolder = 'C:\Users\manjurama\Desktop\study\PG\PROJECT\Finger vein database multiple copy\database_10';

imds = imageDatastore(imagefolder,'IncludeSubfolders',true,'LabelSource','foldernames');

numTrainingFiles = 18;

[imdsTrain,imdsTest] = splitEachLabel(imds,numTrainingFiles);

[XTrain11, XTrain21, XTrain31] = splitEachLabel(imdsTrain, 0.333, 0.333, 0.333);

XTrain1 = augmentedImageDatastore([227 227],XTrain11);

XTrain2 = augmentedImageDatastore([227 227],XTrain21);

XTrain3 = augmentedImageDatastore([227 227],XTrain31);

classes = XTrain11.Labels; % retrieve the class information

%classes = categories(YTrain);

numClasses = numel(classes);

But it wont work.

Is there any option to use Exclude the specific files for training in

[imdsTrain,imdsTest] = splitEachLabel(imds,numTrainingFiles,"Exclude", abs(imds.Files)=0);

also let me know how to find the class information. (i.e) i need to store class information in classes.

Kindly help me to do this. Thanks.

drummer 2020-11-5

编辑：drummer 2020-11-5

在 MATLAB Online 中打开

So how did you instance your training and testing sets within database_10?

What I had in mind was like this:

yourPath/database_10/trainingSetFolder

and

yourPath/database_10/testing_SetFolder

Both folders would contain your 10 classes classification, respectively for training and testing of course.

So

trainingSetFolder/class1
trainingSetFolder/class2
.
.
.
trainingSetFolder/class10

Then, you would call imds

yourIMDS = imageDataStore(yourPath, 'IncludeSubfolders', true, ...
    'LabelSource', 'foldernames');

This way, you wouldn't mind about 1:60; 61:120 and 121: 180 as you have already mannualy separated the training set by the instance aforementioned.

See if it works.

----

Is there any option to use Exclude the specific files for training in

[imdsTrain,imdsTest] = splitEachLabel(imds,numTrainingFiles,"Exclude",(imds.Files)%10==0);

also let me know how to find the class information. (i.e) i need to store class information in classes.

There's always a workaround to do what you want in MATLAB.

Notice that the property Files is a cell array type, and you can call them by using indexes:

imds.Files(1)
imds.Files(2) % and so on...

You can play with the indexes if it is reasonable to work with them. You know your data better than anyone else. You could tell if it is reasonable to approach this way.

Otherwise, if the filename is relevant, than you have to play with the cell arrays. Perhaps transforming them to strings and then, perform strcmp to attend your criteria.

Cheers

Rd 2020-11-11

在 MATLAB Online 中打开

Dear drummer,

As you mentioned before, i split my imagefolder into training and testing image like

trainingSetFolder/class1

trainingSetFolder/class2

.

trainingSetFolder/class10

This is the code i have used

imagefolder = 'C:\Users\manjurama\Desktop\training and testing\Training';
XTrain = imageDatastore(imagefolder,'IncludeSubfolders',true,'LabelSource','foldernames');
[XTrain1,XTrain2,XTrain3] = splitEachLabel(XTrain, 0.33,0.33, 0.33, "randomized");
YTrain = XTrain1.Labels;