- Call the images one by one
- Do resize
- Save in the different folder
Ho do I change my dataset of images to the same size?
6 views (last 30 days)
Show older comments
Abdulaziz Alotaibi
on 18 Feb 2021
Edited: KALYAN ACHARJYA
on 18 Feb 2021
Hello everyone,
I'm building a CNN model, but first I would like to control the images saiz
since all the dataset images aize are 40*24*1 , and I would like to change it to like 100*60*1
How do I do that ?
this is my code:
clear;
clc;
outputFolder = fullfile("binary_dataset");
rootFolder = fullfile(outputFolder, "Categories");
categories = {'Anomaly','No-Anomaly'}; % names of the folders
imds = imageDatastore(fullfile(rootFolder,categories),'LabelSource','foldernames');
tbl = countEachLabel(imds);
[imdsTrain,imdsValidation] = splitEachLabel(imds, 0.8, 'randomize');
inputSize = [40 24 1];
numClasses = 2;
layers = [
imageInputLayer(inputSize)
convolution2dLayer(5,20,'Padding',1)
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(5,20,'Padding',1)
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(5,20,'Padding',1)
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer];
options = trainingOptions('adam', ...
'MaxEpochs',1, ...
'ValidationData',imdsValidation, ...
'ValidationFrequency',30, ...
'Verbose',false, ...
'Plots','training-progress');
net = trainNetwork(imdsTrain,layers,options);
YPred = classify(net,imdsValidation);
YValidation = imdsValidation.Labels;
accuracy = mean(YPred == YValidation)
0 Comments
Accepted Answer
KALYAN ACHARJYA
on 18 Feb 2021
Edited: KALYAN ACHARJYA
on 18 Feb 2021
Steps:
Later use those folder images (resize images) in CNN
2 Comments
More Answers (0)
See Also
Categories
Find more on Image Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!