how do i change the size of the image

Hi.

i want to train my data set(X-ray images) using googlenet..when i m tring to do m getting this error.Could you please help me..

Error using trainNetwork (line 184)

The training images are of size 224×224×1 but the input layer expects images of size 224×224×3.

Error in training (line 44)

net = trainNetwork(Resized_Training_Dataset, New_Network, Training_Options);

[KSSV]

You need to input 3D image..it seems you are trying to input gray images. Are you trying to use the pre trianed net or you are trying to train it?

[Asha kumar]

yes i m trying for gray images. yes m trying to train the data set

[Asha kumar]

would you help me

[KSSV]

Show us the whole code which you have tried.

[Asha kumar]

Dataset = imageDatastore('Dataset', 'IncludeSubfolders', true, 'LabelSource', 'foldernames');

[Training_Dataset, Validation_Dataset, Testing_Dataset] = splitEachLabel(Dataset, 0.7, 0.15, 0.15);

net = googlenet;

analyzeNetwork(net)

Input_Layer_Size = net.Layers(1).InputSize(1:2);

Resized_Training_Dataset = augmentedImageDatastore(Input_Layer_Size ,Training_Dataset);

Resized_Validation_Dataset = augmentedImageDatastore(Input_Layer_Size ,Validation_Dataset);

Resized_Testing_Dataset = augmentedImageDatastore(Input_Layer_Size ,Testing_Dataset);

Feature_Learner = net.Layers(142).Name;

Output_Classifier = net.Layers(144).Name;

Number_of_Classes = numel(categories(Training_Dataset.Labels));

New_Feature_Learner = fullyConnectedLayer(Number_of_Classes, ...

'Name', 'Vehicle Feature Learner', ...

'WeightLearnRateFactor', 10, ...

'BiasLearnRateFactor', 10);

New_Classifier_Layer = classificationLayer('Name', 'Thorax disease Classifier');

Network_Architecture = layerGraph(net);

New_Network = replaceLayer(Network_Architecture, Feature_Learner, New_Feature_Learner);

New_Network = replaceLayer(New_Network, Output_Classifier, New_Classifier_Layer);

analyzeNetwork(New_Network)

Minibatch_Size = 2;

Validation_Frequency = floor(numel(Resized_Training_Dataset.Files)/Minibatch_Size);

Training_Options = trainingOptions('sgdm', ...

'MiniBatchSize', Minibatch_Size, ...

'MaxEpochs', 6, ...

'InitialLearnRate', 3e-4, ...

'Shuffle', 'every-epoch', ...

'ValidationData', Resized_Validation_Dataset, ...

'ValidationFrequency', Validation_Frequency, ...

'Verbose', false, ...

'Plots', 'training-progress');

net = trainNetwork(Resized_Training_Dataset, New_Network, Training_Options);

Answer 1

[Image Analyst]

You're passing in a gray scale image when it wants a color image. When you resized them you also needed to convert them to color, like

rgbImage = cat(3, grayImage, grayImage, grayImage);

[Asha kumar]

i want to covert the whole dataset to color.. how can i do??

[Image Analyst]

Get code snippets in the FAQ:

How_can_I_process_a_sequence_of_files?

[Asha kumar]

okay.thank you

Answer 2

[Murad Alr]

Resized_Training_Image=augmentedImageDatastore(Input_Layer_Size,Training_Dataset,'ColorPreprocessing','gray2rgb');

Resized_Validation_Image=augmentedImageDatastore(Input_Layer_Size,Validation_Dataset,'ColorPreprocessing','gray2rgb');