incorrect input size of image

images = imageDatastore('call', 'IncludeSubfolders',true, 'LabelSource','foldernames');

[Training_image, Validation_image] = splitEachLabel(images, 0.6); %split images in 75, 25% use 'randomized' also

Input_Layer_Size = net.Layers(1).InputSize(1:2); % (1:2 = 1st 2 elemnts of input size), input layer size stored in this variable (Input_layer_size)

Resized_Training_image = augmentedImageDatastore(Input_Layer_Size, Training_image, 'ColorPreprocessing','gray2rgb');

net = trainNetwork(Resized_Training_image, New_Network, Training_Options) % training the network

trainall=[]

for i=1:2200

i

a=readimage(Resized_Training_image,i);

[m n c]=size(a);m

Error using DAGNetwork/activations (line 262)

The spatial dimension sizes [169 300 3] of the input images to layer 'input_1' must be greater than or equal to the corresponding

minimum input dimension sizes of the layer [224 224 3].

%% what should i do to insert the resized taining image in the for loop operation.

Answer 1

[Image Analyst]

Replace

a=readimage(Resized_Training_image,i);  
[m n c]=size(a);m

with

rgbImage = readimage(Resized_Training_image, i);
[rows, columns, numberOfColorChannels] = size(rgbImage);
fprintf('Original image #%d has %d rows, %d columns, and %d color channels.\n', ...
    i, rows, columns, numberOfColorChannels)
if rows ~= 224 || columns ~= 224
    % Need to resize laterally to 224 by 224.
    rgbImage = imresize(rgbImage, [224, 224]);
end
if numberOfColorChannels == 1
    % It's gray scale.  Need to convert to color.
    rgbImage = ind2rgb(rgbImage, gray(256));
end

[new_user]

trainall=[]

for i=1:2000

i

a = readimage(Resized_Training_image, i);

[rows, columns, numberOfColorChannels] = size(a);

fprintf('Original image #%d has %d rows, %d columns, and %d color channels.\n', ...

i, rows, columns, numberOfColorChannels)

if rows ~= 224 || columns ~= 224

% Need to resize laterally to 224 by 224.

a = imresize(a, [224, 224]);

end

if numberOfColorChannels == 1

% It's gray scale. Need to convert to color.

a = ind2rgb(a, gray(256));

end

%%%%%%%%%

layer175 = 'Animal Feature Learner';

featuresTrain1 = activations(net,a,layer175,'OutputAs','rows');

[rows_1, columns_1, numberOfColorChannels_1]=size(featuresTrain1);

%

% figure(1),

% subplot(10,10,i)

% imshow(a(1:mm,1:nn))

% title('features ')

%

% dftrain=trainFeatures>1;

trainall=[trainall;featuresTrain1];

end

Now It's showing error: Check for incorrect argument data type or missing argument in call to function 'readimage'.

[new_user]

@Image Analyst kindly sugest it's still showing error

[Image Analyst]

I don't know. It's difficult for me to reproduce without your images and your folder structure. But the error is now in readimage() which comes before any of my resizing code, so the error lies in your code. Maybe try reading the image this way instead

fullFileName = images.Files{i};
a = imread(fullFileName);

and again I ask you to use descriptive filenames. No one like looking at code that is an alphabet soup of single letter variables. It's maybe not so bad with a very short program but once you get dozens of lines, it can get confusing knowing what each letter actually represents without searching back over the code.