How can i divide the generated images so i can have them seperated instead of having them all in one image?

4 Comments

Actually instead of dividing them, how can i generete them from the beggining as different images?
It depends on what is your data and how you plot them. Post your data/code.
I use the code from this link https://www.mathworks.com/help/deeplearning/ug/train-generative-adversarial-network.html , just with different images.
The example code generates images
XGeneratedNew = predict(netG,ZNew);
All generated images are stored in the variable XGeneratedNew. To display the image in tled format, the example code performs the following
% Display the images.
I = imtile(extractdata(XGeneratedNew));
I = rescale(I);
Instead of tiled format, you can plot individual images by looking the data from "predict"
x = extractdata(XGeneratedNew)

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 Accepted Answer

Chunru
Chunru on 28 Jun 2022
Edited: Chunru on 29 Jun 2022
x = imread('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1048515/image.jpeg');
figure;
imshow(x)
% divide image into two
m = size(x, 2)
m = 1396
x1 = x(:, 1:m/2, :);
x2 = x(:, m/2+1:end, :);
x1 = x1(50:464, 187:647, :);
figure; imshow(x1); hold on
%xline(187); xline(647); yline(50); yline(464)
figure; imshow(x2);
[m1, m2, m3] = size(x1);
m1new = floor(m1/5); m2new = floor(m2/5);
for i=1:5
for j=1:5
y{j, i} = x1((i-1)*m1new+(1:m1new), (j-1)*m2new+(1:m2new));
end
end
figure
montage(y, BorderSize = [5,5])
%whos

2 Comments

Actually i want to divide your x1 image into 25 seperate images, thank you.
See the update above.

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Asked:

on 28 Jun 2022

Commented:

on 29 Jun 2022

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