Specify Output Class For GAN Image Generator

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james flynn
james flynn 2021-4-17
评论： Mahesh Taparia 2021-9-15
In MATLAB's 'Train Generative Adversarial Network' example, the final step is to generate new images using the predict function and the following code.
%% Generate New Images
numObservations = 25;
ZNew = randn(numLatentInputs,numObservations,'single');
dlZNew = dlarray(ZNew,'CB');
if (executionEnvironment == "auto" && canUseGPU) || executionEnvironment == "gpu"
dlZNew = gpuArray(dlZNew);
end
dlXGeneratedNew = predict(dlnetGenerator,dlZNew);
I = imtile(extractdata(dlXGeneratedNew));
I = rescale(I);
figure
image(I)
axis off
title("Generated Images")
The example produces a random sample of 25 images from 5 classes. I want to modify this to request one image from a specific class. For example, generate 5 images for the 'Dandilion' class. Can someone help me understand if it's possible to request specific generator outputs like this? Thanks in advance.

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Mahesh Taparia
Mahesh Taparia 2021-4-21
Hi
You can possibly try with conditional GAN to generate images of a particular class. For more information, you can refer this documentation of conditional GAN. You can refer here for image generation.
  2 个评论
Nagwa megahed
Nagwa megahed 2021-9-13
Thanxs for your comment , can i ask you aquestion according to GAN ?
I hope to find the answer with you
how can i save the synthetic images( the generated images by GAN) in the disk space,
in other words, how can i save these images in a folder to use it in training a deep network ?
the example here , doesn't show the way

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