Quantitative evaluation of the images generated by GAN
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Hi,
I run the codes at https://www.mathworks.com/help/deeplearning/ug/train-generative-adversarial-network.html
and want to evaluate the similarity of the generated images with their originals.
I wan to use these quantitative metrics: SSIM, Mean Square Error (MSE), or Peak Signal to Noise Ratio (PSNR).
So, I need two images: 1)Generated image, 2) The original image to match with the generated image
I used the following code to get each generated image separately
I = extractdata( dlXGeneratedNew );
img = I (:,:,:,idx);
But I don't know which original image should be used with which generated image.
Could you please help, how to do this quantitative evaluation?
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