GAN Training: Error with augmented image datastore

29 vues (au cours des 30 derniers jours)
Nabiilah
Nabiilah le 2 Août 2020
Hi, I had this script running with one dataabse, however the generated images were far too pixelated, so I decided to switch the database to another(and nothing else) and now I'm getting the below error. I'm new to this, could I please have some help debugging it?
Error using augmentedImageDatastore/applyAugmentationPipeline (line 391)
augmentedImageDatastore cannot form MiniBatches of data because input image sizes differ in 3rd
dimension. Consider using 'ColorPreprocessing' option to ensure all augmented images have same
number of channels.
Error in augmentedImageDatastore>@(c)self.applyAugmentationPipeline(c) (line 372)
Xout = cellfun(@(c) self.applyAugmentationPipeline(c),X,'UniformOutput',false);
Error in augmentedImageDatastore/applyAugmentationPipelineToBatch (line 372)
Xout = cellfun(@(c) self.applyAugmentationPipeline(c),X,'UniformOutput',false);
Error in augmentedImageDatastore/read (line 308)
input = self.applyAugmentationPipelineToBatch(input);
Error in GANUTKFace (line 168)
data = read(augimds);

Réponse acceptée

Walter Roberson
Walter Roberson le 2 Août 2020
Modifié(e) : Walter Roberson le 3 Août 2020
You presently have a mix of rgb and grayscale images and need to be consistent; the option can automatically convert
  2 commentaires
Nabiilah
Nabiilah le 3 Août 2020
Thank you for clarifying that, where in the script would I specify this option please?
Nabiilah
Nabiilah le 3 Août 2020
Modifié(e) : Nabiilah le 3 Août 2020
I got it to work by adding the ColorReprocessing option to the below:
%Augment the data to include random horizontal flipping and to resize the image to 64x64
augmenter = imageDataAugmenter('RandXReflection', true);
augimds = augmentedImageDatastore([64 64], imds,'ColorPreprocessing', 'gray2rgb', 'DataAugmentation', augmenter);
Thank you :)

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