GAN Training: Error with augmented image datastore
20 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Nabiilah
il 2 Ago 2020
Modificato: Walter Roberson
il 3 Ago 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);
I've used the script from this example: https://uk.mathworks.com/help/deeplearning/ug/train-generative-adversarial-network.html
0 Commenti
Risposta accettata
Walter Roberson
il 2 Ago 2020
Modificato: Walter Roberson
il 3 Ago 2020
You presently have a mix of rgb and grayscale images and need to be consistent; the option can automatically convert
2 Commenti
Più risposte (0)
Vedere anche
Categorie
Scopri di più su Recognition, Object Detection, and Semantic Segmentation in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!