Context: I am trying to make a GAN to generate images from a large dataset, and have been running into OOM issues when loading in the training data. In an effort to solve this, I am trying to pass in a list of file directories and read them in as images only when needed. Issue: I do not know how
Tag: generative-adversarial-network
Stylegan2-ada tfrecords – ValueError: axes don’t match array, images will work one run and not work the next
I’m working on training a GAN through Google Colab with a dataset of photos I scraped from Wikiart and converted to 1024×1024, but keep getting this error when creating the tfrecords: I set it to print out what files it would stall on, and began taking those out of the data set; but what it stalls on seems completely random.
Easiest way to see the output of a hidden layer in Tensorflow/Keras?
I am working on a GAN and I’m trying to diagnose how any why mode collapse occurs. I want to be able to look “under the hood” and see what the outputs of various layers in the network look like for the last minibatch. I saw you can do something like model.layers[5].output, but this produces a tensor of shape [None,