models/
consists the cGAN models & visualizations.- run
train.py
to train on images stored indatasets/train
. - run
test.py
to generate colorization for images indatasets/test
. datasets/generated_Images
contains generated images and trained model weights.datasets/test
contains testing images.datasets/train
contains/put dataset for training.datasets/validation
contains validation set of images for training.
- run
-
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image colorization with generative adversarial networks (GAN) in Keras
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Talor-A/senior-project
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image colorization with generative adversarial networks (GAN) in Keras
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