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Generative Adversarial Network

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Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.

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open-mmlab / mmediting

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Reading data from S3

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jasoromir
jasoromir commented Jun 25, 2021

Hi! I was wondering if it is possible to read data from AWS S3 to train a model such as BasicVSR.

I have been reading the docs and all indicates it could be done by modifying my config file, and setting the backend option to "ceph" instead of the default "disk".

Then I sett the paths to:
lq_folder = "S3://my-bucket/my-dataset/lq_folder"
gt_folder = "S3://my-bucket/my-dataset/gt_folder"

But I ca

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enhancement good first issue s3

JiahuiYu / generative_inpainting

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Released June 10, 2014

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deep-learning neural-network