Hands-On Generative Adversarial Networks with PyTorch 1.x by John Hany

Author:John Hany [John Hany]
Language: eng
Format: epub
Tags: COM044000 - COMPUTERS / Neural Networks, COM037000 - COMPUTERS / Machine Theory, COM079010 - COMPUTERS / Social Aspects / Human-Computer Interaction
Publisher: Packt
Published: 2019-12-12T07:08:11+00:00

The authors of the paper have kindly provided the full source code for their work, which runs perfectly on PyTorch 1.3. The source code is also well organized. Therefore, we will use their code directly in order to train and evaluate the pix2pix model and learn how to organize our models in a different way.

First, open a Terminal and download the code for this section using the following command. This is also available under the pix2pix directory in this chapter's code repository:

$ git clone https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix.git

Then, install the prerequisites to be able to visualize the results during training:

$ pip install dominate visdom

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