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This is an implementation of Deep Convolutional Generative Adversarial Networks. Looking for Text to Image Synthesis? click here
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For earlier version, please check dcgan release and tensorlayer
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For more computer vision applications, check TLXCV
🔥🔥🔥🔥🔥🔥 You need install TensorLayerX at first!
🔥🔥🔥🔥🔥🔥 Please install TensorLayerX via source
pip install tensorlayerx
or
pip install git+https://github.com/tensorlayer/tensorlayerx.git
First, download the aligned face images from google or baidu to a data
folder.
Please place dataset 'img_align_celeba.zip' under 'data/celebA/' by default.
Your directory structure should look like this:
dcgan/
└── data.py
└── model.py
└── train.py
└── README.md
└── data
└── celebA
└── img_align_celeba.zip
Second, train the GAN:
$ python train.py
![](/tensorlayer/DCGAN/raw/master/img/result.png)