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README
Apache-2.0
English | [简体中文](./README_cn.md) # PaddleGAN PaddleGAN is an development kit of Generative Adversarial Network based on PaddlePaddle. ### Image Translation ![](./docs/imgs/A2B.png) ![](./docs/imgs/B2A.png) ### Makeup shifter ![](./docs/imgs/makeup_shifter.png) ### Old video restore ![](./docs/imgs/color_sr_peking.gif) ### Super resolution ![](./docs/imgs/sr_demo.png) Features: - Highly Flexible: Components are designed to be modular. Model architectures, as well as data preprocess pipelines, can be easily customized with simple configuration changes. - Rich applications: PaddleGAN provides rich of applications, such as image generation, image restore, image colorization, video interpolate, makeup shifter. ## Install ### 1. install paddlepaddle PaddleGAN work with: * PaddlePaddle >= 2.0.0-rc * Python >= 3.5+ ``` pip install -U paddlepaddle-gpu ``` ### 2. install ppgan ``` python -m pip install 'git+https://github.com/PaddlePaddle/PaddleGAN.git' ``` Or install it from a local clone ``` git clone https://github.com/PaddlePaddle/PaddleGAN cd PaddleGAN pip install -v -e . # or "python setup.py develop" ``` ## Data Prepare Please refer to [data prepare](./docs/data_prepare.md) for dataset preparation. ## Get Start Please refer [get stated](./docs/get_started.md) for the basic usage of PaddleGAN. ## Model tutorial * [Pixel2Pixel and CycleGAN](./docs/tutorials/pix2pix_cyclegan.md) * [PSGAN](./docs/tutorials/psgan.md) * [Video restore](./docs/tutorails/video_restore.md) * [Motion driving](./docs/tutorials/motion_driving.md) ## License PaddleGAN is released under the [Apache 2.0 license](LICENSE). ## Contributing Contributions and suggestions are highly welcomed. Most contributions require you to agree to a [Contributor License Agreement (CLA)](https://cla-assistant.io/PaddlePaddle/PaddleGAN) declaring. When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA. Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA. For more, please reference [contribution guidelines](docs/CONTRIBUTE.md). ## External Projects External gan projects in the community that base on PaddlePaddle: + [PaddleGAN](https://github.com/PaddlePaddle/PaddleGAN)

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