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<div align='center'> | ||
<img src='./docs/imgs/ppgan.jpg'> | ||
</div> | ||
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简体中文 | [English](./README_en.md) | ||
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# PaddleGAN | ||
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PaddleGAN 是一个基于飞桨的生成对抗网络开发工具包. | ||
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### 图片变换 | ||
<div align='center'> | ||
<img src='./docs/imgs/horse2zebra.gif'> | ||
</div> | ||
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### 妆容迁移 | ||
<div align='center'> | ||
<img src='./docs/imgs/makeup_shifter.png'> | ||
</div> | ||
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### 老视频修复 | ||
<div align='center'> | ||
<img src='./docs/imgs/color_sr_peking.gif'> | ||
</div> | ||
飞桨生成对抗网络开发套件--PaddleGAN,为开发者提供经典及前沿的生成对抗网络高性能实现,并支撑开发者快速构建、训练及部署生成对抗网络,以供学术、娱乐及产业应用。 | ||
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### 超分辨率 | ||
<div align='center'> | ||
<img src='./docs/imgs/sr_demo.png'> | ||
</div> | ||
GAN--生成对抗网络,被“卷积网络之父”**Yann LeCun(杨立昆)**誉为**「过去十年计算机科学领域最有趣的想法之一」**,是近年来火遍全网,AI研究者最为关注的深度学习技术方向之一。 | ||
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### 动作驱动 | ||
<div align='center'> | ||
<img src='./docs/imgs/first_order.gif'> | ||
<img src='./docs/imgs/ppgan.jpg'> | ||
</div> | ||
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特性: | ||
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- 高度的灵活性: | ||
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模块化设计,解耦各个网络组件,开发者轻松搭建、试用各种检测模型及优化策略,快速得到高性能、定制化的算法。 | ||
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- 丰富的应用: | ||
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PaddleGAN 提供了非常多的应用,比如说图像生成,图像修复,图像上色,视频补帧,人脸妆容迁移等. | ||
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## 安装 | ||
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请参考[安装文档](./docs/zh_CN/install.md)来进行PaddlePaddle和ppgan的安装 | ||
[![License](https://img.shields.io/badge/license-Apache%202-red.svg)](LICENSE)![python version](https://img.shields.io/badge/python-3.6+-orange.svg) | ||
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## 快速开始 | ||
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通过ppgan.app接口使用预训练模型: | ||
* 请确保您按照[安装文档](./docs/zh_CN/install.md)的说明正确安装了PaddlePaddle和PaddleGAN | ||
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* 通过ppgan.app接口使用预训练模型: | ||
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```python | ||
from ppgan.apps import RealSRPredictor | ||
sr = RealSRPredictor() | ||
sr.run("docs/imgs/monarch.png") | ||
``` | ||
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更多训练、评估教程参考: | ||
* 更多训练、评估教程: | ||
* [数据准备](./docs/zh_CN/data_prepare.md) | ||
* [训练/评估/推理教程](./docs/zh_CN/get_started.md) | ||
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- [数据准备](./docs/zh_CN/data_prepare.md) | ||
- [训练/评估/推理教程](./docs/zh_CN/get_started.md) | ||
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## 模型教程 | ||
## 经典模型实现 | ||
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* [Pixel2Pixel](./docs/zh_CN/tutorials/pix2pix_cyclegan.md) | ||
* [CycleGAN](./docs/zh_CN/tutorials/pix2pix_cyclegan.md) | ||
* [PSGAN](./docs/zh_CN/tutorials/psgan.md) | ||
* [First Order Motion Model](./docs/zh_CN/tutorials/motion_driving.md) | ||
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## 复合应用 | ||
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* [视频修复](./docs/zh_CN/tutorials/video_restore.md) | ||
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## 在线体验 | ||
## 在线教程 | ||
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通过[AI Studio实训平台](https://aistudio.baidu.com/aistudio/index)在线体验: | ||
您可以通过[人工智能学习与实训社区AI Studio](https://aistudio.baidu.com/aistudio/index) 的示例工程在线体验PaddleGAN的部分能力: | ||
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|在线教程 | 链接 | | ||
|--------------|-----------| | ||
|老北京视频修复|[点击体验](https://aistudio.baidu.com/aistudio/projectdetail/1161285)| | ||
|表情动作迁移-当苏大强唱起unravel |[点击体验](https://aistudio.baidu.com/aistudio/projectdetail/1048840)| | ||
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## 效果展示 | ||
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### 图片变换 | ||
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<div align='center'> | ||
<img src='./docs/imgs/horse2zebra.gif'width='700' height='200'/> | ||
</div> | ||
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### 老视频修复 | ||
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<div align='center'> | ||
<img src='./docs/imgs/color_sr_peking.gif' width='700'/> | ||
</div> | ||
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### 动作迁移 | ||
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<div align='center'> | ||
<img src='./docs/imgs/first_order.gif'/> | ||
</div> | ||
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### 超分辨率 | ||
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<div align='center'> | ||
<img src='./docs/imgs/sr_demo.png'width='700' height='250'/> | ||
</div> | ||
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### 妆容迁移 | ||
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<div align='center'> | ||
<img src='./docs/imgs/makeup_shifter.png'width='700' height='250'/> | ||
</div> | ||
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## 版本更新 | ||
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- v0.1.0 (2020.11.02) | ||
- 初版发布,支持Pixel2Pixel、CycleGAN、PSGAN模型,支持视频插针、超分、老照片/视频上色、视频动作生成等应用。 | ||
- 模块化设计,接口简单易用。 | ||
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## PaddleGAN 特别兴趣小组(Special Interest Group) | ||
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最早于1961年被[ACM(Association for Computing Machinery)](https://en.wikipedia.org/wiki/Association_for_Computing_Machinery)首次提出并使用,国际顶尖开源组织包括[Kubernates](https://kubernetes.io/)都采用SIGs的形式,使拥有同样特定兴趣的成员可以共同分享、学习知识并进行项目开发。这些成员不需要在同一国家/地区、同一个组织,只要大家志同道合,都可以奔着相同的目标一同学习、工作、玩耍~ | ||
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PaddleGAN SIG就是这样一个汇集对GAN感兴趣小伙伴们的开发者组织,在这里,有百度飞桨的一线开发人员、有来自世界500强的资深工程师、有国内外顶尖高校的学生。 | ||
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我们正在持续招募有兴趣、有能力的开发者加入我们一起共同建设本项目,并一起探索更多有用、有趣的应用。 | ||
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[PaddleGAN QQ 群号:1058398620] | ||
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<div align='center'> | ||
<img src='./docs/imgs/qq.png'width='250' height='300'/> | ||
</div> | ||
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## 贡献代码 | ||
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我们非常欢迎您可以为PaddleGAN提供任何贡献和建议。大多数贡献都需要同意参与者许可协议(CLA)。当提交拉取请求时,CLA机器人会自动检查您是否需要提供CLA。 只需要按照机器人提供的说明进行操作即可。CLA只需要同意一次,就能应用到所有的代码仓库上。关于更多的流程请参考[贡献指南](docs/zh_CN/contribute.md)。 | ||
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## 许可证书 | ||
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本项目的发布受[Apache 2.0 license](LICENSE)许可认证。 |
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