readme_fix (#870)

* fix_doc

* Update README.md

add

README.md

@@ -1,5 +1,4 @@
-[简体中文](./README_cn.md) | English
-
+简体中文| [English](./README.md)
 
 
 
@@ -7,139 +6,175 @@
 <p align="center">
   <img src="./docs/gui/images/paddlex.png" width="360" height ="55" alt="PaddleX" align="middle" />
 </p>
-
-
-<p align= "center"> PaddleX -- PaddlePaddle End-to-End Development Toolkit,
-  enables developers to implement real industry projects in a low-code form quickly </p>
+ <p align= "center"> PaddleX -- 飞桨全流程开发工具，以低代码的形式支持开发者快速实现产业实际项目落地 </p>
 
 [![License](https://img.shields.io/badge/license-Apache%202-red.svg)](LICENSE) [![Version](https://img.shields.io/github/release/PaddlePaddle/PaddleX.svg)](https://github.com/PaddlePaddle/PaddleX/releases) ![python version](https://img.shields.io/badge/python-3.6+-orange.svg) ![support os](https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-yellow.svg)
  ![QQGroup](https://img.shields.io/badge/QQ_Group-1045148026-52B6EF?style=social&logo=tencent-qq&logoColor=000&logoWidth=20)
 
 
-## PaddleX dynamic graph mode is ready! Static graph mode is set as default and dynamic graph code base is in [dygraph](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph). If you want to use static graph mode, the version 1.3.11 can be installed by pip. The version 2.0.0rc0 corresponds to the dynamic graph mode.
+## PaddleX全面升级动态图，动态图版本位于[dygraph](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph)中，欢迎用户点击体验
 
 
-:hugs:  PaddleX integrated the abilities of **Image classification**, **Object detection**, **Semantic segmentation**, and **Instance segmentation** in the Paddle CV toolkits, and get through the whole-process development from **Data preparation** and **Model training and optimization** to **Multi-end deployment**. At the same time, PaddleX provides **Succinct APIs** and a **Graphical User Interface**. Developers can quickly complete the end-to-end process development of the Paddle in a form of **low-code**  without installing different libraries.
+## :heart: 重磅功能升级提醒
+* 全新发布Manufacture SDK，提供工业级多端多平台部署加速的预编译飞桨部署开发包（SDK），通过配置业务逻辑流程文件即可以低代码方式快速完成推理部署，[欢迎体验](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/deploy/cpp)。
 
-**:factory: PaddleX** has been validated in a dozen of industry application scenarios such as **Quality Inspection**, **Security**, **Patrol Inspection**, **Remote Sensing**, **Retail**,  **Medical** etc.. In addition, it **provides a wealth of case practice tutorials**, to help developer could apply to actual cases easily.
+* PaddleX部署全面升级，支持飞桨视觉套件PaddleDetection、PaddleClas、PaddleSeg、PaddleX的统一部署能力，[欢迎体验](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/deploy/cpp)。
 
+:hugs: PaddleX 集成飞桨智能视觉领域**图像分类**、**目标检测**、**语义分割**、**实例分割**任务能力，将深度学习开发全流程从**数据准备**、**模型训练与优化**到**多端部署**端到端打通，并提供**统一任务API接口**及**图形化开发界面Demo**。开发者无需分别安装不同套件，以**低代码**的形式即可快速完成飞桨全流程开发。
 
+:factory: **PaddleX** 经过**质检**、**安防**、**巡检**、**遥感**、**零售**、**医疗**等十多个行业实际应用场景验证，沉淀产业实际经验，**并提供丰富的案例实践教程**，全程助力开发者产业实践落地。
 
-:heart: **You can go to [Complete PaddleX Online Documentation Contents](https://paddlex.readthedocs.io/zh_CN/develop_en/index.html) for complete tutorial with the format of *Read the Doc* and better reading experience​** :heart:
 
 
+:heart:**您可以前往  [完整PaddleX在线使用文档目录](https://paddlex.readthedocs.io/zh_CN/develop/index.html)  查看完整*Read the Doc* 格式的文档，获得更好的阅读体验**:heart:
 
-![](./docs/gui/images/paddlexoverview_en.jpg)
 
 
+![](./docs/gui/images/paddlexoverview.png)
 
-## Installation
 
-**PaddleX has two development modes to meet different needs of users:**
 
-1.**Python development mode:**
+## 安装
 
-The design of PaddleX Python API taking into account of comprehensive functions, development flexibility, and integration convenience, giving developers the smoothest deep learning development experience.
+**PaddleX提供三种开发模式，满足用户的不同需求：**
 
-**Pre-dependence**
+1. **Python开发模式：**
 
+   通过简洁易懂的Python API，在兼顾功能全面性、开发灵活性、集成方便性的基础上，给开发者最流畅的深度学习开发体验。<br>
+
+  **前置依赖**
 > - paddlepaddle >= 1.8.4
 > - python >= 3.6
 > - cython
 > - pycocotools
 
-You shuould use command of python3 and pip3 instead if you have python2 installed.
-
 ```
 pip install paddlex -i https://mirror.baidu.com/pypi/simple
 ```
-Please refer to the [PaddleX installation](https://paddlex.readthedocs.io/zh_CN/develop/install.html) for detailed installation method.
+详细安装方法请参考[PaddleX安装](https://paddlex.readthedocs.io/zh_CN/develop/install.html)
 
 
-2. **Padlde GUI(Graphical User Interface) mode:**
+2. **Padlde GUI模式：**
 
-It's a all-in-one client enable develops could implement deep learning projects without code.
+   无代码开发的可视化客户端，应用Paddle API实现，使开发者快速进行产业项目验证，并为用户开发自有深度学习软件/应用提供参照。
 
-- Go to [PaddleX Official Website](https://www.paddlepaddle.org.cn/paddle/paddlex) to download the all-in-one client.
+- 前往[PaddleX官网](https://www.paddlepaddle.org.cn/paddle/paddlex)，申请下载PaddleX GUI一键绿色安装包。
 
-- Go to [PaddleX GUI tutorial](./docs/gui/how_to_use.md ) for details of using it.
+- 前往[PaddleX GUI使用教程](./docs/gui/how_to_use.md)了解PaddleX GUI使用详情。
 
-- [PaddleX GUI Environment Requirements for Installation](./docs/gui/download.md)
+- [PaddleX GUI安装环境说明](./docs/gui/download.md)
 
+3. **PaddleX Restful:**  
+  使用基于RESTful API开发的GUI与Web Demo实现远程的深度学习全流程开发；同时开发者也可以基于RESTful API开发个性化的可视化界面
+- 前往[PaddleX RESTful API使用教程](./docs/gui/restful/introduction.md)  
 
-## Product Module Description
 
-- **Data preparation**: Compatible with common data protocols such as ImageNet, VOC, COCO, and seamlessly interconnecting with Labelme, Colabeler, and [EasyData intelligent data service platform](https://ai.baidu.com/easydata/), to help developers to quickly complete data preparations.
-- **Data pre-processing and enhancement**: Provides a minimalist image pre-processing and enhancement method--Transforms. Adapts imgaug which is a powerful image enhancement library, so that PaddleX could supports **Hundreds of data enhancement strategies**, which makes developers quickly alleviate the situation of traing with small sample dataset.
-- **Model training**: PaddleX integrates [PaddleClas](https://github.com/PaddlePaddle/PaddleClas), [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection), and [PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg) etcs. So it provides a large number of selected, industry-proven, high-quality pre-trained models, enabling developers to achieve the industry requirements much more quickly.
-- **Model tuning**: Model-interpretability module and [VisualDL](https://github.com/PaddlePaddle/VisualDL) visual analysis tool are integrated as well. It allows developers to understand the model's feature extraction region and the change of the training process parameters more intuitively , so as to quickly optimize the model.
-- **Multi-End Secure Deployment**: The built-in model compression tool-- [PaddleSlim](https://github.com/PaddlePaddle/PaddleSlim)  and **Model Encryption Deployment Module**, are seamlessly interconnected with native prediction library **Paddle Inference** and Multi-platform high performance deep learning inference engine-- [Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite) , to enable developers to quickly implement multi-end, high-performance, secure deployments of the model.
+## 产品模块说明
 
+- **数据准备**：兼容ImageNet、VOC、COCO等常用数据协议，同时与Labelme、精灵标注助手、[EasyData智能数据服务平台](https://ai.baidu.com/easydata/)等无缝衔接，全方位助力开发者更快完成数据准备工作。
 
+- **数据预处理及增强**：提供极简的图像预处理和增强方法--Transforms，适配imgaug图像增强库，支持**上百种数据增强策略**，是开发者快速缓解小样本数据训练的问题。
 
-## Full Documentation and API Description
+- **模型训练**：集成[PaddleClas](https://github.com/PaddlePaddle/PaddleClas), [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection), [PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg)视觉开发套件，提供大量精选的、经过产业实践的高质量预训练模型，使开发者更快实现工业级模型效果。
 
-- [Complete PaddleX online documentation contents](https://paddlex.readthedocs.io/zh_CN/develop_en/):heart:
+- **模型调优**：内置模型可解释性模块、[VisualDL](https://github.com/PaddlePaddle/VisualDL)可视化分析工具。使开发者可以更直观的理解模型的特征提取区域、训练过程参数变化，从而快速优化模型。
 
-- [10-Minute Quick Start Tutorial Series](https://paddlex.readthedocs.io/zh_CN/develop/quick_start.html)
-- [Collection of PaddleX Model Training Tutorials](https://paddlex.readthedocs.io/zh_CN/develop/train/index.html)
-- [PaddleX API Interface Description](https://paddlex.readthedocs.io/zh_CN/develop/apis/index.html)
+- **多端安全部署**：内置[PaddleSlim](https://github.com/PaddlePaddle/PaddleSlim)模型压缩工具和**模型加密部署模块**，与飞桨原生预测库Paddle Inference及高性能端侧推理引擎[Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite) 无缝打通，使开发者快速实现模型的多端、高性能、安全部署。
 
-### Examples of Online Projects
 
-To get developers up to speed with the PaddleX API, we've created a complete series of sample tutorials that you can run PaddleX projects online through the **AIStudio** quickly.
 
-- [PaddleX Quick Start - CV Model Training](https://aistudio.baidu.com/aistudio/projectdetail/450925)
-- [PaddleX Quick Start - MobileNetV3-ssld Cosmetics Classification](https://aistudio.baidu.com/aistudio/projectdetail/450220)
-- [PaddleX Quick Start - Faster-RCNN AI Bug Recognition](https://aistudio.baidu.com/aistudio/projectdetail/439888)
-- [PaddleX Quick Start - DeepLabv3+ Semantic Segmentation](https://aistudio.baidu.com/aistudio/projectdetail/440197)
+## 完整使用文档及API说明
 
+- [完整PaddleX在线使用文档目录](https://paddlex.readthedocs.io/zh_CN/develop/index.html):heart:
 
+- [10分钟快速上手系列教程](https://paddlex.readthedocs.io/zh_CN/develop/quick_start.html)
+- [PaddleX模型训练教程集合](https://paddlex.readthedocs.io/zh_CN/develop/train/index.html)
+- [PaddleX API接口说明](https://paddlex.readthedocs.io/zh_CN/develop/apis/index.html)
+- [PaddleX RESTful API说明](https://paddlex.readthedocs.io/zh_CN/develop/gui/restful/introduction.html)
 
-## Full Process Industry Applications:star:
+### 在线项目示例
 
-（continue to be updated）
+为了使开发者更快掌握PaddleX API，我们创建了一系列完整的示例教程，您可通过AIStudio一站式开发平台，快速在线运行PaddleX的项目。
 
-* Industrial inspections:
-  - [Industrial Meter Readings](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/meter_reader.html)
-* [Industrial quality control](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/industrial_quality_inspection/README.html)
-* Satellite Image Understanding:
-  * [RGB Satellite Image Segmentation](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/remote_sensing.html)
-  * [Multi-Channel Satellite Image Segmentation](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/multi-channel_remote_sensing/README.html)
-  * [Land Parcel Change Detection](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/change_detection.html)
-* [Portrait Segmentation](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/human_segmentation.html)
-* Multi-platform Deployment with Encryption
-  - [CPU/GPU (Encryption) deployment](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/server/index.html)
-  - [Deployment with OpenVINO toolkit](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/openvino/index.html)
-  - [Deploy on Nvidia Jetson](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/nvidia-jetson.html)
-  - [Deploy on Raspberry Pi](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/raspberry/index.html)
+- [PaddleX快速上手CV模型训练](https://aistudio.baidu.com/aistudio/projectdetail/450925)
+- [PaddleX快速上手——MobileNetV3-ssld 化妆品分类](https://aistudio.baidu.com/aistudio/projectdetail/450220)
+- [PaddleX快速上手——Faster-RCNN AI识虫](https://aistudio.baidu.com/aistudio/projectdetail/439888)
+- [PaddleX快速上手——DeepLabv3+ 视盘分割](https://aistudio.baidu.com/aistudio/projectdetail/440197)
 
+## 全流程产业应用案例:star:
 
+（continue to be updated）
+
+* 工业巡检：
+  * [工业表计读数](https://paddlex.readthedocs.io/zh_CN/develop/examples/meter_reader.html)
+* 工业质检：
+  - [铝材表面缺陷检测](https://paddlex.readthedocs.io/zh_CN/develop/examples/industrial_quality_inspection/README.html)
+  - [钢筋计数（动态图）](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/examples/rebar_count)
+  - [镜头缺陷检测（动态图）](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/examples/defect_detection)
+  - [机械手抓取（动态图）](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/examples/robot_grab)
+* 卫星遥感：
+  * [RGB遥感影像分割](https://paddlex.readthedocs.io/zh_CN/develop/examples/remote_sensing.html)
+  * [多通道遥感影像分割](https://paddlex.readthedocs.io/zh_CN/develop/examples/multi-channel_remote_sensing/README.html)
+  * [地块变化检测](https://paddlex.readthedocs.io/zh_CN/develop/examples/multi-channel_remote_sensing/README.html)
+* [人像分割](https://paddlex.readthedocs.io/zh_CN/develop/examples/human_segmentation.html)
+* 模型多端安全部署
+  * [CPU/GPU(加密)部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/server/index.html)
+  * [OpenVINO加速部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/openvino/index.html)
+  * [Nvidia Jetson开发板部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/jetson/index.html)
+  * [树莓派部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/raspberry/index.html)
+
+* [模型可解释性](https://paddlex.readthedocs.io/zh_CN/develop/appendix/interpret.html)
 
 ## :question:[FAQ](./docs/gui/faq.md):question:
 
+## 交流与反馈
 
+- 项目官网：https://www.paddlepaddle.org.cn/paddle/paddlex
 
-## Communication and Feedback
+- PaddleX用户交流群：957286141 (手机QQ扫描如下二维码快速加入)  
 
-- Project official website: https://www.paddlepaddle.org.cn/paddle/paddlex
-- PaddleX user group: 957286141 (Scan the following QR code on Mobile QQ to join quickly)
+  <p align="center">
+    <img src="./docs/gui/images/QR2.jpg" width="250" height ="360" alt="QR" align="middle" />
+  </p>
 
-<p align="center">
-  <img src="./docs/gui/images/QR2.jpg" width="250" height ="360" alt="QR" align="middle" />
-</p>
 
-## Release Note
 
-> [Complete Release Note](https://paddlex.readthedocs.io/zh_CN/develop/change_log.html)
-- 2020.12.20 v1.3.0
-- 2020.09.05 v1.2.0
-- 2020.07.13 v1.1.0
-- 2020.07.12 v1.0.8
-- 2020.05.20 v1.0.0
+## 更新日志
+
+> [历史版本及更新内容](https://paddlex.readthedocs.io/zh_CN/develop/change_log.html)
+- **2020.09.07 v1.2.0**
+
+  新增产业最实用目标检测模型PP-YOLO，FasterRCNN、MaskRCNN、YOLOv3、DeepLabv3p等模型新增内置COCO数据集预训练模型，适用于小模型精调。新增多种Backbone，优化体积及预测速度。优化OpenVINO、PaddleLite Android、服务端C++预测部署方案，新增树莓派部署方案等。
+
+- **2020.07.12 v1.1.0**
+
+  新增人像分割、工业标记读数案例。模型新增HRNet、FastSCNN、FasterRCNN，实例分割MaskRCNN新增Backbone HRNet。集成X2Paddle，PaddleX所有分类模型和语义分割模型支持导出为ONNX协议。新增模型加密Windows平台支持。新增Jetson、Paddle Lite模型部署预测方案。
+
+- **2020.05.20 v1.0.0**
+
+  新增C++和Python部署，模型加密部署，分类模型OpenVINO部署。新增模型可解释性接口
+
+- **2020.05.17 v0.1.8**
+
+  新增EasyData平台数据标注格式，支持imgaug数据增强库的pixel-level算子
+
+## 近期活动更新
+
+- 2020.12.16
+
+  《直击深度学习部署最后一公里 C#软件部署实战》b站直播中奖用户名单请点击[PaddleX直播中奖名单](./docs/luckydraw.md)查看~
+
+- 2020.12.09
+
+  往期直播《直击深度学习部署最后一公里 目标检测兴趣小组》回放链接：https://www.bilibili.com/video/BV1rp4y1q7ap?from=search&seid=105037779997274685
 
+## :hugs: 贡献代码:hugs:
 
+我们非常欢迎您为PaddleX贡献代码或者提供使用建议。如果您可以修复某个issue或者增加一个新功能，欢迎给我们提交Pull Requests。
 
-## :hugs: Contribution :hugs:
+### 开发者贡献项目
 
-You are welcomed to contribute codes to PaddleX or provide suggestions. If you can fix an issue or add a new feature, please feel free to submit Pull Requests.
+* [工业相机实时目标检测GUI](https://github.com/xmy0916/SoftwareofIndustrialCameraUsePaddle)
+（windows系统，基于pyqt5开发）
+* [工业相机实时目标检测GUI](https://github.com/LiKangyuLKY/PaddleXCsharp)
+（windows系统，基于C#开发）

README_cn.md

@@ -1,171 +0,0 @@
-简体中文| [English](./README.md)
-
-
-
-
-<p align="center">
-  <img src="./docs/gui/images/paddlex.png" width="360" height ="55" alt="PaddleX" align="middle" />
-</p>
- <p align= "center"> PaddleX -- 飞桨全流程开发工具，以低代码的形式支持开发者快速实现产业实际项目落地 </p>
-
-[![License](https://img.shields.io/badge/license-Apache%202-red.svg)](LICENSE) [![Version](https://img.shields.io/github/release/PaddlePaddle/PaddleX.svg)](https://github.com/PaddlePaddle/PaddleX/releases) ![python version](https://img.shields.io/badge/python-3.6+-orange.svg) ![support os](https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-yellow.svg)
- ![QQGroup](https://img.shields.io/badge/QQ_Group-1045148026-52B6EF?style=social&logo=tencent-qq&logoColor=000&logoWidth=20)
-
-
-## PaddleX全面升级动态图，目前默认使用静态图版本，动态图版本位于[dygraph](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph)中。pip安装1.3.10版本对应使用静态图版本，pip安装2.0.0rc0即使用动态图版本。
-
-:hugs: PaddleX 集成飞桨智能视觉领域**图像分类**、**目标检测**、**语义分割**、**实例分割**任务能力，将深度学习开发全流程从**数据准备**、**模型训练与优化**到**多端部署**端到端打通，并提供**统一任务API接口**及**图形化开发界面Demo**。开发者无需分别安装不同套件，以**低代码**的形式即可快速完成飞桨全流程开发。
-
-:factory: **PaddleX** 经过**质检**、**安防**、**巡检**、**遥感**、**零售**、**医疗**等十多个行业实际应用场景验证，沉淀产业实际经验，**并提供丰富的案例实践教程**，全程助力开发者产业实践落地。
-
-
-
-:heart:**您可以前往  [完整PaddleX在线使用文档目录](https://paddlex.readthedocs.io/zh_CN/develop/index.html)  查看完整*Read the Doc* 格式的文档，获得更好的阅读体验**:heart:
-
-
-
-![](./docs/gui/images/paddlexoverview.png)
-
-
-
-## 安装
-
-**PaddleX提供三种开发模式，满足用户的不同需求：**
-
-1. **Python开发模式：**
-
-   通过简洁易懂的Python API，在兼顾功能全面性、开发灵活性、集成方便性的基础上，给开发者最流畅的深度学习开发体验。<br>
-
-  **前置依赖**
-> - paddlepaddle >= 1.8.4
-> - python >= 3.6
-> - cython
-> - pycocotools
-
-```
-pip install paddlex -i https://mirror.baidu.com/pypi/simple
-```
-详细安装方法请参考[PaddleX安装](https://paddlex.readthedocs.io/zh_CN/develop/install.html)
-
-
-2. **Padlde GUI模式：**
-
-   无代码开发的可视化客户端，应用Paddle API实现，使开发者快速进行产业项目验证，并为用户开发自有深度学习软件/应用提供参照。
-
-- 前往[PaddleX官网](https://www.paddlepaddle.org.cn/paddle/paddlex)，申请下载PaddleX GUI一键绿色安装包。
-
-- 前往[PaddleX GUI使用教程](./docs/gui/how_to_use.md)了解PaddleX GUI使用详情。
-
-- [PaddleX GUI安装环境说明](./docs/gui/download.md)
-
-3. **PaddleX Restful:**  
-  使用基于RESTful API开发的GUI与Web Demo实现远程的深度学习全流程开发；同时开发者也可以基于RESTful API开发个性化的可视化界面
-- 前往[PaddleX RESTful API使用教程](./docs/gui/restful/introduction.md)  
-
-
-## 产品模块说明
-
-- **数据准备**：兼容ImageNet、VOC、COCO等常用数据协议，同时与Labelme、精灵标注助手、[EasyData智能数据服务平台](https://ai.baidu.com/easydata/)等无缝衔接，全方位助力开发者更快完成数据准备工作。
-
-- **数据预处理及增强**：提供极简的图像预处理和增强方法--Transforms，适配imgaug图像增强库，支持**上百种数据增强策略**，是开发者快速缓解小样本数据训练的问题。
-
-- **模型训练**：集成[PaddleClas](https://github.com/PaddlePaddle/PaddleClas), [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection), [PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg)视觉开发套件，提供大量精选的、经过产业实践的高质量预训练模型，使开发者更快实现工业级模型效果。
-
-- **模型调优**：内置模型可解释性模块、[VisualDL](https://github.com/PaddlePaddle/VisualDL)可视化分析工具。使开发者可以更直观的理解模型的特征提取区域、训练过程参数变化，从而快速优化模型。
-
-- **多端安全部署**：内置[PaddleSlim](https://github.com/PaddlePaddle/PaddleSlim)模型压缩工具和**模型加密部署模块**，与飞桨原生预测库Paddle Inference及高性能端侧推理引擎[Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite) 无缝打通，使开发者快速实现模型的多端、高性能、安全部署。
-
-
-
-## 完整使用文档及API说明
-
-- [完整PaddleX在线使用文档目录](https://paddlex.readthedocs.io/zh_CN/develop/index.html):heart:
-
-- [10分钟快速上手系列教程](https://paddlex.readthedocs.io/zh_CN/develop/quick_start.html)
-- [PaddleX模型训练教程集合](https://paddlex.readthedocs.io/zh_CN/develop/train/index.html)
-- [PaddleX API接口说明](https://paddlex.readthedocs.io/zh_CN/develop/apis/index.html)
-- [PaddleX RESTful API说明](https://paddlex.readthedocs.io/zh_CN/develop/gui/restful/introduction.html)
-
-### 在线项目示例
-
-为了使开发者更快掌握PaddleX API，我们创建了一系列完整的示例教程，您可通过AIStudio一站式开发平台，快速在线运行PaddleX的项目。
-
-- [PaddleX快速上手CV模型训练](https://aistudio.baidu.com/aistudio/projectdetail/450925)
-- [PaddleX快速上手——MobileNetV3-ssld 化妆品分类](https://aistudio.baidu.com/aistudio/projectdetail/450220)
-- [PaddleX快速上手——Faster-RCNN AI识虫](https://aistudio.baidu.com/aistudio/projectdetail/439888)
-- [PaddleX快速上手——DeepLabv3+ 视盘分割](https://aistudio.baidu.com/aistudio/projectdetail/440197)
-
-## 全流程产业应用案例:star:
-
-（continue to be updated）
-
-* 工业巡检：
-  * [工业表计读数](https://paddlex.readthedocs.io/zh_CN/develop/examples/meter_reader.html)
-* 工业质检：
-  * [铝材表面缺陷检测](https://paddlex.readthedocs.io/zh_CN/develop/examples/industrial_quality_inspection/README.html)
-* 卫星遥感：
-  * [RGB遥感影像分割](https://paddlex.readthedocs.io/zh_CN/develop/examples/remote_sensing.html)
-  * [多通道遥感影像分割](https://paddlex.readthedocs.io/zh_CN/develop/examples/multi-channel_remote_sensing/README.html)
-  * [地块变化检测](https://paddlex.readthedocs.io/zh_CN/develop/examples/multi-channel_remote_sensing/README.html)
-* [人像分割](https://paddlex.readthedocs.io/zh_CN/develop/examples/human_segmentation.html)
-* 模型多端安全部署
-  * [CPU/GPU(加密)部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/server/index.html)
-  * [OpenVINO加速部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/openvino/index.html)
-  * [Nvidia Jetson开发板部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/jetson/index.html)
-  * [树莓派部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/raspberry/index.html)
-
-* [模型可解释性](https://paddlex.readthedocs.io/zh_CN/develop/appendix/interpret.html)
-
-## :question:[FAQ](./docs/gui/faq.md):question:
-
-## 交流与反馈
-
-- 项目官网：https://www.paddlepaddle.org.cn/paddle/paddlex
-
-- PaddleX用户交流群：957286141 (手机QQ扫描如下二维码快速加入)  
-
-  <p align="center">
-    <img src="./docs/gui/images/QR2.jpg" width="250" height ="360" alt="QR" align="middle" />
-  </p>
-
-
-
-## 更新日志
-
-> [历史版本及更新内容](https://paddlex.readthedocs.io/zh_CN/develop/change_log.html)
-- **2020.09.07 v1.2.0**
-
-  新增产业最实用目标检测模型PP-YOLO，FasterRCNN、MaskRCNN、YOLOv3、DeepLabv3p等模型新增内置COCO数据集预训练模型，适用于小模型精调。新增多种Backbone，优化体积及预测速度。优化OpenVINO、PaddleLite Android、服务端C++预测部署方案，新增树莓派部署方案等。
-
-- **2020.07.12 v1.1.0**
-
-  新增人像分割、工业标记读数案例。模型新增HRNet、FastSCNN、FasterRCNN，实例分割MaskRCNN新增Backbone HRNet。集成X2Paddle，PaddleX所有分类模型和语义分割模型支持导出为ONNX协议。新增模型加密Windows平台支持。新增Jetson、Paddle Lite模型部署预测方案。
-
-- **2020.05.20 v1.0.0**
-
-  新增C++和Python部署，模型加密部署，分类模型OpenVINO部署。新增模型可解释性接口
-
-- **2020.05.17 v0.1.8**
-
-  新增EasyData平台数据标注格式，支持imgaug数据增强库的pixel-level算子
-
-## 近期活动更新
-
-- 2020.12.16
-
-  《直击深度学习部署最后一公里 C#软件部署实战》b站直播中奖用户名单请点击[PaddleX直播中奖名单](./docs/luckydraw.md)查看~
-
-- 2020.12.09
-
-  往期直播《直击深度学习部署最后一公里 目标检测兴趣小组》回放链接：https://www.bilibili.com/video/BV1rp4y1q7ap?from=search&seid=105037779997274685
-
-## :hugs: 贡献代码:hugs:
-
-我们非常欢迎您为PaddleX贡献代码或者提供使用建议。如果您可以修复某个issue或者增加一个新功能，欢迎给我们提交Pull Requests。
-
-### 开发者贡献项目
-
-* [工业相机实时目标检测GUI](https://github.com/xmy0916/SoftwareofIndustrialCameraUsePaddle)
-（windows系统，基于pyqt5开发）
-* [工业相机实时目标检测GUI](https://github.com/LiKangyuLKY/PaddleXCsharp)
-（windows系统，基于C#开发）

README_en.md

@@ -0,0 +1,145 @@
+[简体中文](./README_cn.md) | English
+
+
+
+
+
+<p align="center">
+  <img src="./docs/gui/images/paddlex.png" width="360" height ="55" alt="PaddleX" align="middle" />
+</p>
+
+
+<p align= "center"> PaddleX -- PaddlePaddle End-to-End Development Toolkit,
+  enables developers to implement real industry projects in a low-code form quickly </p>
+
+[![License](https://img.shields.io/badge/license-Apache%202-red.svg)](LICENSE) [![Version](https://img.shields.io/github/release/PaddlePaddle/PaddleX.svg)](https://github.com/PaddlePaddle/PaddleX/releases) ![python version](https://img.shields.io/badge/python-3.6+-orange.svg) ![support os](https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-yellow.svg)
+ ![QQGroup](https://img.shields.io/badge/QQ_Group-1045148026-52B6EF?style=social&logo=tencent-qq&logoColor=000&logoWidth=20)
+
+
+## PaddleX dynamic graph mode is ready! Static graph mode is set as default and dynamic graph code base is in [dygraph](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph). If you want to use static graph mode, the version 1.3.11 can be installed by pip. The version 2.0.0rc0 corresponds to the dynamic graph mode.
+
+
+:hugs:  PaddleX integrated the abilities of **Image classification**, **Object detection**, **Semantic segmentation**, and **Instance segmentation** in the Paddle CV toolkits, and get through the whole-process development from **Data preparation** and **Model training and optimization** to **Multi-end deployment**. At the same time, PaddleX provides **Succinct APIs** and a **Graphical User Interface**. Developers can quickly complete the end-to-end process development of the Paddle in a form of **low-code**  without installing different libraries.
+
+**:factory: PaddleX** has been validated in a dozen of industry application scenarios such as **Quality Inspection**, **Security**, **Patrol Inspection**, **Remote Sensing**, **Retail**,  **Medical** etc.. In addition, it **provides a wealth of case practice tutorials**, to help developer could apply to actual cases easily.
+
+
+
+:heart: **You can go to [Complete PaddleX Online Documentation Contents](https://paddlex.readthedocs.io/zh_CN/develop_en/index.html) for complete tutorial with the format of *Read the Doc* and better reading experience​** :heart:
+
+
+
+![](./docs/gui/images/paddlexoverview_en.jpg)
+
+
+
+## Installation
+
+**PaddleX has two development modes to meet different needs of users:**
+
+1.**Python development mode:**
+
+The design of PaddleX Python API taking into account of comprehensive functions, development flexibility, and integration convenience, giving developers the smoothest deep learning development experience.
+
+**Pre-dependence**
+
+> - paddlepaddle >= 1.8.4
+> - python >= 3.6
+> - cython
+> - pycocotools
+
+You shuould use command of python3 and pip3 instead if you have python2 installed.
+
+```
+pip install paddlex -i https://mirror.baidu.com/pypi/simple
+```
+Please refer to the [PaddleX installation](https://paddlex.readthedocs.io/zh_CN/develop/install.html) for detailed installation method.
+
+
+2. **Padlde GUI(Graphical User Interface) mode:**
+
+It's a all-in-one client enable develops could implement deep learning projects without code.
+
+- Go to [PaddleX Official Website](https://www.paddlepaddle.org.cn/paddle/paddlex) to download the all-in-one client.
+
+- Go to [PaddleX GUI tutorial](./docs/gui/how_to_use.md ) for details of using it.
+
+- [PaddleX GUI Environment Requirements for Installation](./docs/gui/download.md)
+
+
+## Product Module Description
+
+- **Data preparation**: Compatible with common data protocols such as ImageNet, VOC, COCO, and seamlessly interconnecting with Labelme, Colabeler, and [EasyData intelligent data service platform](https://ai.baidu.com/easydata/), to help developers to quickly complete data preparations.
+- **Data pre-processing and enhancement**: Provides a minimalist image pre-processing and enhancement method--Transforms. Adapts imgaug which is a powerful image enhancement library, so that PaddleX could supports **Hundreds of data enhancement strategies**, which makes developers quickly alleviate the situation of traing with small sample dataset.
+- **Model training**: PaddleX integrates [PaddleClas](https://github.com/PaddlePaddle/PaddleClas), [PaddleDetection](https://github.com/PaddlePaddle/PaddleDetection), and [PaddleSeg](https://github.com/PaddlePaddle/PaddleSeg) etcs. So it provides a large number of selected, industry-proven, high-quality pre-trained models, enabling developers to achieve the industry requirements much more quickly.
+- **Model tuning**: Model-interpretability module and [VisualDL](https://github.com/PaddlePaddle/VisualDL) visual analysis tool are integrated as well. It allows developers to understand the model's feature extraction region and the change of the training process parameters more intuitively , so as to quickly optimize the model.
+- **Multi-End Secure Deployment**: The built-in model compression tool-- [PaddleSlim](https://github.com/PaddlePaddle/PaddleSlim)  and **Model Encryption Deployment Module**, are seamlessly interconnected with native prediction library **Paddle Inference** and Multi-platform high performance deep learning inference engine-- [Paddle Lite](https://github.com/PaddlePaddle/Paddle-Lite) , to enable developers to quickly implement multi-end, high-performance, secure deployments of the model.
+
+
+
+## Full Documentation and API Description
+
+- [Complete PaddleX online documentation contents](https://paddlex.readthedocs.io/zh_CN/develop_en/):heart:
+
+- [10-Minute Quick Start Tutorial Series](https://paddlex.readthedocs.io/zh_CN/develop/quick_start.html)
+- [Collection of PaddleX Model Training Tutorials](https://paddlex.readthedocs.io/zh_CN/develop/train/index.html)
+- [PaddleX API Interface Description](https://paddlex.readthedocs.io/zh_CN/develop/apis/index.html)
+
+### Examples of Online Projects
+
+To get developers up to speed with the PaddleX API, we've created a complete series of sample tutorials that you can run PaddleX projects online through the **AIStudio** quickly.
+
+- [PaddleX Quick Start - CV Model Training](https://aistudio.baidu.com/aistudio/projectdetail/450925)
+- [PaddleX Quick Start - MobileNetV3-ssld Cosmetics Classification](https://aistudio.baidu.com/aistudio/projectdetail/450220)
+- [PaddleX Quick Start - Faster-RCNN AI Bug Recognition](https://aistudio.baidu.com/aistudio/projectdetail/439888)
+- [PaddleX Quick Start - DeepLabv3+ Semantic Segmentation](https://aistudio.baidu.com/aistudio/projectdetail/440197)
+
+
+
+## Full Process Industry Applications:star:
+
+（continue to be updated）
+
+* Industrial inspections:
+  - [Industrial Meter Readings](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/meter_reader.html)
+* [Industrial quality control](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/industrial_quality_inspection/README.html)
+* Satellite Image Understanding:
+  * [RGB Satellite Image Segmentation](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/remote_sensing.html)
+  * [Multi-Channel Satellite Image Segmentation](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/multi-channel_remote_sensing/README.html)
+  * [Land Parcel Change Detection](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/change_detection.html)
+* [Portrait Segmentation](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/human_segmentation.html)
+* Multi-platform Deployment with Encryption
+  - [CPU/GPU (Encryption) deployment](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/server/index.html)
+  - [Deployment with OpenVINO toolkit](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/openvino/index.html)
+  - [Deploy on Nvidia Jetson](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/nvidia-jetson.html)
+  - [Deploy on Raspberry Pi](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/raspberry/index.html)
+
+
+
+## :question:[FAQ](./docs/gui/faq.md):question:
+
+
+
+## Communication and Feedback
+
+- Project official website: https://www.paddlepaddle.org.cn/paddle/paddlex
+- PaddleX user group: 957286141 (Scan the following QR code on Mobile QQ to join quickly)
+
+<p align="center">
+  <img src="./docs/gui/images/QR2.jpg" width="250" height ="360" alt="QR" align="middle" />
+</p>
+
+## Release Note
+
+> [Complete Release Note](https://paddlex.readthedocs.io/zh_CN/develop/change_log.html)
+- 2020.12.20 v1.3.0
+- 2020.09.05 v1.2.0
+- 2020.07.13 v1.1.0
+- 2020.07.12 v1.0.8
+- 2020.05.20 v1.0.0
+
+
+
+## :hugs: Contribution :hugs:
+
+You are welcomed to contribute codes to PaddleX or provide suggestions. If you can fix an issue or add a new feature, please feel free to submit Pull Requests.

docs/Resful_API/docs/readme.md

@@ -0,0 +1,144 @@
+# PaddleX_Restful API --快速搭建私有化训练云服务
+
+* ## 什么是Resetful
+* ## PaddleX_Restful API 说明
+* ## 如何快速使用PaddleX_Restful API 快速搭建私有化训练云平台
+
+
+
+## *什么是Resetful*
+
+RESTFUL是一种网络应用程序的设计风格和开发方式，基于HTTP，可以使用XML格式定义或JSON格式定义。RESTFUL适用于移动互联网厂商作为业务接口的场景，实现第三方OTT调用移动网络资源的功能，动作类型为新增、变更、删除所调用资源。
+
+简单来说就是用户可以起一个远端的服务，客户端通过http形式进行访问。
+
+## *PaddleX_Restful API 说明*
+
+PaddleX RESTful是基于PaddleX开发的RESTful API。对于开发者来说只需要简单的指令便可开启PaddleX RESTful服务。对于哪些有远程训练要求，同时为了数据保密的开发者来说，PaddleX_Restful API简单易用的操作可以很好的满足上述要求。
+
+开启RESTful服务后可以实现如下功能：
+
+* 通过下载基于RESTful API的GUI连接开启RESTful服务的服务端，实现远程深度学习全流程开发。
+* 通过使用web demo连接开启RESTful服务的服务端，实现远程深度学习全流程开发。
+* 根据RESTful API来开发您自己个性化的可视化界面。
+
+
+<div align="center">
+<img src="../images/1.png"  width = "500" />              </div>
+
+## *如何快速使用PaddleX_Restful API 快速搭建私有化训练云平台*
+
+在该示例中PaddleX_Restful运行在一台带GPU的linux服务器下，用户通过其他电脑连接该服务器进行远程的操作。
+### 1  环境准备
+在服务器下载PaddlePaddle和PaddleX及其他依赖
+
+* 下载PaddlePaddle
+
+`pip install paddlepaddle-gpu -i `
+
+* 下载PaddleX
+
+pip install paddlex==1.3.11 -i
+
+* 下载pycuda（如果不使用GPU，该项可不进行下载）
+
+pip install pycuda -i
+
+### 2  启动Restful服务
+
+在服务器上启动如下命令，其中端口号是用户自定义的，`workspace_dir`是用户在服务器创建的
+
+`paddlex_restful --start_restful --port [端口号] --workspace_dir [工作空间地址]`
+
+例如开启一个端口为27000，工作路径在`cv/x/resful_space`的一个服务
+
+`paddlex_restful --start_restful --port 27000 --workspace_dir cv/x/resful_space`
+
+<div align="center">
+<img src="../images/2.png"  width = "800" />              </div>
+
+出现上述图片所示的内容，即为开启服务成功。
+
+### 3 启动客户端进行远程全流程训练
+
+为了方便大家进行远程调试，PaddleX_Restful提供了两张访问形式，一个是Web图形化界面，另一个是客户端的图形化界面
+* ## Web图像化界面
+
+### 3.1 打开Web界面
+当用户启动Restful服务后，在Web界面的导航栏只需要输入IP地址和端口号即可。例如当前案例的IP地址是222.95.100.37 端口号是25001
+
+即在导航栏输入 `http://222.95.100.37:25001/` 即可出现如下界面
+
+<div align="center">
+<img src="../images/2.5.png"  width = "800" />              </div>
+
+### 3.2 服务器设置
+点击界面中内容，在将服务器进行设置
+
+<div align="center">
+<img src="../images/2.6.png"  width = "800" />              </div>
+
+### 3.3 下载示例项目
+
+用户根据自己的需求，选择是否下载示例项目
+
+<div align="center">
+<img src="../images/3.png"  width = "800" />              </div>
+
+最终画面如下图所示
+
+<div align="center">
+<img src="../images/4.png"  width = "800" />              </div>
+
+### 3.4 创建数据集
+用户如果要自定义训练，首先需要去创建用户自身的数据集，
+在此之前，用户首先需要将数据集上传到服务器上。
+
+<div align="center">
+<img src="../images/5.png"  width = "800" />              </div>
+
+输入在服务上数据存储的路径，开始导入数据，在服务器上传的数据集，必须是符合PaddleX训练数据的命名格式要求。
+
+<div align="center">
+<img src="../images/5.5.png"  width = "800" />              </div>
+
+<div align="center">
+<img src="../images/6.png"  width = "800" />              </div>
+
+数据导入成功后，进行数据集划分
+<div align="center">
+<img src="../images/7.png"  width = "800" />              </div>
+
+用户在划分完成数据集后，也可对数据集进行可视化观察
+<div align="center">
+<img src="../images/8.png"  width = "800" />              </div>
+
+### 3.5 开始训练
+
+在数据集创建完成后，用户可创建新项目，并进行训练
+
+<div align="center">
+<img src="../images/9.png"  width = "800" />              </div>
+
+配置好相关参数后，点击开始训练，便开始进行训练。
+<div align="center">
+<img src="../images/10.png"  width = "800" />              </div>
+
+
+* ## 客户端图形化界面
+客户端操作流程和Web界面基本一致，提供了MAC和Windows版本两种，用户可自行下载并操作
+
+- [MAC](https://bj.bcebos.com/paddlex/PaddleX_Remote_GUI/mac/PaddleX_Remote_GUI.zip)
+- [Windows](https://bj.bcebos.com/paddlex/PaddleX_Remote_GUI/windows/PaddleX_Remote_GUI.zip)
+
+### 4  Restful 二次开发说明
+
+开发者可以使用PaddleX RESTful API 进行二次开发，按照自己的需求开发可视化界面，详细请参考以下文档  
+
+[RESTful API 二次开发简介](https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/gui/restful/restful.md)  
+
+[快速开始](https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/gui/restful/quick_start.md)  
+
+[API 参考文档](https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/gui/restful/restful_api.md)  
+
+[自定义数据结构](https://github.com/PaddlePaddle/PaddleX/blob/develop/docs/gui/restful/data_struct.md)

dygraph/README.md

@@ -7,6 +7,13 @@
 </p>
  <p align= "center"> PaddleX -- 飞桨全流程开发工具，以低代码的形式支持开发者快速实现产业实际项目落地 </p>
 
+## :heart:重磅功能升级
+* 全新发布Manufacture SDK，提供工业级多端多平台部署加速的预编译飞桨部署开发包（SDK），通过配置业务逻辑流程文件即可以低代码方式快速完成推理部署[欢迎体验](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/deploy/cpp)。
+
+* PaddleX部署全面升级，支持飞桨视觉套件PaddleDetection、PaddleClas、PaddleSeg、PaddleX的统一部署能力。[欢迎体验](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/deploy/cpp)。
+
+
+
 [![License](https://img.shields.io/badge/license-Apache%202-red.svg)](LICENSE) [![Version](https://img.shields.io/github/release/PaddlePaddle/PaddleX.svg)](https://github.com/PaddlePaddle/PaddleX/releases) ![python version](https://img.shields.io/badge/python-3.6+-orange.svg) ![support os](https://img.shields.io/badge/os-linux%2C%20win%2C%20mac-yellow.svg)
  ![QQGroup](https://img.shields.io/badge/QQ_Group-1045148026-52B6EF?style=social&logo=tencent-qq&logoColor=000&logoWidth=20)
 
@@ -34,13 +41,21 @@
 
   **前置依赖**
 > - paddlepaddle == 2.1.0
-> - python >= 3.6
-> - cython
-> - pycocotools
+> - 安装PaddlePaddle Develop版本，具体PaddlePaddle[安装主页](https://www.paddlepaddle.org.cn/install/quick?docurl=/documentation/docs/zh/develop/install/pip/windows-pip.html)
+
+**安装方式**
+
+> - git clone --recurse-submodules https://github.com/PaddlePaddle/PaddleX.git
+> - cd PaddleX/dygraph
+> - pip install -r requirements.txt
+> - pip install -r submodules.txt
+> - python setup.py install
+
 
-```
-pip install paddlex==2.0.0rc -i https://mirror.baidu.com/pypi/simple
-```
+**特别说明**   Windows除了执行上述命令外，还需要下载pycocotools
+
+> - pip install cython
+> - pip install git+https://gitee.com/jiangjiajun/philferriere-cocoapi.git#subdirectory=PythonAPI
 
 
 2. **Padlde GUI模式：**
@@ -55,16 +70,37 @@ pip install paddlex==2.0.0rc -i https://mirror.baidu.com/pypi/simple
 
 3. **PaddleX Restful:**  
   使用基于RESTful API开发的GUI与Web Demo实现远程的深度学习全流程开发；同时开发者也可以基于RESTful API开发个性化的可视化界面
-- 前往[PaddleX RESTful API使用教程](../docs/gui/restful/introduction.md)  
+- 前往[PaddleX RESTful API使用教程](../docs/Resful_API/docs/readme.md)  
 
 
 ## 使用教程
 
-- [模型训练教程](https://github.com/PaddlePaddle/PaddleX/tree/release/2.0-rc/tutorials/train)
-- [模型剪裁教程](https://github.com/PaddlePaddle/PaddleX/tree/release/2.0-rc/tutorials/slim/prune)
+1. **API模式：**
+
+- [模型训练](https://github.com/PaddlePaddle/PaddleX/tree/release/2.0-rc/tutorials/train)
+- [模型剪裁](https://github.com/PaddlePaddle/PaddleX/tree/release/2.0-rc/tutorials/slim/prune)
+
+
+
+2. **GUI模式：**
+
+- [图像分类](https://www.bilibili.com/video/BV1nK411F7J9?from=search&seid=3068181839691103009)
+- [目标检测](https://www.bilibili.com/video/BV1HB4y1A73b?from=search&seid=3068181839691103009)
+- [实例分割](https://www.bilibili.com/video/BV1M44y1r7s6?from=search&seid=3068181839691103009)
+- [语义分割](https://www.bilibili.com/video/BV1qQ4y1Z7co?from=search&seid=3068181839691103009)
 
+3. **模型部署：**
+- [Manufacture SDK](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/deploy/cpp)
+提供工业级多端多平台部署加速的预编译飞桨部署开发包（SDK），通过配置业务逻辑流程文件即可以低代码方式快速完成推理部署
+- [PaddleX Deploy](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/deploy/cpp) 支持飞桨视觉套件PaddleDetection、PaddleClas、PaddleSeg、PaddleX的统一部署能力
+## 产业级应用示例
 
-## :question:[FAQ](../docs/gui/faq.md):question:
+- [钢筋计数](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/examples/rebar_count)
+- [缺陷检测](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/examples/defect_detection)
+- [机械手抓取](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/examples/robot_grab)
+- [表计检测]()
+## :question:[FAQ]
+(../docs/gui/faq.md):question:
 
 ## 交流与反馈