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@@ -1,5 +1,4 @@
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-[简体中文](./README_cn.md) | English
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-
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+简体中文| [English](./README.md)
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@@ -7,139 +6,175 @@
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<p align="center">
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<img src="./docs/gui/images/paddlex.png" width="360" height ="55" alt="PaddleX" align="middle" />
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</p>
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-
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-
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-<p align= "center"> PaddleX -- PaddlePaddle End-to-End Development Toolkit,
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- enables developers to implement real industry projects in a low-code form quickly </p>
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+ <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>
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[](LICENSE) [](https://github.com/PaddlePaddle/PaddleX/releases)  
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-## 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.
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+## 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
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-: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.
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+## :heart: 重磅功能升级提醒
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+* 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)。
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-**: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.
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+* 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)。
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+: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。
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+: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。
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-: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:
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+: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:
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-
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+
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-## Installation
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-**PaddleX has two development modes to meet different needs of users:**
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-1.**Python development mode:**
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+## 安装
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-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.
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+**PaddleX提供三种开发模式，满足用户的不同需求：**
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-**Pre-dependence**
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+1. **Python开发模式：**
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+ 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>
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+
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+ **前置依赖**
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> - paddlepaddle >= 1.8.4
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> - python >= 3.6
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> - cython
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> - pycocotools
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-You shuould use command of python3 and pip3 instead if you have python2 installed.
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-
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```
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pip install paddlex -i https://mirror.baidu.com/pypi/simple
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```
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-Please refer to the [PaddleX installation](https://paddlex.readthedocs.io/zh_CN/develop/install.html) for detailed installation method.
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+详细安装方法请参考[PaddleX安装](https://paddlex.readthedocs.io/zh_CN/develop/install.html)
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-2. **Padlde GUI(Graphical User Interface) mode:**
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+2. **Padlde GUI模式：**
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-It's a all-in-one client enable develops could implement deep learning projects without code.
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+ 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。
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-- Go to [PaddleX Official Website](https://www.paddlepaddle.org.cn/paddle/paddlex) to download the all-in-one client.
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+- 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。
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-- Go to [PaddleX GUI tutorial](./docs/gui/how_to_use.md ) for details of using it.
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+- 前往[PaddleX GUI使用教程](./docs/gui/how_to_use.md)了解PaddleX GUI使用详情。
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-- [PaddleX GUI Environment Requirements for Installation](./docs/gui/download.md)
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+- [PaddleX GUI安装环境说明](./docs/gui/download.md)
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+3. **PaddleX Restful:**
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+ 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
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+- 前往[PaddleX RESTful API使用教程](./docs/gui/restful/introduction.md)
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-## Product Module Description
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-- **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.
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-- **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.
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-- **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.
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-- **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.
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-- **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.
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+## 产品模块说明
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+- **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。
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+- **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。
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-## Full Documentation and API Description
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+- **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。
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-- [Complete PaddleX online documentation contents](https://paddlex.readthedocs.io/zh_CN/develop_en/):heart:
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+- **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。
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-- [10-Minute Quick Start Tutorial Series](https://paddlex.readthedocs.io/zh_CN/develop/quick_start.html)
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-- [Collection of PaddleX Model Training Tutorials](https://paddlex.readthedocs.io/zh_CN/develop/train/index.html)
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-- [PaddleX API Interface Description](https://paddlex.readthedocs.io/zh_CN/develop/apis/index.html)
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+- **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。
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-### Examples of Online Projects
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-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.
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-- [PaddleX Quick Start - CV Model Training](https://aistudio.baidu.com/aistudio/projectdetail/450925)
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-- [PaddleX Quick Start - MobileNetV3-ssld Cosmetics Classification](https://aistudio.baidu.com/aistudio/projectdetail/450220)
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-- [PaddleX Quick Start - Faster-RCNN AI Bug Recognition](https://aistudio.baidu.com/aistudio/projectdetail/439888)
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-- [PaddleX Quick Start - DeepLabv3+ Semantic Segmentation](https://aistudio.baidu.com/aistudio/projectdetail/440197)
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+## 完整使用文档及API说明
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+- [完整PaddleX在线使用文档目录](https://paddlex.readthedocs.io/zh_CN/develop/index.html):heart:
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+- [10分钟快速上手系列教程](https://paddlex.readthedocs.io/zh_CN/develop/quick_start.html)
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+- [PaddleX模型训练教程集合](https://paddlex.readthedocs.io/zh_CN/develop/train/index.html)
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+- [PaddleX API接口说明](https://paddlex.readthedocs.io/zh_CN/develop/apis/index.html)
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+- [PaddleX RESTful API说明](https://paddlex.readthedocs.io/zh_CN/develop/gui/restful/introduction.html)
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-## Full Process Industry Applications:star:
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+### 在线项目示例
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-（continue to be updated）
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+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。
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-* Industrial inspections:
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- - [Industrial Meter Readings](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/meter_reader.html)
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-* [Industrial quality control](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/industrial_quality_inspection/README.html)
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-* Satellite Image Understanding:
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- * [RGB Satellite Image Segmentation](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/remote_sensing.html)
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- * [Multi-Channel Satellite Image Segmentation](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/multi-channel_remote_sensing/README.html)
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- * [Land Parcel Change Detection](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/change_detection.html)
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-* [Portrait Segmentation](https://paddlex.readthedocs.io/zh_CN/develop_en/examples/human_segmentation.html)
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-* Multi-platform Deployment with Encryption
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- - [CPU/GPU (Encryption) deployment](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/server/index.html)
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- - [Deployment with OpenVINO toolkit](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/openvino/index.html)
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- - [Deploy on Nvidia Jetson](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/nvidia-jetson.html)
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- - [Deploy on Raspberry Pi](https://paddlex.readthedocs.io/zh_CN/develop_en/deploy/raspberry/index.html)
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+- [PaddleX快速上手CV模型训练](https://aistudio.baidu.com/aistudio/projectdetail/450925)
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+- [PaddleX快速上手——MobileNetV3-ssld 化妆品分类](https://aistudio.baidu.com/aistudio/projectdetail/450220)
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+- [PaddleX快速上手——Faster-RCNN AI识虫](https://aistudio.baidu.com/aistudio/projectdetail/439888)
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+- [PaddleX快速上手——DeepLabv3+ 视盘分割](https://aistudio.baidu.com/aistudio/projectdetail/440197)
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+## 全流程产业应用案例:star:
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+（continue to be updated）
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+
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+* 工业巡检：
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+ * [工业表计读数](https://paddlex.readthedocs.io/zh_CN/develop/examples/meter_reader.html)
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+* 工业质检：
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+ - [铝材表面缺陷检测](https://paddlex.readthedocs.io/zh_CN/develop/examples/industrial_quality_inspection/README.html)
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+ - [钢筋计数（动态图）](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/examples/rebar_count)
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+ - [镜头缺陷检测（动态图）](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/examples/defect_detection)
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+ - [机械手抓取（动态图）](https://github.com/PaddlePaddle/PaddleX/tree/develop/dygraph/examples/robot_grab)
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+* 卫星遥感：
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+ * [RGB遥感影像分割](https://paddlex.readthedocs.io/zh_CN/develop/examples/remote_sensing.html)
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+ * [多通道遥感影像分割](https://paddlex.readthedocs.io/zh_CN/develop/examples/multi-channel_remote_sensing/README.html)
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+ * [地块变化检测](https://paddlex.readthedocs.io/zh_CN/develop/examples/multi-channel_remote_sensing/README.html)
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+* [人像分割](https://paddlex.readthedocs.io/zh_CN/develop/examples/human_segmentation.html)
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+* 模型多端安全部署
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+ * [CPU/GPU(加密)部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/server/index.html)
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+ * [OpenVINO加速部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/openvino/index.html)
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+ * [Nvidia Jetson开发板部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/jetson/index.html)
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+ * [树莓派部署](https://paddlex.readthedocs.io/zh_CN/develop/deploy/raspberry/index.html)
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+
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+* [模型可解释性](https://paddlex.readthedocs.io/zh_CN/develop/appendix/interpret.html)
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## :question:[FAQ](./docs/gui/faq.md):question:
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+## 交流与反馈
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+- 项目官网：https://www.paddlepaddle.org.cn/paddle/paddlex
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-## Communication and Feedback
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+- PaddleX用户交流群：957286141 (手机QQ扫描如下二维码快速加入)
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-- Project official website: https://www.paddlepaddle.org.cn/paddle/paddlex
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-- PaddleX user group: 957286141 (Scan the following QR code on Mobile QQ to join quickly)
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+ <p align="center">
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+ <img src="./docs/gui/images/QR2.jpg" width="250" height ="360" alt="QR" align="middle" />
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+ </p>
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-<p align="center">
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- <img src="./docs/gui/images/QR2.jpg" width="250" height ="360" alt="QR" align="middle" />
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-</p>
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-## Release Note
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-> [Complete Release Note](https://paddlex.readthedocs.io/zh_CN/develop/change_log.html)
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-- 2020.12.20 v1.3.0
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-- 2020.09.05 v1.2.0
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-- 2020.07.13 v1.1.0
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-- 2020.07.12 v1.0.8
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-- 2020.05.20 v1.0.0
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+## 更新日志
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+
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+> [历史版本及更新内容](https://paddlex.readthedocs.io/zh_CN/develop/change_log.html)
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+- **2020.09.07 v1.2.0**
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+
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+ 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。
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+
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+- **2020.07.12 v1.1.0**
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+
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+ 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。
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+
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+- **2020.05.20 v1.0.0**
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+
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+ 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
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+
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+- **2020.05.17 v0.1.8**
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+
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+ 新增EasyData平台数据标注格式，支持imgaug数据增强库的pixel-level算子
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+
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+## 近期活动更新
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+
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+- 2020.12.16
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+
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+ 《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~
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+
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+- 2020.12.09
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+
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+ 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
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+## :hugs: 贡献代码:hugs:
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+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。
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-## :hugs: Contribution :hugs:
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+### 开发者贡献项目
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-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.
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+* [工业相机实时目标检测GUI](https://github.com/xmy0916/SoftwareofIndustrialCameraUsePaddle)
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+（windows系统，基于pyqt5开发）
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+* [工业相机实时目标检测GUI](https://github.com/LiKangyuLKY/PaddleXCsharp)
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+（windows系统，基于C#开发）
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yzl19940819
