PaddleX -- PaddlePaddle End-to-End Development Toolkit, enables developers to implement real industry projects in a low-code form quickly
[](LICENSE) [](https://github.com/PaddlePaddle/PaddleX/releases)    ## 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:  ## 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)
