PaddleX

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PaddleX -- PaddlePaddle End-to-End Development Toolkit, enables developers to implement real industry projects in a low-code form quickly

PaddleX dygraph mode is ready! Static mode is set by default and dygraph graph code base is in dygraph. If you want to use static mode, the version 1.3.10 can be installed by pip. The version 2.0.0rc0 corresponds to the dygraph 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 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 for detailed installation method.

1. 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 to download the all-in-one client.

• Go to PaddleX GUI tutorial for details of using it.

• PaddleX GUI Environment Requirements for Installation

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, 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, PaddleDetection, and 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 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 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 , 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:heart:

• 10-Minute Quick Start Tutorial Series

• Collection of PaddleX Model Training Tutorials

• PaddleX API Interface Description

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
• PaddleX Quick Start - MobileNetV3-ssld Cosmetics Classification
• PaddleX Quick Start - Faster-RCNN AI Bug Recognition
• PaddleX Quick Start - DeepLabv3+ Semantic Segmentation

Full Process Industry Applications:star:

（continue to be updated）

• Industrial inspections:
  • Industrial Meter Readings
• Industrial quality control
• Satellite Image Understanding:
  • RGB Satellite Image Segmentation
  • Multi-Channel Satellite Image Segmentation
  • Land Parcel Change Detection
• Portrait Segmentation
• Multi-platform Deployment with Encryption
  • CPU/GPU (Encryption) deployment
  • Deployment with OpenVINO toolkit
  • Deploy on Nvidia Jetson
  • Deploy on Raspberry Pi

:question:FAQ: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)

Release Note

Complete Release Note

• 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.