• New Features
    • Support Paddle v1.8.4
    • Support int64 data type
    • Add mem_optim and ir_optim api for WebService
    • Add preprocess and postprocess api for ocr in paddle_serving_app
    • Add docker for cuda10
  • Improve of Compatibility
    • Release cuda10 version of paddle_serving_server_gpu
  • Improve of Framework
    • Optimize the error message in http mode
    • Reduce GPU server-side graphic memory usage.
  • Documents
    • Modify "How to optimize performance?","Compile from source code","FAQ(Chinese)"
  • New Demo
    • yolov4
    • ocr
  • Bug fixes
    • Add version requirements for protobuf to avoid import paddle_serving_client errors caused by low versions, https://github.com/PaddlePaddle/Serving/issues/728
    • fix compatibility issues for http mode with python3
    • fix ctr_with_cube demo
    • fix cpu docker
    • fix compatibility issues for BlazeFacePostprocess wiht python3

项目简介

A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)

🚀 Github 镜像仓库 🚀

源项目地址

https://github.com/PaddlePaddle/Serving

发行版本 14

Release v0.9.0

全部发行版

贡献者 36

全部贡献者

开发语言

  • C++ 51.6 %
  • Python 27.0 %
  • Shell 8.0 %
  • CMake 6.0 %
  • Go 4.4 %