1.Update PP-ShiTu model and add 18MB model series. 2.Upgrade the document completely. 3.Add C++ Inference. 4.Add C++ Pipeline Serving mode. 5.Add a demo for Paddle Lite on Android.

项目简介

A treasure chest for visual classification and recognition powered by PaddlePaddle

🚀 Github 镜像仓库 🚀

源项目地址

https://github.com/PaddlePaddle/PaddleClas

发行版本 9

PaddleClas v2.5.1

全部发行版

贡献者 48

全部贡献者

开发语言

  • Python 90.8 %
  • C++ 6.3 %
  • Shell 1.9 %
  • CMake 0.7 %
  • Makefile 0.3 %