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PaddleSeg/deploy/fastdeploy
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[Docs] rename ppseg fastdeploy kunlun docs -> kunlunxin (#3076) 		1 year ago
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README.md

PaddleSeg高性能全场景模型部署方案—FastDeploy

目录

1. FastDeploy介绍

⚡️FastDeploy是一款全场景、易用灵活、极致高效的AI推理部署工具，支持云边端部署。使用FastDeploy可以简单高效的在X86 CPU、NVIDIA GPU、飞腾CPU、ARM CPU、Intel GPU、昆仑、昇腾、瑞芯微、晶晨、算能等10+款硬件上对PaddleSeg模型进行快速部署，并且支持Paddle Inference、Paddle Lite、TensorRT、OpenVINO、ONNXRuntime、RKNPU2、SOPHGO等多种推理后端。

2. 语义分割模型部署

2.1 硬件支持列表

硬件类型 该硬件是否支持 使用指南 Python C++
X86 CPU ✅ 链接 ✅ ✅
NVIDIA GPU ✅ 链接 ✅ ✅
飞腾CPU ✅ 链接 ✅ ✅
ARM CPU ✅ 链接 ✅ ✅
Intel GPU(集成显卡) ✅ 链接 ✅ ✅
Intel GPU(独立显卡) ✅ 链接 ✅ ✅
昆仑 ✅ 链接 ✅ ✅
昇腾 ✅ 链接 ✅ ✅
瑞芯微 ✅ 链接 ✅ ✅
晶晨 ✅ 链接 -- ✅
算能 ✅ 链接 ✅ ✅

2.2. 详细使用文档

2.3 更多部署方式

3. Matting模型部署

3.1 硬件支持列表

硬件类型 该硬件是否支持 使用指南 Python C++
X86 CPU ✅ 链接 ✅ ✅
NVIDIA GPU ✅ 链接 ✅ ✅
飞腾CPU ✅ 链接 ✅ ✅
ARM CPU ✅ 链接 ✅ ✅
Intel GPU(集成显卡) ✅ 链接 ✅ ✅
Intel GPU(独立显卡) ✅ 链接 ✅ ✅
昆仑 ✅ 链接 ✅ ✅
昇腾 ✅ 链接 ✅ ✅

3.2 详细使用文档

4. 常见问题

遇到问题可查看常见问题集合，搜索FastDeploy issue，或给FastDeploy提交issue:

常见问题集合
FastDeploy issues

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飞桨高性能图像分割开发套件，端到端完成从训练到部署的全流程图像分割应用。

https://github.com/PaddlePaddle/PaddleSeg

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