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Yi-sir 9e20dab0d6 [Example] Merge Download Paddle Model, Paddle->ONNX->MLIR->BModel (#1643) 
* fix infer.py and README

* [Example] Merge Download Paddle Model, Paddle->Onnx->Mlir->Bmodel and
inference into infer.py. Modify README.md

* modify pp_liteseg sophgo infer.py and README.md

* fix PPOCR,PPYOLOE,PICODET,LITESEG sophgo infer.py and README.md

* fix memory overflow problem while inferring with sophgo backend

* fix memory overflow problem while inferring with sophgo backend

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Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
Co-authored-by: xuyizhou <yizhou.xu@sophgo.com>
2023-03-31 15:08:01 +08:00
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amlogic/a311d
[Docs] Pick seg fastdeploy docs from PaddleSeg (#1482)
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android
[Docs] Pick seg fastdeploy docs from PaddleSeg (#1482)
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ascend
[Docs] Pick seg fastdeploy docs from PaddleSeg (#1482)
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cpu-gpu
[Docs] Pick seg fastdeploy docs from PaddleSeg (#1482)
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kunlunxin
[Docs] rename ppseg kunlun docs -> kunlunxin (#1662)
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quantize
[Docs] Pick seg fastdeploy docs from PaddleSeg (#1482)
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rockchip
[Docs] Pick seg fastdeploy docs from PaddleSeg (#1482)
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serving
[Docs] Pick seg fastdeploy docs from PaddleSeg (#1482)
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sophgo
[Example] Merge Download Paddle Model, Paddle->ONNX->MLIR->BModel (#1643)
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web
[Docs] Pick seg fastdeploy docs from PaddleSeg (#1482)
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README.md
[Docs] rename ppseg kunlun docs -> kunlunxin (#1662)
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README.md

PaddleSeg语义分割模型高性能全场景部署方案-FastDeploy

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语义分割模型进行快速部署，并且支持Paddle Inference、Paddle Lite、TensorRT、OpenVINO、ONNXRuntime、RKNPU2、SOPHGO等多种推理后端。

2. 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 ✅ ✅

3. 详细使用文档

4. 更多部署方式

5. 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