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* [Docs] rename ppseg kunlun -> kunlunxin * [Docs] rename ppseg fastdeploy kunlun docs -> kunlunxin
76 lines
2.9 KiB
Markdown
76 lines
2.9 KiB
Markdown
# PaddleSeg语义分割模型高性能全场景部署方案-FastDeploy
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## 1. FastDeploy介绍
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**[⚡️FastDeploy](https://github.com/PaddlePaddle/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。
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## 2. 硬件支持列表
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|硬件类型|该硬件是否支持|使用指南|Python|C++|
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|:---:|:---:|:---:|:---:|:---:|
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|X86 CPU|✅|[链接](cpu-gpu)|✅|✅|
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|NVIDIA GPU|✅|[链接](cpu-gpu)|✅|✅|
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|飞腾CPU|✅|[链接](cpu-gpu)|✅|✅|
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|ARM CPU|✅|[链接](cpu-gpu)|✅|✅|
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|Intel GPU(集成显卡)|✅|[链接](cpu-gpu)|✅|✅|
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|Intel GPU(独立显卡)|✅|[链接](cpu-gpu)|✅|✅|
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|昆仑|✅|[链接](kunlunxin)|✅|✅|
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|昇腾|✅|[链接](ascend)|✅|✅|
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|瑞芯微|✅|[链接](rockchip)|✅|✅|
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|晶晨|✅|[链接](amlogic)|--|✅|
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|算能|✅|[链接](sophgo)|✅|✅|
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## 3. 详细使用文档
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- X86 CPU
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- [部署模型准备](cpu-gpu)
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- [Python部署示例](cpu-gpu/python/)
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- [C++部署示例](cpu-gpu/cpp/)
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- NVIDIA GPU
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- [部署模型准备](cpu-gpu)
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- [Python部署示例](cpu-gpu/python/)
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- [C++部署示例](cpu-gpu/cpp/)
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- 飞腾CPU
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- [部署模型准备](cpu-gpu)
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- [Python部署示例](cpu-gpu/python/)
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- [C++部署示例](cpu-gpu/cpp/)
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- ARM CPU
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- [部署模型准备](cpu-gpu)
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- [Python部署示例](cpu-gpu/python/)
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- [C++部署示例](cpu-gpu/cpp/)
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- Intel GPU
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- [部署模型准备](cpu-gpu)
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- [Python部署示例](cpu-gpu/python/)
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- [C++部署示例](cpu-gpu/cpp/)
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- 昆仑 XPU
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- [部署模型准备](kunlunxin)
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- [Python部署示例](kunlunxin/python/)
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- [C++部署示例](kunlunxin/cpp/)
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- 昇腾 Ascend
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- [部署模型准备](ascend)
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- [Python部署示例](ascend/python/)
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- [C++部署示例](ascend/cpp/)
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- 瑞芯微 Rockchip
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- [部署模型准备](rockchip/)
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- [Python部署示例](rockchip/rknpu2/)
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- [C++部署示例](rockchip/rknpu2/)
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- 晶晨 Amlogic
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- [部署模型准备](amlogic/a311d/)
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- [C++部署示例](amlogic/a311d/cpp/)
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- 算能 Sophgo
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- [部署模型准备](sophgo/)
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- [Python部署示例](sophgo/python/)
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- [C++部署示例](sophgo/cpp/)
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## 4. 更多部署方式
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- [Android ARM CPU部署](android)
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- [服务化Serving部署](serving)
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- [web部署](web)
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- [模型自动化压缩工具](quantize)
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## 5. 常见问题
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遇到问题可查看常见问题集合，搜索FastDeploy issue，*或给FastDeploy提交[issue](https://github.com/PaddlePaddle/FastDeploy/issues)*:
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[常见问题集合](https://github.com/PaddlePaddle/FastDeploy/tree/develop/docs/cn/faq)
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[FastDeploy issues](https://github.com/PaddlePaddle/FastDeploy/issues)
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