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Jason 3ff562aa77 Bump up to version 0.3.0 (#371 )

* Update VERSION_NUMBER

* Update paddle_inference.cmake

* Delete docs directory

* release new docs

* update version number

* add vision result doc

* update version

* fix dead link

* fix vision

* fix dead link

* Update README_EN.md

* Update README_EN.md

* Update README_EN.md

* Update README_EN.md

* Update README_EN.md

* Update README_CN.md

* Update README_EN.md

* Update README_CN.md

* Update README_EN.md

* Update README_CN.md

* Update README_EN.md

* Update README_EN.md

Co-authored-by: leiqing <54695910+leiqing1@users.noreply.github.com>

2022-10-15 22:01:27 +08:00

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FastDeploy C++ API Summary

Runtime

FastDeploy Runtime can be used as an inference engine with the same code, we can deploy Paddle/ONNX model on different device by different backends.
Currently, FastDeploy supported backends listed as below,

Backend	Hardware	Support Model Format	Platform
Paddle Inference	CPU/Nvidia GPU	Paddle	Windows(x64)/Linux(x64)
ONNX Runtime	CPU/Nvidia GPU	Paddle/ONNX	Windows(x64)/Linux(x64/aarch64)/Mac(x86/arm64)
TensorRT	Nvidia GPU	Paddle/ONNX	Windows(x64)/Linux(x64)/Jetson
OpenVINO	CPU	Paddle/ONNX	Windows(x64)/Linux(x64)/Mac(x86)

Example code

Vision Models

Task	Model	API	Example
object detection	PaddleDetection/PPYOLOE	fastdeploy::vision::detection::PPYOLOE	C++/Python

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FastDeploy C++ API Summary

Runtime

Example code

Related APIs

Vision Models

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