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Bump up to version 0.3.0 (#371)

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Co-authored-by: leiqing <54695910+leiqing1@users.noreply.github.com>
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2022-10-15 22:01:27 +08:00
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# C++ API
This directory help to generate C++ API documents for FastDeploy.
In this directory, execute the following command,
```
sudo apt-get install doxygen
doxygen
```
After execution, use browsers open `docs/html/index.html`

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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
- [Python examples](./)
- [C++ examples](./)
### Related APIs
- [RuntimeOption](./structfastdeploy_1_1RuntimeOption.html)
- [Runtime](./structfastdeploy_1_1Runtime.html)
## Vision Models
| Task | Model | API | Example |
| :---- | :---- | :---- | :----- |
| object detection | PaddleDetection/PPYOLOE | [fastdeploy::vision::detection::PPYOLOE](./classfastdeploy_1_1vision_1_1detection_1_1PPYOLOE.html) | [C++](./)/[Python](./) |