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26 lines
1.8 KiB
Markdown
26 lines
1.8 KiB
Markdown
# Install FastDeploy - Tutorials
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- [How to Install FastDeploy Prebuilt Libraries](download_prebuilt_libraries.md)
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- [How to Build and Install FastDeploy on GPU Platform](gpu.md)
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- [How to Build and Install FastDeploy Library on CPU Platform](cpu.md)
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- [How to Build and Install FastDeploy Library on Nvidia Jetson Platform](jetson.md)
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- [How to Build and Install FastDeploy Library on Android Platform](android.md)
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## Build options
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| option | description |
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| :--- | :---- |
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| ENABLE_ORT_BACKEND | Default OFF, whether to enable ONNX Runtime backend(CPU/GPU) |
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| ENABLE_PADDLE_BACKEND | Default OFF，whether to enable Paddle Inference backend(CPU/GPU) |
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| ENABLE_TRT_BACKEND | Default OFF，whether to enable TensorRT backend(GPU) |
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| ENABLE_OPENVINO_BACKEND | Default OFF，whether to enable OpenVINO backend(CPU) |
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| ENABLE_VISION | Default OFF，whether to enable vision models deployment module |
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| ENABLE_TEXT | Default OFF，whether to enable text models deployment module |
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| WITH_GPU | Default OFF, if build on GPU, this need to be ON |
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| CUDA_DIRECTORY | Default /usr/local/cuda, if build on GPU, this defines the path of CUDA(>=11.2) |
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| TRT_DIRECTORY | If build with ENABLE_TRT_BACKEND=ON, this defines the path of TensorRT(>=8.4) |
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| ORT_DIRECTORY | [Optional] If build with ENABLE_ORT_BACKEND=ON, this flag defines the path of ONNX Runtime, but if this flag is not set, it will download ONNX Runtime library automatically |
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| OPENCV_DIRECTORY | [Optional] If build with ENABLE_VISION=ON, this flag defines the path of OpenCV, but if this flag is not set, it will download OpenCV library automatically |
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| OPENVINO_DIRECTORY | [Optional] If build WITH ENABLE_OPENVINO_BACKEND=ON, this flag defines the path of OpenVINO, but if this flag is not set, it will download OpenVINO library automatically |
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