Files
FastDeploy/docs/en/build_and_install
DefTruth edcf150d33 [Doc] Update download_prebuilt_libraries.md (#716)
* [Android] Add VisSegmentation NEON support

* [ARM] change vqaddq_u8 -> vaddq_u8

* [ARM] change vqaddq_u8 -> vaddq_u8

* [Bug Fix] add FDASSERT

* update assert info

* add QuantizeBlendingWeight8

* Update QuantizeBlendingWeight8

* Update VisSegmentation

* [Visualize] add DefaultVisualizeType and EnableFastVisuzlie

* fix typos

* fix typo

* Update VisSegmentation

* [Android] Add omp parallel support for Android

* Add omp schedule(static)

* [Bug Fix] fix libomp.so not found error

* [Doc] Update download_prebuilt_libraries.md

* Update download_prebuilt_libraries.md

Co-authored-by: Jason <928090362@qq.com>
2022-11-28 14:01:11 +08:00
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Install FastDeploy - Tutorials

Build options

option description
ENABLE_ORT_BACKEND Default OFF, whether to enable ONNX Runtime backend(CPU/GPU)
ENABLE_PADDLE_BACKEND Default OFFwhether to enable Paddle Inference backend(CPU/GPU)
ENABLE_TRT_BACKEND Default OFFwhether to enable TensorRT backend(GPU)
ENABLE_OPENVINO_BACKEND Default OFFwhether to enable OpenVINO backend(CPU)
ENABLE_VISION Default OFFwhether to enable vision models deployment module
ENABLE_TEXT Default OFFwhether to enable text models deployment module
WITH_GPU Default OFF, if build on GPU, this need to be ON
CUDA_DIRECTORY Default /usr/local/cuda, if build on GPU, this defines the path of CUDA(>=11.2)
TRT_DIRECTORY If build with ENABLE_TRT_BACKEND=ON, this defines the path of TensorRT(>=8.4)
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
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
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