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FastDeploy/docs/en/build_and_install
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WJJ1995 9437dec9f5 [Model] add PFLD model (#433) 
* support face alignment PFLD

* add PFLD demo

* fixed FaceAlignmentResult

* fixed bugs

* fixed img size

* fixed readme

* deal with comments

* fixed readme

* add pfld testcase

* update infer.py

* add gflags for example

* update c++ readme

* add gflags in example

* fixed for ci

* fixed gflags.cmake

* deal with comments

* update infer demo

Co-authored-by: Jason <jiangjiajun@baidu.com>
2022-11-02 11:50:16 +08:00
..
android.md
Bump up to version 0.3.0 (#371)
2022-10-15 22:01:27 +08:00
cpu.md
Bump up to version 0.3.0 (#371)
2022-10-15 22:01:27 +08:00
download_prebuilt_libraries.md
[Model] add PFLD model (#433)
2022-11-02 11:50:16 +08:00
gpu.md
[Backend] TRT cast GPU input from int64 to int32, output from int32 to int64, and Windows support building CUDA files (#426)
2022-10-28 13:38:06 +08:00
ipu.md
[Backend] support ipu in paddle inference backend. (#437)
2022-10-30 18:59:59 +08:00
jetson.md
Bump up to version 0.3.0 (#371)
2022-10-15 22:01:27 +08:00
README.md
Update README.md
2022-10-19 10:58:31 +08:00

README.md

Install FastDeploy - Tutorials

Build options

option description
ENABLE_ORT_BACKEND Default OFF, whether to enable ONNX Runtime backend(CPU/GPU)
ENABLE_PADDLE_BACKEND Default OFF，whether to enable Paddle Inference backend(CPU/GPU)
ENABLE_TRT_BACKEND Default OFF，whether to enable TensorRT backend(GPU)
ENABLE_OPENVINO_BACKEND Default OFF，whether to enable OpenVINO backend(CPU)
ENABLE_VISION Default OFF，whether to enable vision models deployment module
ENABLE_TEXT Default OFF，whether 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