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FastDeploy/tutorials/multi_thread/cpp
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huangjianhui e4b1581593 [Doc] Update multi_thread docs in tutorials (#886) 
* Refactor PaddleSeg with preprocessor && postprocessor

* Fix bugs

* Delete redundancy code

* Modify by comments

* Refactor according to comments

* Add batch evaluation

* Add single test script

* Add ppliteseg single test script && fix eval(raise) error

* fix bug

* Fix evaluation segmentation.py batch predict

* Fix segmentation evaluation bug

* Fix evaluation segmentation bugs

* Update segmentation result docs

* Update old predict api and DisableNormalizeAndPermute

* Update resize segmentation label map with cv::INTER_NEAREST

* Add Model Clone function for PaddleClas && PaddleDet && PaddleSeg

* Add multi thread demo

* Add python model clone function

* Add multi thread python && C++ example

* Fix bug

* Update python && cpp multi_thread examples

* Add cpp && python directory

* Add README.md for examples

* Delete redundant code

* Create README_CN.md

* Rename README_CN.md to README.md

* Update README.md

* Update README.md

Co-authored-by: Jason <jiangjiajun@baidu.com>
2022-12-15 14:53:44 +08:00
..
CMakeLists.txt
[Other]Update python && cpp multi_thread examples (#876)
2022-12-14 19:18:53 +08:00
multi_thread.cc
[Other]Update python && cpp multi_thread examples (#876)
2022-12-14 19:18:53 +08:00
README.md
[Doc] Update multi_thread docs in tutorials (#886)
2022-12-15 14:53:44 +08:00

README.md

PaddleClas C++多线程部署示例

本目录下提供multi_thread.cc快速完成PaddleClas系列模型在CPU/GPU，以及GPU上通过TensorRT加速多线程部署的示例。

在部署前，需确认以下两个步骤

以Linux上ResNet50_vd推理为例，在本目录执行如下命令即可完成编译测试，支持此模型需保证FastDeploy版本0.7.0以上(x.x.x>=0.7.0)

mkdir build
cd build
# 下载FastDeploy预编译库，用户可在上文提到的`FastDeploy预编译库`中自行选择合适的版本使用
wget https://bj.bcebos.com/fastdeploy/release/cpp/fastdeploy-linux-x64-x.x.x.tgz
tar xvf fastdeploy-linux-x64-x.x.x.tgz
cmake .. -DFASTDEPLOY_INSTALL_DIR=${PWD}/fastdeploy-linux-x64-x.x.x
make -j

# 下载ResNet50_vd模型文件和测试图片
wget https://bj.bcebos.com/paddlehub/fastdeploy/ResNet50_vd_infer.tgz
tar -xvf ResNet50_vd_infer.tgz
wget https://gitee.com/paddlepaddle/PaddleClas/raw/release/2.4/deploy/images/ImageNet/ILSVRC2012_val_00000010.jpeg


# CPU多线程推理
./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 0 1
# GPU多线程推理
./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 1 1
# GPU上TensorRT多线程推理
./infer_demo ResNet50_vd_infer ILSVRC2012_val_00000010.jpeg 2 1

注意: 最后一位数字表示线程数

以上命令只适用于Linux或MacOS, Windows下SDK的使用方式请参考: