树莓派3B交叉编译PaddleLite进行图像分类

链接：

https://paddle-lite.readthedocs.io/zh/latest/source_compile/compile_env.html

https://paddle-lite.readthedocs.io/zh/latest/demo_guides/x86.html

https://paddle-lite.readthedocs.io/zh/latest/source_compile/compile_linux.html

https://paddle-lite.readthedocs.io/zh/latest/demo_guides/linux_arm_demo.html

 

系统信息：

1. ubuntu 18.04
2. python 3.7
3. paddle 2.0.2
4. paddlelite 2.9

 

说明：

1. 编译环境准备,安装git，cmake和交叉编译工具链

sudo apt-get update

sudo apt-get install cmake git

dudo apt-get install g++-arm-linux-gnueabi gcc-arm-linux-gnueabi \

g++-arm-linux-gnueabihf gcc-arm-linux-gnueabihf \

gcc-aarch64-linux-gnu g++-aarch64-linux-gnu

1. 编译x86版本的Paddlelite，对转换模型进行验证

git clone https://github.com/PaddlePaddle/Paddle-Lite.git

git checkout -b v2.9

cd Paddle-Lite/

rm third-party -rf

./lite/tools/build.sh --build_python=ON x86

1. 安装python版paddlelite，使用paddle_lite_opt对paddle生成的模型进行转换

cd Paddle-Lite/build.lite.x86/inference_lite_lib/python/install/dist

pip install paddlelite-15ee38677-cp37-cp37m-linux_x86_64.whl

 

cd model_dir/

mkdir -p Paddle-Lite/build.lite.x86/inference_lite_lib/demo/cxx/mobilenetv1_light/model

cp model.pdmodel Paddle-Lite/build.lite.x86/inference_lite_lib/demo/cxx/mobilenetv1_light/model

cp model.pdiparams Paddle-Lite/build.lite.x86/inference_lite_lib/demo/cxx/mobilenetv1_light/model

cd Paddle-Lite/build.lite.x86/inference_lite_lib/demo/cxx/mobilenetv1_light/model

 

paddle_lite_opt --model_file=./model.pdmodel --param_file=./model.pdiparams --optimize_out=./model --optimize_out_type=naive_buffer --valid_targets=x86

1. 编译运行mobilenetv1_light

cd addle-Lite/build.lite.x86/inference_lite_lib/demo/cxx/mobilenetv1_light

sh build.sh

cp ../../../third_party/mklml/lib/lib* ./

cp ../../../cxx/lib/libpaddle_light_api_shared.so

./mobilenet_light_api model/model.nb

1. 交叉编译armlinux版paddlelite

cd Paddle-Lite/

./lite/tools/build_linux.sh --arch=armv7hf --with_extra=ON --with_static_lib=ON --with_cv=ON

1. 使用paddle_lite_opt对paddle生成的模型进行转换

cd model_dir/

mkdir -p addle-Lite/build.lite.linux.armv7hf.gcc/inference_lite_lib.armlinux.armv7hf/demo/cxx/mobilenetv1_light/model

cp model.pd* Paddle-Lite/build.lite.linux.armv7hf.gcc/inference_lite_lib.armlinux.armv7hf/demo/cxx/mobilenetv1_light/model

cd Paddle-Lite/build.lite.linux.armv7hf.gcc/inference_lite_lib.armlinux.armv7hf/demo/cxx/mobilenetv1_light/model

 

paddle_lite_opt --model_file=./model.pdmodel --param_file=./model.pdiparams --optimize_out=./model --optimize_out_type=naive_buffer --valid_targets=arm

1. 编译mobilenetv1_light,然后拷贝到树莓派3B上运行

vim CMakeLists.txt

set(ARMLINUX_ARCH_ABI armv7hf)

add_definitions(-std=c++11 -O3 -pthread -Wl,--rpath=./)

 

sh build.sh

 

scp mobilenet_light_api model.nb  libpaddle_light_api_shared.so pi@192.168.123.62:/home/pi/mobilenet_light_api

 

ssh pi@192.168.123.62

export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:./

./mobilenet_light_api model.nb

1. 编译运行Paddle-Lite-Demo

git clone https://github.com/PaddlePaddle/Paddle-Lite-Demo.git

cd Paddle-Lite-Demo/PaddleLite-armlinux-demo

./download_models_and_libs.sh

scp *.h pi@192.168.123.62:/home/pi/yuandanfei/Paddle-Lite-Demo/PaddleLite-armlinux-demo/Paddle-Lite/include

scp libpaddle_light_api_shared.so pi@192.168.123.62:/home/pi/yuandanfei/Paddle-Lite-Demo/PaddleLite-armlinux-demo/Paddle-Lite/libs/armv7hf

cd Paddle-Lite-Demo/PaddleLite-armlinux-demo/image_classification_demo

vim run.sh

#TARGET_ARCH_ABI=armv8 # for RK3399, set to default arch abi
TARGET_ARCH_ABI=armv7hf # for Raspberry Pi 3B

sh run.sh