检查lib文件的软连接方向：
ls -l libboost_system.so进入板子linux系统：
ssh root@10.6.5.134 ping 10.6.5.134用ssh将本地资源复制到服务器
https://blog.csdn.net/qq_39377418/article/details/89367041
//查看当前系统磁盘使用空间
df -h
//查看当前目录文件占用空间大小
du -sh *
Linux -- 查询某个文件夹下的文件数量
https://www.cnblogs.com/gengyufei/p/12804376.html
ubuntu16.04系统安装且挂载硬盘且设为开机启动项
https://blog.csdn.net/weixin_42652125/article/details/81171233
sed命令替换字符包含斜杠\，引号的处理方法 - franjia - 博客园
https://www.cnblogs.com/franjia/p/6690060.html
【转载】linux中批量替换文本中字符串命令 - -天道酬勤- - 博客园
https://www.cnblogs.com/wbl001/p/12492055.html
sed -i 's#home/gavin/桌面/TOF_Doc/libroyale_ningbosunnyopotech#home/robert/DeepLearning/royale#g' `grep home/gavin/桌面/TOF_Doc/libroyale_ningbosunnyopotech -rl *`查序号，https://www.cnblogs.com/hml-blog-com/p/11558369.html
ps aux kill -s 9 3960Linux创建连接命令 ln -s创建软连接
https://www.cnblogs.com/zhangna1998517/p/11347364.html
ARM交叉编译工具链分类说明
https://blog.csdn.net/qq_16149777/article/details/82349868
linux将其他分区空间划分给root分区的方法（ext4文件系统）
https://blog.csdn.net/qq_26514685/article/details/106673825
linux如何查看磁盘剩余空间
https://www.cnblogs.com/jasonxu19900827/p/5282237.html
在ARM Linux下挂载SD卡分区
https://blog.csdn.net/timeless_2014/article/details/82319554
ubuntu 硬盘管理工具
https://blog.csdn.net/bluebird_shao/article/details/8241698
ubuntu16.04使用GParted对/根目录扩容
https://blog.csdn.net/Carina_Cao/article/details/90270389
linux 如何查看硬盘大小,存储空间大小等系统信息及硬件信息
https://www.cnblogs.com/lixuejian/p/12100166.html
Linux下tempfs及/dev/shm原理与应用
https://blog.csdn.net/guo8113/article/details/28590963
Ubuntu下安装ssh与配置
https://www.cnblogs.com/cookiewu/p/9664062.html
如何在Ubuntu下向TF/SD卡中烧写镜像（程序），较好
https://blog.csdn.net/zyc_csdn/article/details/89062686
Ubuntu14.04下tftp安装，并与开发板通信
https://blog.csdn.net/smz958150/article/details/75307463
ubuntu下的tftp上传和下载操作方法
https://blog.csdn.net/long0814long0814/article/details/65477673
ubantu下ssh: connect to host xxxxxxxxxx port 22: Connection refused问题
https://blog.csdn.net/yundou520/article/details/82658809
如何在ubuntu中通过串口访问开发板（如：树莓派），putty
https://blog.csdn.net/dgj8300/article/details/51045874/
ubuntu下串口工具的安装与使用，minicom
https://blog.csdn.net/lzhitwh/article/details/80304579
深度强化学习实验中的paper绘图方法
https://mp.weixin.qq.com/s/94nwkxn20ZixmcsX8oUJIw
dair-ai/ml-visuals: Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
https://github.com/dair-ai/ml-visuals
Linux 中最常用 150 个命令汇总
https://mp.weixin.qq.com/s/Lbp6_pz_UYrrGUtdQKwfBQ
Linux指定动态库搜索路径五种方法及优先级
https://blog.csdn.net/wwwtovvv/article/details/41477249
linux下cmake-3.11.4安装
https://blog.csdn.net/Jeffxu_lib/article/details/80712414
linux查看可执行程序的链接库及文件位置
https://blog.csdn.net/weixin_42404296/article/details/82632354
Linux下使用SSH进行远程登录主机及操作
https://blog.csdn.net/Hellowenpan/article/details/82904109
linux下如何查看cpu信息
https://blog.csdn.net/liuli9/article/details/84112680
shell脚本中的条件测试if中的-z到-d的意思
https://blog.csdn.net/xiaodingqq/article/details/79981372
移植boost_1_55_0至arm的方法小结（有错误）
https://blog.csdn.net/dotphoenix/article/details/41114523
arm交叉编译器编译boost库并调用（有错误）
https://blog.csdn.net/jiangheng0535/article/details/18225775
在imx8qm上开心把玩Machine Learning（写得较简单，有一点参考意义）
https://blog.csdn.net/u013739490/article/details/84314290
Configuring the Arm NN SDK build environment for Caffe（较完善，主要还是参考官方编译教程）
https://blog.csdn.net/liugan528/article/details/80272763
ARM NN:Ubuntu 14.04 Caffe和TensorFlow以及TF-lite的ARM NN SDK编译环境搭建及MNIST程序测试（有一定参考意义）
https://blog.csdn.net/coinv2014/article/details/83582747
为Tensorflow、Tensorflow lite配置Arm NN SDK编译环境（有一定参考意义）
https://blog.csdn.net/a845414332/article/details/102718813
官方教程避坑：编译ARM NN/Tensorflow Lite
https://www.cnblogs.com/pepetang/p/10627542.html
在ARM板子上把玩Tensorflow Lite（操作复杂，暂无参考意义）
https://blog.csdn.net/computerme/article/details/80345065
ARMNN使用例程（有参考性，但不够完善）
https://github.com/ARM-software/ML-examples
官方指导网站
https://developer.arm.com/solutions/machine-learning-on-arm/developer-material/how-to-guides
我的编译代码，主要还是参考官方的编译文档：BuildGuideCrossCompilation.md
根据上述参考安装scons-2.4.1
build_x86_64.sh
#git submodule update --init --recursive #./autogen.sh mkdir x86_64_build cd x86_64_build ../configure --prefix=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/x86_64_pb_install make install -j16 cd ..build_arm64.sh
mkdir arm64_build cd arm64_build export LD_LIBRARY_PATH=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux/usr/lib source /opt/fsl-imx-xwayland/4.14-sumo/environment-setup-aarch64-poky-linux ../configure --host=aarch64-poky-linux \ CC=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/x86_64-pokysdk-linux/usr/bin/aarch64-poky-linux/aarch64-poky-linux-gcc \ CFLAGS="--sysroot=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux" \ CXX=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/x86_64-pokysdk-linux/usr/bin/aarch64-poky-linux/aarch64-poky-linux-g++ \ CXXFLAGS="--sysroot=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux" \ --prefix=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/arm64_pb_install \ --with-protoc=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/x86_64_pb_install/bin/protoc make install -j16 cd ..build.sh
echo "building boost 1.64.0" echo "using gcc : arm : aarch64-poky-linux-g++ ;" > user_config.jam sh ./bootstrap.sh --prefix=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/boost_arm64_install export LD_LIBRARY_PATH=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux/usr/lib source /opt/fsl-imx-xwayland/4.14-sumo/environment-setup-aarch64-poky-linux ./b2 toolset=gcc-arm link=static cxxflags="-fPIC --sysroot=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux" --with-filesystem --with-test --with-log --with-program_options --user-config=user_config.jam #./b2 install参考：https://blog.csdn.net/yiyayiya557/article/details/105796768
和官方文档
build.sh
sudo dd if=/dev/zero of=/home/swap bs=64M count=16 sudo mkswap /home/swap sudo swapon /home/swap export LD_LIBRARY_PATH=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux/usr/lib source /opt/fsl-imx-xwayland/4.14-sumo/environment-setup-aarch64-poky-linux scons extra_cxx_flags="-fPIC --sysroot=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux" arch=arm64-v8a neon=1 opencl=1 embed_kernels=1 -j8 internal_only=0 # install_dir="/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/ComputeLibrary" sudo swapoff /home/swap sudo rm /home/swapbuild.sh
../armnn-branches-armnn_20_05/scripts/generate_tensorflow_protobuf.sh ../armnn-devenv/tensorflow-protobuf/ ../armnn-devenv/google/x86_64_pb_installbuild_x86_64.sh
mkdir build_x86_64 cd build_x86_64 cmake .. -DFLATBUFFERS_BUILD_FLATC=1 \ -DCMAKE_INSTALL_PREFIX=/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/flatbuffer/x86_64_fb_install \ -DFLATBUFFERS_BUILD_TESTS=0 make all installbuild_arm64.sh
mkdir build_arm64 cd build_arm64 export LD_LIBRARY_PATH=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux/usr/lib source /opt/fsl-imx-xwayland/4.14-sumo/environment-setup-aarch64-poky-linux CC=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/x86_64-pokysdk-linux/usr/bin/aarch64-poky-linux/aarch64-poky-linux-gcc \ CXX=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/x86_64-pokysdk-linux/usr/bin/aarch64-poky-linux/aarch64-poky-linux-g++ \ cmake .. -G "Unix Makefiles" -DCMAKE_BUILD_TYPE=Release -DCMAKE_TOOLCHAIN_FILE=../toolchain.cmake -DCMAKE_INSTALL_PREFIX=/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/flatbuffer/arm64_fb_install make all installtoolchain.cmake
# this is required SET(CMAKE_SYSTEM_NAME Linux) # specify the cross compiler SET(CMAKE_C_COMPILER /opt/fsl-imx-xwayland/4.14-sumo/sysroots/x86_64-pokysdk-linux/usr/bin/aarch64-poky-linux/aarch64-poky-linux-gcc) SET(CMAKE_CXX_COMPILER /opt/fsl-imx-xwayland/4.14-sumo/sysroots/x86_64-pokysdk-linux/usr/bin/aarch64-poky-linux/aarch64-poky-linux-g++) SET(CMAKE_SYSROOT /opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux) # where is the target environment SET(CMAKE_FIND_ROOT_PATH /opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux) # specify the compiler flag SET(CMAKE_C_FLAGS -O3 -mtune=cortex-a35 -mcpu=cortex-a35 -march=armv8-a+fp+simd+crc+crypto) SET(CMAKE_CXX_FLAGS -std=c++11 -O3 -mtune=cortex-a35 -mcpu=cortex-a35 -march=armv8-a+fp+simd+crc+crypto) # search for programs in the build host directories (not necessary) SET(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER) # for libraries and headers in the target directories SET(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY) SET(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)build.sh
export LD_LIBRARY_PATH=/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/x86_64_pb_install/lib:$LD_LIBRARY_PATH ../armnn-devenv/google/x86_64_pb_install/bin/protoc ./onnx/onnx.proto --proto_path=. --proto_path=../armnn-devenv/google/x86_64_pb_install/include --cpp_out ../onnxbuild.sh
../flatbuffers-1.10.0/build_x86_64/flatc -c --gen-object-api --reflect-types --reflect-names schema.fbsbuild.sh
mkdir build cd build export LD_LIBRARY_PATH=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux/usr/lib source /opt/fsl-imx-xwayland/4.14-sumo/environment-setup-aarch64-poky-linux cmake .. \ -DARMCOMPUTE_ROOT=$HOME/DeepLearning/NXP-imx8QX/CompileResult/ArmComputeLibrary-master-v20.05 \ -DARMCOMPUTE_BUILD_DIR=$HOME/DeepLearning/NXP-imx8QX/CompileResult/ArmComputeLibrary-master-v20.05/build/ \ -DBOOST_ROOT=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/boost_arm64_install/ \ -DARMCOMPUTENEON=1 -DARMCOMPUTECL=1 -DARMNNREF=1 \ -DCAFFE_GENERATED_SOURCES=$HOME/DeepLearning/NXP-imx8QX/CompileResult/caffe-master-cpu/build/src \ -DBUILD_CAFFE_PARSER=1 \ -DONNX_GENERATED_SOURCES=$HOME/DeepLearning/NXP-imx8QX/CompileResult/onnx \ -DBUILD_ONNX_PARSER=1 \ -DTF_GENERATED_SOURCES=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/tensorflow-protobuf \ -DBUILD_TF_PARSER=1 \ -DBUILD_TF_LITE_PARSER=1 \ -DTF_LITE_GENERATED_PATH=$HOME/DeepLearning/NXP-imx8QX/CompileResult/tflite \ -DTF_LITE_SCHEMA_INCLUDE_PATH=$HOME/DeepLearning/NXP-imx8QX/CompileResult/tensorflow-1.15.3/tensorflow/lite/schema \ -DFLATBUFFERS_ROOT=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/flatbuffer/arm64_fb_install \ -DFLATC_DIR=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/flatbuffer/arm64_fb_install/bin \ -DFLATBUFFERS_LIBRARY=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/flatbuffer/arm64_fb_install/lib/libflatbuffers.a \ -DFLATBUFFERS_INCLUDE_PATH=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/flatbuffer/arm64_fb_install/include \ -DPROTOBUF_ROOT=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/arm64_pb_install \ -DPROTOBUF_INCLUDE_DIRS=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/arm64_pb_install/include \ -DPROTOBUF_LIBRARY_DEBUG=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/arm64_pb_install/lib/libprotobuf.so.15.0.1 \ -DPROTOBUF_LIBRARY_RELEASE=$HOME/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/arm64_pb_install/lib/libprotobuf.so.15.0.1 \ -DCMAKE_TOOLCHAIN_FILE=../toolchain.cmake \ -DCMAKE_INSTALL_PREFIX=/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/armnn-install #--no-warn-unused-cli #-DBUILD_TESTS=1 make -j$(nproc) installtoolchain.cmake
# this is required SET(CMAKE_SYSTEM_NAME Linux) # specify the cross compiler SET(CMAKE_C_COMPILER /opt/fsl-imx-xwayland/4.14-sumo/sysroots/x86_64-pokysdk-linux/usr/bin/aarch64-poky-linux/aarch64-poky-linux-gcc) SET(CMAKE_CXX_COMPILER /opt/fsl-imx-xwayland/4.14-sumo/sysroots/x86_64-pokysdk-linux/usr/bin/aarch64-poky-linux/aarch64-poky-linux-g++) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -Wall -Werror -Wold-style-cast -Wno-missing-braces -Wconversion -Wsign-conversion -pthread") set(Boost_NO_BOOST_CMAKE ON) set(Boost_USE_STATIC_LIBS ON) SET(CMAKE_SYSROOT /opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux) # where is the target environment SET(CMAKE_FIND_ROOT_PATH /opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux) # specify the compiler flag SET(CMAKE_C_FLAGS -O3 -mtune=cortex-a35 -mcpu=cortex-a35 -march=armv8-a+fp+simd+crc+crypto) SET(CMAKE_CXX_FLAGS -std=c++11 -O3 -mtune=cortex-a35 -mcpu=cortex-a35 -march=armv8-a+fp+simd+crc+crypto) # search for programs in the build host directories (not necessary) SET(CMAKE_FIND_ROOT_PATH_MODE_PROGRAM NEVER) # for libraries and headers in the target directories SET(CMAKE_FIND_ROOT_PATH_MODE_LIBRARY ONLY) SET(CMAKE_FIND_ROOT_PATH_MODE_INCLUDE ONLY)build.sh
mkdir build cd build export LD_LIBRARY_PATH=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux/usr/lib source /opt/fsl-imx-xwayland/4.14-sumo/environment-setup-aarch64-poky-linux aarch64-poky-linux-g++ -O3 --sysroot=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux -std=c++14 \ -I/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/armnn-install/include \ ../mnist_caffe.cpp -o mnist_caffe \ -L/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/armnn-install/lib \ -L/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/arm64_pb_install/lib \ -larmnn -larmnnCaffeParser -lprotobuf -lprotoc -lpthreadMakefile
ARMNN_LIB = ${HOME}/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/armnn-install/lib ARMNN_INC = ${HOME}/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/armnn-install/include PROTOBUF = ${HOME}/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/arm64_pb_install/lib all: mnist_caffe mnist_tf mnist_caffe: mnist_caffe.cpp mnist_loader.hpp aarch64-poky-linux-g++ -O3 -std=c++14 -I$(ARMNN_INC) mnist_caffe.cpp -o mnist_caffe -L$(ARMNN_LIB) -L$(PROTOBUF) -lprotobuf -larmnn -larmnnCaffeParser -lpthread mnist_tf: mnist_tf.cpp mnist_loader.hpp aarch64-poky-linux-g++ -O3 -std=c++14 -I$(ARMNN_INC) mnist_tf.cpp -o mnist_tf -L$(ARMNN_LIB) -L$(PROTOBUF) -lprotobuf -larmnn -larmnnTfParser -lpthread clean: -rm -f mnist_tf mnist_caffe test: mnist_caffe mnist_tf LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:$(ARMNN_LIB) ./mnist_caffe LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:$(ARMNN_LIB) ./mnist_tfbuild.sh
#!/bin/bash set -e # Exit immediately if a command exits with a non-zero status. BuildDir=build if [ ! -d "$BuildDir" ]; then # Take action if $BuildDir doesn‘t exists. echo "create ${BuildDir}..." mkdir -p ${BuildDir} fi cd ${BuildDir} echo "building mobilenet quant" export LD_LIBRARY_PATH=/opt/fsl-imx-xwayland/4.14-sumo/sysroots/aarch64-poky-linux/usr/lib source /opt/fsl-imx-xwayland/4.14-sumo/environment-setup-aarch64-poky-linux cmake -DCMAKE_TOOLCHAIN_FILE=../toolchain.cmake -DBUILD_SHARED_LIBS=ON –build –config Release .. make -j$(nproc)CMakeLists.txt
cmake_minimum_required(VERSION 2.8.4) #版本最小为2.8.4 PROJECT(mobilenet_quant) #设置工程名 set(ARMNN_BUILD "/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/armnn-install/lib") set(ARMNN_ROOT "/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-branches-armnn_20_05") set(PROTOBUF "/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/google/arm64_pb_install/lib") set(BOOST_ROOT "/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/boost_arm64_install") set(FLATBUFFERS "/home/robert/DeepLearning/NXP-imx8QX/CompileResult/armnn-devenv/flatbuffer/arm64_fb_install/lib") SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++14 -O3 -lpthread -DDLIB_JPEG_SUPPORT -DDLIB_PNG_SUPPORT -DARMNN_TF_LITE_PARSER -fPIE -pie") SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -I${ARMNN_ROOT}/include -I${ARMNN_ROOT}/src/backends -I${ARMNN_ROOT}/src/armnnUtils -I${ARMNN_ROOT}/tests -I${BOOST_ROOT}/include") IF(CMAKE_CXX_COMPILER_ID STREQUAL "Clang") SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Weverything") ELSEIF(CMAKE_CXX_COMPILER_ID STREQUAL "GNU") SET(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wall -Wextra") ENDIF() FIND_PACKAGE(OpenCV REQUIRED) INCLUDE_DIRECTORIES(${OpenCV_INCLUDE_DIRS}) message(STATUS "Opencv include dir found at ${OpenCV_INCLUDE_DIRS}") find_package(Threads) set(envSTR "arm") if(envSTR STREQUAL "x64") INCLUDE_DIRECTORIES(/home/robert/DeepLearning/NXP-imx8QX/CompileResult/mydlib-19.19.0) LINK_DIRECTORIES(/home/robert/DeepLearning/NXP-imx8QX/CompileResult/mydlib-19.19.0/x64_build_second/dlib/) ELSEIF(envSTR STREQUAL "arm") INCLUDE_DIRECTORIES(/home/robert/DeepLearning/NXP-imx8QX/CompileResult/dlib-19.19.0) LINK_DIRECTORIES(/home/robert/DeepLearning/NXP-imx8QX/CompileResult/dlib-19.19.0/dlib_build_second_armv8/dlib/) # INCLUDE_DIRECTORIES(${ARMNN_ROOT}/include) # INCLUDE_DIRECTORIES(${ARMNN_ROOT}/src/backends) # INCLUDE_DIRECTORIES(${ARMNN_ROOT}/src/armnnUtils) # INCLUDE_DIRECTORIES(${ARMNN_ROOT}/tests) # INCLUDE_DIRECTORIES(${BOOST_ROOT}/include) LINK_DIRECTORIES(${ARMNN_BUILD}) LINK_DIRECTORIES(${BOOST_ROOT}/lib) LINK_DIRECTORIES(${PROTOBUF}) LINK_DIRECTORIES(${FLATBUFFERS}) ENDIF() message(${ARMNN_ROOT}/include) FILE(GLOB SRC_FILES "./*.cpp") FILE(GLOB HEAD_FILES "./*.h") ADD_EXECUTABLE(${PROJECT_NAME} ${SRC_FILES} ${HEAD_FILES}) TARGET_LINK_LIBRARIES(${PROJECT_NAME} dlib armnn armnnTfLiteParser boost_system boost_filesystem boost_program_options protobuf pthread flatbuffers ${OpenCV_LIBS} ${CMAKE_THREAD_LIBS_INIT})toolchain.cmake
同上
板上测试，针对CPU
LD_LIBRARY_PATH=$LD_LIBRARY_PATH:. ./mobilenet_quant -m ./models/mobilenet_v1_1.0_224_quant.tflite -d ./data/Dog.jpg -p ./models/labels.txt -c CpuAccmobilenet_v1_1.0_224_quant.tgz下载地址：https://www.tensorflow.org/lite/guide/hosted_models
labels.txt在源码的/armnn-branches-armnn_20_05/tests/TfLiteMobilenetQuantized-Armnn
Dog.jpg为kaggle猫狗二分类竞赛图片
