依赖安装
sudo apt-get install libprotobuf-dev
sudo apt-get install protobuf-compiler
sudo apt-get install libboost-all-dev
sudo apt-get install libgoogle-glog-dev
sudo apt-get install libopencv-dev
sudo apt-get install libopenblas-dev
如果有些包在树莓派上使用apt-get安装不了，改用aptitude安装
下载编译
git clone https://github.com/OAID/Tengine.git
cd Tengine/
cp makefile.config.example makefile.config
编辑makefile.config：
- 将CONFIG_ARCH_ARM64=y 注释掉
- 将CONFIG_ARCH_ARM32=y 取消注释 (新发布的版本必须要这么做，否者编译后不产生libhclcpu.so libtengine.so文件)
- 将CONFIG_ARCH_BLAS=y 取消注释
make -j4
make install
(编译大概需要25分钟)
编译测试mobileSSD
-
下载mobilessd模型，并放在Tengine/models下
https://download.csdn.net/download/huxiny/11824964 -
编译mobile_ssd例子：
cd ~/Tengine/examples/mobilenet_ssd
cmake –DTENGINE_DIR=/home/pi/Tengine .
make
如果make 出现下面错误：
/home/pi/husin/Tengine/examples/mobilenet_ssd/mssd.cpp:32:27: fatal error: tengine_c_api.h: No such file or directory
#include "tengine_c_api.h"
^
compilation terminated.
CMakeFiles/MSSD.dir/build.make:62: recipe for target 'CMakeFiles/MSSD.dir/mssd.cpp.o' failed
make[2]: *** [CMakeFiles/MSSD.dir/mssd.cpp.o] Error 1
CMakeFiles/Makefile2:67: recipe for target 'CMakeFiles/MSSD.dir/all' failed
make[1]: *** [CMakeFiles/MSSD.dir/all] Error 2
Makefile:83: recipe for target 'all' failed
make: *** [all] Error 2
该问题产生的原因是 -DTENGINE_DIR 指定 Tengine 的安装路径。
则需要先make clean，并且删除cmake产生的文件
修改CMAKE文件：
(加入一行)
cmake_minimum_required (VERSION 2.8)
project(MSSD)
add_definitions(-std=c++11)
# TODO:设置 TENGINE_DIR 的路径
set( TENGINE_DIR /home/hxy/tengine )
set( INSTALL_DIR ${TENGINE_DIR}/install/)
set( TENGINE_LIBS tengine)
就可以正常编译了。
./MSSD
proto file not specified,using /home/pi/husin/Tengine/models/MobileNetSSD_deploy.prototxt by default
model file not specified,using /home/pi/husin/Tengine/models/MobileNetSSD_deploy.caffemodel by default
image file not specified,using /home/pi/husin/Tengine/tests/images/ssd_dog.jpg by default
--------------------------------------
repeat 1 times, avg time per run is 1821.49 ms
detect result num: 3
dog :100%
BOX:( 138.509 , 209.394 ),( 324.57 , 541.314 )
car :100%
BOX:( 467.315 , 72.8045 ),( 687.269 , 171.128 )
bicycle :100%
BOX:( 107.395 , 140.657 ),( 574.212 , 415.188 )
======================================
[DETECTED IMAGE SAVED]: save.jpg
======================================
参考文章
http://shumeipai.nxez.com/2018/12/07/tengine-inference-engine-raspberry-pi-deep-learning.html
https://www.jianshu.com/p/d2ed2c77efd3 (Tengine mobile_ssd 代码分析)
