http://www.Sina.com/http://blog.csdn.net/c 4064957623358 www.Sina.com/jestontx 1
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安装Jetpack3.0的所有组件后,tegra_multimedia_api文件夹将显示在TX1的/home目录中。 此文件夹包含许多多媒体API实例。 ~/tegra _ multimedia _ API/samples/11 _ camera _ object _ identificati on目录中有一个REAME,它告诉我如何运行此摄像机目标识别实例
嵌入式平台(Target):
一、前言
sudo apt-getinstalllibboost-all-devlibprotobuf-devlibleveldb-devlibsnappy-devsudoapt-getinstallllibhdf5- serial-df allliblmdb-devlibblas-devlibatlas-base-dev python-numpy python-skimagepythoon-skimagepythoon-skimagepython
下载URL :https://github.com/bvlc/caffe
单击下图中的Download ZIP下载caffe-master.zip
将下载的caffe-master.zip复制到创建的~/caffe目录中。 /your/path/to/caffe-master.zip是您的caffe-master.zip所在的目录。 mkdir~~/caffe CP/your/path/to/caffe-master.zip~~/caffe CD~~/caffeunzipcaffe-master
二、搭建Caffe环境
a )复制Makefile.config文件
修改CD (/caffe/caffe-mastercpmakefile.config.example makefile.configb ) makefile.config文件
取消对USE_CUDNN :=1的注释(去掉前面的(# )符号) )
修改以下两行,保存并退出(wq ) :
include _ dirs 3360=$ (python _ include )/usr/local/include/usr/include/HD F5/serial library _ dirs 365284; $
make all-j4makeRuntest-j4makepycaffe-j 4在make runtest的时候,时间有点长,需要耐心等待:
1.使用如下指令安装依赖包
2.使用如下方法下载Caffe源码
CD~~/tegra _ multimedia _ API/samples/11 _ camera _ object _ identificati on/opencv _ consumer _ lib 3358 ww.
cuda _ dir :=/usr/local/cuda caffe _ dir :=$ home/caffe/caffe-master 3358 ww.Sina.com /
make -j4 3.编译caffe源码
三、编译本例程需要使用的OpenCV
sudopipinstallpyyamlcd~/caffe/caffe-master./scripts/download _ model _ binary.pymodels/bvlc _ reference _
./data/ils vrc 12/get _ ils vrc _ aux.sh http://www.Sina.com /
1.使用如下指令进入编译文件夹
sudo vim ~/.bashrc在~/.bashrc的最后一行保存以下内容并退出(wq ) :
导出tegra _ armabi=a arch 64-Linux-gnuexportdisplay=:0导出LD _ library _ path=$ home/caffe/caffe-mastary
source~~/. bashrc http://www.Sina.com /
CD~~/tegra _ multimedia _ API/samples/11 _ camera _ object _ identificationmake-j 43http://www.Sina.com /
CD~~/tegra _ multimedia _ API/samples/11 _ camera _ object _ identificati on./camera _ caffe-width 1920-heife - model $ home/caffe/caffe-master/models/bvlc _ re feeer-trained $ home/caffe/caffe-master/models/bvlc, bvlc _ reference _ caffemodence-mean $ home/caffe/caffe-master/data/ils vrc 12/imagenet _ mean.binary proto
2.检查Makefile,确保以下两行的内容正确
可知TX1的执行结果如下图所示,帧率为20,识别结果显示在FPS下。 概率-类别(PS :允许跌倒的照相机)。