hirohe / Facerec Python
个人毕业设计 - 基于树莓派、OpenCV及Python语言的人脸识别
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facerec-python
个人毕业设计 - 基于树莓派、OpenCV及Python语言的人脸识别
简介
使用OpenCV for Python图像识别库，运行在树莓派RASPBIAN JESSIE Linux系统平台上，搭配树莓派官方摄像头模块。
运行要求
- OpenCV 2.4.9 for Python
- Python 2.7
- v4l2
- PyQt4
安装要求
sudo apt-get install build-essential cmake pkg-config python-dev libgtk2.0-dev libgtk2.0 zlib1g-dev libpng-dev libjpeg-dev libtiff-dev libjasper-dev libavcodec-dev swig unzip
1. 启用v4l2
sudo nano /etc/modules
# 增加一行记录
bcm2835-v4l2
# 重启后可以找到/dev/video0
# 编译v4l2-util
apt-get install autoconf gettext libtool libjpeg8 libjpeg8-dev
git clone git://git.linuxtv.org/v4l-utils.git
cd v4l-utils/
sudo ./bootstrap.sh
./configure
make
sudo make install
2. 编译OpenCV 2.4.9
wget https://jaist.dl.sourceforge.net/project/opencvlibrary/opencv-unix/2.4.9/opencv-2.4.9.zip
unzip opencv-2.4.9.zip
cd opencv-2.4.9/
cmake -DCMAKE_BUILD_TYPE=RELEASE -DCMAKE_INSTALL_PREFIX=/usr/local -DBUILD_PERF_TESTS=OFF -DBUILD_opencv_gpu=OFF -DBUILD_opencv_ocl=OFF
# 要使OpenCV开启对v4l2的支持 cmake之后要有以下输出
# V4L/V4L2: Using libv4l (ver 1.13.0)
sudo make
sudo make install
- 安装PyQt4
sudo apt-get install python-qt4
- 运行
python main.py
注意
该示例运行的屏幕分辨率为竖屏480 x 800，可以修改 /boot/config.txt 的以下配置
hdmi_cvt=800 480 60 6
hdmi_group=2
hdmi_mode=87
# 设置屏幕旋转角度
display_rotate=3
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