目录
2、输入以下命令,检查 OpenCV 是否有效以及是否可以在 Python 中使用。
3、运行命令,下载摄像头和简易服务器的 python 的界面。
sudo apt-get install build-essential
sudo apt-get install cmake git libgtk2.0-dev vim pkg-config libavcodec-dev libavformat-dev libswscale-dev
sudo apt-get install python-dev python-numpy python-pip libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev
报错:fatal: could not create work tree dir 'opencv': No space left on device
mkdir: cannot create directory ‘opencv’: No space left on device
等等......
命令行输入:
sudo raspi-config

选择Advanced Options(光标移动,Tab键选择,空格键确认)
选择Expand Filesystem
设置完成后退出重启树莓派。
如果没有出现重启选项,在命令行输入:
sudo reboot

扩展完成:从3.1G——>15G
sudo mkdir opencv
git clone https://github.com/opencv/opencv.git
sudo git clone https://github.com/opencv/opencv.git
- ①cd opencv/
- ②mkdir build (创建不成功就加sudo)
- ③cd build/
- ④cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_PYTHON_EXAMPLES=ON ..
-- Configuring incomplete, errors occurred!
CMake Error: Cannot open file for write: /home/pi/opencv/build/CMakeCache.txt.tmp
CMake Error: : System Error: Permission denied
CMake Error: Unable to open cache file for save. /home/pi/opencv/build/CMakeCache.txt
CMake Error: : System Error: Permission denied
指令:cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_PYTHON_EXAMPLES=ON ..
⑤make (此过程非常漫长!!可能需要7、8个小时)
Scanning dependencies of target opencv_highgui_plugins
CMake Error: Cannot open file for write: /home/pi/opencv/build/CMakeFiles/opencv_highgui_plugins.dir/depend.make.tmp
CMake Error: : System Error: Permission denied......

加sudo !!!
sudo make install
cd
mkdir picroscope
cd picroscope
sudo vi LiveStream.py //复制以下内容
- from flask import Flask, Response
- from picamera.array import PiRGBArray
- from picamera import PiCamera
- import cv2
- import time
- import io
-
- class Camera(object):
- def __init__(self):
- self.cam = PiCamera()
- self.cam.resolution = (640, 480)
- self.rawCapture = PiRGBArray(self.cam, size=(640,480))
-
- def get_frame(self):
- for frame in self.cam.capture_continuous(self.rawCapture, format="bgr", use_video_port=True):
- image = frame.array
- cv2.imwrite('blah.jpg',image)
- self.rawCapture.truncate(0)
- return open('blah.jpg', 'rb').read()
-
- app = Flask(__name__)
-
- def gen(camera):
- while True:
- frame = camera.get_frame()
- yield (b'--frame\r\n'
- b'Content-Type: image/jpeg\r\n\r\n' + frame + b'\r\n')
-
-
- @app.route('/')
- def video_feed():
- return Response(gen(Camera()),
- mimetype='multipart/x-mixed-replace; boundary=frame')
-
- if __name__ == '__main__':
- app.run(host='0.0.0.0', debug=True) #ssh登录,0.0.0.0换成自己的树莓派ip地址
cd picroscope/
python
import cv2
如果显示错误,请使用网络进行问题排查。如果其他方法都行不通,请发帖提问。
如果没有问题,OpenCV 可以正常使用。你可以输入以下命令来关闭 Python CLI。
exit()
输入以下命令关闭树莓派。
sudo shutdown now
sudo raspi-config
选择“Interfacing Options”
选择“Camera”
当系统询问是否启用相机时,选择“是”
当要求重启树莓派时,选择“是”
- sudo pip install picamera
- sudo pip install Flask
- cd picroscope
- python LiveStream.py

第一步:打开浏览器并在 URL 栏中输入:[HOSTNAME] .local:5000(ip地址:5000)
第二步:你应该可以看到摄像头在直播。
