Tutorial
Table Of Contents
- 1. Premise
- 2. Raspberry Pi System Installation and Developmen
- 3 Log In to The Raspberry Pi and Install The App
- 4 Assembly and Precautions
- 5 Controlling Robot via WEB App
- 6 Common Problems and Solutions(Q&A)
- 7 Set The Program to Start Automatically
- 8 Remote Operation of Raspberry Pi Via MobaXterm
- 9 How to Control WS2812 RGB LED
- 10 How to Control The Servo
- 11 How to Control DC Motor
- 12 Ultrasonic Module
- 13 Line Tracking
- 14 Make A Police Light or Breathing Light
- 15 Real-Time Video Transmission
- 16 Automatic Obstacle Avoidance
- 17 Why OpenCV Uses Multi-threading to Process Vide
- 18 OpenCV Learn to Use OpenCV
- 19 Using OpenCV to Realize Color Recognition and T
- 20 Machine Line Tracking Based on OpenCV
- 21 Create A WiFi Hotspot on The Raspberry Pi
- 22 Install GUI Dependent Item under Window
- 23 How to Use GUI
- 24 Control The WS2812 LED via GUI
- 25 Real-time Video Transmission Based on OpenCV
- 26 Use OpenCV to Process Video Frames on The PC
- 27 Enable UART
- 28 Control Your AWR with An Android Device
- Conclusion
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mimetype='multipart/x-mixed-replace; boundary=frame')
if __name__ == '__main__':
app.run(host='0.0.0.0', threaded=True)
●After editing, press CTRL+X to launch the editing, and prompt whether to save the changes, press Y
and Entry after saving the changes.
●Then you can run app.py:
sudo app.py
●Open the browser on the device on the same local area network as the Raspberry Pi (we use Google
Chrome to test), and enter the IP address of the Raspberry Pi plus the video streaming port number: 5000 in
the address bar, as shown in the following example:
192.168.3.157:5000
● Now you can see the page created by the Raspberry Pi on the browser of your computer or mobile
phone. After loading successfully, the page will display the real-time image of the Raspberry Pi camera.
●This feature uses projects from GitHub flask-video-streaming.