User Manual
Table Of Contents
- 1. Premise
- 2. Raspberry Pi System Installation and Developmen
- 3 Log In to The Raspberry Pi and Install The App
- 4 Raspberry Pi Structure Assembly and Precautions
- 5 Controlling A 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 Calling the API to Control the Robot
- 12 Automatic Stabilization Function
- 13 Gait Generation Method of A Hexapod Robot
- 14 Make A Police Light or Breathing Light
- 15 Real-Time Video Transmission
- 16 Why OpenCV Uses Multi-threading to Process Vide
- 17 OpenCV Learn to Use OpenCV
- 18 Using OpenCV to Realize Color Recognition and T
- 19 Machine Line Tracking Based on OpenCV
- 20 Create A WiFi Hotspot on The Raspberry Pi
- 21 Install GUI Dependent Item under Window
- 22 How to Use GUI
- 23 Enable UART
- 24 Control Your Adeept_RaspClaws with An Android D
- Conclusion
102
img = camera.read()
if cvt.CVThreading:
'''
If OpenCV is processing video frames, skip
'''
pass
else:
'''
If OpenCV is not processing video frames, give the video frame processing thread a new video frame
and resume the processing thread
'''
cvt.mode(img)
cvt.resume()
'''
Draw elements on the screen
'''
img = cvt.elementDraw(img)
# encode as a jpeg image and return it
yield cv2.imencode('.jpg', img)[1].tobytes()
●The above is the code principle of using multi-threading to process OpenCV. The following introduction
of specific functions of OpenCV will skip the explanation of multi-threading and directly introduce OpenCV's
method of processing video frames.