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
89
● Process explanation: In order to improve the frame rate, we separate the analysis task of the video
frame from the process of acquisition and display, and place it in a background thread to execute and generate
drawing information.
● We change the complete code of camera_opencv.py with too many threads as follows: (This code is
only for reference of multi-threading principle, and the OpenCV function is intuitively deleted for the sake of
demonstration)
import os
import cv2
from base_camera import BaseCamera
import numpy as np
import datetime
import time
make it abnormally stuck.
17.2 Multi-thread Processing of Video Frames
●Next, the process of multi-thread processing of video frames is introduced: