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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self.CVThreading = 0
def resume(self):
'''
Resume the thread
'''
self.__flag.set()
def run(self):
'''
Process video frames in the background thread
'''
while 1:
self.__flag.wait()
self.CVThreading = 1
self.doOpenCV(self.imgCV)
class Camera(BaseCamera):
video_source = 0
def __init__(self):
if os.environ.get('OPENCV_CAMERA_SOURCE'):
Camera.set_video_source(int(os.environ['OPENCV_CAMERA_SOURCE']))
super(Camera, self).__init__()
@staticmethod
def set_video_source(source):
Camera.video_source = source
@staticmethod
def frames():
camera = cv2.VideoCapture(Camera.video_source)
if not camera.isOpened():
raise RuntimeError('Could not start camera.')
'''
Instantiation CVThread()
'''
cvt = CVThread()
cvt.start()
while True:
# read current frame