The content shared with you in this article is about the OpenCV python implementation of camera calling. It has a certain reference value. Friends in need can refer to it.

• Use opencv’s own The VideoCapture() function defines a camera object, and its parameter 0 represents the first camera, which is usually the built-in camera of the notebook.

  cap = cv2.VideoCapture(0)

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• In the while loop, use the read() function of the camera object to read a certain frame of the video and display it, and then wait for 1 unit time. If the keyboard input q is detected during the , then exit, that is, close the window.

  while(1):
      # get a frame
      ret, frame = cap.read()
      # show a frame
      cv2.imshow("capture", frame)
      if cv2.waitKey(1) & 0xFF == ord('q'):
          break

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• Call release() to release the camera, and call destroyAllWindows() to close all image windows.

  cap.release()
  cv2.destroyAllWindows()

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• Complete code
  

  import cv2
  import numpy as np
  
  cap = cv2.VideoCapture(0)
  while(1):
      # get a frame
      ret, frame = cap.read()
      # show a frame
      cv2.imshow("capture", frame)
      if cv2.waitKey(1) & 0xFF == ord('q'):
          break
  cap.release()
  cv2.destroyAllWindows()

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Perform preliminary processing of the acquired image

#摄像头并显示轮廓
import cv2
cap = cv2.VideoCapture(0)
i=0
while(1):
    ret, frame = cap.read()
    img_gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    img_gb = cv2.GaussianBlur(img_gray, (5, 5), 0)
    edges = cv2.Canny(img_gb, 100 , 200)
    cv2.imshow("capture", edges)
    if cv2.waitKey(1) & 0xFF == ord('q'):       
        break
cap.release()
cv2.destroyAllWindows()

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