python opencv捕获摄像头并显示内容的实现（opencv入门到精通）

1、捕获摄像头和实时显示

import cv2
import numpy as np
import pickle
import matplotlib.pyplot as plt
 
cap = cv2.VideoCapture(0)
 
while True:
  ret,frame = cap.read()
  # Our operations on the frame come here
  gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
  # Display the resulting frame
  cv2.imshow('frame',gray)
  if cv2.waitKey(1) & 0xFF == ord('q'):
    break
 
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows() 

1.1Sobel进行边缘检测

加入想对摄像头捕获的图片进行加工处理，则对每一个图片处理即可

import cv2
import numpy as np
import pickle
import matplotlib.pyplot as plt

def sobel_pocessed(img):
    # Sobel边缘检测算子
    x = cv2.Sobel(img, cv2.CV_16S, 1, 0)
    y = cv2.Sobel(img, cv2.CV_16S, 0, 1)
    # cv2.convertScaleAbs(src[, dst[, alpha[, beta]]])
    Scale_absX = cv2.convertScaleAbs(x)  # convert 转换  scale 缩放
    Scale_absY = cv2.convertScaleAbs(y)
    result = cv2.addWeighted(Scale_absX, 0.5, Scale_absY, 0.5, 0)
    return result


cap = cv2.VideoCapture(0)
 
while True:
  ret,frame = cap.read()
  # Our operations on the frame come here
  gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
  #result=gray
  result=sobel_pocessed(frame)
  # Display the resulting frame
  cv2.imshow('liuyunshengsir_opencv',result)
  if cv2.waitKey(1) & 0xFF == ord('q'):
    break
 
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows() 

2、从摄像头内抓拍图片

import cv2
import numpy as np
import pickle
import matplotlib.pyplot as plt
 
cap = cv2.VideoCapture(0)
index = 0
while True:
  ret,frame = cap.read()
  # Our operations on the frame come here
  gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
  # Display the resulting frame
  cv2.imshow('frame',gray)
  if cv2.waitKey(1) & 0xFF == ord('p'):
    cv2.imwrite("kk.jpg",frame)
    index = index + 1
  if cv2.waitKey(1) & 0xFF == ord('q'):
    break
 
# When everything done, release the capture
cap.release()
cv2.destroyAllWindows()