实时显示摄像头图像
按下空格键，截取图片
按下tab键，开始录制摄像内容，再次按下，结束录制 

按下Esc键，关闭窗口

import cv2
import numpy#第几章图片
img_count=0InitVideo=False
#第几个视频
video_count=0
video_flag=False#参数为0，表示打开笔记本的内置摄像头
cameraCapture = cv2.VideoCapture(0)w = cameraCapture.get(cv2.CAP_PROP_FRAME_WIDTH)
# 获取视频帧的高
h = cameraCapture.get(cv2.CAP_PROP_FRAME_HEIGHT)
# 获取视频帧的帧率
fps = cameraCapture.get(cv2.CAP_PROP_FPS)
# 获取视频流的总帧数
fcount = cameraCapture.get(cv2.CAP_PROP_FRAME_COUNT)# 给窗口命名
cv2.namedWindow('MyWindow')# 按帧读取数据
success, frame = cameraCapture.read()while success :#镜像显示摄像头图像mirroredFrame=numpy.fliplr(frame).copy()cv2.imshow('MyWindow', mirroredFrame)keycode=cv2.waitKey(1)if keycode == 32:cv2.imwrite('img'+str(img_count)+'.jpg', frame)img_count=img_count+1elif keycode == 27:breakelif keycode == 9:video_flag =not video_flag #这个参数控制是否开始录屏InitVideo = True    #这个参数来影响初始化视频的次数#关于录屏if video_flag == True:if InitVideo == True:# 初始化writer = cv2.VideoWriter('out' + str(video_count) + '.avi', cv2.VideoWriter_fourcc('X', 'V', 'I', 'D'),int(fps), (int(w), int(h)))video_count = video_count + 1InitVideo =Falsewriter.write(frame)success, frame = cameraCapture.read()
cv2.destroyWindow('MyWindow')
cameraCapture.release()
writer.release()
cv2.destroyAllWindows()

截图： 

可以添加函数来使图像的显示效果改变（边缘检测效果）：

def strokeEdges(src,dst,blurKsize = 7,edgeKsize = 5):# 模糊函数，对去除数字化的视频噪声很有效，尤其是彩色图像的噪声blurredSrc = cv2.medianBlur(src, blurKsize)# 彩色图转灰度图graySrc = cv2.cvtColor(blurredSrc, cv2.COLOR_BGR2GRAY)# 边缘检测函数，会产生明显的边缘线条cv2.Laplacian(graySrc, cv2.CV_8U, graySrc, edgeKsize)# 黑转白，白转黑normalizedInverseAlpha = (1.0 / 255) * (255 - graySrc)# 重新恢复彩色，实现更清晰的轮廓图channels = cv2.split(src)for channel in channels:channel[:] = channel * normalizedInverseAlphacv2.merge(channels, dst)

自行在对应的帧显示处调用：