1、捕获摄像头和实时显示

import cv2import numpy as npimport pickleimport 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 capturecap.release()cv2.destroyAllWindows()

2、从摄像头内抓拍图片

import cv2import numpy as npimport pickleimport matplotlib.pyplot as plt cap = cv2.VideoCapture(0)index = 0while 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 capturecap.release()cv2.destroyAllWindows()

补充：python-----从本地摄像头和网络摄像头截取图片

import cv2# 获取本地摄像头# folder_path 截取图片的存储目录def get_img_from_camera_local(folder_path): cap = cv2.VideoCapture(0) i = 1 while True: ret, frame = cap.read() cv2.imshow("capture", frame) print str(i) cv2.imwrite(folder_path + str(i) + '.jpg', frame) # 存储为图像 if cv2.waitKey(1) & 0xFF == ord('q'): break i += 1 cap.release() cv2.destroyAllWindows()# 获取网络摄像头，格式：rtsp://username:pwd@ip/# folder_path 截取图片的存储目录def get_img_from_camera_net(folder_path): cap = cv2.VideoCapture('rtsp://username:pwd@ip/') i = 1 while True: ret, frame = cap.read() cv2.imshow("capture", frame) print str(i) cv2.imwrite(folder_path + str(i) + '.jpg', frame) # 存储为图像 if cv2.waitKey(1) & 0xFF == ord('q'): break i += 1 cap.release() cv2.destroyAllWindows()# 测试if __name__ == '__main__': folder_path = 'D:\\img_from_camera\\' get_img_from_camera_local(folder_path)

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。