python-opencv图像处理基础练习2

import cv2
import numpy as np

def fun():
camera=cv2.VideoCapture(0)
es = cv2.getStructuringElement(cv2.MORPH_ELLIPSE,(10,10))
kernel =np.ones((5,5),np.uint8)
background = None
while True:
ret,frame=camera.read()
if background is None:
background = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
background = cv2.GaussianBlur(background,(21,21),0)
continue
gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
gray_frame = cv2.GaussianBlur(gray_frame, (21, 21), 0)
diff = cv2.absdiff(background, gray_frame)
diff = cv2.threshold(diff, 25, 255, cv2.THRESH_BINARY)[1]
diff = cv2.dilate(diff, es, iterations=2)
cnts,hierarchy = cv2.findContours(diff.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for c in cnts:
if cv2.contourArea(c)<1500:
continue
(x,y,w,h) = cv2.boundingRect(c)
cv2.rectangle(frame,(x,y),(x+w,y+h),(255,255,0),2)
cv2.imshow("contours",frame)
cv2.imshow("dif",diff)
if cv2.waitKey(1000/12)&0xf ==ord("q"):
break
cv2.destroyAllWindows()
camera.replease()

def showimg():
img = cv2.imread("1.jpg")
cv2.namedWindow("SHE")
cv2.imshow("SHE", img)
cv2.waitKey(0)
cv2.destroyAllWindows()

if __name__ == "__main__":
fun()