OpenCV3使用

配置如下:

• opencv3.4.0
• imutils 0.4.5

简单的运动追踪

import argparse
import datetime
import imutils
import time
import cv2
ap = argparse.ArgumentParser()
ap.add_argument("-v","--video",help="path to the video file")
ap.add_argument("-a","--min-area",type=int,default=500,help="minimul area size")
args = vars(ap.parse_args())
if args.get("video",None) is None:
    camera = cv2.VideoCapture(0)
    time.sleep(0.25)
else:
    camera = cv2.VideoCapture(args["video"])
firstFrame = None
while True:
    (grabbed,frame) = camera.read()
    if not grabbed:
        break
    frame = imutils.resize(frame,width=600)
    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    gray = cv2.GaussianBlur(gray,(21,21),0)
    if firstFrame is None:
        firstFrame = gray
        continue
    frameDelta = cv2.absdiff(firstFrame,gray)
    thresh = cv2.threshold(frameDelta,25,255,cv2.THRESH_BINARY)[1]
    thresh = cv2.dilate(thresh,None,iterations = 2)
    (img,cnts, hierarchy) = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
    for c in cnts:
        if cv2.contourArea(c)<args["min_area"]:
            (x,y,w,h) = cv2.boundingRect(c)
        (x,y,w,h) = cv2.boundingRect(c)
        cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),2)
        text = "Occipied"
        cv2.putText(frame,"Room Status:{}".format(text),(10,20),cv2.FONT_HERSHEY_SIMPLEX,0.35,(0,0,255),1)
        cv2.putText(frame,datetime.datetime.now().strftime("%A %d %B &y %I:%M:%s%s"),(10,frame.shape[0]-10),cv2.FONT_HERSHEY_SIMPLEX,0.35,(0,0,255),1)
        cv2.imshow("Security Feed",frame)
        cv2.imshow("Thresh",thresh)
        cv2.imshow("Frame Delta",frameDelta)
    key = cv2.waitKey(1)&0xFF
    if key == 27:
        break
camera.release()
cv2.destroyAllWindows()

详情:https://www.pyimagesearch.com/2015/05/25/basic-motion-detection-and-tracking-with-python-and-opencv/