树莓派 python OpenCV人脸识别

2019独角兽企业重金招聘Python工程师标准>>>

# import the necessary packages
import argparse
import datetime
import imutils
import time
import cv2

# construct the argument parser and parse the arguments
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="minimum area size")
args = vars(ap.parse_args())

# if the video argument is None, then we are reading from webcam
if args.get("video", None) is None:
    camera = cv2.VideoCapture(0)
    time.sleep(0.25)

# otherwise, we are reading from a video file
else:
    camera = cv2.VideoCapture(args["video"])

cascade = cv2.CascadeClassifier("/usr/local/share/OpenCV/haarcascades/haarcascade_frontalface_alt.xml")
# loop over the frames of the video
while True:
    (grabbed, frame) = camera.read()
    if not grabbed:
        break

    frame = imutils.resize(frame, width=200)

    rects = cascade.detectMultiScale(frame)
    for (x, y, w, h) in rects:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)

    cv2.putText(frame, datetime.datetime.now().strftime("%A %d %B %Y %I:%M:%S%p"),
                (10, frame.shape[0] - 10), cv2.FONT_HERSHEY_SIMPLEX, 0.35, (0, 0, 255), 1)

    # show the frame and record if the user presses a key
    cv2.imshow("Security Feed", frame)
    key = cv2.waitKey(1) & 0xFF

# cleanup the camera and close any open windows
camera.release()
cv2.destroyAllWindows()

 

转载于:https://my.oschina.net/hanxiaodong/blog/870656