53 lines
1.2 KiB
Python
53 lines
1.2 KiB
Python
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import cv2
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import sys
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import logging as log
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import datetime as dt
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from time import sleep
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cascPath = "haarcascade_frontalface_default.xml"
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faceCascade = cv2.CascadeClassifier(cascPath)
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log.basicConfig(filename='webcam.log',level=log.INFO)
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video_capture = cv2.VideoCapture(0)
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anterior = 0
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while True:
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if not video_capture.isOpened():
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print('Unable to load camera.')
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sleep(5)
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pass
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# Capture frame-by-frame
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ret, frame = video_capture.read()
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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faces = faceCascade.detectMultiScale(
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gray,
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scaleFactor=1.1,
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minNeighbors=5,
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minSize=(30, 30)
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)
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# Draw a rectangle around the faces
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for (x, y, w, h) in faces:
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cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)
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if anterior != len(faces):
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anterior = len(faces)
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log.info("faces: "+str(len(faces))+" at "+str(dt.datetime.now()))
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# Display the resulting frame
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cv2.imshow('Video', frame)
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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# Display the resulting frame
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cv2.imshow('Video', frame)
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# When everything is done, release the capture
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video_capture.release()
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cv2.destroyAllWindows()
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