18 lines
541 B
Python
18 lines
541 B
Python
import cv2
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face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
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img = cv2.imread("Screenshot from 2018-07-20 14-00-25.png")
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gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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faces = face_cascade.detectMultiScale(gray_img,
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scaleFactor=1.05,
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minNeighbors=5)
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for x, y, w, h in faces:
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img = cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 3)
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# print(type(faces))
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cv2.imshow("face_detector", img)
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cv2.waitKey(0)
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cv2.destroyAllWindows()
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