Amazing-Python-Scripts

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import cv2
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face_cascade = cv2.CascadeClassifier("haarcascade_frontalface.xml")
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def detect():
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    cap = cv2.VideoCapture(0)
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    while True:
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        _, img = cap.read()
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        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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        face = face_cascade.detectMultiScale(gray, 1.1, 4)
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        for (x, y, w, h) in face:
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            cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 0), 2)
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        cv2.imshow("Face Detect", img)
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        if cv2.waitKey(1) == 27:
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            break
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    cap.release()
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detect()
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