Amazing-Python-Scripts

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import cv2
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cap = cv2.VideoCapture(0)
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face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_alt.xml")
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while True:
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    # capture camera frame, and ret store true and false
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    r, frame = cap.read()
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    gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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    if r == False:
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        continue
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    faces = face_cascade.detectMultiScale(gray_frame, 1.3, 5)
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    # """ The first argument is the image, the second is the
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    # scalefactor (how much the image size will be reduced at each image scale),
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    # and the third is the minNeighbors (how many neighbors each rectangle should have)"""
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    for (x, y, w, h) in faces:
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        cv2.rectangle(frame, (x, y), (x+w, y+h),
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                      (255, 125, 0), 2)  # color and width
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        cv2.putText(frame, "DETECTED", (x, y-10),
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                    cv2.FONT_HERSHEY_SIMPLEX, 1, (100, 125, 255), 1, cv2.LINE_AA)
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    cv2.imshow("video frame", frame)
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    key_pressed = cv2.waitKey(1) & 0xFF
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    # """cv2.waitKey() returns a 32 Bit integer value (might be dependent on the platform).
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    # The key input is in ASCII which is an 8 Bit integer value. So you only care
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    # about these 8 bits and want all other bits to be 0. This you can achieve with:0xFF"""
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    # ord converts characters in unicode
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    if key_pressed == ord('n'):
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        break
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cap.release()
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cv2.destroyAllWindows()
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