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    Detect Face With Opencv and Python 3.6

    Uploaded by

    Buzatu Giani
    This Python code uses OpenCV to detect faces and eyes from a webcam video stream. It loads pretrained XML classifiers for faces and eyes, then detects those areas in each frame before drawing rectangles around them and displaying the processed frame back to the user. The program runs in a loop, continuously capturing frames, detecting faces and eyes, and displaying the results until the user presses 'q' to quit.

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    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd

    Detect Face With Opencv and Python 3.6

    Uploaded by

    Buzatu Giani
    7 views1 page
    This Python code uses OpenCV to detect faces and eyes from a webcam video stream. It loads pretrained XML classifiers for faces and eyes, then detects those areas in each frame before drawing rectangles around them and displaying the processed frame back to the user. The program runs in a loop, continuously capturing frames, detecting faces and eyes, and displaying the results until the user presses 'q' to quit.

    Original Description:

    ccxzcxzc

    Original Title

    Face and Eye

    Copyright

    © © All Rights Reserved

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    This Python code uses OpenCV to detect faces and eyes from a webcam video stream. It loads pretrained XML classifiers for faces and eyes, then detects those areas in each frame before drawing rectangles around them and displaying the processed frame back to the user. The program runs in a loop, continuously capturing frames, detecting faces and eyes, and displaying the results until the user presses 'q' to quit.

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    7 views1 page

    Detect Face With Opencv and Python 3.6

    Uploaded by

    Buzatu Giani
    This Python code uses OpenCV to detect faces and eyes from a webcam video stream. It loads pretrained XML classifiers for faces and eyes, then detects those areas in each frame before drawing rectangles around them and displaying the processed frame back to the user. The program runs in a loop, continuously capturing frames, detecting faces and eyes, and displaying the results until the user presses 'q' to quit.

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    of 1

    DETECT FACE WITH OPENCV AND PYTHON 3.

    import cv2

    face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
    eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

    def detect(gray, frame):


    faces = face_cascade.detectMultiScale(gray, 1.3,5)
    for (x,y,w,h) in faces:
    cv2.rectangle(frame,(x,y), (x+w, y+h), (255,0,0), 2)
    roi_gray = gray[y:y+h, x:x+w]
    roi_color = frame[y:y+h, x:x+w]
    eyes = eye_cascade.detectMultiScale(roi_gray, 1.1,3)
    for (ex,ey,ew,eh) in eyes:
    cv2.rectangle(roi_color,(ex,ey), (ex+ew,ey+eh), (0,255,0), 2)
    return frame

    video_capture = cv2.VideoCapture(1)
    while True:
    _, frame = video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    canvas = detect(gray, frame)
    cv2.imshow('Video Capture', canvas)
    if cv2.waitKey(1) & 0XFF == ord('q'):
    break
    video_capture.release()
    cv2.destroyAllWindows()

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