FACE DETECTION IN VIDEO USING PYTHON

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# Face detection in video
import cv2

# trained dataset (from github)
trained_dataset = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

# getting video
video = cv2.VideoCapture(r'video\face-demographics-walking-and-pause.mp4')

while True:
    success, frame = video.read()

    if success == True:
        # converting color frame to grayscale frame
        gray_frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        # getting values of x-axis, y-axis, width, height
        faces = trained_dataset.detectMultiScale(gray_frame)
        """ print(faces) -> return values of x-axis, y-axis, width, height """

        # creating rectangle around the face
        for x, y, w, h in faces:
            cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)

        # showing face dectected video
        cv2.imshow('Video', frame)
        cv2.waitKey(1)
    else:
        break

Comments

Rocky said…
Face detection vera level bro
July 30, 2021 at 8:04 PM
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