30 lines
660 B
Python
30 lines
660 B
Python
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#!/usr/bin/env python3
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import cv2
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camera = cv2.VideoCapture(2)
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while True:
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if cv2.waitKey(1) & 0xFF == ord('q'):
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break
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result, image = camera.read()
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gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
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face_classifier = cv2.CascadeClassifier(
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cv2.data.haarcascades + 'haarcascade_frontalface_default.xml'
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)
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face = face_classifier.detectMultiScale(
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gray_image, scaleFactor=1.1, minNeighbors=5, minSize=(40, 40)
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)
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for x, y, w, h in face:
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cv2.rectangle(image, (x, y), (x + w, y + h), (0, 255, 0), 2)
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cv2.imshow('Face Realtime Detector', image)
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camera.release()
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cv2.destroyAllWindows()
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