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extra.py
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import cv2
face_cascade = cv2.CascadeClassifier('face_cascade/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('eyes_cascade/haarcascade_eye.xml')
video = cv2.VideoCapture(0)
while True:
ret, frame = video.read()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30))
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, scaleFactor=1.1, minNeighbors=10, minSize=(20, 20))
for (ex, ey, ew, eh) in eyes:
center = (ex + ew // 2, ey + eh // 2)
radius = ew // 2
cv2.circle(roi_color, center, radius, (0, 255, 0), 2)
cv2.imshow('Video - Reconocimiento Facial y de Ojos', frame)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
video.release()
cv2.destroyAllWindows()