前期可以去GitHub上面下载好人脸识别的特征文件
import cv2
import numpy as np
face_cascade = cv2.CascadeClassifier(
r"D:\opencv\sources\data\haarcascades\haarcascade_frontalface_default.xml")
eye_cascade = cv2.CascadeClassifier(r"D:\opencv\sources\data\haarcascades\haarcascade_eye.xml")
cap = cv2.VideoCapture(0)
while True:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.1, 5)
if len(faces) > 0:
for faceRect in faces:
x, y, w, h = faceRect
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
roi_gray = gray[y:y + h // 2, x:x + w]
roi_color = img[y:y + h // 2, x:x + w]
eyes = eye_cascade.detectMultiScale(roi_gray, 1.1, 1, cv2.CASCADE_SCALE_IMAGE, (2, 2))
for (ex, ey, ew, eh) in eyes:
cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
cv2.imshow("img", img)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cv2.destroyAllWindows()