import cv2 as cv
import numpy as np
def face_detect_demo(image):
gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
face_detector = cv.CascadeClassifier("/opt/anaconda3/lib/python3.11/site-packages/cv2/data/haarcascade_frontalface_default.xml")
faces = face_detector.detectMultiScale(gray, 1.2, 6)
for x, y, w, h in faces:
cv.rectangle(image, (x, y), (x+w, y+h), (0, 0, 255), 2)
cv.imshow("result", image)
print("--------- Python OpenCV Tutorial ---------")
capture = cv.VideoCapture(0)
cv.namedWindow("result", cv.WINDOW_AUTOSIZE)
while(True):
ret, frame = capture.read()
frame = cv.flip(frame, 1)#左右翻转
face_detect_demo(frame)
c = cv.waitKey(10)
if c == 27: # ESC
break
cv.waitKey(0)
cv.destroyAllWindows()