基于Python3+opencv 人脸检测代码

基于Python3+opencv 人脸检测代码
1.基于图片
 

import cv2 as cv
import numpy as np

def face_detect_demo(image):
gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
face_detector = cv.CascadeClassifier("E:/opencv/build/etc/haarcascades/haarcascade_frontalface_alt.xml")
faces = face_detector.detectMultiScale(gray, 1.1, 2)
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 ---------")
src = cv.imread("E:/opencv/sources/samples/data/lena.jpg")
face_detect_demo(src)

cv.waitKey(0)

cv.destroyAllWindows()
2. 基于摄像头
 


 import cv2 as cv
import numpy as np

def face_detect_demo(image):
gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
face_detector = cv.CascadeClassifier("E:/opencv/build/etc/haarcascades/haarcascade_frontalface_alt.xml")
faces = face_detector.detectMultiScale(gray, 1.1, 2)
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)
face_detect_demo(frame)
c = cv.waitKey(10)
if c == 27: # ESC
break
cv.waitKey(0)

cv.destroyAllWindows()

 
 
注：分类器在   opencv/build/etc/haarcascades/haarcascade_frontalface_alt.xml