python3人脸识别的两种方法
本文实例为大家分享了python3实现人脸识别的具体代码，供大家参考，具体内容如下
第一种：
import cv2
import numpy as np
filename = 'test1.jpg'
path = r'D:\face'
def detect(filename):
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
face_cascade.load(path + '\haarcascade_frontalface_default.xml')
img = cv2.imread(filename)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for (x, y, w, h) in faces:
img = cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
cv2.namedWindow("vikings detected")
cv2.imshow("vikings detected", img)
cv2.waitKey(0)
detect(filename)
结果：
第二种 参考贾志刚opencv教程
# -*- coding:utf-8 -*-
import cv2 as cv
import numpy as np
src = cv.imread('test1.jpg')
path = r'D:\face'
def face_detect_demo():
gray = cv.cvtColor(src,cv.COLOR_BGR2GRAY)
face_detector = cv.CascadeClassifier('haarcascade_frontalface_default.xml')
face_detector.load(path + '\haarcascade_frontalface_default.xml')
faces = face_detector.detectMultiScale(gray,1.3,5)
for x,y,w,h in faces:
cv.rectangle(src,(x,y),(x+w,y+h),(0,0,255),2)
cv.imshow("result",src)
print("--------------python face detect-------------")
cv.namedWindow("input image",0)
cv.namedWindow("result",0)
cv.imshow("input image",src)
face_detect_demo()
cv.waitKey(0)
cv.destroyAllWindows()
结果：
以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持【听图阁-专注于Python设计】。
