Python基于OpenCV的人脸检测

检测代码

import cv2import sysimagePath = "timg.jpg" #包含人脸的图像文件cascPath = "haarcascade_frontalface_default.xml" #参数配置文件# 创建haar cascadefaceCascade = cv2.CascadeClassifier(cascPath)# 读图像并转为灰度图像image = cv2.imread(imagePath)gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)# 检测图像中的人脸faces = faceCascade.detectMultiScale(    gray,    scaleFactor=1.1,    minNeighbors=8,    minSize=(30, 30) #移动窗口的大小    #flags = cv2.CV_HAAR_SCALE_IMAGE)print("Found {0} faces!".format(len(faces)))# 根据上一步返回的值，画出矩形框for (x, y, w, h) in faces:    cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2)cv2.imshow("Faces found", image)cv2.waitKey(0)

配置文件参考

https://github.com/opencv/opencv/tree/master/data/haarcascades