基于python的人脸识别(检测人脸、眼睛、嘴巴、鼻子......)
发布时间:2020-12-20 10:21:58 所属栏目:Python 来源:网络整理
导读:本文链接:https://blog.csdn.net/James_Ray_Murphy/article/details/79209172 import numpy as npimport cv2# 脸face_cascade = cv2.CascadeClassifier(‘haarcascade_frontalface_default.xml‘)face_cascade.load(‘D:BROWSE/Opencv/opencv/sources/data/
本文链接:https://blog.csdn.net/James_Ray_Murphy/article/details/79209172 import numpy as np import cv2 # 脸 face_cascade = cv2.CascadeClassifier(‘haarcascade_frontalface_default.xml‘) face_cascade.load(‘D:BROWSE/Opencv/opencv/sources/data/haarcascades/haarcascade_frontalface_default.xml‘) # 眼睛 eye_cascade = cv2.CascadeClassifier(‘haarcascade_eye.xml‘) eye_cascade.load(‘D:BROWSE/Opencv/opencv/sources/data/haarcascades/haarcascade_eye.xml‘) #嘴巴 mouth_cascade = cv2.CascadeClassifier(‘haarcascade_mcs_mouth.xml‘) mouth_cascade.load(‘D:BROWSE/Opencv/opencv/sources/data/haarcascades/haarcascade_mcs_mouth.xml‘) #鼻子 nose_cascade = cv2.CascadeClassifier(‘haarcascade_mcs_nose.xml‘) nose_cascade.load(‘D:BROWSE/Opencv/opencv/sources/data/haarcascades/haarcascade_mcs_nose.xml‘) #耳朵 leftear_cascade = cv2.CascadeClassifier(‘haarcascade_mcs_leftear.xml‘) leftear_cascade.load(‘D:BROWSE/Opencv/opencv/sources/data/haarcascades/haarcascade_mcs_leftear.xml‘) rightear_cascade = cv2.CascadeClassifier(‘haarcascade_mcs_rightear.xml‘) rightear_cascade.load(‘D:BROWSE/Opencv/opencv/sources/data/haarcascades/haarcascade_mcs_rightear.xml‘) #face_cascade = cv2.CascadeClassifier("../../opencv-2.4.9/data/haarcascades/haarcascade_frontalface_default.xml") #eye_cascade = cv2.CascadeClassifier(‘../../opencv-2.4.9/data/haarcascades/haarcascade_eye.xml‘) img = cv2.imread(‘22.jpg‘) gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) #脸 faces = face_cascade.detectMultiScale(gray,1.2,3) for (x,y,w,h) in faces: img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0),2) roi_gray = gray[y:y+h,x:x+w] roi_color = img[y:y+h,x:x+w] #眼睛 eyes = eye_cascade.detectMultiScale(roi_gray,3) for (ex,ey,ew,eh) in eyes: cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,2) #嘴巴 mouth = mouth_cascade.detectMultiScale(roi_gray,1.5,5) for (mx,my,mw,mh) in mouth: cv2.rectangle(roi_color,(mx,my),(mx+mw,my+mh),255),2) #鼻子 nose = nose_cascade.detectMultiScale(roi_gray,5) for (nx,ny,nw,nh) in nose: cv2.rectangle(roi_color,(nx,ny),(nx+nw,ny+nh),2) #耳朵 leftear = leftear_cascade.detectMultiScale(roi_gray,1.01,2) for (lx,ly,lw,lh) in leftear: cv2.rectangle(roi_color,(lx,ly),(lx+lw,ly+lh),2) rightear = rightear_cascade.detectMultiScale(roi_gray,2) for (rx,ry,rw,rh) in rightear: cv2.rectangle(roi_color,(rx,ry),(rx+rw,ry+rh),2) cv2.imshow(‘img‘,img) cv2.waitKey(0) cv2.destroyAllWindows() 上效果图: ? 参考博客: 1.?点击打开链接 2.点击打开链接 (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |