基于python的人脸识别（检测人脸、眼睛、嘴巴、鼻子......）

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, 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, 1.2, 3)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color, (ex, ey),(ex+ew, ey+eh), (0, 255, 0), 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), (0, 0, 255), 2)
#鼻子
nose = nose_cascade.detectMultiScale(roi_gray, 1.2, 5)
for (nx, ny, nw, nh) in nose:
cv2.rectangle(roi_color, (nx, ny), (nx+nw, ny+nh), (255, 0, 255), 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), (0, 0, 0), 2)

rightear = rightear_cascade.detectMultiScale(roi_gray, 1.01, 2)
for (rx, ry, rw, rh) in rightear:
cv2.rectangle(roi_color, (rx, ry), (rx+rw, ry+rh), (0, 0, 0), 2)

cv2.imshow('img', img)
cv2.waitKey(0)
cv2.destroyAllWindows()

上效果图：

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