Python+OpenCV 人脸、眼睛识别代码

学习《OpenCV 3 计算机视觉 Python语言实现》第五章：人脸检测和识别

有一小节：视频中的人脸与眼睛检测

书中代码：

import cv2

path='D:\Build\OpenCV\opencv-3.4.1\modules\objdetect\src\cascadedetect'

def detect():
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
face_cascade.load(path+'\haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
eye_cascade.load(path+'\haarcascade_eye.xml')
camera = cv2.VideoCapture(0)
while(True):
ret,frame = camera.read()
gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray,1.3,5)
for (x,y,w,h) in faces:
img = cv2.rectangle(frame,(x,y),(x+w,y+h),(255,0,0),2)
roi_gray = gray[y:y+h,x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray,1.3,3,0,(20,20))
for(ex,ey,ew,eh) in eyes:
cv2.rectangle(img,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imshow("camera",frame)
if cv2.waitKey(1) & 0xff == ord("q"):
break
camera.release()
cv2.destroyAllWindows()

if __name__ == "__main__":

detect()

在实现时候，眼睛检测框会跳出人脸检测框外；

修改后的代码：

import cv2

path='D:\Build\OpenCV\opencv-3.4.1\modules\objdetect\src\cascadedetect'

def detect():
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
face_cascade.load(path+'\haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
eye_cascade.load(path+'\haarcascade_eye.xml')
camera = cv2.VideoCapture(0)
while(True):
ret,frame = camera.read()
gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray,1.3,5)
for (x,y,w,h) in faces:
img = cv2.rectangle(frame,(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] #定义原始图像中roi区域
eyes = eye_cascade.detectMultiScale(roi_gray,1.3,3,0,(20,20))
for(ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)#眼睛检测在原始图像中roi区域
cv2.imshow("camera",frame)
if cv2.waitKey(1) & 0xff == ord("q"):
break
camera.release()
cv2.destroyAllWindows()

if __name__ == "__main__":
detect()

修改后的代码可实现书中描述的内容。