Created
June 19, 2014 05:13
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OpenCV-Python haar classifier
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import cv2 | |
import numpy as np | |
c = cv2.VideoCapture(0) | |
# get the xmls from https://github.com/Itseez/opencv/tree/master/data/haarcascades | |
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_alt.xml') | |
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') | |
while(1): | |
_,img = c.read() | |
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | |
faces = face_cascade.detectMultiScale(gray) | |
for (x,y,w,h) in faces: | |
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] | |
eyes = eye_cascade.detectMultiScale(roi_gray) | |
for (ex,ey,ew,eh) in eyes: | |
cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2) | |
cv2.imshow('img',img) | |
if cv2.waitKey(5)==27: | |
break | |
cv2.destroyAllWindows() |
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