[Tutorials]Haar Cascade Object Detection Face & Eye

간단하게 haarcascade_eye.xml 와 haarcascade_frontalface_default.xml 을 사용해서 detection 해봄

import cv2 import numpy as np face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml') cap = cv2.VideoCapture(0) while True : ret, img = cap.read() gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray,1.3, 5) 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) k = cv2.waitKey(30) & 0xff if k == 27: break cap.release() cv2.destroyAllWindows()

어쨋든 성공 

코드가 간단하긴한데 다른 응용에 대해 고민해보기로 ㅎㅎ

youtube link : https://www.youtube.com/watch?v=88HdqNDQsEk&index=16&list=PLQVvvaa0QuDdttJXlLtAJxJetJcqmqlQq