2019-11-08 17:33:31 Python

Python

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import numpy as np import cv2 face_cascade = cv2.CascadeClassifier('C:\\Users\\matyu\\AppData\\Local\\Packages\\CanonicalGroupLimited.Ubuntu16.04onWindows_79rhkp1fndgsc\\LocalState\\rootfs\\home\\taiyoh\\.pyenv\\versions\\3.5.5\\envs\\test\\lib\\python3.5\\site-packages\\cv2\\data\\haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('C:\\Users\\matyu\\AppData\\Local\\Packages\\CanonicalGroupLimited.Ubuntu16.04onWindows_79rhkp1fndgsc\\LocalState\\rootfs\\home\\taiyoh\\.pyenv\\versions\\3.5.5\\envs\\test\\lib\\python3.5\\site-packages\\cv2\\data\\haarcascade_eye.xml') img = cv2.imread('shutterstock_1055756639.jpg') gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale(gray, 1.3, 5) 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] 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) cv2.waitKey(0) cv2.destroyAllWindows()