27 lines
696 B
Python
27 lines
696 B
Python
import cv2
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import numpy as np
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import sys,os,numpy
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from glob import glob
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from skimage import io
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#read test photo
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pwd = sys.path[0]
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img = cv2.imread(pwd + "/Facial_test_images/photo2.jpg")
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color = (0, 255, 0)
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grey = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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classfier = cv2.CascadeClassifier(pwd + "/Facial_models/haarcascade_frontalface_alt2.xml")
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faceRects = classfier.detectMultiScale(grey, scaleFactor=1.2, minNeighbors=3, minSize=(32, 32))
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if len(faceRects) > 0:
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for faceRect in faceRects:
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x, y, w, h = faceRect
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cv2.rectangle(img, (x - 10, y - 10), (x + w + 10, y + h + 10), color, 3)
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cv2.imwrite('output.jpg',img)
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cv2.imshow("face_image",img)
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cv2.waitKey(0)
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