17 lines
551 B
Python
17 lines
551 B
Python
import cv2
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img = cv2.imread("source/data_02.jpg")
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faceCascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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faces = faceCascade.detectMultiScale(gray, scaleFactor=1.09, minNeighbors=3, minSize=(5, 5))
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print(faces)
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print("该图一共有{0}人脸".format(len(faces)))
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for(x, y, w, h) in faces:
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cv2.circle(img, (int((2 * x + w) / 2), int((2 * y + h) / 2)),
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int(w / 2), (0, 255, 0), 2)
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cv2.imshow("result", img)
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cv2.waitKey()
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cv2.destroyWindow() |