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1 |
| -import numpy as np |
2 | 1 | import cv2
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3 | 2 | face_cascade = cv2.CascadeClassifier(
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4 | 3 | cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
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10 | 9 | gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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11 | 10 | faces = face_cascade.detectMultiScale(gray, 1.3, 5)
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12 | 11 | for (x, y, w, h) in faces:
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13 |
| - cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2) |
14 |
| - roi_gray = gray[y:y+h, x:x+w] |
15 |
| - roi_color = img[y:y+h, x:x+w] |
| 12 | + cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2) |
| 13 | + roi_gray = gray[y:y + h, x:x + w] |
| 14 | + roi_color = img[y:y + h, x:x + w] |
16 | 15 | eyes = eye_cascade.detectMultiScale(roi_gray)
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17 | 16 | for (ex, ey, ew, eh) in eyes:
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18 |
| - cv2.rectangle(roi_color, (ex, ey), (ex+ew, ey+eh), (0, 255, 0), 2) |
| 17 | + cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2) |
19 | 18 | cv2.imshow('Web Cam Input', img)
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20 | 19 | k = cv2.waitKey(30) & 0xff
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21 | 20 | if k == 27:
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