|
| 1 | +import numpy as np |
| 2 | +import cv2 |
| 3 | + |
| 4 | +EyeCascade = cv2.CascadeClassifier('Cascades/EyeCascade.xml') |
| 5 | +FaceCascade = cv2.CascadeClassifier('Cascades/FaceCascade.xml') |
| 6 | +SmileCascade = cv2.CascadeClassifier('Cascades/SmileCascade.xml') |
| 7 | + |
| 8 | +cap = cv2.VideoCapture(0) |
| 9 | +cap.set(3,640) |
| 10 | +cap.set(4,480) |
| 11 | +while True: |
| 12 | + ret, img = cap.read() |
| 13 | + img = cv2.flip(img, -1) |
| 14 | + gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) |
| 15 | + faces = FaceCascade.detectMultiScale( |
| 16 | + gray, |
| 17 | + scaleFactor=1.3, |
| 18 | + minNeighbors=5, |
| 19 | + minSize=(30, 30) |
| 20 | + ) |
| 21 | + for (x,y,w,h) in faces: |
| 22 | + cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) |
| 23 | + roi_gray = gray[y:y+h, x:x+w] |
| 24 | + roi_color = img[y:y+h, x:x+w] |
| 25 | + eyes = EyeCascade.detectMultiScale( |
| 26 | + roi_gray, |
| 27 | + scaleFactor= 1.5, |
| 28 | + minNeighbors=5, |
| 29 | + minSize=(5, 5), |
| 30 | + ) |
| 31 | + for (ex, ey, ew, eh) in eyes: |
| 32 | + cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2) |
| 33 | + smile = SmileCascade.detectMultiScale( |
| 34 | + roi_gray, |
| 35 | + scaleFactor= 1.5, |
| 36 | + minNeighbors=15, |
| 37 | + minSize=(25, 25), |
| 38 | + ) |
| 39 | + for (xx, yy, ww, hh) in smile: |
| 40 | + cv2.rectangle(roi_color, (xx, yy), (xx + ww, yy + hh), (0, 255, 0), 2) |
| 41 | + cv2.imshow('video', img) |
| 42 | + k = cv2.waitKey(30) & 0xff |
| 43 | + if k == 27: |
| 44 | + break |
| 45 | + |
| 46 | +cap.release() |
| 47 | +cv2.destroyAllWindows() |
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