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smile_detector.py
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smile_detector.py
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import numpy as np
import cv2
faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
smileCascade = cv2.CascadeClassifier('haarcascade_smile.xml')
cap = cv2.VideoCapture(0)
i = 0
while True:
ret, img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = faceCascade.detectMultiScale(
gray,
scaleFactor=1.3,
minNeighbors=5,
minSize=(30, 30)
)
for (x, y, w, h) in faces:
cv2.rectangle(img, (x, y), (x + w, y + h), (255, 0, 0), 2)
roi_gray = gray[y:y + h, x:x + w]
smile = smileCascade.detectMultiScale(
roi_gray,
scaleFactor=1.1,
minNeighbors=15,
minSize=(25, 25),
)
for (sx, sy, sw, sh) in smile:
if len(smile) > 1:
cv2.putText(img, "Smiling", (x, y - 30), cv2.FONT_HERSHEY_SIMPLEX,
2, (0, 255, 0), 3, cv2.LINE_AA)
cv2.imshow('Smile Detection', img)
k = cv2.waitKey(30) & 0xff
if k == 27: # press 'ESC' to quit
break
cap.release()
cv2.destroyAllWindows()