Detecting a mouth
Following is the code:
import cv2 import numpy as np mouth_cascade = cv2.CascadeClassifier('./cascade_files/haarcascade_mcs_mouth.xml') if mouth_cascade.empty(): raise IOError('Unable to load the mouth cascade classifier xml file') cap = cv2.VideoCapture(0) ds_factor = 0.5 while True: ret, frame = cap.read() frame = cv2.resize(frame, None, fx=ds_factor, fy=ds_factor, interpolation=cv2.INTER_AREA) gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) mouth_rects = mouth_cascade.detectMultiScale(gray, 1.7, 11) for (x,y,w,h) in mouth_rects: y = int(y - 0.15*h) cv2.rectangle(frame, (x,y), (x+w,y+h), (0,255,0), 3) break cv2.imshow('Mouth Detector', frame) c = cv2.waitKey(1) if c == 27: break cap.release() cv2.destroyAllWindows()
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