#All the imports go here import numpy as np import cv2 #Initializing the face and eye cascade classifiers from xml files face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') eye_cascade = cv2.CascadeClassifier('haarcascade_eye_tree_eyeglasses.xml') #Variable store execution state first_read = True #Starting the video capture cap = cv2.VideoCapture(0) ret,img = cap.read() while(ret): ret,img = cap.read() #Converting the recorded image to grayscale gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) #Applying filter to remove impurities gray = cv2.bilateralFilter(gray,5,1,1) #Detecting the face for region of image to be fed to eye classifier faces = face_cascade.detectMultiScale(gray, 1.3, 5,minSize=(200,200)) if(len(faces)>0): for (x,y,w,h) in faces: img = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2) #roi_face is face which is input to eye classifier roi_face = gray[y:y+h,x:x+w] roi_face_clr = img[y:y+h,x:x+w] eyes = eye_cascade.detectMultiScale(roi_face,1.3,5,minSize=(50,50)) #Examining the length of eyes object for eyes if(len(eyes)>=2): #Check if program is running for detection if(first_read): cv2.putText(img, "Eye detected press s to begin", (70,70), cv2.FONT_HERSHEY_PLAIN, 3, (0,255,0),2) else: cv2.putText(img, "Eyes open!", (70,70), cv2.FONT_HERSHEY_PLAIN, 2, (255,255,255),2) else: if(first_read): #To ensure if the eyes are present before starting cv2.putText(img, "No eyes detected", (70,70), cv2.FONT_HERSHEY_PLAIN, 3, (0,0,255),2) else: #This will print on console and restart the algorithm print("Blink detected--------------") cv2.waitKey(3000) first_read=True else: cv2.putText(img, "No face detected",(100,100), cv2.FONT_HERSHEY_PLAIN, 3, (0,255,0),2) #Controlling the algorithm with keys cv2.imshow('img',img) a = cv2.waitKey(1) if(a==ord('q')): break elif(a==ord('s') and first_read): #This will start the detection first_read = False cap.release() cv2.destroyAllWindows()