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clicker.py
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clicker.py
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#priceless-aryabhata-1761ed.netlify.app
import numpy as np
import cv2
import pyautogui as g
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye_tree_eyeglasses.xml')
first_read = True
cap = cv2.VideoCapture(0)
ret,img = cap.read()
while(ret):
ret,img = cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gray = cv2.bilateralFilter(gray,5,1,1)
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 = 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))
if(len(eyes)>=2):
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):
g.click()
cv2.putText(img,
"Wink detected", (70,70),
cv2.FONT_HERSHEY_PLAIN, 3,
(0,0,255),2)
else:
g.click()
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)
cv2.imshow('img',img)
a = cv2.waitKey(1)
if(a==ord('q')):
break
elif(a==ord('s') and first_read):
first_read = False
cap.release()
cv2.destroyAllWindows()