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Welcome to the hello-world wiki! import cv2 from PIL import Image import numpy as np

image path for any filter you want to use

maskPath = "C:/Users/laptop care/Desktop/python/Snapchat-Filters-PNG-Image-180x180.png"

haarcascade path

cascPath = "haarcascade_frontalface_default.xml"

cascade classifier object

faceCascade = cv2.CascadeClassifier(cascPath) #for eye detection of person eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

Open mask as PIL image

mask = Image.open(maskPath)

def thug_mask(image): """ function to add any additional filter like snapchat to input image """

# convert input image to grayscale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# detect faces in grayscale image
faces = faceCascade.detectMultiScale(gray, 1.15)

# convert cv2 image to PIL image
background = Image.fromarray(image)

for (x,y,w,h) in faces:
	# resize filter image
	resized_mask = mask.resize((w,h), Image.ANTIALIAS)
	# define offset for filter image
	offset = (x-10,y-10)
	# paste filter image on background
	background.paste(resized_mask, offset, mask=resized_mask)

# return background as cv2 image
return np.asarray(background)

VideoCapture object

cap = cv2.VideoCapture(cv2.CAP_ANY)

while True: # read return value and frame ret, frame = cap.read()

if ret == True:
	# show frame with snapchat filter
	cv2.imshow('Live', thug_mask(frame))

	# check if esc key is pressed
	if cv2.waitKey(1) == 'q':
		break

release cam

cap.release()

destroy all open opencv windows

cv2.destroyAllWindows()