Real Time Face Bluring - Using Python | Gaussian blur in python

Blur Face:

In some videos, you may see that someone's face is blurred for privacy purposes. You can make the same thing in python and this project can create your next-level resume. So let's see how we can build this project in python

Modules:

In this post, we only use one module that is OpenCV(Open source computer version)

Approach:

1. First we will use capture the video with the help of OpenCV 

cap = cv2.VideoCapture(0)

     2. Then we will use a cascade file "haarcascade_frontalface_default.xml" to recognize the faces in the video, you can find it from here

     3. For blurring the faces we will use the Gaussian blur algorithm

blur = cv2.GaussianBlur(ROI,(91,91),0)

Code

import cv2

cap = cv2.VideoCapture(0)

faceCascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

while True:

    success,img = cap.read()

    faces = faceCascade.detectMultiScale(img,1.2,4)

    for(x,y,w,h) in faces:

        ROI = img[y:y+h, x:x+w]

        blur = cv2.GaussianBlur(ROI,(91,91),0)

        img[y:y+h, x:x+w] = blur

    if faces == ():

        cv2.putText(img,"No face found",(20,50),cv2.FONT_HERSHEY_COMPLEX,1,(0,0,255))

    cv2.imshow('Blur Face',img)

    if cv2.waitKey(1) & 0xff==ord('q'):

        break

cap.release()

cv2.destroyAllWindows()

Output:

Github:

You can also get the code from here

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