DETECTING AND BLUR THE FACE USING OPENCV AND PYTHON

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    The following python code shows the conversion process of the detected face to blur using the OpenCV module. The method is used to convert blur is GaussianBlur(Source, ksize, sigmaX).
source: The image.
ksize  : (kernel.width, kernel.height). kernel width and kernel height can differ but they must be positive and odd.

Program : 

import cv2

trainedDataset = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")

img = cv2.imread("images/Elon Musk.jpg")

faces = trainedDataset.detectMultiScale(img)

for x, y, w, h in faces:
    cv2.rectangle(img, (x, y, w, h), (50, 50, 50), 2)
    img[y:y + h, x:x + w] = cv2.GaussianBlur(img[y:y + h, x:x + w], (93, 93), 0)

    cv2.imshow("Image", img)
    cv2.waitKey(0)

Output : 


If you have any doubts in the code please refer face detection in image file using python.

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