pip3 install -r requirements.txt

Before running, let's check usage.py out:

1. Import sys lib for give argument from command line:

import sys

2. Import cv2:

import cv2

3. Import face_blurer lib to blur the faces:

import face_blurer

4. Get given argument:

image_path = sys.argv[1]

5. Read image from given path:

image = cv2.imread(image_path)

6. Blur the faces in image:

image = face_blurer.blur_face(image)

7. Finally write result image to directory and show it on window:

cv2.imwrite("result.jpg", image)

cv2.imshow("Result", image)
cv2.waitKey(0)

NOTE: When running of usage.py you have to give image as parameter. It shown below.

For Linux:

python3 usage.py img.png

For Windows:

python usage.py img.png

Before running, let's check usage_live.py out:

1. Import libraries as above
2. Realize default steps for real time caturing
3. Blur each frame before showing:

frame = face_blurer.blur_face(frame, 3)

4. Get number of faces for each frame:

num_of_faces_frame = face_blurer.num_of_faces(frame)

5. Show number of faces for each frame:

frame = cv2.putText(frame, str(num_of_faces_frame), 
                    (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 2, (255, 0, 0), 3)

6. At final step, show result frame by frame:

cv2.imshow('frame', frame)

blur_face() method parameters:

blur_face(image_path, level=1)

1. first parameter is image
2. level of bluring, default is '1' (0 = low, 1 = mid, 2 = high)

num_of_faces method parameters:

This method return number of faces in given image.

num_of_faces(image)

• it just get a parameter, image