blurryface.py

import os

from PIL import Image, ImageFilter
import boto3
rek = boto3.client("rekognition")

def get_face_boxes(faces, source_size):
    return [
        (
            int(f['BoundingBox']['Left'] * source_size[0]),
            int(f['BoundingBox']['Top'] * source_size[1]),
            int((f['BoundingBox']['Left'] + f['BoundingBox']['Width']) * source_size[0]),
            int((f['BoundingBox']['Top'] + f['BoundingBox']['Height']) * source_size[1]),
            f['Pose']['Roll']
        )
        for f in faces
    ]


def blur_faces(image):
    im = Image.open(image)
    source_size = im.size[0], im.size[1]
    image.seek(0)
    resp = rek.detect_faces(Image={"Bytes": image.read()})
    faces = [face for face in resp['FaceDetails'] if face['Confidence'] > 90]
    
    for face_box in get_face_boxes(faces, source_size):
        print("Blurring Face")
        face_img = im.copy()
        blurred_face = face_img.crop(face_box[:4])
        blurred_face = blurred_face.filter(ImageFilter.GaussianBlur(20))
        im.paste(blurred_face, (face_box[0], face_box[1]))
    return im

run.py

pth = os.path.expanduser("~/Downloads/example.jpeg")
with open(pth, 'rb') as f:
    img = blur_faces(f)
img.show()