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@ranman
Last active November 3, 2018 10:30
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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
pth = os.path.expanduser("~/Downloads/example.jpeg")
with open(pth, 'rb') as f:
img = blur_faces(f)
img.show()
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