Description:

privapy 0.0.4

privapy

Anonymize your data







Documentation
Visit Read the Docs for the full documentation, including overviews and several examples.
Installation
pip install privapy

Disclaimer
This package provides no guarantee of anonymity. It is the user's responsibility to ensure that the data is properly anonymized. The authors of this package are not responsible for any results or misuse of this package.
Usage
text
from privapy.text import TextCleaner

text = "I live in New York and work at Google. My email is john@google.com"
cleaner = TextCleaner(steps="all")
cleaned_text = cleaner.clean(text)
# 'I live in <<ENT>> and work at <<ENT>. My email is <<EMAIL>>'

image
from privapy.image import ImageCleaner
from PIL import Image

cleaner = ImageCleaner()
img = Image.open("image.jpg")
cleaned_image = cleaner.clean(img)

input image (img):

output image (cleaned_image):

Coming in future releases

text

Add more cleaning methods
Add Spacy integration


image

Add more cleaning methods

blackout
pixelate


Add more detection methods

face detection
dlib
mediapipe

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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