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nometa-tg

This is a Python Telegram bot that provides an opportunity to automatically delete all metadata from photo and apply Fawkes tool to hide you face from face recognition apps in social networks etc.
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Info

By default, this bot automatically remove all metadata from photos and apply Fawkes at a minimal mode. You can specify Fawkes settings (FAWKES_MODE) in .env file.
At this release you can send a photo as photo or document.You will get message if tool can't find any faces.
In future release will be implemented settings manager, and may be video processing.
However, you can find full information about Fawkes tool at GitHub, and this academic paper

Requirements

  • Telegram account
  • (Recommended) Installed Docker

Usage

Choosing FAWKES_MODE

FAWKES_MODE the tradeoff between privacy and perturbation size. Select from low, mid, high. The higher the mode is, the more perturbation will add to the image and provide stronger protection.
Feel free to play with mods and choose that mostly suits you
In the image below you can see an example of how the Fawkes tool works (photo from the Fawkes GitHub page, deprecated).

Run in Docker

  • Add TOKEN to .env file. You can get token from BotFather at Telegram
  • Run docker build --tag nometa-tg . for build image
  • Run docker run --env-file .env nometa-tg to start or sudo docker run -d --restart unless-stopped --env-file .env nometa-tg if you want automatically starts container after server reboot Note: Maybe you should add sudo before all Docker-assigned commands

Run locally

Theoretically should work with Python 3.7, can't test it yet. I can't guaranty that this will be works, please use Docker

  • Create images and documents folder in project folder
  • Add TOKEN and FAWKES_MODE environment variables to your IDE config e.g. PyCharm. You can get token from BotFather at Telegram. For first run you can set FAWKES_MODE=min
    E.g. ENV_VAR: PYTHONUNBUFFERED=1;TOKEN=1234567890:xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx;FAWKES_MODE=min
  • Run pip install -r requirements.txt to install dependencies
  • Run bot.py to start

Docker control

Stop container

  • Run docker stats to view all running containers
  • Run docker kill <container_id>

Remove image

  • Run docker images to view list of all images
  • Run docker rmi -f <image_id>

Contribute

Any ideas or trouble? Please open issue or pull request

Sponsorship

You may sponsor this project at my Patreon, it will seriously support me :)

Communicate

Feel free to write me at Telegram

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