team14 / README.md
Roman
chore: display encrypted ouput, add sizes and resize input examples
d07e70b unverified
|
raw
history blame
1.71 kB
metadata
title: Image Filtering on Encrypted Images using FHE
emoji: 🥷💬
colorFrom: yellow
colorTo: yellow
sdk: gradio
sdk_version: 3.2
app_file: app.py
pinned: true
tags:
  - FHE
  - PPML
  - privacy
  - privacy preserving machine learning
  - homomorphic encryption
  - security
python_version: 3.8.15

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Image filtering using FHE

Running the application on your machine

In this directory, ie image_filtering, you can do the following steps.

Do once

First, create a virtual env and activate it:

python3 -m venv .venv
source .venv/bin/activate

Then, install required packages:

pip3 install pip --upgrade
pip3 install -U pip wheel setuptools --ignore-installed
pip3 install -r requirements.txt --ignore-installed

If not on Linux, or if you want to compile the FHE filters by yourself:

python3 compile.py

Check it finish well (with a "Done!").

It is also possible to manually add some new filters in filters.py. Yet, in order to be able to use them interactively in the app, you first need to update the AVAILABLE_FILTERS list found in common.py and then compile them by running :

python3 generate_dev_filters.py

Run the following steps each time you relaunch the application

In a terminal, run:

source .venv/bin/activate
python3 app.py

Interacting with the application

Open the given URL link (search for a line like Running on local URL: http://127.0.0.1:8888/).