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---
title: Image Filtering On Encrypted Data Using Fully Homomorphic Encryption
emoji: 📸 🌄
colorFrom: purple
colorTo: purple
sdk: gradio
sdk_version: 3.2
app_file: app.py
pinned: true
tags: [FHE, PPML, privacy, privacy preserving machine learning, image processing,
homomorphic encryption, security]
python_version: 3.8.16
---
# Image filtering using FHE
## Run the application on your machine
In this directory, ie `image_filtering`, you can do the following steps.
### Install dependencies
First, create a virtual env and activate it:
```bash
python3 -m venv .venv
source .venv/bin/activate
```
Then, install required packages:
```bash
pip3 install pip --upgrade
pip3 install -U pip wheel setuptools --ignore-installed
pip3 install -r requirements.txt --ignore-installed
```
The above steps should only be done once.
## Generate development files
If you are not on Linux, you will need to re-generate the development files manually before launching the app.
```bash
python3 generate_dev_filters.py
```
## Run the app
In a terminal, run:
```bash
source .venv/bin/activate
python3 app.py
```
## Interact with the application
Open the given URL link (search for a line like `Running on local URL: http://127.0.0.1:8888/`).
## Generate new filters
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 :
```bash
python3 generate_dev_filters.py
```
Check it finishes well (by printing "Done!").
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