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--- |
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title: Image Filtering on Encrypted Images using FHE |
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emoji: 🥷💬 |
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colorFrom: yellow |
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colorTo: yellow |
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sdk: gradio |
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sdk_version: 3.2 |
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app_file: app.py |
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pinned: true |
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tags: [FHE, PPML, privacy, privacy preserving machine learning, homomorphic encryption, |
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security] |
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python_version: 3.8.15 |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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# Image filtering using FHE |
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## Running the application on your machine |
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In this directory, ie `image_filtering`, you can do the following steps. |
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### Do once |
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First, create a virtual env and activate it: |
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<!--pytest-codeblocks:skip--> |
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```bash |
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python3 -m venv .venv |
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source .venv/bin/activate |
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``` |
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Then, install required packages: |
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<!--pytest-codeblocks:skip--> |
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```bash |
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pip3 install pip --upgrade |
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pip3 install -U pip wheel setuptools --ignore-installed |
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pip3 install -r requirements.txt --ignore-installed |
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``` |
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If you are not on Linux, you will need to generate the files manually before launching the app. |
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See section [Generating new files](#generating-new-files). |
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## Run the following steps each time you relaunch the application |
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In a terminal, run: |
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<!--pytest-codeblocks:skip--> |
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```bash |
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source .venv/bin/activate |
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python3 app.py |
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``` |
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## Interacting with the application |
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Open the given URL link (search for a line like `Running on local URL: http://127.0.0.1:8888/`). |
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## Generating new files |
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It is also possible to manually add some new filters in `filters.py`. Yet, in order to be able to use |
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them interactively in the app, you first need to update the `AVAILABLE_FILTERS` list found in `common.py` |
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and then compile them by running : |
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<!--pytest-codeblocks:skip--> |
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```bash |
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python3 generate_dev_filters.py |
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``` |
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Check it finishes well (by printing "Done!"). |
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