Protego

(★ 10)

[CVPR 2026] Protego is a user-centric privacy protection method that safeguards facial images from retrieval-based privacy intrusions.

File Explorer

  • .gitignore
  • protego.ipynb
  • README.md
  • requirements.txt
  • requirements_mac.txt
  • setup_quick.sh
  • train.py

# Use via CDN

jsDelivr

jsDelivr serves any public GitHub repository as a CDN with zero setup. Pick a version and a file to get a ready-to-paste link and snippet.

Command Glossary

Commands referenced in this DOCs, explained below.

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conda activate

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Activate a conda environment.
See also: `conda deactivate`.

conda activate myenv

Activate an existing environment named `myenv`:

conda activate {{path/to/myenv}}

Activate an existing environment located at custom path:

conda activate --stack myenv

Stack `myenv` environment on top of a previous environment making libraries/commands/variables from both accessible:

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conda install

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Install packages into an existing conda environment.

conda install {{package1 package2 ...}}

Install one or more package into the currently active conda environment:

conda install {{[-c|--channel]}} conda-forge {{package}}

Install a single package into the currently active conda environment using channel conda-forge:

conda install {{[-c|--channel]}} conda-forge --override-channels {{package}}

Install a single package into the currently active conda environment using channel conda-forge and ignoring other channels:

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git clone

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Clone an existing repository.

git clone {{remote_repository_location}} {{path/to/directory}}

Clone an existing repository into a new directory (the default directory is the repository name):

git clone --recursive {{remote_repository_location}}

Clone an existing repository and its submodules:

git clone {{[-n|--no-checkout]}} {{remote_repository_location}}

Clone only the `.git` directory of an existing repository:

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jupyter

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Web application to create and share documents that contain code, visualizations, and notes.
Primarily used for data analysis, scientific computing, and machine learning.

jupyter notebook

Start a Jupyter notebook server in the current directory:

jupyter notebook {{path/to/file}}.ipynb

Open a specific Jupyter notebook:

jupyter nbconvert --to {{html|markdown|pdf|script|...}} {{path/to/file}}.ipynb

Export a specific Jupyter notebook into another format:

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python

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Python language interpreter.

python

Start a REPL (interactive shell):

python {{path/to/file.py}}

Execute a specific Python file:

python -i {{path/to/file.py}}

Execute a specific Python file and start a REPL:

// repository documentation