Protego
[CVPR 2026] Protego is a user-centric privacy protection method that safeguards facial images from retrieval-based privacy intrusions.
File Explorer
- banner.png
- Bradley_Cooper_Chameleon.gif
- Bradley_Cooper_OPOM.gif
- Bradley_Cooper_Protego.gif
- intro-git.png
- .gitkeep
- .gitkeep
- .gitkeep
- __init__.py
- mtcnn.py
- nets.py
- .gitkeep
- __init__.py
- net.py
- __init__.py
- .gitkeep
- __init__.py
- net.py
- .gitkeep
- __init__.py
- arcface.py
- iresnet.py
- mobilefacenet.py
- mobilenet.py
- __init__.py
- download.py
- inception_resnet_v1.py
- .gitkeep
- __init__.py
- IR.py
- IR_drop.py
- .gitkeep
- __init__.py
- iresnet.py
- .gitkeep
- __init__.py
- mobilenet.py
- vit_face.py
- vits_face.py
- __init__.py
- __init__.py
- FaceDetection.py
- FacialRecognition.py
- FlameRenderer.py
- protego_train.py
- run_exp.py
- utils.py
- UVMapping.py
- .gitkeep
- config_pretrain.yaml
- config_train.yaml
- apply_fan_to_dataset.py
- apply_mediapipe_to_dataset.py
- __init__.py
- base_dataset.py
- celeba_dataset.py
- data_utils.py
- ffhq_dataset.py
- identity_CelebA.txt
- lrs3_dataset.py
- mead_dataset.py
- mead_sides_dataset.py
- mixed_dataset_sampler.py
- FLAME.py
- lbs.py
- ExpressionLoss.py
- resnet.py
- VGGPerceptualLoss.py
- arcface.py
- mica.py
- renderer.py
- util.py
- masking.py
- utils.py
- base_trainer.py
- smirk_encoder.py
- smirk_generator.py
- smirk_trainer.py
- mediapipe_utils.py
- __init__.py
- demo.py
- demo_video.py
- LICENSE
- quick_install.sh
- readme.md
- requirements.txt
- train.py
- build_face_db.py
- crop_folder.py
- protect_imgs.py
- protect_vids.py
- .gitignore
- protego.ipynb
- README.md
- requirements.txt
- requirements_mac.txt
- setup_quick.sh
- train.py
# Use via CDN
jsDelivrjsDelivr 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.
conda activate
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conda activate
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:
conda install
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conda install
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:
git clone
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git clone
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:
jupyter
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jupyter
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:
python
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python
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:
