Skip to content

Python build deep neural network model for detecting attack in face-recognition system based on a sequence of images.

Notifications You must be signed in to change notification settings

xraychen/Face-Anti-Spoofing

Repository files navigation

Face Anti-spoofing

This is a project for face anti-spoofing, it was done as the final project of Deep Learning for Computer Vision (Fall, 2020). Check out our poster for futher details.

Run the code

# Download models file from dropbox
bash download_models.sh

# Predict anomaly score on OULU or SiW test set
bash predict_anomaly.sh [path/to/oulu_test_dir | path/to/siw_test_dir] path/to/output.csv

# Predict class label on OULU or SiW test set
bash predict_class.sh [path/to/oulu_test_dir | path/to/siw_test_dir] path/to/output.csv

About

Python build deep neural network model for detecting attack in face-recognition system based on a sequence of images.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •