Skip to content

davidevaleriani/face_recognition_BCI_ResNet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

face_recognition_BCI_ResNet

Data and Python scripts accompanying PLoS ONE paper Cyborg groups enhance face recognition in crowded environments.

The main experimental script is exp.py, and the protocol of the experiment is described in the paper.

The folder imagesBW contains the black-and-white images (with normalized grayscale) used for the paper. However, these were created from original coloured images, which are in the folder images.

The script automatic_face_recognition.py uses the face_recognition library and pre-trained ResNet model to automatically classify each image, and also estimate the confidence of the algorithm.

About

Data and Python scripts accompanying PLoS ONE paper "Cyborg groups enhance face recognition in crowded environments"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages