How it works

Gerty detects faces. then runs recognition on them.
if the face is not recognised
- save the face to unknown
- if there is enough examples -> run recognition
Recognition process
- determine the next id
- create a dir for that id
- move all images into that dir
- run trainer
Trainer Process
- load each image from the training pool
- associate with an id from the dir name
- run trainer

Installation

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
database		database
i18n		i18n
old		old
trainer		trainer
unit_primary_emotional_interface		unit_primary_emotional_interface
.gitignore		.gitignore
db.py		db.py
face_recogniser.py		face_recogniser.py
face_trainer.py		face_trainer.py
gerty.py		gerty.py
haarcascade_frontalface_default.xml		haarcascade_frontalface_default.xml
just_trainer.py		just_trainer.py
readme.md		readme.md
short_term_memory.py		short_term_memory.py
speak.py		speak.py
upei.py		upei.py
vision.py		vision.py