Facial Recognition 101

This repository is meant to bring together information from different sources and present the topic of Facial Recognition.

The goal of this repository is take the reader through a jupyter notebook which will describe the technics, tools and working code examples. By the end of the jupyter notebook the reader should be able to understand the concepts involved with facial recognition, and train new images and perform facial recognition on thier own input.

See the jupyter notebook for the actual presentation of this material

Setup

At a minimum you will need: (the requirements is provided but is used in other ML projects and might contain more than is actually necessary)

OpenCV 4.1.x
dlib
scikit-image
face_recognition
imutils

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
encodings		encodings
images		images
notebook_images		notebook_images
.gitignore		.gitignore
Facial_Recognition_101.ipynb		Facial_Recognition_101.ipynb
Readme.md		Readme.md
calculate_encoding_distance.py		calculate_encoding_distance.py
capture_webcam_face_images.py		capture_webcam_face_images.py
create_facial_encodings.py		create_facial_encodings.py
encodings_display.py		encodings_display.py
face_landmarks.py		face_landmarks.py
jupyter_extensions_setup.sh		jupyter_extensions_setup.sh
plot_hog.py		plot_hog.py
remove_name_from_encodings.py		remove_name_from_encodings.py
requirement.txt		requirement.txt
shape_predictor_68_face_landmarks.dat		shape_predictor_68_face_landmarks.dat
unpickle_encodings.py		unpickle_encodings.py
video_facial_recognition.py		video_facial_recognition.py
video_hog.py		video_hog.py
video_hog_face_detect.py		video_hog_face_detect.py

dimitriosp/facial_recognition_101

Folders and files

Latest commit

History

Repository files navigation

Facial Recognition 101

Setup

About

Resources

Stars

Watchers

Forks

Languages