deepface

Face recognition application using DeepFace

DeepFace

Face Verification: The task of face verification refers to comparing a face with another to verify if it is a match or not. Hence, face verification is commonly used to compare a candidate’s face to another. This can be used to confirm that a physical face matches the one in an ID document.
Face Recognition: The task refers to finding a face in an image database. Performing face recognition requires running face verification many times.
Facial Attribute Analysis: The task of facial attribute analysis refers to describing the visual properties of face images. Accordingly, facial attributes analysis is used to extract attributes such as age, gender classification, emotion analysis, or race/ethnicity prediction.
Real-Time Face Analysis: This feature includes testing face recognition and facial attribute analysis with the real-time video feed of your webcam.

Install the DeepFace package

#Repo: https://github.com/serengil/deepface
pip install deepface

Import the library

from deepface import DeepFace

Run Face Verification with Deep Learning on DeepFace

verification = DeepFace.verify(img1_path = "img1.jpg", img2_path = "img2.jpg")