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face-matching's Introduction

Face Matching using DLib

Compute the 128D vector that describes the faces in each image identified by shape. In general, if two face descriptor vectors have a Euclidean distance between them less than 0.6 then they are from the same person, otherwise they are from different people.

Dependencies

  • python3
  • dlib
  • numpy
  • XQuartz

Example Input

input_example

Example Output

output_example

How to run

  1. python3 -m venv .venv
  2. source .venv/bin/activate
  3. pip install --upgrade pip
  4. pip install -r requirements.txt
  5. python appy.py ./model/shape_predictor_5_face_landmarks.dat ./model/dlib_face_recognition_resnet_model_v1.dat ./data/picture1.jpg ./data/picture2.jpg

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