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.
- python3
- dlib
- numpy
- XQuartz
python3 -m venv .venv
source .venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
python appy.py ./model/shape_predictor_5_face_landmarks.dat ./model/dlib_face_recognition_resnet_model_v1.dat ./data/picture1.jpg ./data/picture2.jpg