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Find someone who looks like using facenet

Facenet makes embedding vector and we compare between vectors to find a similar person
You can give a face iamge to web application, then web application shows someone who looks like face image

How to use?

  1. install 
    # clone this repo
git clone https://github.com/leejeongwoo1/facenet-web-project.git  
    check requirements.txt and install libraries(ex. facenet-pytorch, flask ...)
  2. include dataset: 
    Add face image at frontend/static/face_dataset to compare with client image
  3. make embedding vector (json) about face_dataset 
    Run embeddings.py to make json file which includes 512D embedding vector about dataset
You can check json file at /model
  4. Run flask web application 
    set FLASK_APP=frontend
flask run

reference

facenet-pytorch
facenet
lovelyzDetector using facenet

web preview

main page find similary person error page