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