This is an basic example on how to build an image search web service.
It uses OpenCV and FAISS for image processing and indexing.
FastAPI for the API endpoint.
The general configuration for the indexer and for the search is in faissconfig.py
To generate the index along with the pickled vector ids you will need to run the file indexer.py
ENV/bin/python indexer.py
iterating images from path.. images
training..
saving index..
once it's done you can now start the server
ENV/bin/uvicorn imagenearest.main:app --reload
The method /search accepts base64 encoded images. You can find an example in the file curl.txt
Executing a curl request to test the service
curl -H "Content-Type: application/json" --data @curl.txt http://127.0.0.1:8000/search