Face Recognition Test

This is a joker project to test Face Recognition library. It has the following configurations/behaviours:

• Face Recognition lib using DLIB + MKL + AVX Support through a falcon endpoint;
• Python LogBook;
• Automatic logging with fluentd + docker + elasticsearch;
• Backup on S3 using Minio.

Requirements

Docker and Docker-Compose installed and working.

HowToUse

Clone this repository and use the command docker-compose up -d inside the cloned folder to start the server.

After that, you just need to fire the client.py through the command:

    docker-compose exec face python client.py

How to change base image

Just overwrite the known/base.jpg (which is jonatahan goldsmith by default) file with the desired face.

How to test more images

Just put the desired images in the unknown dir.

How to Visualize Logs

Access the Kibana in the localhost:5601 and click on Discover Tab: the application logs will be persisted in json format inside the elasticsearch.

How it Works

TODO