Face Recognition with Redis

In this video, we explore how to perform deep face recognition on a Redis database using Python and the deepface library. Redis is an in-memory data structure store that is often used as a high-performance cache or message broker. We show how to use deepface to generate facial embeddings for images stored in Redis, and then use these embeddings to perform face recognition on a query image.

We walk through the process of installing and configuring Redis, setting up a Python client to connect to the Redis server, and using deepface to generate embeddings for facial images. We then demonstrate how to perform face recognition on a query image by computing the Euclidean distance between the embeddings of the query image and the images stored in Redis.

We also discuss some of the benefits of using Redis for face recognition, including its speed and scalability, and provide some tips for optimizing performance when working with large datasets. Whether you are looking to integrate facial recognition into an existing Redis-based application or simply interested in learning more about the intersection of deep learning and databases, this video is for you.

Tutorial: https://sefiks.com/2021/03/02/deep-face-recognition-with-redis/

– Vector Similarity Search with Postgres: https://youtu.be/f41sLxn1c0k
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– Vector Similarity Search with Cassandra: https://youtu.be/VQqHs6-4Ylg
– Vector Similarity Search with Neo4j: https://youtu.be/X-hB2kBFBXs

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