datascience

FastAPI for Data Applications: From Concept to Creation. Part I

FastAPI for Data Applications: From Concept to Creation. Part I

In this blog post, we'll explore how to create an API using FastAPI, a modern Python framework designed for building APIs with high performance. We will create a simple API that allows users to add, update, and query items stored temporarily in memory. Alongside this, we'll discuss how you can extend this example to expose machine learning models, perform online processing in decision engines, and ensure best practices for a robust, secure API. Pre-requisites: Installation of FastAPI and Uvicorn Before diving into the code, we need to install FastAPI and Uvicorn, an ASGI server to run our application. Run the…
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Creating In-Video Search

Creating In-Video Search

In-video search is ability to search for a specific content within a video. This can include searching for particular words spoken, objects shown or description of a scene. With the current advancement in transformers the process of in-video search have become more accurate and fairly simple. Although most of the transformers doesn’t have a joint embedding space for multiple modalities but there are few models like Meta’s ImageBind that a joint embedding space between text, image, audio, depth, thermal and IMU, or OpenAI’s CLiP model have joint embedding space between text and image. We can use these models to create…
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