face-api VS Express

I have an input that takes multiple files, after I filter the ones that are .jpg, .png, .webp, etc., I want to check if there are human faces in those images. I found this repo: https://github.com/vladmandic/face-api but if I add a file I get this error:

Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc.

We will be using vladmandic-face-api as it is compatible with tfjs 2.0.

On the index.js, environment variables are loaded, then we can find the API routing powered with Express. Here is the /send request:

Express: A lightweight framework for building web applications.

Now, we will create API using expressjs. When we created application using --ssr flag, the Angular CLI already took care of installing expressjs for us.

First, we import express. The Express framework allows us to create routes that will respond to webhook POST requests and serve an HTML file when a GET request is made to the root of the site.

Basic Knowledge of Express

Express.js Documentation

In the JavaScript ecosystem, there are guides for enabling SAML-based enterprise single sign-on in AdonisJS, Express.js, Next.js, Remix, and React with an Express.js backend.

Starting off strong with Express.js, the cool kid on the block for building web apps. It's lightweight, flexible, and doesn't throw a tantrum when you ask it to scale. With Express, you can handle HTTP requests like a pro, play around with middleware, set up routes without breaking a sweat, and render views that make your app look stunning. Big names like Netflix and Uber are already on board, and if it's good enough for them, it's definitely worth a peek.

express - one of the most popular middleware tools, lightweight and easy to learn. docs