yolov8_pytorch_python VS multer

In the last part of the article about the YOLOv8 object detection, we created a web service, that uses custom YOLOv8 model to detect objects and display their bounding boxes. You can reuse this code. Just replace the model, to the best.pt file, trained here for teeth detection, and you are ready to go!

As a base, we will use the web service, developed in the previous article, which is available in this repository. We will just rewrite the backend of this web service on different languages. That is why it's required to read the first article before continue reading this.

Some basic examples of popular packages in the Javascript community include Express (a framework for building server applications) and Multer (a middleware for handling file uploads). These packages, when integrated into your project, can significantly streamline your development process.

Here are the docs for multer

You could use multipart/form-data https://github.com/expressjs/multer

multer - Middleware for Express.js to handle file uploads

busboy is what many Express middleware's such as multer use under the hood.

Maybe multer or validate-image-type?

🔀 Repositório no GitHub

Multer has some functions used to determine what type of file(s) to expect from the API request. Here we have used the 'multer.single("file")' function to let multer know that we're expecting a single file. (The full multer documentation can be found here).

You need something that can parse formData stuff. Like multer https://github.com/expressjs/multer