How I Build Image Processing Pipeline

How I Build Image Processing Pipeline

This is a post that I have been putting off for a while, but I think the time has come to share this with the community. Two years ago I sat down to start a new project, an experiment involving image downscaling and Node.js, and since then it has become my primary open-source project.

This is a post that I have been putting off for a while, but I think the time has come to share this with the community. Two years ago I sat down to start a new project, an experiment involving image downscaling and Node.js, and since then it has become my primary open-source project.

I wanted to generate responsive images for my website to offer a better experience. It came to life as a set of Node.js scripts, and over the course of several iterations, evolved into an open-source package released on npm under the name Responsive Image Builder.

It was created out of necessity due to a lack of existing open-source solutions.

Let me be clear, there are a variety of image tools, loaders, and third-party services. However, none of them, in my opinion, fulfilled my needs. Furthermore, I was in love with gatsby-image and the primitive library by Michael Fogleman (which was difficult to integrate into existing solutions).

This led me to create my own solution to solve my rather unique requirements:

  • 🔥 Fast (obviously...)
  • 💎Best image algorithms (Lanczos3 😎)
  • 🌁 Support beautiful SVG placeholders such as the primitiuve library
  • 🙏 Simple
  • OS-agnostic, free, parallization, no network round-trips, no upscaling, ...

My goal was to glue together existing image libraries into a unified toolset that could be customised to allow processing of images in different ways.

Psst! You can read more about the motivation behind the project [here_](https://ipp.vercel.app/blog/2020/09/12/motivation?ref=hackernoon.com)._

Today it goes by a different name that better reflects its new functionality (and partly due to a reserved package scope ️🤦‍♂️): Image Processing Pipeline. The processing "workflow" is now completely customisable and it has also just had a major release that refactored the internals, making it easier to implement adapters, such as the new webpack loader!

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