Optimizing images for the web is a common step in website design and development, but it can also be one of the most tedious. With all the steps like resizing, compressing, stripping metadata, and exporting multiple formats, it can eat chunks of time that rack up quickly when you’re just trying to work your blog, portfolio, or even a small business website.
This lab exercises will show you how to not only make that process easier, but automate it in a way that can be replicated on your own system or even a Linux server.
For this Linux Lab project, we’ll be building a simple, fully automated image processing pipeline that does the following:
By the time we’re finished, you’ll have a reusable automation that you can implement on your desktop or server, with minimal overhead, no need for configuration, and no need for Docker or any external services.
Before you dive in, there are a few dependencies that should be taken care of first. The details may differ slightly for your distro, so please be aware that you may need to consult your distro’s documentation where necessary to install the correct packages. Once this stage is done, however, you should be able to follow everything just the same on most distributions.
You’ll need to install:
On Ubuntu systems, you can run:
On Fedora, you can use:
Once you’ve installed these packages, you’re ready to move on to setting up the project folders.
For this endeavor, we’ll build a single parent folder with three sub-directories. Technically, you can place the three sub-directories anywhere you like, but for keeping things organized, we’ll keep them in a dedicated folder for this tutorial.
The structure we’ll use looks something like this:
To create these folders, you just need to run the following command:
This will automatically create the sub-directories with ~/image-lab for you.
Already have an account? Sign in
—
**📚 Original Source:**
[Building an Automated Image Optimization Pipeline](https://linuxhandbook.com/labs/automated-image-optimization/)
About The Author
