smpl
It seems that we focus our interest in two different parts of the problem.
Finding the most optimal way to classify which images are best compressed in bulk is an interesting problem in itself. In this particular problem the person asking it had already picked out similar images by hand and they can be identified by their timestamp for optimizing a comparison of similarity. What I wanted to find out was how well the similar images can be compressed with various methods and codecs with minimal loss of quality. My goal was not to use it as a method to classify the images. It was simply to examine how well the compression stage would work with various methods.
It’s a pillar of democracy to protect the autonomy of the people.
I was not talking about classification. What I was talking about was a simple probe at how well a collage of similar images compares in compressed size to the images individually. The hypothesis is that a compression codec would compress images with similar colordistribution in a spritesheet better than if it encode each image individually. I don’t know, the savings might be neglible, but I’d assume that there was something to gain at least for some compression codecs. I doubt doing deduplication post compression has much to gain.
I think you’re overthinking the classification task. These images are very similar and I think comparing the color distribution would be adequate. It would of course be interesting to compare the different methods :)
I think you just need to redirect¹ stdout from bzip2 to a file.
wget -qO- "https://opnsense.com/.../img.bz2" | bzip2 -dv > img
1: https://pubs.opengroup.org/onlinepubs/9799919799/utilities/V3_chap02.html#tag_19_07
What are your expectations for the software? I assume it’s not enough to use a group chat and tell people where you are, but from the description you’ve given that would be my suggestion.
