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Joined 1 year ago
cake
Cake day: July 14th, 2023



  • It’s easy to overlook with the omnipresent internet, but self-hosting doesn’t require internet. You could host for your fellow students on the local network. If that’s also against the Wifi rules you can either ignore that stupid rule or set up your own god damn wifi with hostapd on your machine and let students connect directly to it. It’s probably best to use a machine dedicated to the task for security reasons as you wouldn’t want curious students to accidentally erase your homework. I wouldn’t use containers or VMs for any of this, I’d just use bare metal like in the good ol’ days. You could also, without having to worry, give people shell accounts because it’s a closed network. The options are endless without all the worries of hosting on the internet.



  • I apologise. I know it was not fair to do that. What made me respond that way, I think, was that your statement was extremely simplified and even agreeable if you leave out the context of solarfarms taking up large areas of land.

    Changes away from more polluting energy sources to meet this reduced demand is a good thing.

    When you look at the picture what we see is 166 acres of land covered in black solar panels. Even though many solarfarms have grass below the panels the ground on this picture is completely barren and plain with a hard surface of what looks like compressed grus. Nothing is going to grow there.

    These huge solarfarms or solarfactories is what I’m opposing. I think solar energy fits nicely into decentralized domestic and mobile power generation, but I think it’s even worse than biofuel in taking up large areas of land. Biofuel is not using rare earth metals and contrary to solarpanels take up CO₂ when produced. To be clear I’m not advocating a farm of either one.

    If you absolutely want centralized large scale energy production I would prefer if it was done with windmills. They only take up a small ground surface area proportional to the energy produced and combined with their height allow for much more biodiversity. I’m a big fan of domestic and urban solarpanels, I think every building should have them.

    I’m sorry once again. Have a nice day.













  • 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.



  • 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 :)