It’s a pillar of democracy to protect the autonomy of the people.
It’s a pillar of democracy to protect the autonomy of the people.
It is a human right…
Wait… this is exactly the problem a video codec solves. Scoot and give me some sample data!
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 :)
The first thing I would do writing such a paper would be to test current compression algorithms by create a collage of the similar images and see how that compares to the size of the indiviual images.
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.
I think that B is a problem for everyones eyes :)
I take it you haven’t heard about Free Beer.
Desktop Applications
One of the most controversial changes of Chrome’s MV3 approach is the removal of blocking WebRequest, which provides a level of power and flexibility that is critical to enabling advanced privacy and content blocking features. Unfortunately, that power has also been used to harm users in a variety of ways. Chrome’s solution in MV3 was to define a more narrowly scoped API (declarativeNetRequest) as a replacement. However, this will limit the capabilities of certain types of privacy extensions without adequate replacement.
Mozilla will maintain support for blocking WebRequest in MV3. To maximize compatibility with other browsers, we will also ship support for declarativeNetRequest. We will continue to work with content blockers and other key consumers of this API to identify current and future alternatives where appropriate. Content blocking is one of the most important use cases for extensions, and we are committed to ensuring that Firefox users have access to the best privacy tools available.
https://blog.mozilla.org/addons/2022/05/18/manifest-v3-in-firefox-recap-next-steps/
Librewolf explicitly reject donations.
The quote is a derivative of something Bjarne Stroustrup said himself¹.
C makes it easy to shoot yourself in the foot; C++ makes it harder, but when you do it blows your whole leg off
The other commenters in this thread seems to be giving you good advice and moral support, so I’m just going to give my input which comes from a perspective that’s a bit different.
Sometimes especially when the options we have are contrary to our beliefs, we have to consider if we really need to be a part of it. Sometimes the burden is the smartphone itself. I don’t use smartphones and I couldn’t be happier, somehow my life didn’t end. The last one I had was the N900 and even though it was a pretty cool pocketcomputer, I guess it’s now been around 10 years since I last had a smartphone. I don’t miss it and especially not when I see other people who have one. It’s scary so addictive it seems to be. Pen and paper for data sharing and just calling people can accomplish many tasks.
Old people with bad eyesight also need banking, so I’d hope theres a bank out there who don’t require a smartphone. In my country banks use the national id for authentication and you can get a TOTP keychain for the 2FA instead of an app, perhabs similar options exist.
Anyway, I hope you find something that works for you. Life is a process.
I use WebScrapBook on LibreWolf. It let you choose between saving to single html, maff and htz. I prefer the htz format where resources are stored next to the page in an archive. It can also be viewed natively by Firefox-based browsers using the URI scheme jar:file:///home/me/somepage.htz!/index.html
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My recommendation:
That’s the last stage of being a FOSS developer.
From what I read these articles talk about post infection use of OpenNIC tlds. Anyway it was just a suggestion, it’s always a good idea to only use DNS servers you trust :)
I don’t understand how that would be a security risk to you. Even if I understood what the threat vector was, it would be very inefficient to use an OpenNIC tld to spread malware as you only target 0.0001% (random very low number) of internet users.
You’re in trouble already as a business, wasting a lot of money, if you don’t know where your target audience is. What you argue is that this is used for a business to probe where an advertisement would work. I’d argue that that is a very expensive way of finding your target audience, because you still have to pay for all the ads that didn’t work. There are much better ways of figuring out where your target audience is.
I think most people believe that this obsessive data collection is neccessary, only because Google has repeatedly painted that narrative. This better advertising is just coincidentally the form of advertising that Google is in the best position to supply.
If you carefully pick the places you advertise and do statistics on how it affect your business while a campaign runs I’m willing to bet you get a much better return. As a bonus to saving money you didn’t have to shit on an important principle in democracy, the autonomy of the people, protected by something called privacy.
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.