Wikipedia:Reference desk/Computing

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August 9Edit

Best way to download images from Google Arts & Culture?Edit

I want to download faithful photographic reproductions of public domain two-dimensional artworks from Google Arts & Culture (formerly known as Google Art Project) such as this one and then upload them to Wikimedia Commons. Many of the artworks made available under the old Google Art Project banner have been uploaded through concerted efforts to Commons such as ones seen here but the rebranding into Google Arts & Culture also came with many new available artworks that have not been uploaded yet.

What is the best way to download images from Google Arts & Culture at maximum zoom level? Will Dezoomify accomplish this objective? I did try Google Image search but I highly I doubt that the image I found was at maximum zoom level. StellarHalo (talk) 11:53, 9 August 2020 (UTC)

You want to web scrape the images and if you want to do it at any scale, it wouldn't surprise me if they put some obstacles like recaptcha in your way. Take a look here though. 2602:24A:DE47:BB20:50DE:F402:42A6:A17D (talk) 14:00, 10 August 2020 (UTC)
There is another hurdle... Those images are fed in tiles, not a single image. (talk) 18:37, 10 August 2020 (UTC)

August 10Edit

August 11Edit

Windows 10 Apps no longer recognises FirefoxEdit

I use Windows 10 on my work computer. Earlier this week Firefox told me that it can't be automatically updated and I would have to download an up-to-date version myself, so I did that.

Now after I installed the updated version, Firefox runs all OK when launched from the Start menu or from the taskbar, but the Apps control panel on Windows 10 has stopped admitting Firefox exists. It is nowhere to be found in the entire panel. As a result, I am unable to set Firefox as my default browser. I can set Microsoft Edge, Internet Explorer, Opera or Chrome as my default browser, but I would want to have Firefox.

What has caused this and how can I fix it? JIP | Talk 20:32, 11 August 2020 (UTC)

Python Scikit-Learn with complex classificationsEdit

I have the following problem: I have a number of complex logical riddles (in the 10000s). I have a number of strategies to solve riddles (in principle infinitely many, but in practice around a few hundred to a few thousand). Some riddles are solved by some strategies - some by many, some by all, some by none. I would like to predict which strategies can solve which riddles. Or more precisely: I want to learn an assignment from riddles to strategies so that (if it exists) each riddle is assigned a "winning" strategy. The problem I'm facing is that this is not a simple classification problem - for most riddles there are multiple correct answers. I could, of course, hack my own (e.g.) decision tree algorithm. But I know there are other smart people who have a lot more experience with machine learning than I have. So my question: Is this a problem for which scikit-learn (which I like) has a simple answer to? Or are there some good search terms to look for answers elsewhere? Thanks! --Stephan Schulz (talk) 21:00, 11 August 2020 (UTC)

August 12Edit