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kitchen_sink

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Show HN: Avalog, analog chess with Steam Multiplayer

github.com
2 ポイント·投稿者 kitchen_sink·3 年前·0 コメント

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kitchen_sink
·2 年前·議論
It’s still a WIP but skops (https://skops.readthedocs.io/en/stable/) may be of interest (for secure sklearn serialization)
kitchen_sink
·2 年前·議論
When I was just starting out I made a similar app (https://github.com/rmdocherty/buck3t) using classic computer vision operations like k-means and Canny edge detection rather than (I assume) ML. It also lets you fill in the returned coloring page in the browser.

It’s simple and works relatively well but is prone to fail on high frequency objects like foliage, where the ML approach appears to a) succeed and b) stylise (seems to cause problems).

The free trial on the cloud function expired so the web app doesn’t work and the source JS code is awful but someone (maybe me) could pretty easily rewrite the cloud function into a flask server to allow local hosting.
kitchen_sink
·3 年前·議論
Pixel wise lose (MSE/PSNR) is one option, though most also use Structural Similarity Index (SSIM) as it’s more robust.

[1] https://en.m.wikipedia.org/wiki/Peak_signal-to-noise_ratio

[2] https://en.m.wikipedia.org/wiki/Structural_similarity
kitchen_sink
·3 年前·議論
To be fair, the way legal system works means if a lawyer isn’t trying to ‘win’ your case, they’re not being a good lawyer - the assumption your client is innocent and you need to defend them is kinda fundamental.

How morality informs the law and the ways lawyers should behave (i.e, should they phone it in/decline the case in if they disagree ethically) is interesting but more difficult as a topic