komatsu's comments

Taking antibiotics after every random bite is overkill. Antibiotics overuse is a serious issue for your body and for the general antibiotics resistance as well.

When the tick is attached less than 24 hours it won't transmit Lyme disease according to the CDC. I check myself every evening after outdoor activities, remove 10-20 ticks every year and knock-knock never had Lyme disease yet.

I wasn't aware of the permethrin effectiveness though. Thanks for letting us know.

I can highly recommend the author. His last book "Computer Vision: Models, Learning, and Inference" is very readable, approaches the matter from unorthodox viewpoints + includes lot of excellent figures supporting the text. I'm buying this on paper!

The code is mostly licensed under the permissive Apache 2.0 license. The project is probably financed by SenseTime, but it's not clearly stated anywhere.

You could use the front TrueDepth sensor that is behind FaceID unlocking. You will get quite detailed RGB + depth data. It could possibly capture even the subtle movements of upper chest.

see Steffen Urban, Thomas Lindemeier, David Dobbelstein, Matthias Haenel, "On the Issues of TrueDepth Sensor Data for Computer Vision Tasks Across Different iPad Generations" and Andreas Breitbarth, Timothy Schardt, Cosima Kind, Julia Brinkmann, Paul-Gerald Dittrich, Gunther Notni, "Measurement accuracy and dependence on external influences of the iPhone X TrueDepth sensor".

Otsu's method finds a single threshold value in an adaptive way. This can't solve a scanned document thresholding problem.

btw: The iOS Notes app has quite a capable document scanning tool. It's cleverly hidden though.

AI and ML: Simon J.D. Prince; Computer Vision: Models, Learning, and Inference. Thorough book with unorthodox explanations and great figures. The book is very pleasant to read. I'm eagerly awaiting new book on Deep Learning from the same author.

Google Translate: https://www-onet-pl.translate.goog/informacje/onetwiadomosci...

I've tried BentoML recently and it worked for me far better than torchserve workflows. There are some early version flaws (documentation, changing API), but the community is very responsive on Github and on BentoML Slack.

btw: BentoML stands on its own legs and definitely doesn't need HN spam accounts to propagate it.

I wonder how secure is the Firefox solution vs LastPass and others.

I would say that this applies to most of the companies with hundreds of millions of users. The account flagging needs to be automated and there is still some fraction of false positives. The appeal process is not easy because the false positive users are intermixed with bad actors. The human time dealing with the appeals is limited due to the sheer numbers of users.

For me the solution is to use a paid service or a free service at smaller business where employee/user ratio is better.

I fear that this is going to be encountered more and more often:

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