Livven
Joined 14 years ago
Joined 14 years ago
That's really unfortunate, because your technical content is among the, if not the very best in the business. But clearly there hasn't been much investment into the presentation side over the last years.
There's this German hardware review site [1] that has an almost embarrassingly good system for graphs like this, I'm sure you are aware of it. Would be really amazing if we could somehow get that level of presentation for your content!
[1] https://www.computerbase.de/2020-09/samsung-980-pro-ssd-test...
So in order to get the best doctors you can't just be all "meritocratic" by looking only at the results, i.e. grades, but have to take other factors into account.
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The relationship between school type and academic performance at medical school: a national, multi-cohort study https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589012/
What is the effect of secondary (high) schooling on subsequent medical school performance? A national, UK-based, cohort study. https://www.ncbi.nlm.nih.gov/pubmed/29792300
So, if you want the cream to rise... take it from the bottom.
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The relationship between school type and academic performance at medical school: a national, multi-cohort study https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589012/
What is the effect of secondary (high) schooling on subsequent medical school performance? A national, UK-based, cohort study. https://www.ncbi.nlm.nih.gov/pubmed/29792300
If you want to get a (slightly out of date but what can you do, the field is moving very fast) overview see this survey from 2016:
Scene Text Detection and Recognition: Recent Advances and Future Trends http://mclab.eic.hust.edu.cn/UpLoadFiles/Papers/FCS_TextSurv...
Here are some current state-of-the-art papers + code where available about detection:
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection https://arxiv.org/abs/1709.03272
EAST: An Efficient and Accurate Scene Text Detector https://arxiv.org/abs/1704.03155 https://github.com/argman/EAST
Detecting Oriented Text in Natural Images by Linking Segments https://arxiv.org/abs/1703.06520 https://github.com/dengdan/seglink
Arbitrary-Oriented Scene Text Detection via Rotation Proposals https://arxiv.org/abs/1703.01086 https://github.com/mjq11302010044/RRPN
And for recognition:
An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition https://arxiv.org/abs/1507.05717 https://github.com/bgshih/crnn
Robust Scene Text Recognition with Automatic Rectification https://arxiv.org/abs/1603.03915
As an example, see the ICDAR 2015 results [1], where the Google Vision API is at 59.60% (Hmean) while the best ones are over 80%. Note that this test is about localization, i.e. finding the text location without recognizing the actual content, though on a more challenging dataset.
As for recognition, see the table on page 6 of this paper [2]. The "IIIT5K None" column should be pretty close to what was done in the OP, using the same dataset, with recognition accuracies of around 80% while the Google Vision API is at 322/500=64.4%. Note here that since this paper is only about recognition, there is no localization step before which would otherwise act as a filter and decrease the accuracy a bit by failing to localize some text that the recognition step would be able to recognize.
For what it's worth, features like that (along with, say, line-by-line staging) are the reason why I usually use a GUI client and only drop down to the command line when necessary.
Link: https://www.microsoft.com/en-US/store/Apps/Hacky-News/9NBLGG...
Many people outside of those know English well enough that they'd rather have a feature in English than not at all.
Also, many if not most applications and services that aren't billion-dollar businesses or otherwise have had insane amounts of resources poured into them have terrible localization. And even if the localization is good, it can be beneficial to use the English version.
English is the international language, it is taught to children all over the world, it is used in business, academia and so on, all over the world. You know that, everyone knows that, but sadly, to all-English dev teams, it is all too often an afterthought.
And that doesn't even take expats, travelers etc. into account, who might want to use their native language system-wide but need certain applications to use the local language, or vice versa.
3. The reading mode button in IE does not have a label either, so that only leaves the open-in-IE button. Hopefully with the IE icon that one should be obvious as well.
4. Oh yeah the tilt effect, it doesn't really make much sense for those buttons beneath the browser anyway so I removed it there.
5. If you don't mind, I'll email you using the address in your profile once the beta is out. Might take a few more weeks.
6. I was worried about that screen not being very discoverable. The navigation is indeed a bit Android-like, so I tried to compromise by using another icon that makes sense (switch) instead of the hamburger icon. However it seems many people don't realize what the switch button does, and miss out on the settings menu because of it. I'll probably have to replace the app icon with the hamburger icon. Also, you can always use the back button to go back, is that not obvious (honest question, even if it sounds weird)?
7. (1) "Water you doing" is just a silly pun, I'm surprised you pointed out the extraneous space but ignored the "water" part :p (2) That is a margin/spacing issue, did you increase the system font size? The settings screen is kind of thrown together with very little customization, the toggle switch does not wrap its label by default but still there should usually be enough space for the full text. (3) Thanks, the hyphen seems to be more appropriate when it's used as an adjective so I added it.
8. Generally agree, but only if it's absolutely required to understand how to use the app. That's not the case here.
And finally, I really appreciate your feedback, it's useful to me whether you like the app or not :)
EDIT: Seems like all the comments that were submitted during that timeframe are showing up now.
Creator of Hacky News, a HN client for Windows Phone http://www.windowsphone.com/s?appid=5e5a14a9-d08b-45ee-a5c2-b44713868af7
Twitter: @Livven
Email: lg at livven.me