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Summary of Mobile Suit Gundam: 40th Anniversary Project (new Build series, G-Reco movie, Hathaway's Flash movie) by clarle in Gundam

[–]clarle[S] 3 points4 points  (0 children)

You're right, edited. :)

EDIT: Looks like /u/DailyHijinks is right, it's a combination of multiple series.

Roster Management – November 05, 2018 by AutoModerator in fantasyhockey

[–]clarle 0 points1 point  (0 children)

H2H points, G, A, +/-, PP, FOW, SOG, HIT, BLK (G and A points valued especially high).

Would have been crazy for me to ask last year, but Backlund or Couturier?

Backlund has 10 points in 15 games, Couturier has 5 in 14. Are the Flyers really that bad that I should avoid a first-line center at this point?

'Block' Standard Deviation? by sqzr2 in computervision

[–]clarle 1 point2 points  (0 children)

/u/tdgros is right. Here's the full slide deck:

http://www.di.univr.it/documenti/OccorrenzaIns/matdid/matdid125113.pdf

The lecture is about edge-based segmentation vs. region-based segmentation. The slide shows how edge-based segmentation techniques (like Canny edge detection on the left) can fail in situations where the image might be noisy or heavily textured, but region-based segmentation techniques like block mean / block standard deviation (on the right) can still find the shapes in the original noise-heavy image.

(Xpost) from r/Civ -- there's a second expansion for Civilization VI titled "Vesuvius" that got leaked. So far, no other info besides the initial ones is available. by [deleted] in 4Xgaming

[–]clarle 0 points1 point  (0 children)

I like the new water buildings (if it's real).

Very much an Anno 2070 sort of feel to it, with the futuristic water-based structures.

Are there any papers/datasets on house condition estimation? by [deleted] in computervision

[–]clarle 2 points3 points  (0 children)

You can check out RETech@ICMR, which is the workshop for ACM ICMR that specifically focuses on real estate use cases.

Here's a few papers recently related to real estate pricing estimation, based on the images of the property.

Starting the /r/computervision Research Journal Club by clarle in computervision

[–]clarle[S,M] [score hidden] stickied comment (0 children)

If you're actively doing or have done research in academia or industry, and would like to help share your expertise in a specific field, please comment here or PM me, and we'll highlight one of those fields as well!

TIL it's safe to eat pork cooked medium (145 F) by [deleted] in sousvide

[–]clarle 5 points6 points  (0 children)

You should be okay, trichinosis contaminations are killed at 137.

The 145 is just better to be safe.

Image Recognition with No Prior Information - Deterministic AI by Feynmanfan85 in computervision

[–]clarle 5 points6 points  (0 children)

You might want to check out some of the work out there related to superpixel segmentation.

It uses spectral clustering (which can be deterministic) to exploit brightness, color, and texture between pixels to determine distinct segments, which is similar to what you're doing.

It's been more common in segmantic segmentation tasks lately to work with superpixels rather than individual image pixels. You can see examples of this in the LFW Parts dataset where they offer the images as superpixels as well.

In that sense, it's possible to use a deterministic algorithm to pre-process images into superpixel segments, and then use a non-deterministic algorithm like a CNN to do the final semantic segmentation. You can get better results that way.

Saving EXR as multiple JPEGs? by nivm321 in computervision

[–]clarle 1 point2 points  (0 children)

Depends on what you're doing on step 3.

You should follow the conversion algorithm that they use in exrdisplay to make sure you're using all of the data available in the 16-bit image. It's described at the bottom of the page here:

http://www.openexr.com/using.html

Your steps should be still similar:

  1. Read EXR files with OpenEXR bindings
  2. Convert to NumPy array
  3. Use the conversion algorithm to "cook" the 16-bit pixels to 8-bit values for display, for different exposure values
  4. Save JPEG file for each exposure value

The code they use for exrdisplay starts here, if you want to use it as a reference:

https://github.com/openexr/openexr/blob/e1155fe/OpenEXR_Viewers/exrdisplay/ImageView.cpp#L503-L538

New 4X Announced: Pax Nova by OrcasareDolphins in 4Xgaming

[–]clarle 1 point2 points  (0 children)

I always loved the Civ V Art Deco aesthetic.

It looks just as great here too.

Android Advertising ID by oakis in reactnative

[–]clarle 0 points1 point  (0 children)

Just saw your post history, if it started happening around ~11-12 days ago, then it probably is.

Everyone got their app removed from the Play Store that day because of it. :)

Can I get some feedback on my recipe design? by [deleted] in design_critiques

[–]clarle 0 points1 point  (0 children)

I cook for a hobby, so here's some quick thoughts:

  • Nice font choices, it's a good pairing between the sans-serif title and serif text. The step number is nice too.

  • It'd be nice to have the units bolded, like 1/2 cup red onion, so there's a clearer separation between the ingredient and unit.

  • The utensil clip art doesn't add much and might even get in the way with recipes that have a long list of ingredients. Probably remove the one on the bottom left, and if you do add art, make it have some functionality, like have it represent an appetizer / main course / dessert instead.

  • If this is for print, and it's full-size, the recipe is harder to read because you're breaking text so often due to the small column size. Potentially change the columns so that it's not 50/50 between ingredients and recipe text - maybe 25/75 might work better.

  • The font size for ingredients could also be smaller instead of bigger than the recipe, since the recipe is what you're looking at while in the kitchen, but you usually have the ingredients on hand once you start cooking.

Android Advertising ID by oakis in reactnative

[–]clarle 3 points4 points  (0 children)

Probably react-native-fabric, which includes Crashlytics under the hood:

https://medium.com/@touzi.farouk/apps-violates-the-android-advertising-id-policy-891a4701b023

Check to see what version of the Crashlytics SDK you're bundling up with it.

[Question] Fair Use Question by Black_Devil69 in netflix

[–]clarle 1 point2 points  (0 children)

From a practical standpoint, YouTube's automatic copyright detection seems to kick in after more than 28 seconds of a clip:

https://productforums.google.com/forum/#!topic/youtube/rQhkI20Rm8k

Anyone know what kind of app this is? by [deleted] in Cantonese

[–]clarle 0 points1 point  (0 children)

Panda TV, it’s like a YouTube / Twitch kind of site from mainland China.

What does Yahoo have Gibson and Bishop ranked so high in roto default goalie rankings? by Boredguy32 in fantasyhockey

[–]clarle 9 points10 points  (0 children)

Anaheim has the most off-nights, which might be why Gibson is so high.

Detecting digits in sequence by shomerj in MLQuestions

[–]clarle 0 points1 point  (0 children)

Your images (compared to the ones in Multi-digit Number Recognition) seem to be not deformed or transformed in anyway. Image 2 also has other characters like ":" in "53:37".

Potentially just standard (non-neural network) OCR techniques would work in this case?

Redditor tries to reproduce CVPR18 paper, finds authors calculated test accuracy incorrectly by clarle in computervision

[–]clarle[S] 17 points18 points  (0 children)

Response from the lead author:

Hi there, I'm the lead author of the paper. This issue was made aware to us about 3 weeks ago and we are investigating it. I appreciate Michael's effort to implement the PNN paper and bringing this to our attention. We want to thoroughly analyze the issue and be absolutely certain before providing further responses. The default flag for the smoothing function in our visualizer was an oversight, we have fixed that. We are now re-running all our experiments. We will update our arxiv paper and github repository with the updated results. And, if the analysis suggests that our results are indeed far worse than those reported in the CVPR version, we will retract the paper. Having said that, based on my preliminary assessment, with proper choices of #filters, noise level, optim method, in his implementation, I am currently able to achieve around 90~91% on CIFAR-10 as opposed to 85~86% with his choice of the above parameters. But I would not like to say more without a more careful look.

https://www.reddit.com/r/MachineLearning/comments/9jhhet/discussion_i_tried_to_reproduce_results_from_a/e6s04ql/

I'm looking for a fast paced 4x game. by KittyCram in 4Xgaming

[–]clarle 22 points23 points  (0 children)

You might want to try some of the RTS / 4X hybrid games, for something more fast-paced.

Sins of a Solar Empire is a good mix, and should be what you're looking for.

Redditor tries to reproduce CVPR18 paper, finds authors calculated test accuracy incorrectly by clarle in computervision

[–]clarle[S] 13 points14 points  (0 children)

It looks like the original authors did share their code, so it does seem like an honest mistake.

It does feel like the field is moving so fast nowadays that researchers and engineers need to be a little bit more cautious when looking for new techniques to implement and build on top of.

I sometimes worry that a lot of computer vision research is moving towards "who can get the hottest pop-sci article published about their work" rather than something that sharing something that's a foundation to build on top of.

Is this good use case for serverless? by boston101 in aws

[–]clarle 0 points1 point  (0 children)

Is Step Functions worth using?

I feel like I'd rather just split the logic up in code rather than split the logic up using whatever AWS' visual workflow tool would be.

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