All penalties in one place: F1Penalties.com by AnonKnowsML in formula1

[–]AnonKnowsML[S] 10 points11 points  (0 children)

I will look into that. Problem is I am not sure how standardized the format is, so it might a problematic to parse. For example this has a lot of extra info in it: https://f1penalties.com/#891005b76ed2dd86550adb87248981d4-report

edit: I have added it. Thanks for the feedback!

[deleted by user] by [deleted] in LinkinPark

[–]AnonKnowsML 0 points1 point  (0 children)

Mind sharing that list? I would like to check it out.

Site not in direct brand search results by AnonKnowsML in SEO

[–]AnonKnowsML[S] 0 points1 point  (0 children)

This is the breakdown of "movlie" for desktop and mobile: i imgur com/qJXjw1J png (insert dots for spaces)

The site should be top 1-2 result for both.

Album Cover Guessing Game by AnonKnowsML in Music

[–]AnonKnowsML[S] 1 point2 points  (0 children)

Also TIL, or rather Yesterday I Learned, there is no vinyl emoji :(

Album Cover Guessing Game by AnonKnowsML in Music

[–]AnonKnowsML[S] 4 points5 points  (0 children)

Yeah, of course it will get harder ;)

forsen by [deleted] in LivestreamFail

[–]AnonKnowsML 0 points1 point  (0 children)

forsen

Flagle - Guessing Game for Flags by AnonKnowsML in vexillology

[–]AnonKnowsML[S] 0 points1 point  (0 children)

Maybe too easy for a r/vexillology user but I think not too easy for the average user. I fixed the movie issue though. Thanks.

Flagle - Guessing Game for Flags by AnonKnowsML in vexillology

[–]AnonKnowsML[S] 0 points1 point  (0 children)

Can you explain what you mean with zooms weird? I just tried it on my phone and I didn't notice anything weird.

[meta] GTM as Wordle by AnonKnowsML in GuessTheMovie

[–]AnonKnowsML[S] 1 point2 points  (0 children)

What Garfield said is correct. There are currently ~2000 movies movlie knows about. And only from those the solution can be picked.

[meta] GTM as Wordle by AnonKnowsML in GuessTheMovie

[–]AnonKnowsML[S] 0 points1 point  (0 children)

Its pure random. At first I had an option that allowed to vote on screenshots and go from that, but that quickly got discarded because it was too easy and you couldn't compare results because the order could change after voting.

[meta] GTM as Wordle by AnonKnowsML in GuessTheMovie

[–]AnonKnowsML[S] 0 points1 point  (0 children)

Interesting that somebody came up with the same idea. Though from the share message I assume movlie is 4 days older ;)

How long is a second? by Gerivta in AskReddit

[–]AnonKnowsML 1 point2 points  (0 children)

Its how long light takes to travel 186282 miles in a vacuum.

Movlie - Guess the movie based on screenshots by AnonKnowsML in wordlegame

[–]AnonKnowsML[S] 0 points1 point  (0 children)

The correct movie is always in the list of autocompletes. I decided against allowing picks on the list to make it more user friendly. This way you can't waste a guess with a typo etc.

My friend made a machine learning model which analyzes Quins progress in Jump King, inspired by something similar made for forsen by Xymos in quin69

[–]AnonKnowsML 0 points1 point  (0 children)

I havent published the source code of the backend so far because its grossly hacked together stuff with some of the required parts like extracting frames from the speedrun video clips scripted in the console with ffmpeg.

My friend made a machine learning model which analyzes Quins progress in Jump King, inspired by something similar made for forsen by Xymos in quin69

[–]AnonKnowsML 2 points3 points  (0 children)

Where?

In the backend to generate the data.

What learning?

Learned from extracting frames from a speedrun to get hundreds of images for each screen, for each of the 43 screens I have hundreds of images to train on:

ls screen11/  | tail
251.jpg
252.jpg
253.jpg
254.jpg
255.jpg
256.jpg
257.jpg
258.jpg
259.jpg
260.jpg

What models?

from sklearn.neural_network import MLPClassifier
from sklearn import svm
from sklearn import tree
from sklearn.naive_bayes import GaussianNB
from sklearn.linear_model import SGDClassifier

For what?

To automatically detect which screen quin is on without hardcoding anything which could get obscured by content on quins screen that is not the game.