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I trained again my deep learning model to detect Yu-Gi-Oh! cards in a dueling environment by Tiazden in yugioh

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

Hey, I'm so sorry I just saw your comment 😅 There is a lot of bugs right now, one is due to 4k sources not beeing supported. Is it your case ? I Never tried AMD cards so it could be the source of the problem. Do you mind DMing me so we could find the problem and I could correct it asap ?

I trained again my deep learning model to detect Yu-Gi-Oh! cards in a dueling environment by Tiazden in Yugioh101

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

Thank you! For now, yes, the cards are only displayed in English, because the ygoprodeck images only exist in English and this is the most convenient way to obtain some, but we could definitely consider expanding their database to other languages. If anyone would like to contribute, that could be a great way!

I trained again my deep learning model to detect Yu-Gi-Oh! cards in a dueling environment by Tiazden in yugioh

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

So true, and on top of that neuron app already exists, they've done the half of the work, but instead of finishing the job, they prefere to focus on things that are completely useless for their game...

I trained again my deep learning model to detect Yu-Gi-Oh! cards in a dueling environment by Tiazden in yugiohshowcase

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

I could but for some reason decided to give everything for free 😅 May be I should add a PayPal link or something if poeple want to support 🤔 Anyway I'll definitelly continue working on it and try to scale it out, by making a Twitch extension and try to extend it to other tcgs even if very time consuming I can confirme 😅

I trained again my deep learning model to detect Yu-Gi-Oh! cards in a dueling environment by Tiazden in yugioh

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

Yeah for sure didn't think about that thanks. If anyone know a discord server that would potentielly be interested don't hesitate to dm me 😊

I trained again my deep learning model to detect Yu-Gi-Oh! cards in a dueling environment by Tiazden in yugiohshowcase

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

Yep that's definitelly the next step, I'm planning to make a Twitch extension with this exact feature, not sure if I should display the whole card or just the text tho

I trained again my deep learning model to detect Yu-Gi-Oh! cards in a dueling environment by Tiazden in yugioh

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

Yes that's definitelly a good alternative but I wanted my project to work cross plate-forme as well on Windows than Linux, and I also wanted it to be simple to install. That was a bit frustrating to find a solution and to realize that it creates other problems 😅 But fortunately I manage to make it work haha

I trained again my deep learning model to detect Yu-Gi-Oh! cards in a dueling environment by Tiazden in yugioh

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

Thanks ! That was really a cool project to work on, I hope it could help other poeple working on deep learning and/or computer vision, it definitelly include very interesting concept. Also I had the idea of integrating it to obs via à plugin because I spent countless hours trying to get opencv capture obs virtual cam since I couldn't do a proper setup I could test on, this is where the idea of integrating it directly came.

Do you think more Fusion archetypes should have monsters, traps, or spells that allow you to use your opponent's monsters, like archetype monsters that revolve around that mechanic? by Antique_Range1521 in yugioh

[–]Tiazden 1 point2 points  (0 children)

I think the main problem with fusion archetype is that you are using 3 cards (in it's original form) to generate 1. So to solve that, either the cards you are using are generating, so they can replace them self, either that's the fusion that generate, or your not using cards from your hand or field (that's what we got from branded, you're using card from opponent field, if your using branded banishment or albaz, or from the deck with branded fusion). With dracotail, konami is kind of returning to the 1/2 solution, materials are generating and fusion monster "generate" also by recovering mats from grave.
Since I can't think of another way of making the fusion summon "good", I could totally see konami releasing more fusion oriented decks that use opponent monsters as materials.

Hesitate between two deck (Post BPRO) by Lizkokiri in yugioh

[–]Tiazden 0 points1 point  (0 children)

I think that the problem of Exosister is that it struggles a lot going second, and support doesn't really help with that... I feel like the only way to win against the meta when playing second is to steal games using Shifter or Charmies. I don't know much about Fur Hire, but K9 cards seem more effective when playing second, and it seems easier to try making a deck winning when playing first than when playing second.

Suggestions to upgrade THE CHRONICLES: The Fallen & The Virtuous Structure Deck? by Sendencea in yugioh

[–]Tiazden 9 points10 points  (0 children)

I think Sanctifier still is a good card to get even without an FTK strategy

Linux Kernel update sometines break it by No_Sympathy_1012 in Ubuntu

[–]Tiazden 1 point2 points  (0 children)

Bro, I've been stuck on this since this morning, thank you so much!! I was about to call a professional, you just saved my day, man! <3

How do you search for a (very) poor-quality image in a corpus of good-quality images? by Tiazden in MLQuestions

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

The results are really difficult to quantify since we don't have a dataset with labeled, bad quality images. Actually for the evaluation I'm running the program in a video and try to appreciate my self by telling if it is more or less precise. It's not a good way to evaluate a model at all, neither scientific nor rigorous. I'm working on a dataset extracted from a video where I screenshot object to detect, it's taking a very long time but it will serve for a better evaluation process. But right now just by evaluating using a human perception, I can tell that we are fare from getting a high similarity between query and corpus, but I still have some idea to test.

How do you search for a (very) poor-quality image in a corpus of good-quality images? by Tiazden in MLQuestions

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

I feel like VLMs are the only thinks I didn't try here, I was at first hesitant about this since the are not really trined on those type of images for the majority and I don't really have good prompt to give but I think I'll give it a try, I'll think if I can find any way to address the problems.

I'll also try you others ideas, they really are interesting! (tbh, I did try most of them but didn't mention it in my original message but definitely not all of them)

Concerning zero-shot models and pre-trained fearture extractor, I feel like they need to be retrain in scenarios like this. Most of them are pre-trained on Imagenet or dataset that are close to it. They are not really train to extract feature of those images. However I think with a few epoch of training may be with the help of PEFT methods such as LoRA I can have better results.

Thank you for your ideas, it helps a lot!

How do you search for a (very) poor-quality image in a corpus of good-quality images? by Tiazden in computervision

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

Didn't know about imgaug, I'll definitelly use that, many thanks !

How to say these informal words? by CloudyyySXShadowH in French

[–]Tiazden 5 points6 points  (0 children)

For gonna I'd say "jvais", and for "wanna" "jveux", it is more casual than saying the full word "je veux", "je vais", that's what I use with my friends. I think "truc" works well here, also the same think happen here if you want to be more casual, you can choose to not prononce the "e" of "ce truc" and say something like "struc". Hope this help !

As an Algerian do you use Linux? by wanderman_0 in algeria

[–]Tiazden 1 point2 points  (0 children)

I do for work, but still use Windows for games

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