- Видео 4
- Просмотров 5 452
Programming with Julius
Германия
Добавлен 19 май 2024
Master at solving problems that nobody has. On here I showcase mostly gaming-related coding and ai projects :)
AI bot destroys more Mario Party DS games
I'm using computer vision to analyze and destroy Mario Party DS Games
👉🏼 AI Bot destroys Mario Party DS, Part 1: ruclips.net/video/_qdMh8IHeI0/видео.html
0:00 Introduction
0:18 Hot Shots
3:20 Domino Effect
5:34 Get the Lead Out
9:16 Outro
👉🏼 Using deep learning to predict locations in CS2: ruclips.net/video/igPX0no9L54/видео.html
Subscriber battle, help me win eventually - www.youtube.com/@TylerMommsen
Credits:
Music - downloads.khinsider.com/game-soundtracks/album/mario-party-double-screen-ds-wii-u-gamerip-2007
Mario Party Assets - www.spriters-resource.com/ds_dsi/mariopartyds/
Support me so I can quit my job and go live in the woods:
patreon.com/ProgrammingWithJulius
👉🏼 AI Bot destroys Mario Party DS, Part 1: ruclips.net/video/_qdMh8IHeI0/видео.html
0:00 Introduction
0:18 Hot Shots
3:20 Domino Effect
5:34 Get the Lead Out
9:16 Outro
👉🏼 Using deep learning to predict locations in CS2: ruclips.net/video/igPX0no9L54/видео.html
Subscriber battle, help me win eventually - www.youtube.com/@TylerMommsen
Credits:
Music - downloads.khinsider.com/game-soundtracks/album/mario-party-double-screen-ds-wii-u-gamerip-2007
Mario Party Assets - www.spriters-resource.com/ds_dsi/mariopartyds/
Support me so I can quit my job and go live in the woods:
patreon.com/ProgrammingWithJulius
Просмотров: 100
Видео
AI bot DESTROYS Mario Party DS games using computer vision
Просмотров 2,2 тыс.День назад
I'm using computer vision to analyze and destroy Mario Party DS Games 👉🏼 Using deep learning to predict locations in CS2: ruclips.net/video/igPX0no9L54/видео.html 0:00 Introduction 0:30 Star Catchers 3:44 Goomba Wrangler 7:24 Study Fall 8:45 Outro Subscriber battle, help me win eventually - www.youtube.com/@TylerMommsen Credits: Music - downloads.khinsider.com/game-soundtracks/album/mario-party...
I made a GeoGuessr AI in Counter-Strike 2
Просмотров 1,6 тыс.Месяц назад
I trained a neural network to predict locations in Counter-Strike using over 1 million images. 👉🏼 My previous CS 2 AI map prediction: ruclips.net/video/RmUy7bBO_dE/видео.html 0:00 Introduction 0:45 Capturing Counter-Strike 2 Screenshots 2:35 Reviewing the Dataset 3:42 Normalizing the data 5:13 Model setup 6:53 Training Run 8:31 Reviewing the Training Results 10:07 Result Visualization with UMAP...
I made an AI to predict Counter Strike 2 maps
Просмотров 1,7 тыс.3 месяца назад
I collect 100k CS2 screenshots and train a map classifier AI with it. Next up: Location prediction in CS2 ruclips.net/video/igPX0no9L54/видео.html 0:00 Introduction 0:27 Capturing CS2 Screenshots 3:45 Reviewing the Data 4:16 Training the AI 7:05 Reviewing the Training Results 7:57 Map Quiz 8:18 Vertigo Update Credits: CS:GO Lobby Music - ruclips.net/video/Rvi6c8toWJM/видео.html Case Unboxing Mi...
these videos are so interesting and well made, hopefully this gets more visibility
Thanks man ♥️ every comment helps!
Hear me out: You've done a lot of work with mini-games. But what if you make an AI for board play? Because frankly, the board AI is somewhere in the range of neanderthals.
Thanks for the suggestion, I’ll definitely put it on my list of ideas! I’ll have to be honest though, this is a bigger undertaking. You very likely have to use deep reinforcement learning (or something equivalent) to make any sort of reasonable progress. I’ll have to wait a bit more before I take on these bigger projects. For example the map location detector for counter strike took ages to develop and train, and it got less views than a simple Mario party video I put together on a few evenings. I’m working full time and don’t really have the capacity to start any large projects right now… maybe some day :) I could probably spin up a simple rule based bot that makes reasonable choices, but I don’t think I’d be satisfied by that.
finally more programming with julius
And more is on the way, I’m already working on the next project :)
Your newest video was good. What happened to it?
I noticed a typo, volume inconsistencies and some background footage flickering… I saw it has only 4 views, 2 of which were from me, so I thought I’ll fix it quickly. Reupload is coming soon! Thanks for the support :)
@@ProgrammingWithJulius thanks for letting me know
@@BahavianBrave reupload is done, by the way :)
This video clearly deserves more views. Lets hope it gets viral in the future!
Thanks man ♥️
Damn, only as many subs I have Deserves more
Damn, this game was my childhood. Really cool to see someone else finally mention it
There’s more coming! Already working on the next video :)
This is so sick, very cool seeing the explanation and how it turns out
Thank you :) already working on the next project!
sick as heck video!!
Thanks man :) more is coming soon!
Who else did 0.0cm on study fall?
Heyo ✋
This is awsome! I'd love to see more videos about Mario Party DS!
Already working on the next video, subscribe so you don’t miss it :)
Have you seen code noodles vids on mario party ds?
I deliberately did not look at any solutions before I finished mine, because I wanted to figure it out myself. But I had a look after I had enough games done for 2 videos - and I guess I won on goomba wrangler 😬😈
I love seen my childhood getting destroyed in fun ways like this
It was a lot of fun to program, too 😬
Are you by any chance German? (Great Video btw)
Yup, I guess I’ll always have this accent 😬 and thanks!
Good video
Thanks! There’s more coming soon :)
Really interesting video
Thanks :) more is coming soon!
Deutsche Ingenieurskunst❤️
Erwischt 😬♥️
I love this genre of video, good stuff and great editing too! Here's a comment for the algorithm
Thanks man, I really appreciate it! I’m working on a Mario Party Jamboree video next, but it’s a lot more pain to implement because it’s running on real hardware. Subscribe to not miss it :)
You're so underrated!!!
Thanks! ♥️
Bro created another masterpiece. This was so fun.
Thanks so much man, and I’m glad you enjoyed it. There’s more content coming, I’m already done with 3 more Mario Party DS games and right now I’m trying to get MP Jamboree to work 😬
This is really cool! I hope it finds its way into other people's recommendations :)
it did for me.
Thanks! It seems a few more views are coming in now, let’s see how long that lasts :) but I’ve got some more work ahead of me
11 views? RUclips algorithm is doing you dirty on this very well made video.
Thanks! Now it got a bit better at least :)
This is some high quality content. Editing is so good <3 Keep slaying, King!
Thanks man, you too! Let’s see who cracks the algorithm first 😬
Woah! You went above and beyond with this one
Thank you! :)
Incredible work! Always wanted to tinker with AI, never was able to due to my lack of knowledge. Keep it up!
Thanks man! If you have some time, I would recommend this video to you: ruclips.net/video/V_xro1bcAuA/видео.html It's long, but it contains everything you need to get started with PyTorch. And whatever questions you still have, GPT (4, not mini!) can help with a lot of things, too. It's a lot of fun and really not that difficult to get into. I recommend starting with an image classifier AI, it's very simple and easy to see good results :) I made one too, in my last video: ruclips.net/video/RmUy7bBO_dE/видео.html Good luck!
A more useful thing you can do is to train an AI model on minimap data of tournaments with player positions. So teams can predict which player can be at any given spot.
Great idea, but sadly I don't have a fitting dataset... I would need a massive amount of demos. With that, you could go even further and predict, well, basically anything about the game
Damn Julius, this is insane.. how the hell do you not have more subs?? This looks so complex, I need to upgrade my knowledge 😂
Thanks man, it means a lot ♥️ and I hope the subs are coming at some point, because this was a TON of work 😂
Alright I see why it took so long to do this, this seems much more complicated than the previous one, but wonderful editing skills and enjoyed the video thoroughly! Already looking forward to the next one. Good job!
Much appreciated! More is definitely coming, and sooner.
Julius seem like you haven't won 10 Premier matches. Next time grind hard to show your Rank. Great video BTW.
I played the game for almost 4k hours, but I'm not actively playing premiere at the moment. And thanks! <3
Nice project, but the picture at 9:35 was definitely not taken where the video claims its original spot
Great catch, you had me scared I screwed something up in the dataset. Turns out I just screwed up when making the video. Here’s the real prediction result: imgur.com/a/pprq5gp
6:57 better try launching the program from cmd with administrator privileges, it will be faster
I almost can’t believe that - will definitely try it out. The work is done on the GPU and I’m not sure if that would be affected by privilege checks. I’m on vacation now though, so it will have to wait a while.
@@ProgrammingWithJulius well i remember i was running some python program in vscode and then in console, and then in console with administrator privileges, i think its just able to use more pc resources or more optimized? not sure if it will affect GPU part, but probably the CPU part
I have no idea what happened or what I just watched, but images look pretty yay
If you have any specific questions, I'll try my best to answer them :)
@@ProgrammingWithJulius too far over my head :( keep it up lmao
Very cool, nice work mate! Would be interested in similar videoes!
Thanks! More videos are definitely coming soon :)
Do you have the AI results recorded somewhere, along with how close the estimated value was to the actual point?
Yes, all run data is saved in wandb.ai and the training graph animation was created with a little tool I wrote that takes the csv export and makes it into a video :)
And of course I can run the model on any specific image to get the predicted location
Nice video!
Thank you!
nice video bro, love it❤
Thanks 🔥 I appreciate it!
high quality video
Glad to hear, thank you!
good stuff man, I always find going through papers and applying cv models on different mediums fascinating
Yeah, and the open source community has made it so easy to get into it. Only a couple years ago, the barrier to entry was much higher. I love how every prototype feels just a couple of lines of code away these days.
And thanks, of course :D
How this has less than a thousand views is beyond me, keep up the good content i’ll see you at 100k 😂
Thank you for your kind words! <3 Sadly the views already died down, it will probably end up at ~1500 views in a couple of days and then be buried forever. But I'll keep uploading, maybe one day :)
Great stuff!
Thank you, I really appreciate it!
Wow this deserves way more views.
Thank you very much! If you know anyone who might be interested, feel free to share it. Every view counts for small channels like mine.
Damn sick, wp
Thanks! :)
Hi, do you know why the data needs to be normalized to be in a range of -1 to 1? I would be interested in the technical reasoning behind this
Well, the data doesn’t „need“ to be in that range. It’s just much easier to train for that. Imagine you’re an archer trying to hit a target. Now move that target 1000m up and away from you. Technically possible to still hit it? Yes, if you tape the arrow onto a rocket. Practical? No. Training for long enough, the neural net might eventually also learn to predict the real locations. But it takes much longer to tune the weights because they need to become absolutely massive to produce these numbers. There are more reasons why it’s impractical, like training stability and compatibility with activation functions, but this is the short version. Hope this makes it a bit clearer :)
amazing video, the visualization is truly mesmerizing
Did you check out the website? I didn't add any analytics because I didn't want to deal with the cookie/imprint garbage...^^
And thanks! <3
I was watching this thinking it was a well known RUclipsr/video. Turns out, I was wrong. Great video, super detailed, well explained. Definitely deserve more recognition
Thank you so much for your kind words. I really appreciate it <3
Absolutely amazing video! Was interesting the whole way through. My jaw was almost on the floor when i saw the amount of subs and views. Keep up the good work you earned my sub❤
Thanks for the sub and the kind words, I really appreciate it :) I will definitely upload more in the near future!
A lot of work and interesting video. And result is just for fun, whoa.
Thanks! <3 It was a really interesting project, albeit a lot more work than anticipated.
good content and high quality production. not to mention the viewer and github repo of dataset. well done. I am certain you will blos up soon enough
Thank you so much for your kind words! I'm hoping for it. Until then, I'll keep uploading :)
Had no idea that something like this can even be done. Really cool.
Thanks! I was worried as well, because it was one of these projects where you only know wether it works after you put in a lot of work. But I was really surprised at the results. 96 units off is basically spot on
Great content, keep up the good work! I was here very before you blew up ;)
Yeah, this channel is going to absolutely blow up in like 6 months.
Thank you so much ♥️