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bob020416 / YoloV8_ComputerVision_Aiming_RainbowSix

The intersection of gaming and artificial intelligence presents a rich ground for innovation and exploration. This project aims to leverage the power of YOLO v8, an advanced deep learning model, for a unique application in the world of gaming – specifically, in Rainbow Six Siege.
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Not an Issue #1

Open Bengeljo opened 7 months ago

Bengeljo commented 7 months ago

Hey there, I love the idea of the ComputerVision and was also researching and thinking about it. After seeing the AI Bots from Ubisoft, I thought that you could probably do a way better Job at aiming and all these things and wanted to write something myself, dispite me being not a great programmer atm. I am about to start studying it tho and wanted to start improving my current skills with a hard project but I tend to overload myself often. But I am very happy to see that you managed to get something out of it. Personally I would add something that the AI would figure out where it is on the map, maybe per the text on the bottom so it could start finding its own way.

My personal plan is it to write an AI that can beat the Ubisoft AI at the game. (Never releasing it on the normal servers only in the offline mode or in costume matches)

I was so inspired by the OpenFive, such a cool project. If it is fine with you I would love to get in contact with you via Discord or something.

bob020416 commented 7 months ago

Hey!

It's great to meet someone else who shares a passion for pushing the boundaries of what's possible with AI in games.

Regarding the simulation of mouse movement for aiming in a 3D game space, is a common challenge i facing now .

Translating 2D coordinates into actions that make sense in a 3D environment requires a nuanced understanding of the game's mechanics and how to interpret spatial data effectively. This is where machine learning models trained on spatial recognition and aiming mechanics could really shine.

As for the mapping and navigation within the game, leveraging in-game text or HUD elements to identify the player's location is a promising approach. For a game like Rainbow Six Siege, where strategic positioning and map awareness are key, developing an AI that can interpret visual cues to navigate and locate enemies could be groundbreaking. We could explore techniques like image recognition to read map names or environmental markers, and machine learning models to predict enemy positions based on common strategies and map layouts.

I'd love to dive deeper into these ideas and collaborate on developing this project further. Let's definitely connect on Discord or Facebook to share thoughts and strategies more efficiently. Feel free to leave your account and we can start brainstorming and working on this exciting project together.

Bob

Bengeljo commented 7 months ago

Hey Bob, that sounds great.

We sure can probably brain storm a few ideas of how to create something that may recognize the room or the layout of the map and eventually get a navigating bot out of it. The new mode in Siege where you have to find an special object on the map clubhouse would be a great start, don't you think ?

You can add me on Discord when you search for the Username: Bengeljo

If you added me we can close this "Issue" and may delete it. Hope to hear from you soon, Bengeljo

bob020416 commented 7 months ago

Great! just send you a friend request