I tried to make a Valorant AI using computer vision
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 Published On May 27, 2021

I went down a rabbit-hole of trying to make a Python program that can play Valorant using computer vision and some radio shenanigans.


More details, errata, etc.: https://www.riveducha.com/valorant-ai...

Radio dongle: CrazyRadio PA https://amzn.to/3GDzEhb

This video intentionally doesn't go into too much technical detail - not sure if that's something people want or not. I tried to present enough so that you can at understand what this bot can and can't do, and also understand some of the problems it's having. And if you don't play Valorant, hopefully the premise is understandable - shoot the bad guys.


If you're worried about this being a hack, you can rest easy. It's not like a wall hack where it looks at Valorant's process memory to get information that's supposed to be secret. The bot's not at the level of advanced Valorant strategy right now, but I have lots of ideas for future development.

Software used include:
* labelImg - used for labeling the data set
* PyTorch - similar to TensorFlow
* NumPy - amazing library for working with matrices
* OpenCV - great library for doing some image processing (in conjunction with NumPy)
* Google Colab and Jupyter Lab - great for exploratory programming, especially when working with images
* PySide2 - y u conflict with torchvision dependencies??

Some people doubted that the OpenAI shell video I made was real despite the mediocre results shown, so I hope that by showing even worse results in this video more people will believe it's real.

Also, follow me on Twitter: @riveducha -   / riveducha  


Images:

Human Brain clip art: CC-BY 4.0 SykesOffice https://commons.wikimedia.org/wiki/Fi...

Music:

Corbyn Kites - Shadowing

"Inspired" Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 4.0 License
http://creativecommons.org/licenses/b...

NoMBe - Take Me Down to the Fashion Show

Kwon - Pluckandplay

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