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Merge branch 'Aimmy-V2' of https://github.com/TaylorIsBlue/Aimmy-CUDA
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TaylorIsBlue committed Oct 5, 2024
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Aimmy is a universal AI-Based Aim Alignment Mechanism developed by BabyHamsta, MarsQQ, and Taylor to make gaming more accessible for users who have difficulty aiming.

Unlike most AI-Based Aim Alignment Mechanisms, Aimmy utilizes DirectML, ONNX, and YOLOV8 to detect players, offering both higher accuracy and faster performance compared to other Aim Aligners, especially on AMD GPUs, which would not perform well on Aim Alignment Mechanisms that utilize TensorRT.

Aimmy also provides an easy to use user-interface, a wide set of features and customizability options which makes Aimmy a great option for anyone who wants to use and tailor an Aim Alignment Mechanism for a specific game without having to code.

Aimmy is 100% free to use. This means no ads, no key system, and no paywalled features. Aimmy is not, and will never be for sale for the end user, and is considered a source-available product, **not open source** as we actively discourage other developers from making commercial forks of Aimmy.
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# Disclaimer
This is a fork of [Aimmy](https://github.com/Babyhamsta/Aimmy/), if any problems ask us on [discord](discord.gg/aimmy).
## What is CUDA
> **What's CUDA?**
## Setup (automatically)
- Download and run LazyAimmySetupCuda ... thats it.
```Cuda is pretty much just the better version of "DirectML" and uses Nvidia's GPU power to make it more smoother and faster```

### Install LazyAimmySetup
> **What's TensorRT?**
[Dropbox](https://www.dropbox.com/scl/fi/tiu0xmyztj8mip6kwbduz/LazyCudaAimmySetup.exe?rlkey=1472ye0dq3vdu7qp9att2z2as&st=01biqlu3&dl=0)
```Pretty much an add-on for Cuda. While it does make your gameplay smoother and faster, it's a double edge sword by making your models loading time drastically slower for 1st time instances```

[4Shared](https://www.4shared.com/file/o2Ntd8aTku/LazyCudaAimmySetup__1_.html)
> **What's DirectML?**
[PixelDrain](https://pixeldrain.com/u/gKenQpHB)
```Think of it as a mid lvl AI that relies on your GPU to work good```

> **How does the AI work?**
## Setup (manually)
```Using the imported models (pictures), it will then scan the game as you play and look for players that match the models (pictures)```
## Setup
- Download and Install the x64 version of [.NET Runtime 8.0.X.X](https://dotnet.microsoft.com/en-us/download/dotnet/thank-you/runtime-desktop-8.0.2-windows-x64-installer)
- Download and Install the x64 version of [.NET Runtime 7.0.X.X](https://dotnet.microsoft.com/en-us/download/dotnet/thank-you/runtime-desktop-7.0.20-windows-x64-installer)
- Download and Install the x64 version of [Visual C++ Redistributable](https://aka.ms/vs/17/release/vc_redist.x64.exe)
- Download Aimmy from [Releases](https://github.com/TaylorIsBlue/Aimmy-CUDA/releases) (Make sure it's the Aimmy zip that says **Prepacked CUDA** and not Source zip)
- Extract and run totallynotaimmyv2.exe
- Go to the troubleshooting section if you have issues.

## Setup (troubleshooting)
- Download and Install the x64 version of [.NET Runtime 8.0.X.X](https://dotnet.microsoft.com/en-us/download/dotnet/thank-you/runtime-desktop-8.0.2-windows-x64-installer)
- Download and Install the x64 version of [.NET Runtime 7.0.X.X](https://dotnet.microsoft.com/en-us/download/dotnet/thank-you/runtime-desktop-7.0.20-windows-x64-installer)
- Download and Install the x64 version of [Visual C++ Redistributable](https://aka.ms/vs/17/release/vc_redist.x64.exe)
- Download Aimmy from [Releases](https://github.com/TaylorIsBlue/Aimmy-CUDA/releases) (Make sure it's the Aimmy zip and not Source zip)
- **Get [cuDNN 8.9.x](https://developer.nvidia.com/rdp/cudnn-archive) and [CUDA 11.8](https://developer.nvidia.com/cuda-11-8-0-download-archive)**
- **Get [cuDNN 9.x](https://developer.nvidia.com/cudnn-downloads) and [CUDA 12.x](https://developer.nvidia.com/cuda-downloads?target_os=Windows&target_arch=x86_64)**
- Extract the Aimmy.zip file
- Run Aimmy.exe
- Choose your Model and Enjoy :)

### Troubleshooting CUDA
Sometimes, when you load a model the application closes in an exception, this could mean:
1. Your cuda installation is wrong. Check your PATH (env variables) for your Cuda installation and your cuDNN.
2. Download and Install CUDA and cuDNN of [CUDA 12.x](https://developer.nvidia.com/cuda-downloads) and [cuDNN 9.x](https://developer.nvidia.com/cudnn-downloads), maybe you need to switch versions im not sure its kind of weird.
2. Download and Install CUDA and cuDNN of [CUDA 12.x](https://developer.nvidia.com/cuda-downloads) and [cuDNN 9.x](https://developer.nvidia.com/cudnn-downloads)
3. Otherwise, make a ticket in our [discord server](discord.gg/aimmy)

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