Setup

Requirements

Name	Version
Python	3.9

Instructions

To run the project in a Python virtual environment, run the following commands:

python -m venv venv

Install the dependencies:

pip install -r requirements.txt

If you have an NVIDIA GPU, you can install the CUDA toolkit and cuDNN to enable GPU support. If you don't have an NVIDIA GPU, skip the following steps.

• Download and install CUDA 12.1 for Windows
• Download and install Visual Studio with C++ build tools
  • In the Visual Studio Installer, under Workloads, select Desktop development with C++
  • or Under Individual components, select MSVC v... - VS 20.. C++ x64/x86 build tools (not sure if that works. i selected the full c++ bundle)
  • Proceed with the installation
• Download cuDNN (any compatible version)
  • Create an NVIDIA developer account if you don't have one
• Extract the cuDNN zip file
  • Copy the files from the bin folder to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin
  • Copy the files from the include folder to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\include
  • Copy the files from the lib\x64 folder to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\lib\x64
• Download the dependencies using:

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121