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Setting Up the Project on Windows

If you are a Windows user and want to try out our project, follow the steps outlined to ensure it runs smoothly without errors.

YouTube Tutorial: Watch this helpful YouTube video which provides a detailed guide.

Text Guide: Another helpful source in Text form.

1. Download the required Software

Before getting started, ensure you have the necessary software installed:

  • PyTorch: Visit the PyTorch website to get the correct version number of CUDA and a pip install command.

  • Visual Studio: Download the latest version of Visual Studio from here.

  • CUDA Toolkit: Choose the CUDA version compatible with PyTorch from the NVIDIA website's CUDA Toolkit Archive.

  • cuDNN: Select the appropriate cuDNN version corresponding to your chosen CUDA version from the cuDNN Archive.

2. Installation

Follow the installation instructions provided with each software package to complete the setup process.

  • Extracting cuDNN Files: Extract the cuDNN zip file. You'll need to move some files from the cuDNN directory to specific subfolders within the CUDA directory. This process is explained in detail in the YouTube video mentioned above, starting from minute 08:40. Refer to the video for a step-by-step walkthrough.
  • Execute the command from the PyTorch website: It should look something like this: 
    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

To verify that everything is set up correctly, run a test script:

  1. Run the script: Execute the script by running the following command in your terminal:

    python test.py

    If you see the name of your NVIDIA GPU printed, it means the installation was successful. If CUDA is not available, please check your installation steps.