Installation Guide

Installation Guide

Prerequisites

• Python: Latest version
• NVIDIA GPU (highly recommended): For accelerated processing

Setup and Installation

1. Install Python
   • Download and install from Python's official website.

2. Set Up YOLOv8 Project

   mkdir YOLO_PROJECT/yolov8-python
   cd YOLO_PROJECT/yolov8-python

3. Create a Virtual Environment

   • Using venv:

     python -m venv env

     Activate the virtual environment:

     • On Windows:

       .\env\Scripts\activate

     • On macOS/Linux:

       source env/bin/activate

   • Using conda: For detailed instructions on creating a conda environment, refer to the Official Anaconda Documentation.

4. Install GPU Drivers and CUDA
   • Install NVIDIA GPU drivers.

5. Install Required Packages

   • Install the packages from the "requirements.txt" file.

   pip install -r requirements.txt

   • Install pyTorch and its dependencies. Get the architecture, platform and select the latest version of cuda from pyTorch Website

EXAMPLE

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124

6. Verification

   • Verify all installations by running the test files from the "TestFiles" folder.
     • Run "Test_Camera.py" to get the ids for the camera source.
     • Run "Test_Cuda_GPU.py" to check the proper verification of cuda installation and gpu detection.