Setting Up the Environment for YOLOv5
@genaiexp To begin working with YOLOv5, you'll first need to set up your environment. Start by installing Python 3.8 or newer, as YOLOv5 is built on it. You will also need to install PyTorch, which is the framework that YOLOv5 uses for deep learning. If you have a GPU, setting up CUDA is crucial for speeding up the training and inference processes. Clone the YOLOv5 repository from GitHub, and install the necessary dependencies, which are listed in the 'requirements.txt' file. After setting up, verify your installation by running a test detection using the provided sample images. This step ensures that your environment is correctly configured and ready for further development.