Jetson YOLOv5 Object Detection

This project contains a Dockerized application that runs real-time object detection on a Jetson device using YOLOv5 and OpenCV. The application captures live video from a USB camera and performs object detection with bounding box visualization.

Project Structure

• src/detect.py: The Python script that contains the object detection logic.
• src/requirements.txt: List of Python dependencies.
• Dockerfile: Instructions for building the Docker image.
• docker-compose.yml: Configuration for running the container using Docker Compose.

Prerequisites

• A Jetson device with Docker and NVIDIA Container Toolkit installed.
• A USB camera connected to the Jetson device (e.g., Logitech camera).

Building and Running the Application

1. Clone the repository and navigate to the project directory:

   git clone <repository_url>
   cd jetson-yolov5-detection