RealSense Depth Sensing Object Detection with YOLOv5

This repository aims to integrate the RealSense D455 Depth Sensing Camera with the YOLOv5 object detection algorithm for enhanced object detection accuracy and performance. By incorporating depth information, the project strives to improve object localization and recognition in real-world environments.

Features

• Integration of the RealSense D455 Depth Sensing Camera with YOLOv5
• Utilizes depth information for more precise object localization
• Improved accuracy and robustness in object detection
• Real-time object detection and depth visualization

Prerequisites

• Python 3.x
• Intel RealSense SDK
• PyTorch
• OpenCV
• Other necessary dependencies (listed in requirements.txt)

Installation

1. Clone the repository:

   git clone https://github.com/Paulraj916/YOLOv5_with_RealSense_D455_Depth_Sensing.git

2. Install the required dependencies:

   pip install -r requirements.txt

3. Run the main script:

   python  depthScale_realsense.py

Demo

sample video here