Welcome to Road Train Demo’s documentation!

Exploring YOLOv4 and DeepSORT for use on the National Railway Museum roadtrain for object detection and tracking

Contents:

Introduction:

• Setup
  • Downloading Pre-trained Weights
  • Using Custom Trained YOLOv4 Weights
  • YOLOv4 and DEEPSORT using TensorFlow (.pb model)
• Uses
  • Self driving vehicles
  • Optical Character Recognition (OCR)
  • Hazard perception
  • Security camera tracking and counting

YOLOv4:

• How does it Work?
  • Classification vs Regression-based
  • Detecting Objects
• How to count objects
• Core Docstrings
  • core package

DEEPSORT:

• How does it Work?
  • DeepSORT vs YOLO
  • Object Tracking
• How to count objects
• DeepSORT Docstrings
  • deep_sort package
  • tools package