WarThunderRangefinder

WarThunder Rangefinder – YOLOv8 Model

This repository contains a custom-trained YOLOv8 model designed for detecting vehicles and rangefinding elements in War Thunder gameplay footage.
The model can be used for object detection, aiming assistance, range estimation, and other computer vision tasks.

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🧠 Model Overview

• Architecture: YOLOv8
• Task: Object Detection
• Framework: Ultralytics
• Supported Inputs: Images & video frames
• Output: Bounding boxes, confidence scores, class predictions

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📦 Repository Contents

• best.pt – Trained YOLOv8 model weights
• README.md – Model documentation
• Additional config files depending on your upload

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🚀 Usage Example

from ultralytics import YOLO

# Load the model
model = YOLO("best.pt")

# Run inference
results = model("example.jpg")

# Show detection results
results.show()