SAHI YOLO RTDETR-X Video Inference

This project is an experimental implementation for running object detection on videos using SAHI and YOLO RTDETR-X from Ultralytics.

Features

• Runs inference on video files
• Uses slicing for improved detection on large images
• Filters out unwanted classes (e.g., airplanes, drones)
• Annotates detected objects and displays FPS/count

Model Download

You must manually download the model file rtdetr-x.pt and place it in the project folder. This file is not included in the repository. You can download it from the official Ultralytics website: https://docs.ultralytics.com/pt/models/rtdetr/#usage-examples or from the appropriate source for RTDETR-X models.

Usage

python main.py --source demo.mp4

Requirements

• Python 3.8+
• OpenCV
• NumPy
• SAHI
• Ultralytics YOLO

Install dependencies with:

pip install -r requirements.txt

License

Experimental use only.

Credits Video

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