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Engine Model and Results Docs improvements (#14564)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
Co-authored-by: Felipe Parodi <fparodi@pennmedicine.upenn.edu>
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Glenn Jocher 2024-07-21 20:14:49 +02:00 • committed by GitHub
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examples/YOLOv8-SAHI-Inference-Video/readme.md
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@ -46,7 +46,7 @@ python yolov8_sahi.py --source "path/to/video.mp4" --save-img --weights "yolov8n
**1. What is SAHI?**
SAHI stands for Slicing, Analysis, and Healing of Images. It is a library designed to optimize object detection algorithms for large-scale and high-resolution images. The library source code is available on [GitHub](https://github.com/obss/sahi).
SAHI stands for Slicing Aided Hyper Inference. It is a library designed to optimize object detection algorithms for large-scale and high-resolution images. The library source code is available on [GitHub](https://github.com/obss/sahi).
**2. Why use SAHI with YOLOv8?**