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New YOLOv8 Results() class for prediction outputs (#314)

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@ -56,14 +56,14 @@ To request an Enterprise License please complete the form at [Ultralytics Licens
<div align="center">
[Ultralytics Live Session 3](https://youtu.be/IPcpYO5ITa8) ✨ is here! Join us on January 18th at 18 CET as we dive into the latest advancements in YOLOv8, and demonstrate how to use this cutting-edge, SOTA model to improve your object detection, instance segmentation, and image classification projects. See firsthand how YOLOv8's speed, accuracy, and ease of use make it a top choice for professionals and researchers alike.
[Ultralytics Live Session 3](https://youtu.be/IPcpYO5ITa8) ✨ is here! Join us on January 24th at 18 CET as we dive into the latest advancements in YOLOv8, and demonstrate how to use this cutting-edge, SOTA model to improve your object detection, instance segmentation, and image classification projects. See firsthand how YOLOv8's speed, accuracy, and ease of use make it a top choice for professionals and researchers alike.
In addition to learning about the exciting new features and improvements of Ultralytics YOLOv8, you will also have the opportunity to ask questions and interact with our team during the live Q&A session. We encourage all of you to come prepared with any questions you may have.
In addition to learning about the exciting new features and improvements of Ultralytics YOLOv8, you will also have the opportunity to ask questions and interact with our team during the live Q&A session. We encourage you to come prepared with any questions you may have.
Don't miss out on this opportunity! To join the webinar, visit our YouTube [Channel](https://www.youtube.com/@Ultralytics/streams) and turn on your notifications!
To join the webinar, visit our YouTube [Channel](https://www.youtube.com/@Ultralytics/streams) and turn on your notifications!
<a align="center" href="https://youtu.be/IPcpYO5ITa8" target="_blank">
<img width="80%" src="https://user-images.githubusercontent.com/26833433/212472119-7de539c1-5022-41cf-ae28-37b69158fbbe.png"></a>
<img width="80%" src="https://user-images.githubusercontent.com/107626595/212887899-e94b006c-5192-40fa-8b24-7b5428e065e8.png"></a>
</div>
## <div align="center">Documentation</div>
@ -76,7 +76,7 @@ documentation on training, validation, prediction and deployment.
Pip install the ultralytics package including
all [requirements.txt](https://github.com/ultralytics/ultralytics/blob/main/requirements.txt) in a
[**Python>=3.7.0**](https://www.python.org/) environment, including
[**3.10>=Python>=3.7**](https://www.python.org/) environment, including
[**PyTorch>=1.7**](https://pytorch.org/get-started/locally/).
```bash