Convert the COCO RLE format to YOLOv5/v8 segmentation format. (Sourcery refactored)

Pull Request #61 refactored by Sourcery.

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```
git fetch https://github.com/ultralytics/JSON2YOLO pull/61/head
git merge --ff-only FETCH_HEAD
git push
```

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🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

📊 Key Changes

Added the ability to convert COCO RLE (Run Length Encoding) formatted annotations to YOLOv5/v8 segmentation format.
Implemented functions to support keypoints in annotations, including flip indices and merging multiple contours.
Introduced utility functions for various transformations like converting masks to polygons, RLE to polygon, and more.

🎯 Purpose & Impact

The purpose of these changes is to enhance the JSON2YOLO conversion tool to support more complex annotation formats used in computer vision datasets, especially keypoints and segmentation masks. 🌐 This will allow developers and researchers who use the YOLO format for object detection and instance segmentation tasks to work with a broader range of datasets that may contain different types of annotations. For non-experts, these features make it easier to convert datasets without needing an in-depth understanding of annotation formats, potentially accelerating their AI/ML projects.

🌟 Summary

Now you can convert COCO dataset annotations with keypoints and segmentation to the YOLO format in a snap! 🎉 This update makes your data transformation tasks much simpler and supports more types of computer vision training escapades. 🚀

ultralytics / JSON2YOLO