added getpolygons function for Image segmentation with labelbox json

[DeTandtThibaut]

🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

📊 Key Changes

• A new function getPolygons has been added, which processes an image URL to find and return the contours of objects in the image as polygon coordinates.

🎯 Purpose & Impact

• The added functionality is designed for image segmentation tasks in machine learning, where object outlines (polygons) need to be detected and processed. This function is particularly useful for converting Labelbox JSON annotations to a format compatible with the YOLO (You Only Look Once) model.
• Users benefit from automated conversion of segmented image data to YOLO format, enhancing the development of more accurate object detection models.

🌟 Summary

• 🖼️ Added getPolygons function for extracting and converting image segmentation polygons from Labelbox JSON to YOLO format.

[sourcery-ai]

Sourcery Code Quality Report

❌  Merging this PR will decrease code quality in the affected files by 42.68%.

Quality metrics	Before	After	Change
Complexity	1.00 ⭐	1.00 ⭐	0.00
Method Length	21.00 ⭐	81.33 🙂	60.33 👎
Working memory	1.00 ⭐	11.91 😞	10.91 👎
Quality	99.00% ⭐	56.32% 🙂	-42.68% 👎

Other metrics	Before	After	Change
Lines	12	40	28

Changed files	Quality Before	Quality After	Quality Change
labelbox_json2yolo.py	99.00% ⭐	56.32% 🙂	-42.68% 👎

Here are some functions in these files that still need a tune-up:

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
labelbox_json2yolo.py	getPolygons	1 ⭐	202 😞	13 😞	52.06% 🙂	Try splitting into smaller methods. Extract out complex expressions

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