added getpolygons function for Image segmentation with labelbox json (Sourcery refactored)

[sourcery-ai]

Pull Request #40 refactored by Sourcery.

Since the original Pull Request was opened as a fork in a contributor's
repository, we are unable to create a Pull Request branching from it.

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   the original Pull Request

   Incorporate changes via command line

   git fetch https://github.com/ultralytics/JSON2YOLO pull/40/head
   git merge --ff-only FETCH_HEAD
   git push

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🛠️ PR Summary

_{Made with ❤️ by Ultralytics Actions}

📊 Key Changes

• Added a new function getPolygons to process image segmentation data from Labelbox JSON format.
• The function converts images to grayscale, finds contours, and approximates polygons from these contours.
• Drawn contours on images have been refactored for clarity and to ensure data is formatted correctly.

🎯 Purpose & Impact

• This update brings image segmentation capabilities to the JSON to YOLO conversion tool, enabling users to convert complex shapes to a format compatible with YOLO object detection models.
• 🖼 It could greatly streamline the workflow for projects involving image segmentation, making it easier for data scientists and developers to prepare their data for machine learning applications.

🌟 Summary

"New getPolygons function enhances Labelbox JSON to YOLO conversion tool with powerful image segmentation support for ML model training." 🌐🖌✨

[sourcery-ai]

Sourcery Code Quality Report

❌  Merging this PR will decrease code quality in the affected files by 42.27%.

Quality metrics	Before	After	Change
Complexity	1.00 ⭐	1.00 ⭐	0.00
Method Length	21.00 ⭐	80.33 🙂	59.33 👎
Working memory	1.00 ⭐	11.86 😞	10.86 👎
Quality	99.00% ⭐	56.73% 🙂	-42.27% 👎

Other metrics	Before	After	Change
Lines	12	41	29

Changed files	Quality Before	Quality After	Quality Change
labelbox_json2yolo.py	99.00% ⭐	56.73% 🙂	-42.27% 👎

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 ⭐	199 😞	13 😞	52.28% 🙂	Try splitting into smaller methods. Extract out complex expressions

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