Added Polyp Segmentation Module

[Kaushal-11]

1. Resizing images to a fixed size (256x256)
2. Normalizing pixel values (0-255 to 0-1 range)
3. Using metrics like accuracy, recall, and precision
4. Logging training progress and metrics to a CSV file
5. Applying a threshold (0.5) to convert probabilities to binary masks
6. Calculating evaluation metrics like Accuracy, F1 Score, Jaccard Index (IoU), Recall, Precision
7. Visualizing results : [ Original image | Ground truth mask | Predicted mask]

[github-actions]

Great job, @Kaushal-11! 🎉 Thank you for submitting your pull request. Your contribution is valuable and we appreciate your efforts to improve our project.

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

[Kaushal-11]

Hey @SrijanShovit,
I'm pleased to inform you that I have completed all the tasks assigned to me for the Polyp Segmentation module.

I'd appreciate your review of my work. Please check the code, results, and documentation. If you see any areas that need improvement please inform me.

Thank you for your guidance throughout this project.

[github-actions]

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