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abhisheks008 / DL-Simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
https://quine.sh/repo/abhisheks008-DL-Simplified-499023976
MIT License
317 stars 288 forks source link

Add polyp segmentation #757

Closed Kaushal-11 closed 2 weeks ago

Kaushal-11 commented 3 weeks ago

This project implements polyp segmentation in colonoscopy images using three different deep learning architectures: UNet, ResUNet, and DeepLabV3+.

Key Features :- Image Preprocessing: Resizing images to 256x256, normalizing pixel values. Training: Uses accuracy, recall, and precision as metrics, logging progress and metrics to a CSV file. Thresholding: Applies a 0.5 threshold to convert probabilities to binary masks. Evaluation: Calculates metrics like Accuracy, F1 Score, Jaccard Index (IoU), Recall, and Precision. Visualization: Displays original images, ground truth masks, and predicted masks side-by-side.

github-actions[bot] commented 3 weeks ago

Our team will soon review your PR. Thanks @Kaushal-11 :)

abhisheks008 commented 3 weeks ago

Please follow the project structure and reduce the number of files.

Kaushal-11 commented 3 weeks ago

I've attempted to consolidate files, but I've encountered some challenges related to model compatibility. Specifically, integrating certain components into fewer files has resulted in issues with the models not functioning as expected.

abhisheks008 commented 2 weeks ago

Closing this pull request as not working.