This repository contains code for project "Roof Segmentation from Aerial Imagery", submitted as final project for CSCI-B657(Computer Vision) course.

Team members :

• Sripad Joshi (joshisri)
• Srimanth Agastyraju (sragas)
• Himani Shah (shahhi)
• Karan Acharya (karachar)

Aerial Imagery for Roof Segmentation

Install dependencies

pip3 install -r roof_segmentation.txt

Run the notebooks in the following order

• Training.ipynb : Contains data preprocessing and training code.
• Inference.ipynb : Contains code to perform inference on the test data, calculate dice score, and overlay prediction masks on the image.
• metrics.ipynb : This notebook plots loss curves and dice score curves for training and validation set.

Some parts of codes in this repository are inspired from a previous project one of our team members (joshisri: Sripad Joshi) worked on. The said project was his personal project and was not submitted as any assignment/project to any of the courses at Indiana University or elsewhere. It can be found at - https://github.com/j-sripad/colon_crypt_segmentation .