Large Scale Computer Vision for Flood Disaster Management

CS 205 Final Project (Spring 2021)

Contributors: Michael Butler, Preston Ching, M. Elaine Cunha

Website

https://msbutler.github.io/cs205final.github.io/

Directory

• Train/: folder with subdirectories for labeled and unlabeled training data
• Figures/: folder containing results from performance tests
• Presentation/: folder containing slides from final presentation
• _old/: folder containing out-of-date versions of files
• architecture.py: defines CNN architecture
• config.py: configures data parameters (i.e., image resize dimensions)
• run.py: trains one instance of the supervised or semisupervised model
• semisupervised.py: specifies training methodology for the semisupervised model
• supervised.py: specifies training methodology for the fully supervised model
• strong_scaling.py: script for running strong scaling performance tests (see Replication.md for instructions)
• weak_scaling.py: script for running weak scaling performance tests (see Replication.md for instructions)
• utils.py: contains functions for image analysis and developing training/testing sets