Orchestrated by Alejandro Castaneda and Renee Wu at Portland State University for CS 410 - Computer Vision with Feng Liu.
The following project compares the Teknomo-Fernandez algorithm, a spin-off of a Monte-Carlo inspired algorithm, and the median filter to view which algorithm works best to generate background images in varying sets of datas.
data/ - contains all the datasets used in the project.
results/ - contains all the resulting images in tf* (Teknomo Fernandez), mc* (Monte-Carlo inspired) and median* with the dataset following its name.
Report.pdf - contains the final report submitted with the project discussing the results, method, and more formal information.
bggen.py - The mitochondria of this project. Contains all the code executed.
requirements.txt - Libraries used with the project.