Python-based optical flow toolkit for existing popular dataset

Converts Optical Flow files to images and optionally compiles them to a video. Flow viewer GUI is also available. Check out mockup right from Github Pages:

A tutorial on stereoscopic depth maps, focusing on triangulation and rectification

Understand what's happening in an optical flow video with simple visualizations - pip install flowvid

Small test bed for some basic stereo algorithms

MiddCourses is a course review application for Middlebury College. Created by MiddDev.

The Course Reviews core.

A REST API for menus.middlebury.edu.

A Python API for the Middlebury course catalog.

The Interactive Textile Explorer is a R Shiny application built for Middlebury College's Data Science Across Disciplines Class in the 2021 J-term. The application was later extended by Nicholas Sliter,

Python script to download Middlebury 2014 Stereo Dataset (http://vision.middlebury.edu)

JavasScript / TypeScript API for Middlebury Directory

Makes the Middlebury Menu easier to use.

A Python API for the Middlebury directory.