Python-based optical flow toolkit for existing popular dataset
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Updated
Jun 29, 2019 - Python
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 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,
JavasScript / TypeScript API for Middlebury Directory
Python script to download Middlebury 2014 Stereo Dataset (http://vision.middlebury.edu)
Makes the Middlebury Menu easier to use.
To associate your repository with the middlebury topic, visit your repo's landing page and select "manage topics."