Scopi is an intelligent camera app for taking VR photos. Using Scopi, users can take photos in stereoscopic pairs. Scopi automatically registers (aligns), crops and stabilizes your pairs for the best viewing experience in a VR viewer. Scopi uses Kotlin and Java code on Android and Swift on iOS. Algorithm code is written in C++. Scopi has over 10,000 users across both platforms.
DeepSegments is a tool for generating ground-truth segmentations for use in deep learning segmentation models. It provides a simple method for researchers to quickly segment their datasets. Users can choose from two different segmentation methods, SLIC and graph cuts. The program will make label suggestions by propagating user-given labels to unlabeled portions. Label suggestions can be given by an unsupervised k-means algorithm or a user-supplied pre-trained model.
As part of my consulting work for a brewery group I developed a computer vision tool for yeast cell counting and classification. Brew Counts is a tool for automatically counting and classifying yeast cells. Brew Counts makes in-lab yeast analysis fast and easy while improving your data’s accuracy, objectivity, and sample size. It allows users to tightly control pitch rates, track yeast health, and monitor fermentations without spending hours counting circles through a microscope.
A java program that will randomly scramble an 8 puzzle and then show the solution path. It utilizes a variety of search methods including breadth first, depth first and best first (A*).
Coffee Paint is a simple program similar to the classic ms-paint. It has a variety of options and was developed using java.
