Skip to main content
Earlham CS/DS Portfolios

Porter Libby

CS488 – Elevator Pitch

by

My project is about extracting features from images. Using low-cost collection techniques such as satellite imagery or drone surveys, a database of positive and negative cases can be created. Additional information will be extrapolated from each image in the database using a combination of modern algorithms and combined back into a single imager as different … Read more

CS488 – week 5 – Update

by

In the last week, I have spent more time learning about using fastai with a convolutional neural network, specifically the resnet34 and resnet50 models, which I think will be ideal for my purposes. I have also been working with Jordan to get the modules for this set up on Lovelace. I have also been scavenger … Read more

CS488 – Week 4

by

This week I did a lot of research and work on the more anthropological side of my project. I emailed Tom Hamm and Greg Vaughn and got some great information about where I could find the foundations of old buildings around campus that I could use for my project. This information will hopefully be detailed … Read more

cs488 – Week 3

by

This week was a big planning week for me. I spent a lot of time writing down notes and ideas, as well as researching the details of what I need for my project. I also spent some time gathering resources for my project in the form of data from Iceland. A combination of 2018 and … Read more

CS488 – Week 2

by

In the past week, I have spent most of my capstone time organizing my project and testing some options for the machine learning component. I have been working with fast.ai and ImageAI python packages, trying to set up some groundwork for when I have data ready. I have also organized all the algorithms that I … Read more

CS488 – Week 1 Update

by

This week has been mostly organizational for me. I found some more resources on Github that I want to try and make use of, and I worked on my design plan for implementation. I talked with Igor about technologies I can use, and what I might need to use them effectively. The main obstacle right … Read more

CS388 – Week 13 Update

by

In the past week, I have been working mostly on my presentation and my proposal. My proposal is close to a finished state, but I am still working on collecting preliminary results. I have also been trying to create new figures (images and charts) which are easier to read on printed copies of my proposal. … Read more

CS388 – Week 12 – Update

by

Project Repo In the past week, I have used my peer review from Jordan, as well as my own proof-reading of a physical copy of my draft to fix a lot of errors. I wrote my draft in a bit of a rush, and as a result, there were a lot of formatting errors, most … Read more

CS388 – Week 5 – Update

by

For my first idea, I have been researching methods and corner and shape detection that I might be able to apply to my implementation. I found a very relevant paper about shape detection using VLI and NIR imagery from drones, which, while new and not especially well cited, is very closely related to what I … Read more

CS 388 – Week 4 – Update

by

For this week I tried to narrow down my research scope; I talked with Dave about my ideas, and where I might begin with researching each of them. I got some good ideas about previous work and what might work well to back up my project ideas, and then used that information to pick what … Read more

CS388 – Week 3 – Update

by

As suggested by Charlie, I chose a new direction for my third idea:Name of Your Project? Geosocial Weight AlgorithmWhat research topic/question your project is going to address? Lots of social networks, including, for example, one that I created with my classmates last year, use geolocation services to sort data. Our social network uses location to not … Read more

CS388 – Week 2 – Three Ideas

by

Idea 1 Name of Your Project? Corner Finder AI What research topic/question your project is going to address? Can deep learning and/or neural networks be used over a set of imagery to identify rectilinear structures which might be undetectable to the human eye (in other words, structures that are buried, or very obfuscated). What technology … Read more

CS388 – Week 1 – First Idea

by

Name of Your Project? Corner Finder AI What research topic/question your project is going to address? Can deep learning and/or neural networks be used over a set of imagery to identify rectilinear structures which might be undetectable to the human eye (in other words, structures that are buried, or very obfuscated). What technology will be … Read more