Here I talk about my first introduction to Computer Vision when I visited AWS re:Invent in Las Vegas.

Check out this 1 day project I did to isolate and transcribe sticky notes on a wall.

When I’m not doing projects or research, I’m working a 9-5. Here I talk a little about the type of CV I do every day at work.

For over a year, I’ve been researching using game engines for digital twins, data synthesis, and VR applications.

Here I discuss building a synthetic dataset using Unreal Engine and Motion Capture animation.

Using the Unreal Engine, I built a proof of concept warehouse simulator.

Using Unity, video footage, MeshLab, and even NeRFs, I explore what it takes to take a real life sculpture and add it to a Virtual Museum.

Check out some of the hardware that I use for my tech projects. Featuring my NVIDIA 3090 Ti.

NeRFs have been the newest CV technology to blow up in the community. Here are my thoughts.

Here are two methods of taking a trained NeRF and viewing them in VR.

For this project, I used the newest YOLOv8 framework from ultralytics to detect and track salmon in a model I trained from scratch.

Talking about AI image generation and showing off a few examples I made.

Using Roboflow, ByteTrack, Supervision, and YOLOv8 to identify and track logistics objects in context (LOCO)

Using OpenPose, ControlNet, and Stable Diffusion to recast the Harry Potter films with 1990s models

Training a textual inversion embedding to pick up on Accenture’s ‘marketing aesthetic’

Experimenting on clustering groups of images based on the extracted features from a Vision Transformer.

Exploring using BLIP to caption videos and using embeddings to identify important video frames.

Using LumaAI API to make an embed for a website