Learning to write

Ice skating collision prediction

In this work, which started as a client project, I had the opportunity to deal with various interesting challenges: Finding a tracking architecture capable of tracking dozens of persons in real time, generating training data for a scenario where real footage would be unavailable during development and finally finding a way to rapidly find intersections between a large amount of curved trajectories for collision prediction.


Synthetic snickers counting

I generated a synthetic dataset of photorealistic renderings containing a varying amount of Snickers chocolate bars, arranged in a realistic way by rigid body simulation. This dataset was then used to train a classifier counting the amount of Snickers in each image. I used this project when following introductory tutorials to the PyTorch library.