Derek Austin

Automated tennis tracking without labels: GroundingDINO, Kalman filtering, and court homography Derek Austin · Follow Published in Towards Data Science · 8 min read · 9 hours ago — Zero shot tracking of an entire tennis point. Video provided under an MIT License, and animation created by author. With the recent surge in sports tracking projects, many inspired by Skalski’s popular soccer tracking project, there’s been a notable shift towards using automated player tracking for

Part 3 of our Gaussian Splatting tutorial, showing how to render splats onto a 2D image Derek Austin · Follow Published in Towards Data Science · 8 min read · 4 hours ago — Finally, we reach the most intriguing phase of the Gaussian splatting process: rendering! This step is arguably the most crucial, as it determines the realism of our model. Yet, it might also be the simplest. In part 1 and part 2

Understanding and coding how Gaussians are used within 3D Gaussian Splatting Derek Austin · Follow Published in Towards Data Science · 8 min read · 2 hours ago — Now on to gaussians! Everyone’s favorite distribution. If you are just joining us, we have covered how to take a 3D point and translate it to 2D given the location of the camera in part 1. For this article we will be moving onto dealing with