espiownage: Tracking Transients in Steelpan Drum Strikes Using Surveillance Technology

no code implementations • 23 Oct 2021 • Scott H. Hawley, Andrew C. Morrison, Grant S. Morgan

Besides improvements on previous metric scores by 10% or more, noteworthy in this project are the introduction of a segmentation-regression map for the entire drum surface yielding interference fringe counts comparable to those obtained via object detection, as well as the accelerated workflow for coordinating the data-cleaning-and-model-training feedback loop for rapid iteration allowing this project to be conducted on a timescale of only 18 days.

Image Segmentation Object +5