⬢github Python · 22 ★ +18 since we first saw it · pushed 4 d ago · Apache-2.0
RenderBear/haci
Harmonic Contour Integration - A compact, fully distributed algorithm that extracts edges from RGB images
HaCI (Harmonic Contour Integration) is a compact, bio-inspired algorithm that extracts edges from RGB images. It runs four stages—pixel contrast with gain control, oriented pooling, facilitation/suppression of contours, and ridge back-projection with non-max suppression—to produce edge maps. It ships a pretrained model, training/testing/inference CLI, and benchmarks on the BRIND dataset.
Why now: It was featured in a 'Show HN' post presenting the compact, biologically inspired distributed edge detection algorithm, and includes a linked paper and benchmark results.
Who it is for: Computer vision researchers and developers interested in lightweight, biologically motivated edge detection.
Stars over our 504 snapshots: 4 to 22, since 5 d ago.
Where people talked about it
API: https://socialmediatrends-api.osmike.com/v1/repos/RenderBear/haci