: Inference

A browser demo of Oriented-Det’s three strongest DOTA 3× checkpoints — Rotated Faster R-CNN, Rotated FCOS, and Oriented R-CNN — on seven optical satellite scenes, with a side by side comparison that lands in parity with state of the art frameworks.

Hands-on Apple Silicon comparison of Hub 3× DOTA checkpoints — Rotated FCOS (82.32% eval-val) vs Oriented R-CNN (79.40%) — MPS latency, training wall on NVIDIA L4 (~5.7× faster for FCOS), score thresholds, and side-by-side detections.

Oriented-det v0.1.1 is on PyPI — ProbIoU ROI regression, MMRotate-aligned training fixes, published eval reports, a refreshed DOTA le90 zoo led by Rotated Faster R-CNN 3× at 83.42% eval-val mAP50 (~7× faster inference than Oriented R-CNN 3×), and a hands-on harbor-scene demo.