: Macos
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Rotated FCOS vs Oriented R-CNN on macOS
Hands-on Apple Silicon comparison of Hub 1× DOTA checkpoints — Rotated FCOS (73.07% official Task 1) vs Oriented R-CNN (76.73%) — MPS latency, 1× training wall on NVIDIA L4, score thresholds, and side-by-side detections.
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Oriented object detection on macOS, in pure Python
Run Oriented R-CNN on Apple Silicon with pip, uv, and the odet CLI — no CUDA toolchain, from demo.jpg to result.jpg in minutes.