Tag: Pretrained-Models

September 21, 2026 Oriented-Det v0.3.1 — four datasets, ONNX, and RetinaNet OBB
Oriented-det v0.3.1 is on PyPI — native HRSC2016, FAIR1M, SSDD, and HRSID loaders, HRSC Hub 3× zoo, DOTA advertised from 1×, RetinaNet Hub OBB, and ONNX export.
September 13, 2026 HRSC2016 in oriented-det — recipes, trains, and a held-out 90.41%
Native HRSC2016 ship detection in oriented-det: ImageSets trainval in, held-out test out, three 3× Hub weights. Oriented R-CNN 90.41%, Faster R-CNN 88.77%, FCOS 88.34% mAP50 on NVIDIA L4.
August 28, 2026 Oriented-Det v0.2.0 — Rotated FCOS, decoded rIoU, and a four-family zoo
Oriented-det v0.2.0 is on PyPI — Rotated FCOS joins the zoo as the balanced one-stage detector, with a decoded rIoU 1× Hub checkpoint at 73.07% official DOTA Task 1, and the same Apache 2.0 stack.
July 10, 2026 Rotated Faster R-CNN on DOTA without custom CUDA: sampled rIoU, ProbIoU, and a 74.42% Task 1 checkpoint
Why OrientedDet avoids MMRotate's exact CUDA IoU kernels, how ProbIoU trains oriented boxes in pure PyTorch, and why the 1× Rotated Faster R-CNN Hub weight beats MMRotate on official DOTA Task 1.
June 29, 2026 Sliding-window inference on images larger than the DOTA canvas
How odet image-demo tiles images larger than 1024×1024, merges overlapping windows, and filters classes — using the Oriented R-CNN 1× Hub checkpoint retrained after a diagonal-flip bug.