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v0.3.1

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@jeffaudi jeffaudi released this 21 Sep 15:21
· 4 commits to main since this release
v0.3.1
83aed6c

Patch: Rotated RetinaNet Hub default is OBB (no suffix). Circum-HBB lives at *_hbb. Official Task 1 71.72% (1×) / 73.89% (3×).

Added

  • Rotated RetinaNet 1× OBB Hub — rotated_retinanet_dota_le90_1x is now exact convex IoU assign (use_hbb_for_matching: false). Official Task 1 71.72% (AP75 43.46, COCO mAP 42.18; deploy 0.25; leaky eval-val 71.12%; ahead of MMRotate OBB 68.42%).
  • Rotated RetinaNet 3× OBB Hub — rotated_retinanet_dota_le90_3x inherits 1× OBB (36 epochs). Official Task 1 73.89% (AP75 47.11, COCO mAP 44.63; deploy 0.25; leaky eval-val 78.56%).
  • HBB Hub slugs — previous circum-HBB weights: rotated_retinanet_dota_le90_1x_hbb (67.87% Task 1) and rotated_retinanet_dota_le90_3x_hbb (70.70% Task 1).
  • odet export — ONNX-only (onnx, infer, demo, preds). Same CLI as python -m export. TensorFlow / SavedModel stay removed.

Changed

  • Un-suffixed RetinaNet 1×/3× recipes are OBB; HBB is dota_le90_*_hbb.json. v0.3.0 hf://rotated_retinanet_dota_le90_1x (HBB) and …_3x (HBB) map to the _hbb slugs in 0.3.1. Old Hub filenames stay for 0.3.0 clients.
  • RetinaNet OBB deploy floor is 0.25 (eval-val F1 0.30 − 0.05). HBB stays 0.35.

Fixed

  • Deploy generate_description.py treats a DOTA class list as v1 full by set equality (Hub sidecars are alphabetical, not DOTA_V1_CLASSES order).
  • RetinaNet convex-IoU hull padding no longer fills unused shoelace slots with an exterior dummy vertex (that clamped some IoUs to 1.0). Unused slots repeat the first hull vertex.

Full changelog: https://github.com/DL4EO/oriented-det/blob/v0.3.1/docs/changelog.md

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