Update final README.md

README.md

@@ -21,7 +21,7 @@ JDet. Code: <https://github.com/mingqian-233/Point2RBox-v3-jittor>.
 | Model | Paper (PyTorch) | This repo (Jittor) |
 |---|---|---|
 | Point2RBox-v3 end-to-end (12 ep) | 61.38 | **59.52** |
-| Point2RBox-v3 two-stage (rotated-FCOS) | 67.24 | **TBD（Task1 包已生成，待服务器）** |
+| Point2RBox-v3 two-stage (rotated-FCOS) | 67.24 | **65.50** |
 
 The end-to-end number is the official DOTA-v1.0 Task1 test-server mAP50
 (`0.5952330691632053`) and passes the project's paper−2.0 acceptance threshold
@@ -31,12 +31,12 @@ Local diagnostic only: the norm-eval-correct end-to-end checkpoint scores
 **66.6056 mAP50** on the unmerged 1024×1024 trainval-patch protocol. The
 same-machine full upstream PyTorch run scores **65.60**, while the published
 upstream log reports **66.70**. This is not the official DOTA test-server
-protocol; the merged test submission has been generated and awaits server
-evaluation.
+protocol; the official server result is reported in the table above.
 
 The completed two-stage checkpoint scores **75.7029 mAP50** on the same local
-trainval-patch diagnostic. Its canonical Task1 submission has been generated;
-the official DOTA test-server result is pending.
+trainval-patch diagnostic and **65.50 mAP50** on the official DOTA-v1.0 Task1
+test server. The latter passes the project's paper−2.0 acceptance threshold
+of 65.24.
 
 The generated stage-2 pseudo boxes were also matched directly against all
 245,953 trainval GT boxes. They achieve mean rotated IoU **0.7330**,