Add models/obb/yolov8m-obb/rk3576/fp16

.gitattributes

@@ -101,3 +101,4 @@ models/segment/yolov8l-seg/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs
 models/segment/yolov8m-seg/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/classify/yolov8x-cls/rk3588/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/detect/yolov8m/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/obb/yolov8m-obb/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text

models/obb/yolov8m-obb/rk3576/fp16/metadata.yaml

@@ -0,0 +1,44 @@
+description: Ultralytics YOLOv8m-obb model trained on runs/DOTAv1.0-ms.yaml
+author: Ultralytics
+date: '2026-11-07T01:35:45.369640+00:00'
+version: 8.4.184
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: obb
+head: OBB
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: plane
+  1: ship
+  2: storage tank
+  3: baseball diamond
+  4: tennis court
+  5: basketball court
+  6: ground track field
+  7: harbor
+  8: bridge
+  9: large vehicle
+  10: small vehicle
+  11: helicopter
+  12: roundabout
+  13: soccer ball field
+  14: swimming pool
+args:
+  data: /home/ae/hanzos_workspace/nvr-matrix-20261107/calibration/images.txt
+  batch: 1
+  name: rk3576
+  fraction: 1.0
+  quantize: 16
+  simplify: true
+  opset: 19
+channels: 3
+end2end: false
+coordinates: pixels
+preprocess: letterbox
+precision: fp16
+target_platform: rk3576
+head_precision: fp16

models/obb/yolov8m-obb/rk3576/fp16/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ea9e1a171d7f9591bd25597c55684a7b7ec79e3c926e9ef48bb20e31e0b9293
+size 62287542