Add models/depth/yolo26m-depth/rk3576/fp16

.gitattributes

@@ -126,4 +126,4 @@ models/obb/yolo26m-obb/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -tex
 models/obb/yolo26l-obb/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/classify/yolo26x-cls/rk3576/int8/model.rknn filter=lfs diff=lfs merge=lfs -text
 models/semantic/yolo26l-sem/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
-models/detect/yolo26m/rk3588/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text
+models/depth/yolo26m-depth/rk3576/fp16/model.rknn filter=lfs diff=lfs merge=lfs -text

models/depth/yolo26m-depth/rk3576/fp16/metadata.yaml

@@ -0,0 +1,34 @@
+description: Ultralytics YOLO26m-depth-log model trained on /home/rick/ultralytics_depth_anything/ultralytics/cfg/datasets/depth-mega-v11-imagenet-u7.yaml
+author: Ultralytics
+date: '2026-11-07T01:41:16.378517+00:00'
+version: 8.4.184
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: depth
+head: Depth
+batch: 1
+imgsz:
+- 384
+- 384
+names:
+  0: depth
+args:
+  data: null
+  batch: 1
+  fraction: 1.0
+  quantize: null
+  nms: null
+  dynamic: false
+  simplify: true
+  opset: 19
+  format: rknn
+  precision: fp16
+channels: 3
+end2end: false
+dense_resize: align_corners
+precision: fp16
+target_platform: rk3576
+coordinates: pixels
+preprocess: letterbox
+head_precision: fp16

models/depth/yolo26m-depth/rk3576/fp16/model.rknn

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d11cd3eefbd998dcdd24570e3e934c83fc700d134ba6effd6aa8671baa126f5d
+size 49638725