Create yolov8n.yaml

models/yolov8n.yaml

@@ -0,0 +1,39 @@
+# backend/models/yolov8n.yaml
+nc: 80  # Number of classes (default for yolov8n, adjust if custom-trained)
+depth_multiple: 0.33
+width_multiple: 0.50
+
+anchors:
+  - [10,13, 16,30, 33,23]
+  - [30,61, 62,45, 59,119]
+  - [116,90, 156,198, 373,326]
+
+backbone:
+  # [from, number, module, args]
+  [[-1, 1, Conv, [64, 3, 2]],
+   [-1, 1, Conv, [128, 3, 2]],
+   [-1, 3, C2f, [128, True]],
+   [-1, 1, Conv, [256, 3, 2]],
+   [-1, 6, C2f, [256, True]],
+   [-1, 1, Conv, [512, 3, 2]],
+   [-1, 6, C2f, [512, True]],
+   [-1, 1, Conv, [1024, 3, 2]],
+   [-1, 3, C2f, [1024, True]],
+   [-1, 1, SPPF, [1024, 5]]]
+
+head:
+  [[-1, 1, Conv, [512, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 6], 1, Concat, [1]],
+   [-1, 3, C2f, [512, False]],
+   [-1, 1, Conv, [256, 1, 1]],
+   [-1, 1, nn.Upsample, [None, 2, 'nearest']],
+   [[-1, 4], 1, Concat, [1]],
+   [-1, 3, C2f, [256, False]],
+   [-1, 1, Conv, [256, 3, 2]],
+   [[-1, 12], 1, Concat, [1]],
+   [-1, 3, C2f, [512, False]],
+   [-1, 1, Conv, [512, 3, 2]],
+   [[-1, 9], 1, Concat, [1]],
+   [-1, 3, C2f, [1024, False]],
+   [[15, 18, 21], 1, Detect, [nc, anchors]]]