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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+ax620e/yolov8s_seg.axmodel filter=lfs diff=lfs merge=lfs -text
+ax650/yolov8s_seg.axmodel filter=lfs diff=lfs merge=lfs -text

ax620e/yolov8s_seg.axmodel

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32f18c18bf9333997c2090cc9ecb274935decb789ec49002fba9b2c36a197f74
+size 32162875

ax650/yolov8s_seg.axmodel

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1ef65880161e55675f43ab8d2f7de98169169c95052a96c58fb464957181b222
+size 12587629

cut-onnx.py

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+import onnx
+
+input_path = "yolov8s-seg.onnx"
+output_path = "yolov8s-seg-cut.onnx"
+input_names = ["images"]
+output_names = ["/model.22/Concat_1_output_0", 
+                "/model.22/Concat_2_output_0", 
+                "/model.22/Concat_3_output_0",
+                "/model.22/cv4.0/cv4.0.2/Conv_output_0",
+                "/model.22/cv4.1/cv4.1.2/Conv_output_0",
+                "/model.22/cv4.2/cv4.2.2/Conv_output_0",
+                "output1"]
+
+onnx.utils.extract_model(input_path, output_path, input_names, output_names)

yolov8-seg-test.py

@@ -0,0 +1,16 @@
+from ultralytics import YOLO
+
+# Load a model
+model = YOLO("yolov8s-seg.pt")
+model.info()
+
+# Use the model
+results = model("./images/ssd_car.jpg")
+
+# Save the results
+results[0].save("yolov8s-seg-result.jpg")
+
+# Export to onnx with simplify
+model.export(format='onnx', simplify=True)
+
+

yolov8_seg_config.json

@@ -0,0 +1,52 @@
+{
+  "model_type": "ONNX",
+  "npu_mode": "NPU1",
+  "quant": {
+    "input_configs": [
+      {
+        "tensor_name": "images",
+        "calibration_dataset": "./dataset/coco_1000.tar",
+        "calibration_size": 32,
+        "calibration_mean": [0, 0, 0],
+        "calibration_std": [255.0, 255.0, 255.0]
+      }
+    ],
+    "calibration_method": "MinMax",
+    "precision_analysis": true,
+    "precision_analysis_method":"EndToEnd"
+  },
+  "input_processors": [
+    {
+      "tensor_name": "images",
+      "tensor_format": "BGR",
+      "src_format": "BGR",
+      "src_dtype": "U8",
+      "src_layout": "NHWC"
+    }
+  ],
+  "output_processors": [
+    {
+      "tensor_name": "/model.22/Concat_1_output_0",
+      "dst_perm": [0, 2, 3, 1]
+    },    {
+      "tensor_name": "/model.22/Concat_2_output_0",
+      "dst_perm": [0, 2, 3, 1]
+    },    {
+      "tensor_name": "/model.22/Concat_3_output_0",
+      "dst_perm": [0, 2, 3, 1]
+    },
+    {
+      "tensor_name": "/model.22/cv4.0/cv4.0.2/Conv_output_0",
+      "dst_perm": [0, 2, 3, 1]
+    },    {
+      "tensor_name": "/model.22/cv4.1/cv4.1.2/Conv_output_0",
+      "dst_perm": [0, 2, 3, 1]
+    },    {
+      "tensor_name": "/model.22/cv4.2/cv4.2.2/Conv_output_0",
+      "dst_perm": [0, 2, 3, 1]
+    }
+  ],
+  "compiler": {
+    "check": 0
+  }
+}

yolov8s-seg-cut.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43b1762c0f99d154007ef013e145be3181502f31e9ef46ec2446927a9c7e3c60
+size 47306938