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ax620e/yolo11s.axmodel.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2390c92feaa5bbb434f26a501423d5acae6521fdbc7635445364ed9105a43edb
+size 9910997

ax650/yolo11s.axmodel.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:bad83368e9d68ae9740e9bb72c34e6b8173635faca7eb366e5484f578fa10fa2
+size 10491152

cut-onnx.py

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+import onnx
+
+input_path = "yolo11s.onnx"
+output_path = "yolo11s-cut.onnx"
+input_names = ["images"]
+output_names = ["/model.23/Concat_output_0", "/model.23/Concat_1_output_0", "/model.23/Concat_2_output_0"]
+
+onnx.utils.extract_model(input_path, output_path, input_names, output_names)

yolo11-test.py

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+from ultralytics import YOLO
+
+# Load a model
+model = YOLO("yolo11s.pt")
+model.info()
+
+# Use the model
+results = model("./images/ssd_horse.jpg")
+
+# Save the results
+results[0].save("yolo11s-result.jpg")
+
+# Export to onnx with simplify
+model.export(format='onnx', simplify=True)
+
+

yolo11_config.json

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+{
+  "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.23/Concat_output_0",
+      "dst_perm": [0, 2, 3, 1]
+    },    {
+      "tensor_name": "/model.23/Concat_1_output_0",
+      "dst_perm": [0, 2, 3, 1]
+    },    {
+      "tensor_name": "/model.23/Concat_2_output_0",
+      "dst_perm": [0, 2, 3, 1]
+    }
+  ],
+  "compiler": {
+    "check": 2
+  }
+}

yolo11s-cut.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dd483e87031d8c7bd04aaf18e6a50cd71006c9b086d09df4eb3614cd6cab3bf0
+size 37856530