Default `simplify=True` (#16435)

docs/en/macros/export-args.md

@@ -7,7 +7,7 @@
 | `half`      | `bool`           | `False`         | Enables FP16 (half-precision) quantization, reducing model size and potentially speeding up inference on supported hardware.                                     |
 | `int8`      | `bool`           | `False`         | Activates INT8 quantization, further compressing the model and speeding up inference with minimal accuracy loss, primarily for edge devices.                     |
 | `dynamic`   | `bool`           | `False`         | Allows dynamic input sizes for ONNX, TensorRT and OpenVINO exports, enhancing flexibility in handling varying image dimensions.                                  |
-| `simplify`  | `bool`           | `False`         | Simplifies the model graph for ONNX exports with `onnxslim`, potentially improving performance and compatibility.                                                |
+| `simplify`  | `bool`           | `True`          | Simplifies the model graph for ONNX exports with `onnxslim`, potentially improving performance and compatibility.                                                |
 | `opset`     | `int`            | `None`          | Specifies the ONNX opset version for compatibility with different ONNX parsers and runtimes. If not set, uses the latest supported version.                      |
 | `workspace` | `float`          | `4.0`           | Sets the maximum workspace size in GiB for TensorRT optimizations, balancing memory usage and performance.                                                       |
 | `nms`       | `bool`           | `False`         | Adds Non-Maximum Suppression (NMS) to the CoreML export, essential for accurate and efficient detection post-processing.                                         |

ultralytics/cfg/default.yaml

@@ -81,7 +81,7 @@ keras: False # (bool) use Kera=s
 optimize: False # (bool) TorchScript: optimize for mobile
 int8: False # (bool) CoreML/TF INT8 quantization
 dynamic: False # (bool) ONNX/TF/TensorRT: dynamic axes
-simplify: False # (bool) ONNX: simplify model using `onnxslim`
+simplify: True # (bool) ONNX: simplify model using `onnxslim`
 opset: # (int, optional) ONNX: opset version
 workspace: 4 # (int) TensorRT: workspace size (GB)
 nms: False # (bool) CoreML: add NMS

ultralytics/utils/benchmarks.py

@@ -365,7 +365,6 @@ class ProfileModels:
                 onnx_file = model.export(
                     format="onnx",
                     imgsz=self.imgsz,
-                    simplify=True,
                     device=self.device,
                     verbose=False,
                 )