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ultralytics 8.2.27 replace onnxsim with onnxslim (#12989)

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Co-authored-by: inisis <desmond.yao@buaa.edu.cn>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Co-authored-by: inisis <46103969+inisis@users.noreply.github.com>
Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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Kayzwer 2024-06-01 01:03:34 +08:00 • committed by GitHub
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docs/en/modes/export.md
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@ -83,7 +83,7 @@ This table details the configurations and options available for exporting YOLO m
| `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 and TensorRT exports, enhancing flexibility in handling varying image dimensions. |
| `simplify` | `bool` | `False` | Simplifies the model graph for ONNX exports, potentially improving performance and compatibility. |
| `simplify` | `bool` | `False` | Simplifies the model graph for ONNX exports with `onnxsim`, 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. |