-2
opencv
module_error
ai_generated
partial
cv2.error: OpenCV(4.9.0) ../modules/dnn/src/onnx/onnx_importer.cpp:1122: 错误: (-2:未指定错误) 函数 'importNode': OpenCV 不支持 ONNX 算子 'ScatterND'
cv2.error: OpenCV(4.9.0) ../modules/dnn/src/onnx/onnx_importer.cpp:1122: error: (-2:Unspecified error) in function 'importNode': OpenCV does not support ONNX operator 'ScatterND'
ID: opencv/dnn-readnet-from-onnx-unsupported-op
80%修复率
87%置信度
1证据数
2024-01-15首次发现
版本兼容性
| 版本 | 状态 | 引入 | 弃用 | 备注 |
|---|---|---|---|---|
| 4.8.0 | active | — | — | — |
| 4.9.0 | active | — | — | — |
| 4.10.0 | active | — | — | — |
根因分析
ONNX 模型使用了 OpenCV DNN 模块未实现的算子(例如 ScatterND, NonMaxSuppression)。
English
The ONNX model uses an operator (e.g., ScatterND, NonMaxSuppression) that is not implemented in OpenCV's DNN module.
官方文档
https://docs.opencv.org/4.x/d6/d0f/group__dnn.html解决方案
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Export the ONNX model from PyTorch/TensorFlow with opset version 10 or lower, avoiding newer operators: torch.onnx.export(model, dummy_input, 'model.onnx', opset_version=10)
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Use a different inference backend like ONNX Runtime instead of OpenCV DNN: import onnxruntime; session = onnxruntime.InferenceSession('model.onnx')
无效尝试
常见但无效的做法:
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60% 失败
OpenCV's DNN backend has limited ONNX operator coverage; many ops remain unimplemented across versions.
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80% 失败
Conversion tools often map unsupported ops to other unsupported ops or fail entirely.