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articles/machine-learning/how-to-inference-onnx-automl-image-models.md

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@@ -848,7 +848,7 @@ batch, channel, height_onnx, width_onnx = session.get_inputs()[0].shape
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batch, channel, height_onnx, width_onnx
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```
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For preprocessing required for YOLO, refer to [yolo_onnx_preprocessing_utils.py](https://github.com/Azure/azureml-examples/tree/main/v1/python-sdk/tutorials/automl-with-azureml/image-object-detection).
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For preprocessing required for YOLO, refer to [yolo_onnx_preprocessing_utils.py](https://github.com/Azure/azureml-examples/tree/main/sdk/python/jobs/automl-standalone-jobs/automl-image-object-detection-task-fridge-items).
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```python
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import glob

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