Article ID: 000088868 Content Type: Maintenance & Performance Last Reviewed: 07/07/2022

Accuracy Drops after Converting ONNX Model to Intermediate Representation (IR)

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Summary

Utilize Accuracy Checker to help achieve the highest performance accuracy

Description
  • Converted ONNX model into IR.
  • Ran IR with Benchmark C++ Tool and its performance accuracy dropped 20% compared to running ONNX model with PyTorch.
  • Unable to determine how to pre-process image for better accuracy.
Resolution

Accuracy Checker supports set of preprocessors to process input data before model inference.

Change the type of supported preprocessors in configuration file to obtain the highest accuracy.

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