Article ID: 000089942 Content Type: Maintenance & Performance Last Reviewed: 12/12/2024

Low FPS When Running OpenVINO™ Toolkit Sample on Edge Insights for Autonomous Mobile Robots (AMR)

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Summary

Difference between models when running OpenVINO™ toolkit sample on Edge Insights for Autonomous Mobile Robots (AMR)

Description

OpenVINO™ toolkit sample results in different frames per second (FPS) when inferencing model after using the Model Optimizer to convert to Intermediate Representation (IR) format.

Resolution

The OpenVINO™ toolkit sample is inferencing two different models and the performance difference is expected.

  • vehicle-license-plate-detection-barrier-0106 is downloaded and converted from the Open Model Zoo
  • ssd_resnet50_v1_fpn is downloaded from Tensorflow and is converted using the Model Optimizer

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