Post Training Optimization - A Real Example of Integer Calibration | OpenVINO™ toolkit | Ep. 69

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A real end-to-end example how to calibrate a model to INT8.
Operating the OpenVINO POT - Post Training Optimization Tool,
How to calibrate to INT8 using different strategies, how to measure the performance and the accuracy.

OpenVINO toolkit Github: https://github.com/openvinotoolkit/openvino/blob/master/docs/how_tos/POT_how_to_example.md

Please follow the git-hub copy & paste how-to:
https://github.com/openvinotoolkit/openvino/blob/master/docs/how_tos/POT_how_to_example.md
This is a full example
1. Installation required
2. Download a mobilenet model
3. Convert to IR format
4. Measure baseline performance and accuracy of the FP32 model
5. Calibrate to INT8 using default strategy .. and measure accuracy and performance
6. Accuracy aware quantization and compare accuracy and performance

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Post Training Optimization - A Real Example of Integer Calibration | OpenVINO™ toolkit | Ep. 69



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Tags:
OpenVINO
inference
Integer
Quantization
calibration
low precision
deep-learning
AI
intel
intel software
Intel Developer Zone
IDZ