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Optimizing Model with Dynamic Input Shape using Intel® Distribution of OpenVINO™ Toolkit for Implementing Unconstrained Automatic License Plate Recognition - Technical Paper
Optimizing Model with Dynamic Input Shape using Intel® Distribution of OpenVINO™ Toolkit for Implementing Unconstrained Automatic License Plate Recognition - Technical Paper
https://builders-demo.onsumaye.com/solutionslibrary/optimizing-model-with-dynamic-input-shape-using-intel-distribution-of-openvino-toolkit-for-implementing-unconstrained-automatic-license-plate-recognition-technical-paper
Last Updated: Mar 12, 2025
This document introduces the BKM for optimizing and implementing the unconstrained automatic license plate recognition (ALPR) using OpenVINO™ Toolkit 2022.1. Unlike the conventional methods, the unconstrained ALPR can detect distorted license plates (LPs) captured at non-frontal views. It is achieved by resizing the input vehicle image according to its aspect ratio before being fed to the license plate detection model.
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