Difference between revisions of "Getting started with AI on NXP i.MX8M Plus/Neural Processing Unit/Use Case experiments: Smart Parking/Introduction to the use case/License Plate Detection/TinyYOLO version 3/Training a model compatible with GstInference"
< Getting started with AI on NXP i.MX8M Plus | Neural Processing Unit/Use Case experiments: Smart Parking | Introduction to the use case | License Plate Detection | TinyYOLO version 3
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For train a TinyYOLO v3 model that detects license plates, the following Google Colaboratory was developed in order to have a workflow for training such sort of models for customized data sets: | For train a TinyYOLO v3 model that detects license plates, the following Google Colaboratory was developed in order to have a workflow for training such sort of models for customized data sets: | ||
[https://colab.research.google.com/drive/1iw8SF2yCJamYCqLIC8NtOXEaitM_ikUj?usp=sharing Training a TinyYOLO v3 model compatible with GstInference.] | [https://colab.research.google.com/drive/1iw8SF2yCJamYCqLIC8NtOXEaitM_ikUj?usp=sharing Training a TinyYOLO v3 model compatible with GstInference.] | ||
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Revision as of 17:00, 24 November 2021
 | Getting started with AI on NXP i.MX8M Plus RidgeRun documentation is currently under development. |
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Getting the Google Colaboratory trainer
For train a TinyYOLO v3 model that detects license plates, the following Google Colaboratory was developed in order to have a workflow for training such sort of models for customized data sets: Training a TinyYOLO v3 model compatible with GstInference.
