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"
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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:// | + | [https://gitlab.com/RidgeRun/rnd/i.mx-8-ai-acceleration-demo/i.mx-8-demo-jupyter-notebook Training a TinyYOLO v3 model compatible with GstInference.] |
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Latest revision as of 14:00, 21 March 2023
 | 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.
