Difference between revisions of "Getting started with TI Jacinto 7 Edge AI/Demos/Python Demos/Getting the models"
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=== {{Download}} Download the inference models === | === {{Download}} Download the inference models === | ||
| − | + | Login to your Jacinto 7 and navigate to the models directory: | |
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| − | '''Note:''' To run the demos exemplified in this guide, the following models need to be downloaded: | + | |type=notice |
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* TFL-CL-002-SqueezeNet | * TFL-CL-002-SqueezeNet | ||
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| − | [[File:Getting-models-menu.png| | + | [[File:Getting-models-menu.png|frame|Interactive models|center|900px|link=|Figure 1. Interactive menu to download models]] |
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Latest revision as of 13:29, 8 March 2023
 | Getting started with TI Jacinto 7 Edge AI RidgeRun documentation is currently under development. |
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Getting the Models
Download the inference models
Login to your Jacinto 7 and navigate to the models directory:
cd /opt/edge_ai_apps/models
- Run the download_models.sh script to download the pre-imported models:
./download_models.sh
An interactive menu will launch with the list of pre-imported models. Use the space bar to select the models intended for download. See Figure 1.
 | Note: To run the demos exemplified in this guide, the following models need to be downloaded: |
- TFL-CL-002-SqueezeNet
- TFL-OD-200-ssd-mobV1-coco-mlperf-300x300
- TVM-SS-569-fpnlite-aspp-regnetx400mf-ade20k32-384x384
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Figure 1. Interactive menu to download models
