Difference between revisions of "Getting started with TI Jacinto 7 Edge AI/Demos/C++ Demos/Getting the models"
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== Getting the Models == | == Getting the Models == | ||
| − | + | === Download the inference models === | |
| − | * Login to your Jacinto 7 and navigate to the models directory: | + | * [[Getting_started_with_TI_Jacinto_7_Edge_AI/Introduction/Getting_Started#Login_to_the_Jacinto_7_board|Login to your Jacinto 7]] and navigate to the models directory: |
<syntaxhighlight lang=bash> | <syntaxhighlight lang=bash> | ||
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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. | 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: | + | {{Ambox |
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| + | |issue='''Note: To run the demos exemplified in this guide, the following models need to be downloaded:''' | ||
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* TFL-CL-000-mobileNetV1-mlperf | * TFL-CL-000-mobileNetV1-mlperf | ||
| − | * | + | * TFL-OD-200-ssd-mobV1-coco-mlperf-300x300 |
| − | + | * TFL-SS-254-deeplabv3-mobv2-ade20k-512x512 | |
| − | == | + | <br> |
| − | + | [[File:Model TFL-CL-002-SqueezeNet1.png|frameless|center|1150px|link=]] | |
| − | + | <div style="text-align: center;">'''Figure 1'''. Interactive menu to download models.</div><br> | |
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Latest revision as of 13:26, 8 March 2023
 | Getting started with TI Jacinto 7 Edge AI RidgeRun documentation is currently under development. |
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| Contact Us |
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-000-mobileNetV1-mlperf
- TFL-OD-200-ssd-mobV1-coco-mlperf-300x300
- TFL-SS-254-deeplabv3-mobv2-ade20k-512x512
Figure 1. Interactive menu to download models.
