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    <title>topic Re: SLN-TLHMI-IOT in Other NXP Products</title>
    <link>https://community.nxp.com/t5/Other-NXP-Products/SLN-TLHMI-IOT/m-p/1789355#M20803</link>
    <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.nxp.com/t5/user/viewprofilepage/user-id/216535"&gt;@Bay&lt;/a&gt;&amp;nbsp;，&lt;/P&gt;
&lt;P&gt;&amp;nbsp; I also help you to check it with our internal expert.&lt;/P&gt;
&lt;P&gt;&amp;nbsp; You can use the pytorch/tensorflow train yourself model, then use the nanoai convert switch to the nanoai module format, the nanoai will generate one .a library, and the project can call the library API as the inference.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Wish it helps you!&lt;/P&gt;
&lt;P&gt;Best Regards,&lt;/P&gt;
&lt;P&gt;Kerry&lt;/P&gt;</description>
    <pubDate>Tue, 16 Jan 2024 09:12:20 GMT</pubDate>
    <dc:creator>kerryzhou</dc:creator>
    <dc:date>2024-01-16T09:12:20Z</dc:date>
    <item>
      <title>SLN-TLHMI-IOT</title>
      <link>https://community.nxp.com/t5/Other-NXP-Products/SLN-TLHMI-IOT/m-p/1789048#M20799</link>
      <description>&lt;P&gt;In the example code provided, for the machine learning part, is it does not include the details on how the machine learning algorithm work?&amp;nbsp; how to train the model?&lt;/P&gt;&lt;P&gt;And does&amp;nbsp;SLN-TLHMI-IOT support object detection?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 16 Jan 2024 05:01:26 GMT</pubDate>
      <guid>https://community.nxp.com/t5/Other-NXP-Products/SLN-TLHMI-IOT/m-p/1789048#M20799</guid>
      <dc:creator>Bay</dc:creator>
      <dc:date>2024-01-16T05:01:26Z</dc:date>
    </item>
    <item>
      <title>Re: SLN-TLHMI-IOT</title>
      <link>https://community.nxp.com/t5/Other-NXP-Products/SLN-TLHMI-IOT/m-p/1789314#M20802</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.nxp.com/t5/user/viewprofilepage/user-id/216535"&gt;@Bay&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp; Thanks for your interest in the NXP MIMXRT product, I would like to provide service for you.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&amp;nbsp;&lt;SPAN&gt;&amp;nbsp;SLN-TLHMI-IOT&amp;nbsp;is used for the fact detection, the demo is not support the&amp;nbsp;object detection directly.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp; But if you train your own&amp;nbsp;model for the&amp;nbsp;object detection, then it will support it.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&amp;nbsp; &amp;nbsp;About the model train, I think you can refer to the eiq:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;&lt;A href="https://www.nxp.com/design/design-center/software/eiq-ml-development-environment:EIQ?&amp;amp;tid=vaneiq" target="_blank"&gt;https://www.nxp.com/design/design-center/software/eiq-ml-development-environment:EIQ?&amp;amp;tid=vaneiq&lt;/A&gt;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Wish it helps you!&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Best Regards,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;kerry&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 16 Jan 2024 08:40:44 GMT</pubDate>
      <guid>https://community.nxp.com/t5/Other-NXP-Products/SLN-TLHMI-IOT/m-p/1789314#M20802</guid>
      <dc:creator>kerryzhou</dc:creator>
      <dc:date>2024-01-16T08:40:44Z</dc:date>
    </item>
    <item>
      <title>Re: SLN-TLHMI-IOT</title>
      <link>https://community.nxp.com/t5/Other-NXP-Products/SLN-TLHMI-IOT/m-p/1789355#M20803</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.nxp.com/t5/user/viewprofilepage/user-id/216535"&gt;@Bay&lt;/a&gt;&amp;nbsp;，&lt;/P&gt;
&lt;P&gt;&amp;nbsp; I also help you to check it with our internal expert.&lt;/P&gt;
&lt;P&gt;&amp;nbsp; You can use the pytorch/tensorflow train yourself model, then use the nanoai convert switch to the nanoai module format, the nanoai will generate one .a library, and the project can call the library API as the inference.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Wish it helps you!&lt;/P&gt;
&lt;P&gt;Best Regards,&lt;/P&gt;
&lt;P&gt;Kerry&lt;/P&gt;</description>
      <pubDate>Tue, 16 Jan 2024 09:12:20 GMT</pubDate>
      <guid>https://community.nxp.com/t5/Other-NXP-Products/SLN-TLHMI-IOT/m-p/1789355#M20803</guid>
      <dc:creator>kerryzhou</dc:creator>
      <dc:date>2024-01-16T09:12:20Z</dc:date>
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