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    <title>topic Re: Machine learning on imx6ull in eIQ Machine Learning Software</title>
    <link>https://community.nxp.com/t5/eIQ-Machine-Learning-Software/Machine-learning-on-imx6ull/m-p/983348#M42</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;AFAIK, eiQ does not support i.MX6 SoC's yet.&lt;/P&gt;&lt;P&gt;However, I recently posted an article about using TensorFlow on i.MX6 SoC's:&lt;/P&gt;&lt;P&gt;&lt;A class="link-titled" href="https://wiki.dave.eu/index.php/SBCX-TN-005:_Using_TensorFlow_to_implement_a_Deep_Learning_image_classifier_based_on_Azure_Custom_Vision-generated_model" title="https://wiki.dave.eu/index.php/SBCX-TN-005:_Using_TensorFlow_to_implement_a_Deep_Learning_image_classifier_based_on_Azure_Custom_Vision-generated_model"&gt;SBCX-TN-005: Using TensorFlow to implement a Deep Learning image classifier based on Azure Custom Vision-generated model…&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Maybe it is useful for you to run TensorFlow Lite on the i.MX6ULL as well.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 27 Jan 2020 16:17:32 GMT</pubDate>
    <dc:creator>andreamarson</dc:creator>
    <dc:date>2020-01-27T16:17:32Z</dc:date>
    <item>
      <title>Machine learning on imx6ull</title>
      <link>https://community.nxp.com/t5/eIQ-Machine-Learning-Software/Machine-learning-on-imx6ull/m-p/983347#M41</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi NXP team,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I want to run TensorFlow trained model on imx6ull based custom board for the anomaly detection. I have gone through the NXP website and found there is one "eIQ machine learning software" provided by the NXP, but this software is released for i.mx8 series, Could please suggest me the way to use the same software in imx6x series.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;My system configuration as below&lt;/P&gt;&lt;P&gt;Yocto version: 2.2 Morty&lt;/P&gt;&lt;P&gt;Processor: i.MX6ull&lt;/P&gt;&lt;P&gt;RAM: 256 MB&lt;/P&gt;&lt;P&gt;eMMC: 4GB&lt;/P&gt;&lt;P&gt;Is there any other meta-layer available for Yocto Morty with i.mx6ull?&lt;/P&gt;&lt;P&gt;Is GPU is mandatory to run TensorFlow trained model on edge device?&lt;/P&gt;&lt;P&gt;Can I use i.mx6ull custom board for AI/ML related development or use another platform?&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 21 Jan 2020 14:03:43 GMT</pubDate>
      <guid>https://community.nxp.com/t5/eIQ-Machine-Learning-Software/Machine-learning-on-imx6ull/m-p/983347#M41</guid>
      <dc:creator>prabhunath_gupt</dc:creator>
      <dc:date>2020-01-21T14:03:43Z</dc:date>
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    <item>
      <title>Re: Machine learning on imx6ull</title>
      <link>https://community.nxp.com/t5/eIQ-Machine-Learning-Software/Machine-learning-on-imx6ull/m-p/983348#M42</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;AFAIK, eiQ does not support i.MX6 SoC's yet.&lt;/P&gt;&lt;P&gt;However, I recently posted an article about using TensorFlow on i.MX6 SoC's:&lt;/P&gt;&lt;P&gt;&lt;A class="link-titled" href="https://wiki.dave.eu/index.php/SBCX-TN-005:_Using_TensorFlow_to_implement_a_Deep_Learning_image_classifier_based_on_Azure_Custom_Vision-generated_model" title="https://wiki.dave.eu/index.php/SBCX-TN-005:_Using_TensorFlow_to_implement_a_Deep_Learning_image_classifier_based_on_Azure_Custom_Vision-generated_model"&gt;SBCX-TN-005: Using TensorFlow to implement a Deep Learning image classifier based on Azure Custom Vision-generated model…&lt;/A&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Maybe it is useful for you to run TensorFlow Lite on the i.MX6ULL as well.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 27 Jan 2020 16:17:32 GMT</pubDate>
      <guid>https://community.nxp.com/t5/eIQ-Machine-Learning-Software/Machine-learning-on-imx6ull/m-p/983348#M42</guid>
      <dc:creator>andreamarson</dc:creator>
      <dc:date>2020-01-27T16:17:32Z</dc:date>
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