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    <title>i.MX ProcessorsのトピックRe: eiq samples imx8mqevk</title>
    <link>https://community.nxp.com/t5/i-MX-Processors/eiq-samples-imx8mqevk/m-p/1150963#M161505</link>
    <description>&lt;P&gt;hi ,&lt;/P&gt;&lt;P&gt;Can i get pyeiq equivalent for c++ code using tflife as example, can you share the source code link for c++ machine learning applications for imx8mqevk ?&lt;/P&gt;</description>
    <pubDate>Wed, 09 Sep 2020 08:23:32 GMT</pubDate>
    <dc:creator>manizillion</dc:creator>
    <dc:date>2020-09-09T08:23:32Z</dc:date>
    <item>
      <title>eiq samples imx8mqevk</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/eiq-samples-imx8mqevk/m-p/1150349#M161446</link>
      <description>&lt;P&gt;I downloaded the eIQ object recognition CPP sample application source from the following link,&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;A href="https://source.codeaurora.org/external/imxsupport/eiq_sample_apps/tree/examples-opencv/obj_recognition_cpp" target="_blank"&gt;https://source.codeaurora.org/external/imxsupport/eiq_sample_apps/tree/examples-opencv/obj_recognition_cpp&lt;/A&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Compiled the source using the imx8mqevk toolchain and tested the binary on the &lt;STRONG&gt;imx8mqevk&lt;/STRONG&gt;&amp;nbsp;target board it's running on the latest FSL image 5.4 kernel.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;The app was running on the CPU memory only not on the GPU memory so the application response was very slow.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Is it possible to run the same app on the imx8 GPU side for better response time and speed?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Also, share some references for CPP based image processing sources on the GPU side.&lt;/P&gt;</description>
      <pubDate>Tue, 08 Sep 2020 11:54:28 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/eiq-samples-imx8mqevk/m-p/1150349#M161446</guid>
      <dc:creator>manizillion</dc:creator>
      <dc:date>2020-09-08T11:54:28Z</dc:date>
    </item>
    <item>
      <title>Re: eiq samples imx8mqevk</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/eiq-samples-imx8mqevk/m-p/1150384#M161453</link>
      <description>&lt;P&gt;Hello manizillion,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The only instruction that manages the gpu are from OpenCV, and unfortunately the examples working as is. You can add to the GPU adding more instruction for the GPU.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Regards&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 08 Sep 2020 13:18:30 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/eiq-samples-imx8mqevk/m-p/1150384#M161453</guid>
      <dc:creator>Bio_TICFSL</dc:creator>
      <dc:date>2020-09-08T13:18:30Z</dc:date>
    </item>
    <item>
      <title>Re: eiq samples imx8mqevk</title>
      <link>https://community.nxp.com/t5/i-MX-Processors/eiq-samples-imx8mqevk/m-p/1150963#M161505</link>
      <description>&lt;P&gt;hi ,&lt;/P&gt;&lt;P&gt;Can i get pyeiq equivalent for c++ code using tflife as example, can you share the source code link for c++ machine learning applications for imx8mqevk ?&lt;/P&gt;</description>
      <pubDate>Wed, 09 Sep 2020 08:23:32 GMT</pubDate>
      <guid>https://community.nxp.com/t5/i-MX-Processors/eiq-samples-imx8mqevk/m-p/1150963#M161505</guid>
      <dc:creator>manizillion</dc:creator>
      <dc:date>2020-09-09T08:23:32Z</dc:date>
    </item>
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