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    <title>topic Adapte ArcGIS deep learing &amp;quot;Solar Photovoltaic Park Classification - Global&amp;quot; for RBG images (3bands) in Deep Learning Studio Questions</title>
    <link>https://community.esri.com/t5/deep-learning-studio-questions/adapte-arcgis-deep-learing-quot-solar-photovoltaic/m-p/1479187#M34</link>
    <description>&lt;P&gt;Hello everyone,&lt;/P&gt;&lt;P&gt;&lt;a href="https://community.esri.com/t5/user/viewprofilepage/user-id/61975"&gt;@RamiAlouta&lt;/a&gt;&amp;nbsp;&lt;a href="https://community.esri.com/t5/user/viewprofilepage/user-id/18536"&gt;@KateHess&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;I am currently working on the ArcGIS deep learning model titled "Solar Photovoltaic Park Classification - Global", and I am encountering an issue that I can't seem to resolve.&lt;/P&gt;&lt;P&gt;My images are in RGB format with 3 bands, but the model appears to have been trained on multispectral images with 12 bands. This results in size mismatch errors when I try to load the model weights.&lt;/P&gt;&lt;P&gt;Here is the exact error message I am receiving:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;size mismatch for layers.0.0.weight: copying a param with shape torch.Size([64, 12, 7, 7]) from checkpoint, the shape in current model is torch.Size([64, 3, 7, 7]).&lt;/P&gt;&lt;P&gt;Could anyone assist me in adjusting the model to work correctly with RGB images with 3 bands? Any suggestions or experiences with this type of issue would be greatly appreciated.&lt;/P&gt;&lt;P&gt;Thank you very much for your help!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;</description>
    <pubDate>Mon, 27 May 2024 21:21:58 GMT</pubDate>
    <dc:creator>mazzouzi</dc:creator>
    <dc:date>2024-05-27T21:21:58Z</dc:date>
    <item>
      <title>Adapte ArcGIS deep learing "Solar Photovoltaic Park Classification - Global" for RBG images (3bands)</title>
      <link>https://community.esri.com/t5/deep-learning-studio-questions/adapte-arcgis-deep-learing-quot-solar-photovoltaic/m-p/1479187#M34</link>
      <description>&lt;P&gt;Hello everyone,&lt;/P&gt;&lt;P&gt;&lt;a href="https://community.esri.com/t5/user/viewprofilepage/user-id/61975"&gt;@RamiAlouta&lt;/a&gt;&amp;nbsp;&lt;a href="https://community.esri.com/t5/user/viewprofilepage/user-id/18536"&gt;@KateHess&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;I am currently working on the ArcGIS deep learning model titled "Solar Photovoltaic Park Classification - Global", and I am encountering an issue that I can't seem to resolve.&lt;/P&gt;&lt;P&gt;My images are in RGB format with 3 bands, but the model appears to have been trained on multispectral images with 12 bands. This results in size mismatch errors when I try to load the model weights.&lt;/P&gt;&lt;P&gt;Here is the exact error message I am receiving:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;size mismatch for layers.0.0.weight: copying a param with shape torch.Size([64, 12, 7, 7]) from checkpoint, the shape in current model is torch.Size([64, 3, 7, 7]).&lt;/P&gt;&lt;P&gt;Could anyone assist me in adjusting the model to work correctly with RGB images with 3 bands? Any suggestions or experiences with this type of issue would be greatly appreciated.&lt;/P&gt;&lt;P&gt;Thank you very much for your help!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards,&lt;/P&gt;</description>
      <pubDate>Mon, 27 May 2024 21:21:58 GMT</pubDate>
      <guid>https://community.esri.com/t5/deep-learning-studio-questions/adapte-arcgis-deep-learing-quot-solar-photovoltaic/m-p/1479187#M34</guid>
      <dc:creator>mazzouzi</dc:creator>
      <dc:date>2024-05-27T21:21:58Z</dc:date>
    </item>
    <item>
      <title>Re: Adapte ArcGIS deep learing "Solar Photovoltaic Park Classification - Global" for RBG images (3bands)</title>
      <link>https://community.esri.com/t5/deep-learning-studio-questions/adapte-arcgis-deep-learing-quot-solar-photovoltaic/m-p/1479363#M35</link>
      <description>&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;Can you confirm if you have used the Sentinel- 2 &lt;SPAN&gt;&amp;nbsp;L2A imagery -&amp;nbsp;&lt;/SPAN&gt;BOA Reflectance as shown in the below image? In case you have used your own composite, try again with BOA Reflectance - the model should work.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="screenshot.png" style="width: 330px;"&gt;&lt;img src="https://community.esri.com/t5/image/serverpage/image-id/105481i4E5C2C910C8FFA49/image-size/large?v=v2&amp;amp;px=999" role="button" title="screenshot.png" alt="screenshot.png" /&gt;&lt;span class="lia-inline-image-caption" onclick="event.preventDefault();"&gt;screenshot.png&lt;/span&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 28 May 2024 08:40:58 GMT</pubDate>
      <guid>https://community.esri.com/t5/deep-learning-studio-questions/adapte-arcgis-deep-learing-quot-solar-photovoltaic/m-p/1479363#M35</guid>
      <dc:creator>S6</dc:creator>
      <dc:date>2024-05-28T08:40:58Z</dc:date>
    </item>
    <item>
      <title>Re: Adapte ArcGIS deep learing "Solar Photovoltaic Park Classification - Global" for RBG images (3bands)</title>
      <link>https://community.esri.com/t5/deep-learning-studio-questions/adapte-arcgis-deep-learing-quot-solar-photovoltaic/m-p/1479982#M37</link>
      <description>&lt;P&gt;Hello&amp;nbsp;&lt;a href="https://community.esri.com/t5/user/viewprofilepage/user-id/414692"&gt;@S6&lt;/a&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you for your reply. My aim is to use the ESRI model on orthophoto images in RBG 3 bands, not the sentinel images.&lt;/P&gt;&lt;P&gt;I don't know if this is possible&lt;/P&gt;</description>
      <pubDate>Wed, 29 May 2024 07:25:24 GMT</pubDate>
      <guid>https://community.esri.com/t5/deep-learning-studio-questions/adapte-arcgis-deep-learing-quot-solar-photovoltaic/m-p/1479982#M37</guid>
      <dc:creator>mazzouzi</dc:creator>
      <dc:date>2024-05-29T07:25:24Z</dc:date>
    </item>
    <item>
      <title>Re: Adapte ArcGIS deep learing "Solar Photovoltaic Park Classification - Global" for RBG images (3bands)</title>
      <link>https://community.esri.com/t5/deep-learning-studio-questions/adapte-arcgis-deep-learing-quot-solar-photovoltaic/m-p/1480013#M38</link>
      <description>Hi,&lt;BR /&gt;This model is trained only to work on Sentinel2.&lt;BR /&gt;</description>
      <pubDate>Wed, 29 May 2024 08:21:23 GMT</pubDate>
      <guid>https://community.esri.com/t5/deep-learning-studio-questions/adapte-arcgis-deep-learing-quot-solar-photovoltaic/m-p/1480013#M38</guid>
      <dc:creator>S6</dc:creator>
      <dc:date>2024-05-29T08:21:23Z</dc:date>
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