https://community.esri.com/t5/imagery-and-remote-sensing-questions/classify-pixels-using-deep-learning-outputs-32-bit/m-p/1401850#M88 <P>Hi&nbsp;<a href="https://community.esri.com/t5/user/viewprofilepage/user-id/583126">@Nika</a>, the output of Classify Pixels Using Deep Learning tool is always generated as 32 bit depth. In the screenshot I can see you have used a model argument bit_depth = 8, bit depth is not a valid argument and the tool doesn't supports this model argument. Can you try running the tool again without bit_depth model argument?</P> Thu, 28 Mar 2024 09:38:15 GMT ShivaniPathak 2024-03-28T09:38:15Z https://community.esri.com/t5/imagery-and-remote-sensing-questions/classify-pixels-using-deep-learning-outputs-32-bit/m-p/1390057#M87 <P>Hi</P><P>I'm trying to extract land parcel boundaries using HED edge detection model. Input raster is 8 bit RGB drone ortho imagery in tiff format. I have exported training data&nbsp;and trained model&nbsp;&nbsp;successfully, but when trying to classify pixels using deep learning, tool generates 32 bit blank raster. Anyone with similar experience, or any suggestions what may be a problem?&nbsp;</P><P>Thank you in advance!</P><P><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="model parameters" style="width: 627px;"><img src="https://community.esri.com/t5/image/serverpage/image-id/96644iE4D269F18D08E89F/image-size/large?v=v2&amp;px=999" role="button" title="Screenshot 2024-03-03 233743.png" alt="Screenshot 2024-03-03 233743.png" /></span><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="emd file" style="width: 609px;"><img src="https://community.esri.com/t5/image/serverpage/image-id/96643i1481CE9D60C1934D/image-size/large?v=v2&amp;px=999" role="button" title="Screenshot 2024-03-03 233901.png" alt="Screenshot 2024-03-03 233901.png" /></span><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="emd file cont.." style="width: 528px;"><img src="https://community.esri.com/t5/image/serverpage/image-id/96645iF1148AA8007DB62D/image-size/large?v=v2&amp;px=999" role="button" title="Screenshot 2024-03-03 233928.png" alt="Screenshot 2024-03-03 233928.png" /></span><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="classify pixels tool parameters" style="width: 367px;"><img src="https://community.esri.com/t5/image/serverpage/image-id/96642i279DA7BEF4A26325/image-size/large?v=v2&amp;px=999" role="button" title="Screenshot 2024-03-03 234155.png" alt="Screenshot 2024-03-03 234155.png" /></span><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="classify pixels tool environments" style="width: 365px;"><img src="https://community.esri.com/t5/image/serverpage/image-id/96646iB73CC0B208E5DA3B/image-size/large?v=v2&amp;px=999" role="button" title="Screenshot 2024-03-03 234216.png" alt="Screenshot 2024-03-03 234216.png" /></span><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="input raster parameters" style="width: 847px;"><img src="https://community.esri.com/t5/image/serverpage/image-id/96648iA8B0266E4A9544FA/image-size/large?v=v2&amp;px=999" role="button" title="Screenshot 2024-03-03 234255.png" alt="Screenshot 2024-03-03 234255.png" /></span><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="output raster attribute table" style="width: 999px;"><img src="https://community.esri.com/t5/image/serverpage/image-id/96647iE5CE422844F56D17/image-size/large?v=v2&amp;px=999" role="button" title="Screenshot 2024-03-03 234405.png" alt="Screenshot 2024-03-03 234405.png" /></span><span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="output raster parameters" style="width: 795px;"><img src="https://community.esri.com/t5/image/serverpage/image-id/96649iA33BB06ED1E71D03/image-size/large?v=v2&amp;px=999" role="button" title="Screenshot 2024-03-03 234439.png" alt="Screenshot 2024-03-03 234439.png" /></span></P> Sun, 03 Mar 2024 19:53:18 GMT https://community.esri.com/t5/imagery-and-remote-sensing-questions/classify-pixels-using-deep-learning-outputs-32-bit/m-p/1390057#M87 Nika 2024-03-03T19:53:18Z https://community.esri.com/t5/imagery-and-remote-sensing-questions/classify-pixels-using-deep-learning-outputs-32-bit/m-p/1401850#M88 <P>Hi&nbsp;<a href="https://community.esri.com/t5/user/viewprofilepage/user-id/583126">@Nika</a>, the output of Classify Pixels Using Deep Learning tool is always generated as 32 bit depth. In the screenshot I can see you have used a model argument bit_depth = 8, bit depth is not a valid argument and the tool doesn't supports this model argument. Can you try running the tool again without bit_depth model argument?</P> Thu, 28 Mar 2024 09:38:15 GMT https://community.esri.com/t5/imagery-and-remote-sensing-questions/classify-pixels-using-deep-learning-outputs-32-bit/m-p/1401850#M88 ShivaniPathak 2024-03-28T09:38:15Z