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How to write YOLO or U-Net Deep Learning code which is integrated with RasterFrames? #72
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Hi, Are you trying to write a ESRI raster function to utilize RasterFrames to do deep learning? |
Of course! I do need to make deep learning be integrated with RasterFrames. If the "ESRI raster function" can be used to turn that to be true, then it will be better. So, would you pls help to give me some suggestions? |
ESRI raster functions is not necessary to integrate deep learning with RasterFrames. Raster functions is a way for you to integrate that into the ArcGIS environment if you want to utilize ArcGIS's functionalities (I can help on this regard) but it does not really help on your case. I would suggest you to look further into the RasterFrames doc and ask in that community for more help. |
Hi,
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Again, raster function is not necessary for your purpose. You can find examples of ArcGIS API for Python here: https://github.com/Esri/arcgis-python-api/tree/master/samples/04_gis_analysts_data_scientists |
Hi,
I have read the RasterFrames supervised machine learning on the page of "https://rasterframes.io/supervised-learning.html", now I would like to implement Deep Learning similar to “supervised machine learning”, such as "YOLO object detection" and "U-Net semantic segmentation".
However, I am so confused about how to write YOLO or U-Net Deep Learning code which is integrated with RasterFrames? So, would you pls help to give me some suggestions? Many Thanks!
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