Mask R-CNN Instance Segmentation and Object Detection in ArcGIS Pro
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- Опубликовано: 13 июл 2024
- Data: www.wvview.org/research.html
Paper: www.mdpi.com/2072-4292/12/3/547
GitHub: github.com/maxwell-geospatial...
Example of implementing deep learning instance segmentation with the Mask R-CNN algorithm in ArcGIS Pro to extract topographic features from digital terrain data.
This video was produced by West Virginia View (www.wvview.org/) with support from AmericaView (americaview.org/).
This material is based upon work supported by the U.S. Geological Survey under Grant/Cooperative Agreement No. G18AP00077.
The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey. 
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Hello Aaron,
Thank you for your tutorial, this helped me a lot!
One thing I would like to add: When exporting the training data for deep learning, class names (labels) MUST be different from 0.
For example, if you are using Mask R-CNN to delineate objects and to label different classes (e.g. vegetation, buildings, etc.), start class names at 1, not 0.
Great !!
Hi! This is a very helpful video! For my thesis, I am exploring different deep-learning methods for object detection in Lidar-derived data. Mask R-CNN is one of them. I am trying to export my data (as you did) using the "export data for deep learning tool", somehow I can only export a TIFF file instead of PNG. I am not sure if this matters for the rest of the project but if I try to run the Train deep learning model tool, I get an error that says No module named "torch". I am not sure if I downloaded pytorch correctly. Where do you think the problem lies?
Thank you!
I apologize if this is a novice question but why download LiDAR point clouds to build DEMs if LiDAR-derived DEMs are also available for downloading?