For example, if the trained model used the intensity attribute with a specific range of values, the point cloud must have intensity values in the same range. The input point cloud must have the same attributes with similar ranges of values as the training data used to develop the classification model. Learn more about classifying a point cloud with deep learning. If any of the existing class codes in the input point cloud are classified properly, make sure to exclude those points from being modified by indicating which class codes should be edited or preserved through the Existing Class Code Handling and Existing Class Codes parameters. To set up your machine to use deep learning frameworks in ArcGIS Pro, see Install deep learning frameworks for ArcGIS. This tool uses the PointCNN implementation using deep learning frameworks.
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