Instructions

This tool utilizes deep learning capabilities to classify point clouds in power scenarios based on a power scene classification model. After successful classification, class labels are recorded in the classification attribute field of the resulting LAS file named with the original filename plus "_cls". A new file named original filename plus "_cls_semanticInfo.json" is created in the same directory to record classification results such as class names, corresponding class labels, and point counts. For example: Ground (2), HighVegetation (5), Wire_Conductor (14), TransmissionTower (15), HighNoise (18).

Before using this tool, you need to obtain the resource extension package and configure the relevant environment. For specific operations, refer to the 3D AI function configuration environment document.

Parameter description

Output results