Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
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Updated
Jun 10, 2025 - Python
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
Tree detection from UAV LiDAR point clouds using Local Maxima Filter and RandLA-Net, developed for an Environmental Data Analytics master’s course.
Examples and workflows for Flash LiDAR point cloud processing using MATLAB. This repository demonstrates vehicle detection in Flash LiDAR data through deep learning models for object detection and semantic segmentation in both 2D and 3D. Includes sample code for point cloud operations, training pipelines, and a public dataset available for download
利用RandLA-Net实现室外点云数据语义分割
RandLA-Net based model to perform binary segmentation on 3D surfaces with periodic reliefs
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