{"name": "Aerial LiDAR Classifier", "package_name": "Aerial_LiDAR_Classifier", "description": "Classify airborne, mobile mapping and railway LiDAR point clouds with deep learning (LitePT-L).", "about": "Classifies airborne, mobile mapping and railway LiDAR point clouds\n(LAS / LAZ / COPC) with deep-learning models. Three classifiers:\nAirborne (LitePT-L at 10 cm on NVIDIA GPUs, the UrbanFiltering 3D\nSegFormer from NRCan's TreeAIBox on other computers; standard ASPRS\ncodes), Mobile mapping (LitePT-L at 5 cm: ground, low and high\nvegetation, buildings, pole-like objects, vehicles, fences and\nbarriers, wires) and Railway (LitePT-L at 5 cm: ground and track bed,\nrails, masts and poles, overhead wires, vegetation, fences). Mobile\nmapping and railway class codes are editable; both need an NVIDIA\nCUDA GPU.\nExternal dependencies: PyTorch, laspy, lazrs, timm, scipy and, on\nNVIDIA GPUs, spconv. A one-click setup installs them into a separate\nper-user folder on first use (no admin rights, nothing to\nconfigure), and the model weights download automatically. Files in\nfeet are converted from their CRS; tiling and streaming handle files\nlarger than RAM. Model weights are CC BY-NC 4.0 (railway: CC BY-NC-SA 4.0). Documentation:\nhttps://github.com/akharroubi/AerialLidarClassifier\nThe plugin author teaches a live cohort, LiDAR Point Clouds\nProcessing in QGIS: https://maven.com/geomatics/qgis3d?utm_source=plugins.qgis.org&utm_medium=listing&utm_campaign=qgis3d", "homepage": "https://github.com/akharroubi/AerialLidarClassifier", "repository": "https://github.com/akharroubi/AerialLidarClassifier", "tracker": "https://github.com/akharroubi/AerialLidarClassifier/issues", "author": "Abderrazzaq Kharroubi (GeoScITY Lab, University of Liege)", "tags": ["classification", "point cloud", "lidar", "las", "laz", "asprs", "pytorch", "machine learning", "aerial", "deep learning", "semantic segmentation", "treeaibox", "segformer", "copc", "litept", "point transformer", "mobile mapping", "mls", "mms", "railway", "rail", "catenary"], "downloads": 3275, "latest_version": "1.3.2", "versions": [{"version": "1.3.2", "experimental": false, "qgis_min": "3.34.0", "qgis_max": "4.99.0", "downloads": 14, "uploaded_by": "Kharroubi", "upload_datetime": "2026-10-23T14:12:02.651220"}, {"version": "1.2.3", "experimental": false, "qgis_min": "3.34.0", "qgis_max": "4.99.0", "downloads": 373, "uploaded_by": "Kharroubi", "upload_datetime": "2026-10-21T05:43:39.068084"}, {"version": "1.2.1", "experimental": false, "qgis_min": "3.34.0", "qgis_max": "4.99.0", "downloads": 720, "uploaded_by": "Kharroubi", "upload_datetime": "2026-10-10T15:46:07.081547"}, {"version": "1.2.0", "experimental": false, "qgis_min": "3.34.0", "qgis_max": "4.99.0", "downloads": 392, "uploaded_by": "Kharroubi", "upload_datetime": "2026-10-03T16:19:55.494753"}, {"version": "1.1.2", "experimental": false, "qgis_min": "3.34.0", "qgis_max": "4.99.0", "downloads": 522, "uploaded_by": "Kharroubi", "upload_datetime": "2026-09-27T15:43:44.260344"}, {"version": "1.0.2", "experimental": true, "qgis_min": "3.34.0", "qgis_max": "3.99.0", "downloads": 934, "uploaded_by": "Kharroubi", "upload_datetime": "2026-05-19T09:33:33.089179"}, {"version": "1.0.1", "experimental": true, "qgis_min": "3.34.0", "qgis_max": "3.99.0", "downloads": 153, "uploaded_by": "Kharroubi", "upload_datetime": "2026-05-18T06:18:15.263222"}, {"version": "1.0.0", "experimental": true, "qgis_min": "3.34.0", "qgis_max": "3.99.0", "downloads": 161, "uploaded_by": "Kharroubi", "upload_datetime": "2026-05-12T06:22:12.596750"}]}