PointER
Building dataset
A LiDAR-derived point cloud dataset of one million English buildings linked to energy characteristics
A LiDAR-Derived Point Cloud Dataset of One Million English Buildings Linked to Energy Characteristics
13 stars
2 watching
2 forks
Language: Python
last commit: about 1 year ago
Linked from 1 awesome list
building-energydatasetdeep-learninglidarpoint-cloud
Related projects:
Repository | Description | Stars |
---|---|---|
kdmayer/3d-pv-locator | Automated detection and registration of rooftop-mounted photovoltaic systems in 3D from satellite imagery. | 51 |
kzampog/cilantro | A C++ library for efficient processing and analysis of 3D point cloud data | 1,036 |
virtual-vehicle/pointcloudset | A Python library for analyzing large datasets of 3D point clouds recorded over time in an efficient way. | 44 |
jblindsay/lidar | A Crystal language library for reading and writing LiDAR data in LAS format | 6 |
canqin001/pointdan | Develops a deep learning model for domain adaptation on 3D point cloud data | 130 |
brycefrank/pyfor | A Python package for processing aerial point clouds in the context of forest inventory and analysis. | 92 |
rodolfolotte/gedi | A tutorial project providing guidance on processing and handling LiDAR GIDE datasets using Python. | 4 |
pdal/pdal | A C++ library for working with point cloud data from various sources. | 1,143 |
mprakhar/dsm2dtm | Converts satellite images into digital surface models with building height extraction | 15 |
hobuinc/usgs-lidar | A data processing and visualization project for USGS 3DEP LiDAR point cloud data | 141 |
pglira/point_cloud_tools_for_matlab | A collection of Matlab classes for working with point clouds and aligning multiple 3D point sets using the Iterative Closest Point (ICP) algorithm. | 117 |
nicolas-chaulet/torch-points3d | A PyTorch framework for building and training deep learning models on point clouds. | 219 |
amsterdam-ai-team/urban_pointcloud_processing | Automates classification and labeling of urban 3D point clouds using data fusion and region growing techniques. | 169 |
pdal/java | Java bindings for the Point Cloud Algorithm Library (PDAL) to enable usage on the Java Virtual Machine. | 8 |
idegelis/torch-points3d-siamesekpconv | A deep learning framework for 3D point cloud analysis, specifically for change detection and segmentation tasks. | 31 |