fredpeertje

fredpeertje's Stars

• chrise96/3D_Ground_Segmentation

  A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

  Language:C++10414

• chrise96/AR_Audio_Visualizer

  AR Audio visualizer - 3D Music Spectrum Analyzer with Augmented Reality

  Language:Swift7

• chrise96/Weighted-Masks-Fusion

  Weighted Masks Fusion (WMF) - Ensembling for Instance Segmentation.

  Language:Python10

• 3dgeo-heidelberg/py4dgeo

  py4dgeo - A Python library for change analysis in 4D point clouds

  Language:Python7612

• laspy/laspy

  Laspy is a pythonic interface for reading/modifying/creating .LAS LIDAR files matching specification 1.0-1.4.

  Language:Python458121

• Amsterdam-AI-Team/Urban_PointCloud_Processing

  Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.

  Language:Python16628

• KangchengLiu/Feature-Geometric-Net-FG-Net

  :fire: :muscle: FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding

  Language:C++11712

• QingyongHu/RandLA-Net

  🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

  Language:Python1.3k321

• tmontaigu/CloudCompare-PythonRuntime

  Python plugin for CloudCompare

  Language:C++5415

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python83.6k22.5k

• chrise96/3D_building_reconstruction

  MSc Computer Science project. Automatically enhance CityGML LOD2 buildings with facade details, by using a panoramic image sequence and building footprint data. NOTE: Amsterdam Panorama API is currently offline.

  Language:Python5218

• citygml4j/citygml4j

  The Open Source Java API for CityGML

  Language:Java11937