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intel-isl/Open3D

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13,695 stars·2,579 forks·C++·7 vueswww.open3d.org↗

Open3D

Open3D is a 3D data processing library, visualization engine, and machine learning library. It provides a framework for manipulating point clouds and meshes through specialized algorithms designed for 3D data science workflows.

The project includes a toolkit for 3D scene reconstruction to generate spatial models and align surfaces from raw data. It also functions as a GPU accelerated framework that offloads intensive spatial computations to the graphics processor to increase processing speed.

The library covers a broad range of capabilities including physically based light simulations for visual analysis, segmentation and feature extraction via deep learning frameworks, and the generation of coherent 3D representations of environments.

Features

  • 3D Data Processing Libraries - Provides a comprehensive toolkit for manipulating, aligning, and reconstructing 3D point clouds and meshes.
  • 3D Machine Learning - Implements segmentation and feature extraction on spatial data using deep learning frameworks.
  • Scene Reconstruction - Implements techniques for generating 3D meshes and surfaces from images or point clouds to reconstruct environments.
  • 3D Engines - Functions as a rendering engine for visualizing 3D models using physically based light simulations.
  • Spatial Analysis Viewers - Ships dedicated viewers and light simulations for performing detailed spatial analysis of 3D data.
  • Analytical Rendering - Uses physically based light simulations to render models for visual analysis and spatial inspection.
  • 3D Machine Learning Libraries - Provides a library for performing segmentation and feature extraction on spatial data via deep learning.
  • 3D Detection and Segmentation - Provides algorithms for identifying and segmenting objects within 3D point clouds and scenes using deep learning.
  • GPU Acceleration - Offloads compute-intensive 3D spatial operations to the GPU to increase processing speed.
  • Traitement de nuages de points - Modern library for 3D data processing and visualization.
  • Processing Libraries - Library for 3D data processing, visualization, and algorithm development.

Historique des stars

Graphique de l'historique des stars pour intel-isl/open3dGraphique de l'historique des stars pour intel-isl/open3d

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Voir les 30 alternatives à Open3D→

Questions fréquentes

Que fait intel-isl/open3d ?

Open3D is a 3D data processing library, visualization engine, and machine learning library. It provides a framework for manipulating point clouds and meshes through specialized algorithms designed for 3D data science workflows.

Quelles sont les fonctionnalités principales de intel-isl/open3d ?

Les fonctionnalités principales de intel-isl/open3d sont : 3D Data Processing Libraries, 3D Machine Learning, Scene Reconstruction, 3D Engines, Spatial Analysis Viewers, Analytical Rendering, 3D Machine Learning Libraries, 3D Detection and Segmentation.

Quelles sont les alternatives open-source à intel-isl/open3d ?

Les alternatives open-source à intel-isl/open3d incluent : pointcloudlibrary/pcl — The Point Cloud Library is a collection of C++ algorithms designed for filtering, registering, and analyzing… google/draco — Draco is a library and toolset for compressing, transcoding, and decoding 3D geometric meshes and point cloud data.… facebookresearch/pytorch3d — PyTorch3D is a 3D geometric deep learning library and mesh processing toolkit designed for learning from point clouds… poodarchu/det3d — World's first general purpose 3D object detection codebse. open-mmlab/openpcdet — OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud… lastools/lastools — efficient tools for LiDAR processing.