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intel-isl/Open3D

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13,695 स्टार्स·2,579 फोर्क्स·C++·3 व्यूज़www.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.
  • Point Cloud प्रोसेसिंग - Modern library for 3D data processing and visualization.
  • Processing Libraries - Library for 3D data processing, visualization, and algorithm development.

स्टार हिस्ट्री

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Open3D के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Open3D के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।
  • pointcloudlibrary/pclPointCloudLibrary का अवतार

    PointCloudLibrary/pcl

    11,028GitHub पर देखें↗

    The Point Cloud Library is a collection of C++ algorithms designed for filtering, registering, and analyzing large-scale 3D spatial datasets. It provides a framework for 3D point cloud processing, incorporating tools for spatial data filtering and geometric feature estimation. The library includes specialized systems for aligning multiple spatial datasets into a single unified coordinate system and a rendering engine for the visual inspection and analysis of processed point cloud data. It also features tools for calculating spatial descriptors to identify structural patterns and shapes within

    C++c-plus-pluscomputer-visioncpp
    GitHub पर देखें↗11,028
  • google/dracogoogle का अवतार

    google/draco

    7,357GitHub पर देखें↗

    Draco is a library and toolset for compressing, transcoding, and decoding 3D geometric meshes and point cloud data. Its primary purpose is to reduce storage size and transmission bandwidth for 3D assets. The project includes a geometry optimizer specifically for glTF file containers to reduce asset footprints. It also features a hardened decoder designed to process malformed or untrusted 3D geometric data safely to prevent memory corruption and crashes. The software covers a broad range of 3D data processing capabilities, including geometric data reconstruction, point attribute management, a

    C++
    GitHub पर देखें↗7,357
  • facebookresearch/pytorch3dfacebookresearch का अवतार

    facebookresearch/pytorch3d

    9,902GitHub पर देखें↗

    PyTorch3D is a 3D geometric deep learning library and mesh processing toolkit designed for learning from point clouds and complex 3D surface geometries. It provides a collection of reusable components and data structures for deep learning with 3D data, including a framework for training and evaluating neural radiance fields to enable photorealistic view synthesis. The project features a differentiable 3D renderer that converts meshes and point clouds into 2D images while allowing gradients to flow back into the geometry and textures. This enables 3D shape optimization, where mesh geometry, te

    Python
    GitHub पर देखें↗9,902
  • open-mmlab/openpcdetopen-mmlab का अवतार

    open-mmlab/OpenPCDet

    5,621GitHub पर देखें↗

    OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud processing framework designed to develop, train, and evaluate machine learning models that identify and locate objects in three dimensional space. The project includes a GPU-accelerated geometry engine for high-performance implementation of 3D intersection over union and rotated non-maximum suppression. It also provides a distributed model training tool to scale the training and testing of detection models across multiple GPUs and computing nodes. The framework covers point c

    Python
    GitHub पर देखें↗5,621
Open3D के सभी 30 विकल्प देखें→

अक्सर पूछे जाने वाले प्रश्न

intel-isl/open3d क्या करता है?

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.

intel-isl/open3d की मुख्य विशेषताएं क्या हैं?

intel-isl/open3d की मुख्य विशेषताएं हैं: 3D Data Processing Libraries, 3D Machine Learning, Scene Reconstruction, 3D Engines, Spatial Analysis Viewers, Analytical Rendering, 3D Machine Learning Libraries, 3D Detection and Segmentation।

intel-isl/open3d के कुछ ओपन-सोर्स विकल्प क्या हैं?

intel-isl/open3d के ओपन-सोर्स विकल्पों में शामिल हैं: 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.