Point Cloud UtilsA Python library for common tasks on 3D point clouds
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geometry-dexPyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"
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So NetSO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018
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adventures-with-annAll the code for a series of Medium articles on Approximate Nearest Neighbors
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Easy3dA lightweight, easy-to-use, and efficient C++ library for processing and rendering 3D data
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PycpdPure Numpy Implementation of the Coherent Point Drift Algorithm
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ViPA New 3D Detector. Code Will be made public.
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ItkwidgetsInteractive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D
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LidrR package for airborne LiDAR data manipulation and visualisation for forestry application
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BtcDetBehind the Curtain: Learning Occluded Shapes for 3D Object Detection
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DracoDraco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
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CilantroA lean C++ library for working with point cloud data
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Kinectfusionlib Implementation of the KinectFusion approach in modern C++14 and CUDA
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Interactive slamInteractive Map Correction for 3D Graph SLAM
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Silhouette-Guided-3DPyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion
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Depth clustering🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
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lbvhan implementation of parallel linear BVH (LBVH) on GPU
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pointnet2 semanticA pointnet++ fork, with focus on semantic segmentation of differents datasets
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LopqTraining of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.
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graphgroveA framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
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Super4pcsEfficient Global Point-cloud registration
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ApproxmvbbFast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.
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lowshot-shapebiasLearning low-shot object classification with explicit shape bias learned from point clouds
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Bpyblender python scripts
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PointnetPointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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SmileStatistical Machine Intelligence & Learning Engine
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Ndt ompMulti-threaded and SSE friendly NDT algorithm
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OdmA command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
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PclPoint Cloud Library (PCL)
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3d cnn tensorflowKITTI data processing and 3D CNN for Vehicle Detection
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PynndescentA Python nearest neighbor descent for approximate nearest neighbors
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SplatnetSPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)
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3dmatch Toolbox3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
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3PU pytorchpytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<
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Mlpackmlpack: a scalable C++ machine learning library --
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pc2vidconverts set of point clouds to a video using three.js
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record3d unity demoiPhone X -> Unity VFX Graph demo (real-time Point Cloud streaming)
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Pvcnn[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning
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pcljavaA port of the Point Cloud Library (PCL) using Java Native Interface (JNI).
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Superpoint graphLarge-scale Point Cloud Semantic Segmentation with Superpoint Graphs
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pgvectorOpen-source vector similarity search for Postgres
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Iterative-Closest-PointImplementation of the iterative closest point algorithm. A point cloud is transformed such that it best matches a reference point cloud.
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NgtNearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
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docarrayThe data structure for unstructured data
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PointmvsnetCode for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)
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pointnet2-pytorchA clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.
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Awesome RoboticsA curated list of awesome links and software libraries that are useful for robots.
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Fast gicpA collection of GICP-based fast point cloud registration algorithms
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PcxPoint cloud importer & renderer for Unity
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Lidar camera calibrationROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
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MilvusAn open-source vector database for embedding similarity search and AI applications.
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N2TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets
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ProbregPython package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
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