377 Open source projects that are alternatives of or similar to Spvnas

根据 JSON 自动生成 Model 文件（数据模型）

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

A small Java-based tool for the generation of point cloud visualization datasets according to Cesium 3D Tiles.

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

UrbanNav: an Open-Sourcing Localization Data Collected in Asian Urban Canyons, Including Tokyo and Hong Kong

chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.

The open source mesh processing system

open Multi-View Stereo reconstruction library

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration

A high-performance neural network library for point cloud processing.

Robotics with GPU computing

Keras implementation for Pointnet

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Polylidar3D - Fast polygon extraction from 3D Data

The PyTorch Implementation of F-ConvNet for 3D Object Detection

A list of resources about deep learning solutions on 3D shape processing

Real-time people tracking using a 3D LIDAR

This is the official implementation of RSNet.

Extend python lists with .NET's LINQ syntax for clean and fast coding. Also known as PINQ.

Paperlist of awesome 3D detection methods

A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021

Drivers for receiving LiDAR data and more

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

Python binding of 3D visualization library Pangolin

A Python package for delineating nested surface depressions from digital elevation data.

Intensity-based_Lidar_Camera_Calibration

LiDAR-Inertial 3D Plane Simulator

Full-python LiDAR SLAM using ICP and Scan Context

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

Use LiDAR to map the static world

Deep Hough Voting for 3D Object Detection in Point Clouds

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

The public CGAL repository, see the README below

Sample implementation of an application using KinectFusionLib

Open Source scanning laser rangefinder

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Fast and robust algorithm to extract edges in unorganized point clouds

Frustum PointNets for 3D Object Detection from RGB-D Data

Neural Point-Based Graphics

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

WhiteboxTools Python Frontend

Pytorch framework for doing deep learning on point clouds.

Comprehensive CPU frequency performance/power benchmark

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

[CVPR'19] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds

Tools for analyzing aerial point clouds of forest data.

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

A curated list of awesome data labeling tools

Tool for convert files into Magicavoxel file

PyTorch Implementation of PIXOR

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Grid-GCN for Fast and Scalable Point Cloud Learning

A small VEX raytracer for SideFX Houdini with photon mapping global illumination and full recursive reflections and refractions

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

orb-slam2 with semantic label

code/webpage for the DeepMapping project

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322