216 Open source projects that are alternatives of or similar to Awesome 3d Detectors

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

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

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

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A curated list of awesome links and software libraries that are useful for robots.

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Draco 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.

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

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Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")

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Interactive Jupyter widgets to visualize images, point sets, and meshes in 2D and 3D

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code/webpage for the DeepMapping project

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Pytorch framework for doing deep learning on point clouds.

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Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

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Python binding of 3D visualization library Pangolin

A Python library for common tasks on 3D point clouds

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

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Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Pure Numpy Implementation of the Coherent Point Drift Algorithm

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎

PyTorch Code of our WACV2020 paper: Silhouette Guided Point Cloud Reconstruction beyond Occlusion

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PyTorch Code for "Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning"

Regularized Graph CNN for Point Cloud Segmentation

A port of the Point Cloud Library (PCL) using Java Native Interface (JNI).

Keras implementation for Pointnet

A pointnet++ fork, with focus on semantic segmentation of differents datasets

[CVPR 2021 - Oral] UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

Neural Point-Based Graphics

Learning low-shot object classification with explicit shape bias learned from point clouds

Load 3MX/3MXB format LOD model files generated by Bentley ContextCapture into Unity.

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

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

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

Scripts showcasing filtering techniques applied to point cloud data.

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

CloudCompare main repository

3D LIDAR-based Graph SLAM

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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This is a package for extrinsic calibration between a 3D LiDAR and a camera, described in paper: Improvements to Target-Based 3D LiDAR to Camera Calibration. This package is used for Cassie Blue's 3D LiDAR semantic mapping and automation.

Lightweight and Accurate Point Cloud Clustering

User-friendly, commercial-grade software for processing aerial imagery. 🛩

A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes