306 Open source projects that are alternatives of or similar to Approxmvbb

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

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

Modern React app for bounding box annotation on mturk

BoxDetect is a Python package based on OpenCV which allows you to easily detect rectangular shapes like character or checkbox boxes on scanned forms.

iPhone X -> Unity VFX Graph demo (real-time Point Cloud streaming)

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

KITTI data processing and 3D CNN for Vehicle Detection

No description or website provided.

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

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

converts set of point clouds to a video using three.js

Augmentation package for 3d data based on albumentaitons

A Python library for common tasks on 3D point clouds

Algorithm that converts point cloud data into an occupancy grid

A Jupyter widget for annotating images with bounding boxes

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

Object-oriented pure Python B-Spline and NURBS library

A minimal executable for displaying sway status per second

Implementation of the iterative closest point algorithm. A point cloud is transformed such that it best matches a reference point cloud.

[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.

SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)

BTRFS Volume plugin for Docker

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

Single shape Deep Point Cloud Consolidation [TOG 2021]

An experimental voxel engine.

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

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

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

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

Everything that I code more than twice during my PhD will end up here.

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

Point Cloud Compression used in i3s Scene Layer Format

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

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

Volume² - advanced Windows volume control.

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

A New 3D Detector. Code Will be made public.

Extension of RealSense Unity Wrapper [Unofficial]

🐋 Docker Cheat Sheet 🐋

Pytorch framework for doing deep learning on point clouds.

Detect the tables in a form and extract the tables as well as the cells of the tables.

This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.

Implementation of the KinectFusion approach in modern C++14 and CUDA

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.

Rust algorithms for isosurface extraction

Multi-threaded and SSE friendly NDT algorithm

Lane and obstacle detection for active assistance during driving. Uses windowed sweep for lane detection. Combination of object tracking and YOLO for obstacles. Determines lane change, relative velocity and time to collision

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Code for "CMRNet: Camera to LiDAR-Map Registration" (ITSC 2019) - WIP

Pure Numpy Implementation of the Coherent Point Drift Algorithm

Las Vegas Reconstruction 2.0

R package for airborne LiDAR data manipulation and visualisation for forestry application

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Autoencoder for Point Clouds

pytorch implementation of >>Patch-base progressive 3D Point Set Upsampling<<

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