liuxinren456852 Goto Github PK
Type: User
Type: User
Official implementation for Deep-Hough-Transform-Line-Priors (ECCV 2020)
A collection of deep learning based localization models
Source code to run the algorithms presented in the paper titled "Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification"
DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection
Code for the paper "DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares"
[CVPR 2020 Oral] A differentiable framework for 3D registration
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021
Deep Lidar Inertial Odometry
[CVPR2023] DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
A Pytorch implementation of DeepCrack and RoadNet projects.
This is a PyTorch implementation of the ECCV2020 paper "DeepSFM: Structure From Motion Via Deep Bundle Adjustment".
PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
Non-rigid Point Cloud Registration with Neural Deformation Pyramid
Depth Enhanced Monocular Odometry (camera and lidar version)
DetectWindows from point clouds of buildings
Direct Graphical Models (DGM) C++ library, a simple-to-use Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks [SGP 2021]
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
Official PyTorch Implementation of "diffConv: Analyzing Irregular Point Clouds with an Irregular View" (ECCV 2022)
A collection of digital forestry tools for Matlab/Octave
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
A las viewer for geospatial LiDAR data
Distributed and Parallel Computing Framework with / for Python
a large-scale building facade point clouds
A Robust and Effective LiDAR-SLAM System with Learning-based Denoising and Loop Closure
deep lidar odometry
A direct least-squares solver for PnP
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.