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Smoothing-based SLAM for 2D LiDAR data in g2o format.
This is a matlab-code implementation of convolutional neural network
Collaborative visual SLAM pipeline as used in Collaborative Visual SLAM using Compressed Feature Exchange (RAL 2018).
Closed-form Preintegration for Graph-based Visual-Inertial Navigation
MSc Project repo for computer vision star identification and satellite orientation project.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
data driven SLAM implementation (GPU)
[3DV 2021] DSP-SLAM: Object Oriented SLAM with Deep Shape Priors
DynaSLAM is a SLAM system robust in dynamic environments for monocular, stereo and RGB-D setups
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
SLAM using a monocular camera, optionally an IMU, and GPS
Explicit Shape Encoding for Real-time Instance Segmentation
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
This repo explains how to train an Object Detector for multiple objects using Tensorflow Object Detection API on Ubuntu 16.04 (GPU)
matlab code for imu preintegration on manifold
Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.
solution
Keras implementation of Deeplab v3+ with pretrained weights
Low Dimensional Simultaneous Localisation and Mapping (L-SLAM)
Long-Term Object Visual SLAM built on ORB-SLAM2 and YOLOv5
ORB-LINE-SLAM: An Open-Source Stereo Visual SLAM System with Point and Line Features
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
A RGB-D SLAM system for structural scenes, which makes use of point-line-plane features and the Manhattan World assumption.
Python implementations of state estimation and SLAM algorithms in Probabilistic Robotics.
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
Python sample codes for robotics algorithms.
RTAB-Map library and standalone application
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
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.