Code Monkey home page Code Monkey logo

Shishun Zhang's Projects

3dmatch-toolbox icon 3dmatch-toolbox

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

acg-localizer icon acg-localizer

mirrored from http://www.graphics.rwth-aachen.de/software/image-localization

acmm icon acmm

Multi-Scale Geometric Consistency Guided Multi-View Stereo

depth-vo-feat icon depth-vo-feat

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

dso icon dso

Direct Sparse Odometry

fmaplib icon fmaplib

An implementation of the Functional Map framework for finding correspondences between Meshes, Images or Graphs.

hrl4in icon hrl4in

Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

labelimg icon labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

mastering_ros icon mastering_ros

This repository contains exercise files of the book "Mastering ROS for Robotics Programming"

mxnet-ssd icon mxnet-ssd

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

netvlad icon netvlad

NetVLAD: CNN architecture for weakly supervised place recognition

orb_slam2 icon orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

pl-slam icon pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

pointnet icon pointnet

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

pr-net icon pr-net

Non-Rigid Point Set Registration Networks

prolonets icon prolonets

Public implementation of "Encoding Human Domain Knowledge to Warm Start Reinforcement Learning" from AAAI'21

raps icon raps

[NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives

rgbd-slam-tutor2 icon rgbd-slam-tutor2

The second version of RGBD SLAM tutorial. We will discuss more about pnp, tracking, multi-thread and loop closure methods. Please refer to my blog for details: www.cnblogs.com/gaoxiang12 .

rosdistro icon rosdistro

This repo maintains a lists of repositories for each ROS distribution

sfmlearner icon sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

stable-baselines3 icon stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.