[ICRA2021] Reconstructing Interactive 3D Scene by Panoptic Mapping and CAD Model Alignment

Overview

Interactive Scene Reconstruction

Project Page | Paper

This repository contains the implementation of our ICRA2021 paper Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments. The proposed pipeline reconstructs an interactive indoor scene from RGBD streams, where objects are replaced by (articulated) CAD models. Represented as a contact graph, the reconstructed scene naturally encodes actionable information in terms of environmental kinematics, and can be imported into various simulators to support robot interactions.

The pipeline consists of 3 modules:

  • A robust panoptic mapping module that accurately reconstruct the semantics and geometry of objects and layouts, which is a modified version of Voxblox++ but with improved robustness. The 2D image segmentation is obtained using [Detectron2] (https://github.com/facebookresearch/detectron2)
  • An object-based reasoning module that constructs a contact graph from the dense panoptic map and replaces objects with aligned CAD models
  • An interface that converts a contact graph into a kinematic tree in the URDF format, which can be imported into ROS-based simulators

Todo

  • Upload code for panoptic mapping
  • Upload submodules for panoptic mapping
  • Upload code for CAD replacement
  • Upload code for URDF conversion and scene visualization
  • Upload dataset and use cases
  • Update instructions

1. Installation

1.1 Prerequisites

  • Ubuntu 16.04 (with ROS Kinetic) or 18.04 (with ROS Melodic)
  • Python >= 3.7
  • gcc & g++ >= 5.4
  • 3 <= OpenCV < 4
  • (Optional) Nvidia GPU (with compatible cuda toolkit and cuDNN) if want to run online segmentation

1.2 Clone the repository & install catkin dependencies

First create and navigate to your catkin workspace

cd <your-working-directory>
mkdir <your-ros-ws>/src && cd <your-ros-ws>

Then, initialize the workspace and configure it. (Remember to replace by your ros version)

catkin init
catkin config --extend /opt/ros/<your-ros-version> --merge-devel 
catkin config --cmake-args -DCMAKE_CXX_STANDARD=14 -DCMAKE_BUILD_TYPE=Release

Download this repository to your ROS workspace src/ folder with submodules via:

cd src
git clone --recursive https://github.com/hmz-15/Interactive-Scene-Reconstruction.git

Then add dependencies specified by .rosinstall using wstool

cd Interactive-Scene-Reconstruction
wstool init dependencies
cd dependencies
wstool merge -t . ../mapping/voxblox-plusplus/voxblox-plusplus_https.rosinstall
wstool merge -t . ../mapping/orb_slam2_ros/orb_slam2_ros_https.rosinstall
wstool update

1.3 Build packages

cd <your-ros-ws>
catkin build orb_slam2_ros perception_ros gsm_node -j2
Owner
Ph.D student in Robotics
[SIGGRAPH 2021 Asia] DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learning

DeepVecFont This is the official Pytorch implementation of the paper: Yizhi Wang and Zhouhui Lian. DeepVecFont: Synthesizing High-quality Vector Fonts

Yizhi Wang 146 Dec 18, 2022
Tensorflow/Keras Plug-N-Play Deep Learning Models Compilation

DeepBay This project was created with the objective of compile Machine Learning Architectures created using Tensorflow or Keras. The architectures mus

Whitman Bohorquez 4 Sep 26, 2022
High-Fidelity Pluralistic Image Completion with Transformers (ICCV 2021)

Image Completion Transformer (ICT) Project Page | Paper (ArXiv) | Pre-trained Models | Supplemental Material This repository is the official pytorch i

Ziyu Wan 243 Jan 03, 2023
Conditional Generative Adversarial Networks (CGAN) for Mobility Data Fusion

This code implements the paper, Kim et al. (2021). Imputing Qualitative Attributes for Trip Chains Extracted from Smart Card Data Using a Conditional Generative Adversarial Network. Transportation Re

Eui-Jin Kim 2 Feb 03, 2022
PyTorch implementation of "A Two-Stage End-to-End System for Speech-in-Noise Hearing Aid Processing"

Implementation of the Sheffield entry for the first Clarity enhancement challenge (CEC1) This repository contains the PyTorch implementation of "A Two

10 Aug 19, 2022
Python-kafka-reset-consumergroup-offset-example - Python Kafka reset consumergroup offset example

Python Kafka reset consumergroup offset example This is a simple example of how

Willi Carlsen 1 Feb 16, 2022
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras. Implementation of various Deep Image Segmentation mo

Divam Gupta 2.6k Jan 05, 2023
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

An Image Captioning codebase This is a codebase for image captioning research. It supports: Self critical training from Self-critical Sequence Trainin

Ruotian(RT) Luo 906 Jan 03, 2023
Pytorch Implementation of Adversarial Deep Network Embedding for Cross-Network Node Classification

Pytorch Implementation of Adversarial Deep Network Embedding for Cross-Network Node Classification (ACDNE) This is a pytorch implementation of the Adv

陈志豪 8 Oct 13, 2022
The Python3 import playground

The Python3 import playground I have been confused about python modules and packages, this text tries to clear the topic up a bit. Sources: https://ch

Michael Moser 5 Feb 22, 2022
DeepLab2: A TensorFlow Library for Deep Labeling

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

Google Research 845 Jan 04, 2023
Second Order Optimization and Curvature Estimation with K-FAC in JAX.

KFAC-JAX - Second Order Optimization with Approximate Curvature in JAX Installation | Quickstart | Documentation | Examples | Citing KFAC-JAX KFAC-JAX

DeepMind 90 Dec 22, 2022
The self-supervised goal reaching benchmark introduced in Discovering and Achieving Goals via World Models

Lexa-Benchmark Codebase for the self-supervised goal reaching benchmark introduced in 'Discovering and Achieving Goals via World Models'. Setup Create

1 Oct 14, 2021
This project uses Template Matching technique for object detecting by detection of template image over base image.

Object Detection Project Using OpenCV This project uses Template Matching technique for object detecting by detection the template image over base ima

Pratham Bhatnagar 7 May 29, 2022
Robocop is your personal mini voice assistant made using Python.

Robocop-VoiceAssistant To use this project, you should have python installed in your system. If you don't have python installed, install it beforehand

Sohil Khanduja 3 Feb 26, 2022
Convert Table data to approximate values with GUI

Table_Editor Convert Table data to approximate values with GUIs... usage - Import methods for extension Tables. Imported method supposed to have only

CLJ 1 Jan 10, 2022
Cupytorch - A small framework mimics PyTorch using CuPy or NumPy

CuPyTorch CuPyTorch是一个小型PyTorch,名字来源于: 不同于已有的几个使用NumPy实现PyTorch的开源项目,本项目通过CuPy支持

Xingkai Yu 23 Aug 17, 2022
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

Meta Self-Learning for Multi-Source Domain Adaptation: A Benchmark Project | Arxiv | YouTube | | Abstract In recent years, deep learning-based methods

CVSM Group - email: <a href=[email protected]"> 188 Dec 12, 2022
Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Non-Metric Space Library (NMSLIB) Important Notes NMSLIB is generic but fast, see the results of ANN benchmarks. A standalone implementation of our fa

2.9k Jan 04, 2023
PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"

HAN PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network" This repository is for HAN introduced in the

五维空间 140 Nov 23, 2022