Implementation of paper "DeepTag: A General Framework for Fiducial Marker Design and Detection"

Overview

Implementation of paper DeepTag: A General Framework for Fiducial Marker Design and Detection.

Project page: https://herohuyongtao.github.io/research/publications/deep-tag/.

Overview

DeepTag is a general framework for fiducial marker design and detection, which supports existing and newly-designed marker families. DeepTag is a two-stage marker detection pipeline:

  • Stage-1: detect ROIs of potential markers;
  • Stage-2: detect keypoints and digital symbols inside each ROI, then determine 6-DoF pose and marker ID.

pipeline

How to run

  • For image input:
    python test_deeptag.py --config config_image.json
    
  • For video input:
    python test_deeptag.py --config config_video.json
    

The configuration file is in JSON format. Please modify the configurations to fit your needs. Example configurations files for image and video input are provided (i.e., config_image.json and config_video.json).

Detail explaination of configuration file:

  • is_video: {0, 1} for image/video respectively.
  • filepath: path of input image/video (use 0 for webcam input).
  • family: marker family, currently support {apriltag, aruco, artoolkitplus, runetag, topotag, apriltagxo}.
  • hamming_dist: Hamming dist for checking the marker library; normally, 4 works well enough.
  • codebook: path of codebook; if it is empty, the default path codebook/FAMILY_codebook.txt will be used. For markers with multiple codebooks like AprilTag and ArUco, their default codebooks are for AprilTag (36h11) and ArUco (36h12) respectively.
  • cameraMatrix: camera intrinsic matrix, [fx, 0, cx, 0, fy, cy, 0, 0, 1].
  • distCoeffs: camera distortion coefficients (both radial and tangential), [k1, k2, p1, p2, k3, k4, k5, k6].
  • marker_size: physical size of the marker.

Besides supporting existing markers like AprilTag, ArUco, ARToolkitPlus, TopoTag & RuneTag, DeepTag also supports newly-designed markers like AprilTag-XO, AprilTag-XA and RuneTag+ (provided in folders images_tag). Set family to apriltagxo in config for AprilTag-XO and AprilTag-XA, and runetag for RuneTag+ respectively.

Terms of use

The source code is provided for research purposes only. Any commercial use is prohibited. When using the code in your research work, please cite the following paper:

"DeepTag: A General Framework for Fiducial Marker Design and Detection."
Zhuming Zhang, Yongtao Hu, Guoxing Yu, and Jingwen Dai
arXiv:2105.13731 (2021).

@article{zhang2021deeptag,
  title={{DeepTag: A General Framework for Fiducial Marker Design and Detection}},
  author={Zhang, Zhuming and Hu, Yongtao and Yu, Guoxing and Dai, Jingwen},
  year={2021},
  eprint={2105.13731},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}

Contact

If you find any bug or have any question about the code, please report to the Issues page.

Owner
Yongtao Hu
Yongtao Hu
MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks

MetaBalance: Improving Multi-Task Recommendations via Adapting Gradient Magnitudes of Auxiliary Tasks Introduction This repo contains the pytorch impl

Meta Research 38 Oct 10, 2022
Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

Dense Passage Retrieval Dense Passage Retrieval (DPR) - is a set of tools and models for state-of-the-art open-domain Q&A research. It is based on the

Meta Research 1.1k Jan 03, 2023
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval (NeurIPS'21)

Baleen Baleen is a state-of-the-art model for multi-hop reasoning, enabling scalable multi-hop search over massive collections for knowledge-intensive

Stanford Future Data Systems 22 Dec 05, 2022
GNEE - GAT Neural Event Embeddings

GNEE - GAT Neural Event Embeddings This repository contains source code for the GNEE (GAT Neural Event Embeddings) method introduced in the paper: "Se

João Pedro Rodrigues Mattos 0 Sep 15, 2021
Invariant Causal Prediction for Block MDPs

MISA Abstract Generalization across environments is critical to the successful application of reinforcement learning algorithms to real-world challeng

Meta Research 41 Sep 17, 2022
N-RPG - Novel role playing game da turfu

N-RPG Ce README sera la page de garde du projet. Contenu Il contiendra la présen

4 Mar 15, 2022
✨✨✨An awesome open source toolbox for stereo matching.

OpenStereo This is an awesome open source toolbox for stereo matching. Supported Methods: BM SGM(T-PAMI'07) GCNet(ICCV'17) PSMNet(CVPR'18) StereoNet(E

Wang Qingyu 6 Nov 04, 2022
GrabGpu_py: a scripts for grab gpu when gpu is free

GrabGpu_py a scripts for grab gpu when gpu is free. WaitCondition: gpu_memory

tianyuluan 3 Jun 18, 2022
This is a repository with the code for the ACL 2019 paper

The Story of Heads This is the official repo for the following papers: (ACL 2019) Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy

231 Nov 15, 2022
A GridMixup augmentation, inspired by GridMask and CutMix

GridMixup A GridMixup augmentation, inspired by GridMask and CutMix Easy install pip install git+https://github.com/IlyaDobrynin/GridMixup.git Overvie

IlyaDo 42 Dec 28, 2022
SAMO: Streaming Architecture Mapping Optimisation

SAMO: Streaming Architecture Mapping Optimiser The SAMO framework provides a method of optimising the mapping of a Convolutional Neural Network model

Alexander Montgomerie-Corcoran 20 Dec 10, 2022
Open AI's Python library

OpenAI Python Library The OpenAI Python library provides convenient access to the OpenAI API from applications written in the Python language. It incl

Pavan Ananth Sharma 3 Jul 10, 2022
BOVText: A Large-Scale, Multidimensional Multilingual Dataset for Video Text Spotting

BOVText: A Large-Scale, Bilingual Open World Dataset for Video Text Spotting Updated on December 10, 2021 (Release all dataset(2021 videos)) Updated o

weijiawu 47 Dec 26, 2022
🎁 3,000,000+ Unsplash images made available for research and machine learning

The Unsplash Dataset The Unsplash Dataset is made up of over 250,000+ contributing global photographers and data sourced from hundreds of millions of

Unsplash 2k Jan 03, 2023
Official PyTorch implementation of the preprint paper "Stylized Neural Painting", accepted to CVPR 2021.

Official PyTorch implementation of the preprint paper "Stylized Neural Painting", accepted to CVPR 2021.

Zhengxia Zou 1.5k Dec 28, 2022
The PyTorch implementation for paper "Neural Texture Extraction and Distribution for Controllable Person Image Synthesis" (CVPR2022 Oral)

ArXiv | Get Start Neural-Texture-Extraction-Distribution The PyTorch implementation for our paper "Neural Texture Extraction and Distribution for Cont

Ren Yurui 111 Dec 10, 2022
METER: Multimodal End-to-end TransformER

METER Code and pre-trained models will be publicized soon. Citation @article{dou2021meter, title={An Empirical Study of Training End-to-End Vision-a

Zi-Yi Dou 257 Jan 06, 2023
Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)

Learning to Simulate Dynamic Environments with GameGAN PyTorch code for GameGAN Learning to Simulate Dynamic Environments with GameGAN Seung Wook Kim,

199 Dec 26, 2022
Pytorch implementation of the paper "Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization"

Pytorch implementation of the paper "Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization"

Dongkyu Lee 4 Sep 18, 2022
This Repo is the official CUDA implementation of ICCV 2019 Oral paper for CARAFE: Content-Aware ReAssembly of FEatures

Introduction This Repo is the official CUDA implementation of ICCV 2019 Oral paper for CARAFE: Content-Aware ReAssembly of FEatures. @inproceedings{Wa

Jiaqi Wang 42 Jan 07, 2023