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
Simple, but essential Bayesian optimization package

BayesO: A Bayesian optimization framework in Python Simple, but essential Bayesian optimization package. http://bayeso.org Online documentation Instal

Jungtaek Kim 74 Dec 05, 2022
[ICLR'21] FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

FedBN: Federated Learning on Non-IID Features via Local Batch Normalization This is the PyTorch implemention of our paper FedBN: Federated Learning on

<a href=[email protected]"> 156 Dec 15, 2022
Off-policy continuous control in PyTorch, with RDPG, RTD3 & RSAC

arXiv technical report soon available. we are updating the readme to be as comprehensive as possible Please ask any questions in Issues, thanks. Intro

Zhihan 31 Dec 30, 2022
graph-theoretic framework for robust pairwise data association

CLIPPER: A Graph-Theoretic Framework for Robust Data Association Data association is a fundamental problem in robotics and autonomy. CLIPPER provides

MIT Aerospace Controls Laboratory 118 Dec 28, 2022
Agile SVG maker for python

Agile SVG Maker Need to draw hundreds of frames for a GIF? Need to change the style of all pictures in a PPT? Need to draw similar images with differe

SemiWaker 4 Sep 25, 2022
Hypernetwork-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels The implementation of Hypernet-Ensemble Le

Sungmin Hong 6 Jul 18, 2022
PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021

Temporal Output Discrepancy for Active Learning PyTorch implementation of Semi-Supervised Active Learning with Temporal Output Discrepancy, ICCV 2021.

Siyu Huang 33 Dec 06, 2022
Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"

ElasticGNN This repository includes the official implementation of ElasticGNN in the paper "Elastic Graph Neural Networks" [ICML 2021]. Xiaorui Liu, W

liuxiaorui 34 Dec 04, 2022
This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

Behavior-Sequence-Transformer-Pytorch This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf This model

Jaime Ferrando Huertas 83 Jan 05, 2023
PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

deep-hist PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation PyT

Winfried Lötzsch 10 Dec 06, 2022
Parameterising Simulated Annealing for the Travelling Salesman Problem

Parameterising Simulated Annealing for the Travelling Salesman Problem

Gary Sun 55 Jun 15, 2022
This is the repository for our paper SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking

SimpleTrack This is the repository for our paper SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking. We are still working on writing t

TuSimple 189 Dec 26, 2022
Accelerated Multi-Modal MR Imaging with Transformers

Accelerated Multi-Modal MR Imaging with Transformers Dependencies numpy==1.18.5 scikit_image==0.16.2 torchvision==0.8.1 torch==1.7.0 runstats==1.8.0 p

54 Dec 16, 2022
MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network

MatchGAN: A Self-supervised Semi-supervised Conditional Generative Adversarial Network This repository is the official implementation of MatchGAN: A S

Justin Sun 12 Dec 27, 2022
《Towards High Fidelity Face Relighting with Realistic Shadows》(CVPR 2021)

Towards High Fidelity Face-Relighting with Realistic Shadows Andrew Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu. In CVPR, 2021. T

114 Dec 10, 2022
A vision library for performing sliced inference on large images/small objects

SAHI: Slicing Aided Hyper Inference A vision library for performing sliced inference on large images/small objects Overview Object detection and insta

Open Business Software Solutions 2.3k Jan 04, 2023
A collection of differentiable SVD methods and also the official implementation of the ICCV21 paper "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"

Differentiable SVD Introduction This repository contains: The official Pytorch implementation of ICCV21 paper Why Approximate Matrix Square Root Outpe

YueSong 32 Dec 25, 2022
Compressed Video Action Recognition

Compressed Video Action Recognition Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl. In CVPR, 2018. [Proj

Chao-Yuan Wu 479 Dec 26, 2022
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.

Pretrain-Recsys This is our Tensorflow implementation for our WSDM 2021 paper: Bowen Hao, Jing Zhang, Hongzhi Yin, Cuiping Li, Hong Chen. Pre-Training

30 Nov 14, 2022
Wenzhou-Kean University AI-LAB

AI-LAB This is Wenzhou-Kean University AI-LAB. Our research interests are in Computer Vision and Natural Language Processing. Computer Vision Please g

WKU AI-LAB 10 May 05, 2022