GithubHelp home page GithubHelp logo

yusufguleray / fiducial-markers-analysis Goto Github PK

View Code? Open in Web Editor NEW
11.0 2.0 0.0 12.11 MB

This repo provides a practical usage and anaylysis for the fiducial marker systems AprilTag, ArUco, ChAruCo, STag and TopoTag.

Python 100.00%
fiducial-markers analysis opencv opencv-python realsense realsense-python aruco apriltag stag charuco

fiducial-markers-analysis's Introduction

Fiducial Marker Analysis

This is a python repo that provides one-line detection and if desired visualization and analysis of several fiducial marker system both real-time(pyrealsense2 with a Intel Realsense camera) or offline(dataset). Fiducial marker systems that are included are: AprilTag, ArUco, ChAruCo, STag, and TopoTag.

Setup

Corresponding libraries for each fiducial marker system can be found in the libraries folder. Keep in mind that you only need to build the libraries that you are going to use.

Usage

Call the function fiducial_markers function in the main.py.

Dataset

A dataset containing 100 images for each size and type of marker can be found in this Google drive folder. Just download the dataset inside of the repo and call the following function from utils.py

GetImages(is_camera=use_camera, dataset_name=dataset_name)

  • where is_camera variable should be False since the dataset is used rather than the camera
  • dataset_name is the name of the subfolder containing the desired marker and size

Contact

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

fiducial-markers-analysis's People

Contributors

yusufguleray avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar

fiducial-markers-analysis's Issues

Instructions?

Hello Yusuf Ziya Güleray , do you have any tutorial or step by step on how your program works? I'm trying to run it but I'm getting some errors on my terminal.
Thank you, have a nice day

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.