@openhps/csv
TypeScript icon, indicating that this package has built-in type declarations

0.1.11 • Public • Published

OpenHPS
@openhps/csv

Build Status Maintainability npm version

@openhps/coreAPI


This repository contains the CSV component for OpenHPS (Open Source Hybrid Positioning System). It includes nodes for loading and storing data from CSV files. It is mainly used for prototyping.

OpenHPS is a data processing positioning framework. It is designed to support many different use cases ranging from simple positioning such as detecting the position of a pawn on a chessboard using RFID, to indoor positioning methods using multiple cameras.

Features

  • CSVDataSource to load data from a csv file.
  • CSVDataSink to store data frames or objects to a csv file.

Getting Started

If you have npm installed, start using @openhps/csv with the following command.

npm install @openhps/csv --save

Contributors

The framework is open source and is mainly developed by PhD Student Maxim Van de Wynckel as part of his research towards Hybrid Positioning and Implicit Human-Computer Interaction under the supervision of Prof. Dr. Beat Signer.

Contributing

Use of OpenHPS, contributions and feedback is highly appreciated. Please read our contributing guidelines for more information.

License

Copyright (C) 2019-2022 Maxim Van de Wynckel & Vrije Universiteit Brussel

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Readme

Keywords

Package Sidebar

Install

npm i @openhps/csv

Homepage

openhps.org

Weekly Downloads

6

Version

0.1.11

License

Apache-2.0

Unpacked Size

333 kB

Total Files

56

Last publish

Collaborators

  • maximvdw