Skip to main content

Signal Labeling with Python

Project description


LabelSIG

Electrical Signal Annotation with Python


Description

LabelSIG is an electrical signal annotation tool inspired by Labelme. Written in Python and utilizing Qt for its graphical interface, LabelSIG is designed for semantic segmentation tasks. Additionally, the tool can directly extract information from Common Format for Transient Data Exchange (COMTRADE) records. By using LabelSIG, various segments of samples are marked with different colors to easily identify their categories.

For more information or to obtain the lastest LabelSIG, please contact us via email at gaojianhong1994@foxmail.com.

Features

  • Signal annotation for comtrade file.
  • Annotation for fault feeder or section for earth fault localization in distribution networks.

Starter Guide

  • Installation guides for only Windows platforms now 馃捇
  • Step-by-step tutorials: first annotation to editing, exporting, and integrating with other programs 馃摃
  • A compilation of valuable resources for further exploration 馃敆.

Anaconda

You need install Anaconda, then run below:

Windows

Install Anaconda, then in an Anaconda Prompt run:

conda create --name=LabeSIG python=3
conda activate LabeSIG
pip install LabeSIG

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

LabelSIG-1.0.4.tar.gz (332.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

LabelSIG-1.0.4-py3-none-any.whl (346.6 kB view details)

Uploaded Python 3

File details

Details for the file LabelSIG-1.0.4.tar.gz.

File metadata

  • Download URL: LabelSIG-1.0.4.tar.gz
  • Upload date:
  • Size: 332.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for LabelSIG-1.0.4.tar.gz
Algorithm Hash digest
SHA256 5dda8d0bd354e7b077889f5b4bcf6a8ab31800a34bf53b58d3d42a149bbea793
MD5 438a21ab8a216d92f1d25b18f213b8b0
BLAKE2b-256 2092945ecc652d455e2f468b967b6dbcfa9b440a6ca89ae32d00a1ffdaca5895

See more details on using hashes here.

File details

Details for the file LabelSIG-1.0.4-py3-none-any.whl.

File metadata

  • Download URL: LabelSIG-1.0.4-py3-none-any.whl
  • Upload date:
  • Size: 346.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for LabelSIG-1.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f89802e24a65cb4285b81148fa5d355520538e33304090855708d6577250916e
MD5 223bfdb0420e603227ad6ff8cb7c16c4
BLAKE2b-256 a3c655a3ef0438798d9d823fc31fb7a79c221935ad148b9d62f2fb024161f8c2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page