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=3.9
conda activate LabeSIG
pip install LabeSIG

Run

To start LabelSIG, run one of the following commands in your terminal:

labelsig 

or

LabelSIG

or

Labelsig

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-2.0.6.tar.gz (330.2 kB view details)

Uploaded Source

Built Distribution

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

LabelSIG-2.0.6-py3-none-any.whl (355.9 kB view details)

Uploaded Python 3

File details

Details for the file LabelSIG-2.0.6.tar.gz.

File metadata

  • Download URL: LabelSIG-2.0.6.tar.gz
  • Upload date:
  • Size: 330.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for LabelSIG-2.0.6.tar.gz
Algorithm Hash digest
SHA256 6a97b8cd04aea3a5d62f7cc025639b72f43a4de27b2847cd3d6905ea63e9a314
MD5 e8ad1280107dee9baa09f9ebeb7931d7
BLAKE2b-256 b197a7d8cd256317013c28b28ee325cfb96c051b686d090884870d7c6e8e8c24

See more details on using hashes here.

File details

Details for the file LabelSIG-2.0.6-py3-none-any.whl.

File metadata

  • Download URL: LabelSIG-2.0.6-py3-none-any.whl
  • Upload date:
  • Size: 355.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for LabelSIG-2.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 eba6c99480984e1d253ff2fcaddc50c854d8b171ee825d4f9946635402dcb701
MD5 bd7d0ec29b20768d7b4fee3cf45b490d
BLAKE2b-256 516bfa89b078f1b576781db87b8586c13beb4e61465d4ee2cfe786bbc73a499e

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