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-2.0.0.tar.gz (334.5 kB view details)

Uploaded Source

Built Distribution

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

LabelSIG-2.0.0-py3-none-any.whl (360.6 kB view details)

Uploaded Python 3

File details

Details for the file LabelSIG-2.0.0.tar.gz.

File metadata

  • Download URL: LabelSIG-2.0.0.tar.gz
  • Upload date:
  • Size: 334.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for LabelSIG-2.0.0.tar.gz
Algorithm Hash digest
SHA256 cd0a58b11a7877a212f06f4ed990556843b92dccd94f654d5380c5cee48d7120
MD5 5bc8fd8e29076c955f9fb00d82ee9132
BLAKE2b-256 bc86a09f117e5f62c85c7a7fe337bd0e9125b3c93308f5914b94dea5bad98f97

See more details on using hashes here.

File details

Details for the file LabelSIG-2.0.0-py3-none-any.whl.

File metadata

  • Download URL: LabelSIG-2.0.0-py3-none-any.whl
  • Upload date:
  • Size: 360.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for LabelSIG-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0c8dbb9aac4daa52a1a79534a994392384c1bb92915857b71c50273391325daa
MD5 bd7548ddc2fdbde0909932acb6cc21ea
BLAKE2b-256 595c63d907a11e6e572acc4d422cabdfc366b36cab2c55b53a09373f8e8c8f32

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