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Multi-Agent Accelerator for Data Science (MAADS): Transactional Machine Learning

Project description

Multi-Agent Accelerator for Data Science Using Transactional Machine Learning (MAADSTMLMEDIA)

Revolutionizing Data Stream Science with Transactional Machine Learning

Overview

MAADSTMLMEDIA allows users to extract text from images, audio and video.

Compatibility - Python 3.7 or greater - Minimal Python skills needed

Copyright

  • Author: Sebastian Maurice, PhD

Installation

  • At the command prompt write: pip install maadstmlmedia

  • viperimagetotext

    • Extracts text from images like PNG, JPG, etc., which can then be streamed to kafka.
  • viperaudiototext

    • Extracts text from audio files like WAV, etc., which can then be streamed to kafka.
  • vipervideototext

    • Extracts text from video files like MP4, etc., which can then be streamed to kafka.

First import the Python library.

import maadstmlmedia

1. maadstmlmedia.viperimagetotext(imagefilename)

Parameters: Extract text from images.

imagefilename : string, required

  • Image filename like PNG, JPG etc.

RETURNS: Text in image.

2. maadstmlmedia.vipervideototext(videofilename)

Parameters: Extract text from video.

videofilename : string, required

  • Video filename like MP4 etc.

RETURNS: Text in video.

3. maadstmlmedia.viperaudiototext(audiofilename)

Parameters: Extract text from audio

audiofilename : string, required

  • Audio filename like WAV etc.

RETURNS: Text in audio.

Project details


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maadstmlmedia-1.2.tar.gz (8.2 kB view hashes)

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maadstmlmedia-1.2-py3-none-any.whl (32.6 kB view hashes)

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