Documentation

MLHelper is a free-to-use pip module for machine learning experiments.

Requirements

• OpenCV 3 or later
• Python 3.6 or later

Installation

You can install and update MLHelper directly via pip:

pip install MLHelper

Structure

• ImgReader
  • Class. Used to retrieve a data object and loading images into NumPy arrays without labels.
• ImgLblReader
  • Class. Used to retrieve a data object, loading images into NumPy arrays, and parsing labels.
• datasets
  • Submodule that holds different dataset objects, i.e. a collection of paths that can be passed to ImgReader and ImgLblReader.