simulaix 0.0.2

An efficient synthetic data framework

Simulaix

An efficient synthetic data framework

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Introduction to Simulaix:

• About Simulaix
  • Why Simulaix?
  • Features
  • Roadmap
• Installation
  • Usage

About Simulaix

Simulaix is a synthetic data generation framework that allows you to create synthetic data for machine learning and deep learning applications. It provides a simple and easy-to-use API to generate synthetic data for various applications.

Why Simulaix?

Features

• add face generation
• add img generation

Installation

# install from PyPI
pip install simulaix

Usage

import simulaix as sim

# create a synthetic data generator
generator = sim.Generator(type='face', size=(200, 200))
generator.generate(num_samples=1000, output_dir='data/face')

Requirements

Python 3.7 or higher.