• Table of Contents
  • The Menpo Project
  • Installation
    • Conda
      • Windows
        • Beginner
        • Expert
      • macOS
        • Beginner
        • Expert
      • Linux
        • Beginner
        • Expert
      • Expert Quick Start
      • Development
    • Playground
    • Pip
  • menpo
    • Introduction
    • Data Types
    • Consistency
    • Vectorizing
    • Visualization
    • API Documentation
  • menpofit
    • Basics
      • Importing Images
      • Training
      • Fitting
      • Fitting Result
      • Visualizing Objects
      • Running Experiments
    • Point Distribution Model
    • Affine Image Alignment
      • Lucas-Kanade
    • Deformable Image Alignment
      • Active Template Model
    • Landmark Localization
      • Active Appearance Model
      • Active Pictorial Structures
      • Constrained Local Model
      • Supervised Descent Method
      • Ensemble of Regression Trees
    • References
    • API Documentation
  • menpodetect
    • API Documentation
  • menpowidgets
    • Main Widgets
      • Menpo Widgets
      • MenpoFit Widgets
    • Widgets Components
      • Options Widgets
      • Tools Widgets
    • API Documentation
  • menpo3d
  • menpocli
  • landmarker.io
    • Specifications
    • User Guide
    • Snap Mode
  • Examples
  • Manifesto
  • The Menpo Team
  • Citation
  • FAQ
  • Published with GitBook

Installation

Installation
choose an option to find out more.
new to Python?
or
want to quickly try menpo?
playground
  • Standalone build of menpo - everything you need in one folder
  • No install - just download and use
  • Includes pre-trained models, command line tools for face detection and landmark localization, and example notebooks
  • Easy to migrate to a full conda installation when you are ready
isolated & hassle free
already use conda?
or
want to contribute?
conda
  • The Python distribution of choice for many researchers
  • Quickly and easily install all of the Menpo Project
  • Easily install more Python packages with conda and pip
  • Define multiple isolated environments and switch between them easily
  • Install development versions and contribute to menpo
flexible & powerful
have an existing non-conda install you want to use menpo with?
pip
  • Use the powerful menpo core library with your existing Python setup
  • Great for deep learning researchers - benefit from menpo as a preprocessing library
  • Currently limited to the menpo core library due to tricky dependencies for other parts of the project. Wish this weren’t the case? Let us know!
integrate with what you have

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