Home

These pages provide information about an implementation of the MyoVision software package written in Python.

The basic approach is very similar to that described by Wen et al. (2018) but the software has been re-written in an attempt to make it more robust and potentially faster.

• Getting started
  • How to install MyoVision
    • Install Python using Anaconda
    • Install the GitHub client
    • Clone the Python MyoVision repository
  • Analyze a small image
  • What MyoVision did
• Next steps
  • Analyze a bigger image
  • Creating a new classifier
    • Segment a test image into test blobs
    • Manually-classify-blobs
    • Train the classifier
    • Test your new classifer
  • Process many images in sequence
• Running your own analyses
  • What to do with new images
• Background and useful tips
  • Folders and relative paths
  • How to organize your data
  • How computers store images
  • Classification
• Getting help
  • Things you should check first
  • How to create an issue
  • How to request a new feature
• Source code
  • Email MyoVision and ask for access to the GitHub repository