wormpose 0.1.15

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans

_{Results videos adapted from Open Worm Movement Database license CC 4.0}

Overview

The WormPose package estimates the challenging poses of C. elegans (coiled, blurred etc.) in videos where the simple non coiled frames are already labeled.

We train a convolutional neural network with synthetic worm images so that there is no need for human annotated labels.

Get started quickly

Try the tutorial notebook

This notebook goes over the whole WormPose pipeline with some sample data and an already trained model. You can run it in Google Colab.

Read the documentation

Check the Documentation website for detailed instructions.

Read the paper

WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
Laetitia Hebert, Tosif Ahamed, Antonio C. Costa, Liam O’Shaugnessy, Greg J. Stephens
bioRxiv 2020.07.09.193755; doi: https://doi.org/10.1101/2020.07.09.193755