text: """
  The hytra package contains a set of scripts and Python modules to
  run the tracking pipeline -- mostly without ilastik.
  
  The important **scripts** are:
  
  * `hytra.create_label_image_from_raw`: after running *Pixel Classification* on a dataset,
   this script takes the probability maps and applies thresholding to get a segmentation,
   using the settings of an *ilastik Tracking* project.
  * `hytra.train_transition_classifier`: given a ground truth (as one .h5 file per frame) and
   corresponding raw data, it trains a random forest classifier to predict the quality of a transition.
  * `hytra.hypotheses_graph_to_json`: creates a JSON hypotheses graph given raw images, 
   their segmentations, and trained classifiers (can use a transition classifier from above).
  
  The important **modules** are:
  
  * `hytra.ilastik_project_options`
  * `hytra.random_forest_classifier`
  * `hytra.probabilitygenerator`
  * `hytra.hypothesesgraph`
  * `hytra.divisionfeatures`
  * `hytra.progressbar`
  
  The traxelstore and some of the scripts use the `hytra.pluginsystem` and 
  [`yapsy`](http://yapsy.sourceforge.net/) to make the pipeline easy to extend.
  
  """
  