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dipy_horizon
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usage: dipy_horizon [-h] [--cluster] [--cluster_thr float] [--random_colors]
                     [--length_gt float] [--length_lt float]
                     [--clusters_gt int] [--clusters_lt int] [--native_coords]
                     [--stealth] [--out_dir str] [--out_stealth_png str]
                     input_files [input_files ...]

Highly interactive visualization - invert the Horizon!

Interact with any number of .trk, .tck or .dpy tractograms and anatomy files .nii or .nii.gz. Cluster streamlines on loading.

positional arguments:
  input_files

optional arguments:
  -h, --help            show this help message and exit
  --cluster
  --cluster_thr float
  --random_colors
  --length_gt float
  --length_lt float
  --clusters_gt int
  --clusters_lt int
  --native_coords
  --stealth

output arguments(optional):
  --out_dir str
  --out_stealth_png str

References: 
.. [Horizon_ISMRM19] Garyfallidis E., M-A. Cote, B.Q. Chandio,    S. Fadnavis, J. Guaje, R. Aggarwal, E. St-Onge, K.S. Juneja,    S. Koudoro, D. Reagan, DIPY Horizon: fast, modular, unified and    adaptive visualization, Proceedings of: International Society of    Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, 2019.
Garyfallidis, E., M. Brett, B. Amirbekian, A. Rokem, S. Van Der Walt, M. Descoteaux, and I. Nimmo-Smith. Dipy, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, 1-18, 2014.