.. _scil_volume_stats_in_labels:

scil_volume_stats_in_labels
===========================

::

	usage: __main__.py [-h] (--metrics_dir dir | --metrics file [file ...])
	                   [--indent INDENT] [--sort_keys]
	                   [-v [{DEBUG,INFO,WARNING,ERROR}]] [-f]
	                   in_labels in_labels_lut
	
	Computes the information from the input metrics for each cortical region
	(corresponding to an atlas). If more than one metric are provided, statistics are
	computed separately for each.
	
	Hint: For instance, this script could be useful if you have a seed map from a
	specific bundle, to know from which regions it originated.
	
	positional arguments:
	  in_labels             Path of the input label file.
	  in_labels_lut         Path of the LUT file corresponding to labels,used to name the regions of interest.
	
	options:
	  -h, --help            show this help message and exit
	  -v [{DEBUG,INFO,WARNING,ERROR}]
	                        Produces verbose output depending on the provided level. 
	                        Default level is warning, default when using -v is info.
	  -f                    Force overwriting of the output files.
	
	Metrics input options:
	  --metrics_dir dir     Name of the directory containing metrics files: we will 
	                        load all nifti files.
	  --metrics file [file ...]
	                        Metrics nifti filename. List of the names of the metrics file, 
	                        in nifti format.
	
	Json options:
	  --indent INDENT       Indent for json pretty print.
	  --sort_keys           Sort keys in output json.
	
	2.2.2