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CELESTE_STANDALONE(1)		     HUGIN		 CELESTE_STANDALONE(1)

NAME
       celeste_standalone - Cloud identification

SYNOPSIS
       celeste_standalone [options] image1 image2 [..]

DESCRIPTION
       Celeste has been	trained	using Support vector machine techniques	to
       identify	clouds in photos and remove control points from	these areas.
       celeste_standalone is a command-line tool with all the same
       functionality as	Celeste	in hugin.

       Simple usage is to just 'clean' an existing project file:

	celeste_standalone -i project.pto -o project.pto

OPTIONS
       -i <filename>
	   Input Hugin PTO file. Control points	over SVM threshold will	be
	   removed before being	written	to the output file. If -m is set to 1,
	   images in the file will be also be masked.

       -o <filename>
	   Output Hugin	PTO file. Default: '<filename>_celeste.pto'

       -d <filename>
	   SVM model file. Default: 'data/celeste.model'

       -s <int>
	   Maximum dimension for re-sized image	prior to processing. A higher
	   value will increase the resolution of the mask but is significantly
	   slower. Default: 800

       -t <float>
	   SVM threshold. Raise	this value to remove fewer control points,
	   lower it to remove more. Range 0 to 1. Default: 0.5

       -m <1|0>
	   Create masks	when processing	Hugin PTO file.	Default: 0

       -f <string>
	   Mask	file format. Options are PNG, JPEG, BMP, GIF and TIFF.
	   Default: PNG

       -r <1|0>
	   Filter radius. 0 = large (more accurate), 1 = small (higher
	   resolution mask, slower, less accurate). Default: 0

       -h  Print usage.

AUTHORS
       Written by Tim Nugent.

"Version: 2019.2.0"		  2011-07-17		 CELESTE_STANDALONE(1)

NAME | SYNOPSIS | DESCRIPTION | OPTIONS | AUTHORS

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<https://www.freebsd.org/cgi/man.cgi?query=celeste_standalone&sektion=1&manpath=FreeBSD+12.2-RELEASE+and+Ports>

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