Hugin panoramic photo editor extends its reach

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celeste_standalone

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: 2011.4.0"						    2011-12-02						     CELESTE_STANDALONE(1)

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