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Manual Reference Pages  -  CELESTE_STANDALONE (1)

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NAME

celeste_standalone - Cloud identification

CONTENTS

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.
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Version: 2016.0.0 CELESTE_STANDALONE (1) 2014-02-12

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