This is the command celeste_standalone that can be run in the OnWorks free hosting provider using one of our multiple free online workstations such as Ubuntu Online, Fedora Online, Windows online emulator or MAC OS online emulator
PROGRAM:
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: 2015.0.0" 2016-01-06 CELESTE_STANDALONE(1)
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