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celeste_standalone - Cloud identification


celeste_standalone [options] image1 image2 [..]


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


-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

-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.


Written by Tim Nugent.

"Version: 2015.0.0" 2016-01-06 CELESTE_STANDALONE(1)

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