1CELESTE_STANDALONE(1)                HUGIN               CELESTE_STANDALONE(1)
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NAME

6       celeste_standalone - Cloud identification
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SYNOPSIS

9       celeste_standalone [options] image1 image2 [..]
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DESCRIPTION

12       Celeste has been trained using Support vector machine techniques to
13       identify clouds in photos and remove control points from these areas.
14       celeste_standalone is a command-line tool with all the same
15       functionality as Celeste in hugin.
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17       Simple usage is to just 'clean' an existing project file:
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19        celeste_standalone -i project.pto -o project.pto
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OPTIONS

22       -i <filename>
23           Input Hugin PTO file. Control points over SVM threshold will be
24           removed before being written to the output file. If -m is set to 1,
25           images in the file will be also be masked.
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27       -o <filename>
28           Output Hugin PTO file. Default: '<filename>_celeste.pto'
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30       -d <filename>
31           SVM model file. Default: 'data/celeste.model'
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33       -s <int>
34           Maximum dimension for re-sized image prior to processing. A higher
35           value will increase the resolution of the mask but is significantly
36           slower. Default: 800
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38       -t <float>
39           SVM threshold. Raise this value to remove fewer control points,
40           lower it to remove more. Range 0 to 1. Default: 0.5
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42       -m <1|0>
43           Create masks when processing Hugin PTO file. Default: 0
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45       -f <string>
46           Mask file format. Options are PNG, JPEG, BMP, GIF and TIFF.
47           Default: PNG
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49       -r <1|0>
50           Filter radius. 0 = large (more accurate), 1 = small (higher
51           resolution mask, slower, less accurate). Default: 0
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53       -h  Print usage.
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AUTHORS

56       Written by Tim Nugent.
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60"Version: 2019.2.0"               2020-08-08             CELESTE_STANDALONE(1)
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