1CELESTE_STANDALONE(1) HUGIN CELESTE_STANDALONE(1)
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6 celeste_standalone - Cloud identification
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9 celeste_standalone [options] image1 image2 [..]
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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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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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56 Written by Tim Nugent.
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60"Version: 2019.0.0" 2011-07-17 CELESTE_STANDALONE(1)