celeste_standalone1
Cloud identification
Usage
celeste_standalone [options] image1 image2 [..]
Overview
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
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-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.
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-o <filename> -
Output Hugin PTO file. Default: '<filename>_celeste.pto'
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-d <filename> -
SVM model file. Default: 'data/celeste.model'
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-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
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-t <float> -
SVM threshold. Raise this value to remove fewer control points, lower it to remove more. Range 0 to 1. Default: 0.5
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-m <1|0> -
Create masks when processing Hugin PTO file. Default: 0
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-f <string> -
Mask file format. Options are PNG, JPEG, BMP, GIF and TIFF. Default: PNG
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-r <1|0> -
Filter radius. 0 = large (more accurate), 1 = small (higher resolution mask, slower, less accurate). Default: 0
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-h -
Print usage.
Releases
9 releases since Debian 6.0 (Squeeze); the text changed 8 times.