celeste_standalone - Cloud identification

       Written by Tim Nugent.

Version: 2024.0.1"                                 2025-01-03                            CELESTE_STANDALONE("1")

       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

       celeste_standalone - Cloud identification

-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.

celeste_standalone [options] image1image2[..]