NAME

       celeste_standalone - Cloud identification

SYNOPSIS

       celeste_standalone [options] image1 image2 [..]

DESCRIPTION

       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

       -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.

AUTHORS

       Written by Tim Nugent.

"Version: 2019.2.0"                         2020-02-04                      CELESTE_STANDALONE(1)