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.