Provided by: hugin-tools_2018.0.0+dfsg-3build1_amd64
celeste_standalone - Cloud identification
celeste_standalone [options] image1 image2 [..]
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
-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.
Written by Tim Nugent. "Version: 2018.0.0" 2018-11-24 CELESTE_STANDALONE(1)