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linefind(1) [debian man page]

LINEFIND(1)							       HUGIN							       LINEFIND(1)

NAME
linefind - Detect vertical features in images SYNOPSIS
linefind [options] -o output.pto input.pto DESCRIPTION
linefind is a detector for vertical features in images. It tries to find vertical lines using the same algorithm as Calibrate_lens_gui and assigns vertical control points to them. The detection runs on the source images, if the input images are rectilinear images. In the other cases (e. g. fisheye images) the input images are reprojected to an equirectangular projection and the detection works on the reprojected images. It uses the roll value, saved in the pto project file, to determine what is "top" and "bottom". So before running linefind check that your roll values are correct (E. g. when using images straight from the camera, use a roll value of 0 for landscape and a value of 90 or 270 for portrait images. If your camera has an orientation sensor, Hugin can detect this information automatically and sets the roll value accordingly when adding such images into Hugin. OPTIONS
-o|--output output.pto Output Hugin PTO file. Default: '<filename>_line.pto'. -l|--lines num The maximum number of lines added per image (default: 5) Attention: Keep in mind that more vertical control points will dominate the optimisation in favour of "normal" control points. -i|--image num Image number(s) to process. Normally linefind tries to find vertical lines in all images of the project file. If you want to limit the detection to some selected images, you can use this parameter. Can be used multiple times. -h|--help shows help AUTHORS
Thomas Modes, line detection code based on calibrate_lens by Tim Nugent "Version: 2011.4.0" 2011-12-02 LINEFIND(1)

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CELESTE_STANDALONE(1)						       HUGIN						     CELESTE_STANDALONE(1)

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: 2011.4.0" 2011-12-02 CELESTE_STANDALONE(1)
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