Provided by: mrcal_2.4.1-3build1_amd64 bug

NAME

       mrcal-is-within-valid-intrinsics-region - Reports which input points lie within the
       valid-intrinsics region

SYNOPSIS

         $ < points-in.vnl
           mrcal-is-within-valid-intrinsics-region --cols-xy x y
             camera.cameramodel
           > points-annotated.vnl

DESCRIPTION

       mrcal camera models may have an estimate of the region of the imager where the intrinsics
       are trustworthy (originally computed with a low-enough error and uncertainty). When using
       a model, we may want to process points that fall outside of this region differently from
       points that fall within this region.  This tool augments an incoming vnlog with a new
       column, indicating whether each point does or does not fall within the region.

       The input data comes in on standard input, and the output data is written to standard
       output. Both are vnlog data: a human-readable table of ascii text. The names of the x and
       y columns in the input are given in the required --cols-xy argument. The output contains
       all the columns from the input, with an extra column appended at the end, containing the
       results. The name of this column can be specified with --col-output, but this can be
       omitted if the default 'is-within-valid-intrinsics-region' is acceptable.

OPTIONS

   POSITIONAL ARGUMENTS
         model                 Camera model

   OPTIONAL ARGUMENTS
         -h, --help            show this help message and exit
         --cols-xy COLS_XY COLS_XY
                               The names of the columns in the input containing the x
                               and y pixel coordinates respectively. This is required
         --col-output COL_OUTPUT
                               The name of the column to append in the output. This
                               is optional; a reasonable default will be used if
                               omitted

REPOSITORY

       <https://www.github.com/dkogan/mrcal>

AUTHOR

       Dima Kogan, "<dima@secretsauce.net>"

LICENSE AND COPYRIGHT

       Copyright (c) 2017-2023 California Institute of Technology ("Caltech"). U.S.  Government
       sponsorship acknowledged. All rights reserved.

       Licensed under the Apache License, Version 2.0 (the "License"); You may obtain a copy of
       the License at

           http://www.apache.org/licenses/LICENSE-2.0