NAME

       bn_darknet - program to analyse images from MQTT by darknet

SYNOPSIS

       bn_darknet [--service_name SERVICE_NAME] [{-m | --model} MODEL] [{-l | --label} LABEL]
                  [{-p | --model_package} MODEL_PACKAGE] [--draw]

       bn_darknet [{-h | --help} | {--debug}]

DESCRIPTION

       This manual page documents briefly the bn_darknet command.

       This manual page was written for the Debian distribution because the original program does not have a
       manual page.

       bn_darknet is a program that analyse images from MQTT by darknet engine.

OPTIONS

       The program follows the usual GNU command line syntax, with long options starting with two dashes (`-').
       A summary of options is included below.

       --service_name SERVICE_NAME
           Human-readable service name for service management.

       -m MODEL, --model MODEL
           Model file path

       -l LABEL, --label LABEL
           Label file path

       -p MODEL_PACKAGE, --model_package MODEL_PACKAGE
           Model package name. Find model and label file paths automatically.

       --draw
           Draw bounding boxes on image in result

       -h, --help
           Show summary of options.

       --debug
           Debug mode toggle.

BUGS

       The upstreams BTS can be found at https://github.com/DT42/BerryNet/issues.

SEE ALSO

       bn_camera(1), bn_dashboard(1), bn_data_collector(1)

AUTHOR

       Ying-Chun Liu <paulliu@debian.org>
           Wrote this manpage for the Debian system.

COPYRIGHT

       Copyright © 2018 Ying-Chun Liu (PaulLiu)

       This manual page was written for the Debian system (and may be used by others).

       Permission is granted to copy, distribute and/or modify this document under the terms of the GNU General
       Public License, Version 3 or (at your option) any later version published by the Free Software
       Foundation.

       On Debian systems, the complete text of the GNU General Public License can be found in
       /usr/share/common-licenses/GPL-3.

bn_darknet                                         02/16/2021                                        BERRYNET(1)