Provided by: python3-berrynet_3.10.2-2_all 

NAME
bn_telegram - program to send deep learning results from MQTT to telegram
SYNOPSIS
bn_telegram --token TOKEN [--target-label TARGET_LABEL] [--broker-ip BROKER_IP]
[--broker-port BROKER_PORT] [--topic [TOPIC...]] [--topic-action TOPIC_ACTION]
[--topic-config TOPIC_CONFIG]
bn_telegram [{-h | --help} | {--debug}]
DESCRIPTION
This manual page documents briefly the bn_telegram command.
This manual page was written for the Debian distribution because the original program does not have a
manual page.
bn_telegram is a program that send results to telegram.
OPTIONS
The program follows the usual GNU command line syntax, with long options starting with two dashes (`-').
A summary of options is included below.
--token TOKEN
Telegram token got from BotFather, or filepath of a JSON config file with token.
--target-label TARGET_LABEL
Send notification email if the label is in inference result.
--broker-ip BROKER_IP
MQTT broker IP.
--broker-port BROKER_PORT
MQTT broker port.
--topic [TOPIC...]
The topic to listen, and can be indicated multiple times.
--topic-action TOPIC_ACTION
The action for the indicated topics.
--topic-config TOPIC_CONFIG
Path of the MQTT topic subscription JSON.
--pipeline-compatible
Change key of b64 image string in generalized result from bytes to image_blob. Note: This is an
experimental parameter.
-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_darknet(1), bn_camera(1), bn_gmail(1)
AUTHOR
Ying-Chun Liu <paulliu@debian.org>
Wrote this manpage for the Debian system.
COPYRIGHT
Copyright © 2020 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_telegram 03/01/2023 BERRYNET(1)