Sylvain POULAIN kikislater

HOWTO: Receive SMS via 4G/LTE Huawei stick on Raspberry Pi 4 and forward them via Telegram

I live abroad and have only 1 sim card slot in my phone. It holds the SIM card of the country that I am in right now. But I also have another SIM card from my home country which receives my banking SMS codes. I can't afford to lose the "home" SIM card, so I decided to keep it in my house and forward the SMS messages to my main phone and computer via Telegram (just like Whatsapp, but so much better).

I also made a choice to use a 4G/LTE stick instead of 3G, because the 3G signal in my area is getting worse in worse due to operators upgrading their equipment.

Prerequisites

Raspberry Pi 4
Huawei E8372 (but can be any similar)

Step 1 - Get the Huawei card to work properly with Raspberry

Dependencies

usb_modeswitch, usb_modeswitch-data
libusb1
libusb-devel(Fedora), libusb-dev(Debian based)

Configuration

By default, your linux box would register your Huawei E8372 as a Mass Storage device and not (somehow) as a modem. First, make sure you have the exace same device we're talking about. This can be confirmed by looking at 2 values. Give the following command (while the dongle is plugged in):

    sudo su
    lsusb | grep Huawei

	// ==UserScript==
	// @name Free Surfline Forecasts
	// @namespace http://tampermonkey.net/
	// @version 0.1
	// @description Unblurr restricted forecast data. They are dumb enough to actually put the real data in the DOM.
	// @author samtay
	// @match http://www.surfline.com/
	// @grant none
	// ==/UserScript==

	import numpy as np
	import cv2
	import glob
	import yaml
	#import pathlib

	# termination criteria
	criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 30, 0.001)
	# prepare object points, like (0,0,0), (1,0,0), (2,0,0) ....,(6,5,0)
	objp = np.zeros((7*7,3), np.float32)

	__author__ = 'kersten.clauss'

	"""Benchmark different GeoTiff compression algorithms.

	Usage: GTiff_compression_benchmark.py some_geo.tif

	Requires the GDAL tools to be present and executable from the command line of your system.

	This script will take a GeoTiff as input and create copies with different compression algorithms from it.
	It measures the filesize, compression and decompression times and returns them as a table.

	# ----------------------------------------------------------------------------------------------------------------------
	# Name: CompareCompression.py
	# Py-Version: 3.x.x
	# Purpose: Takes a sample GeoTIFF and writes a table to the command line describing the
	# file size, read speed, and write speed of each GDAL compression. You can use this
	# tool to decide how to best compress a single image, or a collection of images.
	#
	# Notes: The Python interpreter and GDAL must be accessible by cmd. The easiest way to do
	# this by using the python installation included with ArcGIS Pro 2.3.x and later.
	# This installation has the GDAL site package and binaries already configured. Add

	"""
	***************************************************************************
	camera_calculator.py
	---------------------
	Date : August 2019
	Copyright : (C) 2019 by Luigi Pirelli
	Email : luipir at gmail dot com
	***************************************************************************
	* *
	* This program is free software; you can redistribute it and/or modify *

	sed -i '/<pattern>/s/^/#/g' file #comment
	sed -i.bak '/argtypes/s/^/#/' file #comment and backup
	sed -i '/<pattern>/s/^#//g' file #uncomment