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Installation guide for ORB-SLAM on UBUNTU 22LTS

1. Installation of ORB-SLAM 3 on a fresh installed Ubuntu 22.04

Install all liberay dependencies.

sudo apt update

https://lmu.lge.com/ExternalService/lgscreenmanager/mac/FW/22MD4KA_MP7/FWLatestVersion.txt https://lmu.lge.com/ExternalService/lgscreenmanager/mac/FW/27MD5KA_MP4/FWLatestVersion.txt https://lmu.lge.com/ExternalService/lgscreenmanager/mac/FW/27MD5KL_TBT_PD/FWLatestVersion.txt https://lmu.lge.com/ExternalService/lgscreenmanager/mac/FW/24MD4KL_TBT_PD/FWLatestVersion.txt

https://lmu.lge.com/ExternalService/lgscreenmanager/mac/FW/22MD4KA_MP7/ https://lmu.lge.com/ExternalService/lgscreenmanager/mac/FW/27MD5KA_MP4/ https://lmu.lge.com/ExternalService/lgscreenmanager/mac/FW/27MD5KL_TBT_PD/ https://lmu.lge.com/ExternalService/lgscreenmanager/mac/FW/24MD4KL_TBT_PD/

links for old versions of Docker for Mac

Deprecated

Docker provides download links in release note. They promised that

(we) will also include download links in release notes for future releases.

Note:

How I do machine learning with geospatial data

I have a couple of AI/ML projects related to mapping things, often conservation related, with remote sensing data. Some details and packages will vary, but the process below describes how I generally approach these types of problems. Some of these tools I have only touched briefly, but I like them, and this is more an outline of how I would like to approach a new project than a retrospective look at my previous work.

We use AWS, so it makes sense to use datasets and services that are already hosted on AWS. The data discovery and loading part of this process would look somewhat different if we were using Azure and Planetary Computer, and very different if we were using GCP and Earth Engine.

Compute

All of my analysis will be done using python on an AWS VM in the same region as my data on S3, Probably using VSCode on Sagemaker or [JupyterLab](https://docs.aws.amazo

	#!/bin/bash
	#
	# ▓▓▓▓▓▓▓▓▓▓
	# ░▓ author ▓ cirrus <cirrus@archlinux.info>
	# ░▓ code ▓ https://gist.github.com/cirrusUK
	# ░▓ mirror ▓ http://cirrus.turtil.net
	# ░▓▓▓▓▓▓▓▓▓▓
	# ░░░░░░░░░░

	<center>
	<body background="bg.gif" >
	<pre> <FONT COLOR="17885C">
	<title>A Webpage</title> <center> </font><FONT COLOR="#c22e13">Powered by Archlinux Arm + Raspberry Pi</font>
	<pre></FONT></pre>
	<a href='https://alpha.app.net/cirrusuk' class='adn-button' target='_blank' data-type='follow' data-width='277' data-height='27' data-user-id='@cirrusuk' data-show-username='1' rel='me'><FONT COLOR="C4BE24">Follow me on App.net</FONT> </a><script>(function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src='//d2zh9g63fcvyrq.cloudfront.net/adn.js';fjs.parentNode.insertBefore(js,fjs);}}(document, 'script', 'adn-button-js'));</script>

	https://geo.itunes.apple.com/us/album/perfect/id1193701079?i=1193701400&app=music

	<iframe src="http://tools.applemusic.com/embed/v1/song/1193701400?country=us" height="110px" width="100%" frameborder="0"></iframe>

	async function createAccount(){

	var USER_PREFIX = 'USER_PREFIX'; // change here.
	var USER_PASS = 'USER_PASSWORD'; // change-here
	var TIMER_DELAY = 300;
	// password
	await delay(TIMER_DELAY);
	var password = document.getElementById('password1');
	password.value = USER_PASS;

	"""
	Single Responsibility Principle
	“…You had one job” — Loki to Skurge in Thor: Ragnarok
	A class should have only one job.
	If a class has more than one responsibility, it becomes coupled.
	A change to one responsibility results to modification of the other responsibility.
	"""

	class Animal:
	def __init__(self, name: str):

	var webpack = require('webpack')
	var ExtractTextPlugin = require("extract-text-webpack-plugin")
	var path = require('path');

	module.exports = {

	entry: "./src/index.js",
	output: {
	path: path.resolve(__dirname, ''), // string
	filename: "[name].js", // string

	// location.search = '?a=b&c=d&limit=20'
	var get = new Map(location.search.substr(1).split('&').map((pair)=>{return pair.split('=')}))
	// get = {a:'b', c:'d', limit: 20}