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EMOJI CHEAT SHEET

Emoji emoticons listed on this page are supported on Campfire, GitHub, Basecamp, Redbooth, Trac, Flowdock, Sprint.ly, Kandan, Textbox.io, Kippt, Redmine, JabbR, Trello, Hall, plug.dj, Qiita, Zendesk, Ruby China, Grove, Idobata, NodeBB Forums, Slack, Streamup, OrganisedMinds, Hackpad, Cryptbin, Kato, Reportedly, Cheerful Ghost, IRCCloud, Dashcube, MyVideoGameList, Subrosa, Sococo, Quip, And Bang, Bonusly, Discourse, Ello, and Twemoji Awesome. However some of the emoji codes are not super easy to remember, so here is a little cheat sheet. ✈ Got flash enabled? Click the emoji code and it will be copied to your clipboard.

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The reStructuredText_ Cheat Sheet: Syntax Reminders

Info:	See <http://docutils.sf.net/rst.html> for introductory docs.
Author:	David Goodger <[email protected]>
Date:	2013-02-20
Revision:	7612
Description:	This is a "docinfo block", or bibliographic field list

Note

If you are reading this as HTML, please read

Setting up Travis deploy

Create an OAuth token from your profile settings

under Developer select Personal access token
generate a new one and copy it to the clipboard

On the travis page of the repository, go to settings --> More Options->Settings
Set a new Environment Variable called eg GITHUB_RELEASE_API_KEY or whatever u like, and copy the key
In the .travis.yaml file, under add something like that

before_deploy:
 - ARCHIVE_BASE_PATH=${INSTALL_DIR}

Introduction

The Openscan project https://openscan.eu is a really cool 3D printing and scanning project. It systematically takes a series of photos that can be stitched together into a 3D model using photogrammetry. Thomas Megel the creator of OpenScan has a really cool cloud-based service that can take the raw photos and turn them an STL model for you. You can read more about it here: https://github.com/OpenScanEu/OpenScan/blob/master/temp/README.md

Another way to take advantage of photogrammetry is using AliceVision's Meshroom. Prusa Research did a nice explainer/tutorial in this blog post: https://blog.prusaprinters.org/photogrammetry-2-3d-scanning-simpler-better-than-ever_29393/

The main "catch" with Meshroom is that it requires CUDA and hence an NVIDIA graphics card. It didn't have an NVIDIA card (and didn't want to figure out how to run in the cloud) but I did have a Jetson Nano 2GB https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/education-projects/

The documentati

	#! /usr/bin/env python
	"""
	Sort CSV file by multiple columns, writing output to sorted CSV file.
	Recommended for files saved in Windows CSV format.
	Useful for situations where data file is too large for Excel.

	: param source_file.csv : source csv file. Must end in .csv
	: param sort column 1 : first sort in Excel-like column number (i.e., 1 ... N)
	Use negative number to indicate descending sort,
	Positive number to indicate ascending sort_step

	#!/usr/bin/env python3
	# -- coding: utf-8 --


	import os, sys
	from tempfile import gettempdir
	from subprocess import call


	def beep(waveform=(79, 45, 32, 50, 99, 113, 126, 127)):

	% required dimensions
	standoff = 500; % distance from camera, in [mm]
	fovWidth = 320; % width of field of view, in [mm]
	fovHeight = 10; % height of FOV, in [mm]

	% sensor resolution
	sensorXRes = 4096; % widht
	sensorYRes = 3072; % height

	% pixel physical size

	docopt==0.6.2
	trimesh==2.10.18