Andrew Turner ajturner

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

Auto-deploying built products to gh-pages with GitHub Actions

This is a set up for projects which want to check in only their source files, but have their gh-pages branch automatically updated with some compiled output every time they push.

A file below this one contains the steps for doing this with Travis CI. However, these days I recommend GitHub Actions, for the following reasons:

It is much easier and requires less steps, because you are already authenticated with GitHub, so you don't need to share secret keys across services like you do when coordinate Travis CI and GitHub.
It is free, with no quotas.
Anecdotally, builds are much faster with GitHub Actions than with Travis CI, especially in terms of time spent waiting for a builder.

	#!/bin/bash


	#### SETUP
	# 1.) Create a simple point layer
	curl -X POST -d '{"layer":"geom","lat":"lat","lon":"lon"}' --header "Content-Type:application/json" http://localhost:7474/db/data/ext/SpatialPlugin/graphdb/addSimplePointLayer

	# 2.) Add a spatial index
	curl -X POST -d '{"name":"geom","config":{"provider":"spatial","geometry_type":"point","lat":"lat","lon":"lon"}}' --header "Content-Type:application/json" http://localhost:7474/db/data/index/node/

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<title>Portal Pagnation</title>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<link rel="stylesheet" href="http://maxcdn.bootstrapcdn.com/bootstrap/3.3.5/css/bootstrap.min.css">

	<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js"></script>
	<script src="http://maxcdn.bootstrapcdn.com/bootstrap/3.3.5/js/bootstrap.min.js"></script>

	import base64 as b64
	import numpy as np
	import cv2
	import matplotlib.pyplot as plt
	from ipywidgets import interact, interactive, fixed
	from IPython.display import Image, display
	import ipywidgets as widgets
	from itertools import tee, izip

	WINDOW_SIZE = 41 # size of window to use when computing averages. Endpoint images outside