ilya dobrych

TIFF compression options

Summary

Realistically, especially when considering the inherent noise in the original image, I'd settle for lossy compression with COMPRESS=JPEG JPEG_QUALITY=90, which could reduce file size fairly quickly to 16% of the original.

But if lossless compression is a hard requirement, I'd probably go with COMPRESS=LZW PREDICTOR=2. However, I would want to verify that any downstream tools would support this sort of compression.

UPDATE: When saving with JPEG compression, further speed and size improvements are gained by adding PHOTOMETRIC=YCBCR, which uses a different color space that has even better compression. I've added new rows to the table for YCBCR, as well as .jp2 formats.

Raspberry Pi Audio Visualiser

To play music at home, I use a Raspberry Pi and Shairport-sync to receive an Airplay stream and output via a pair of USB speakers.

I wanted to sample the audio stream, display an audio visualiser on the Display-o-Tron LCD display. Additionally I wanted to display the track info, which can be read from the metadata.

Using a bit of python magic, we can tie it all together...! Watch it all in action:

MacOS X + oh my zsh + powerline fonts + visual studio code (vscode) terminal settings

Thank you everybody, Your comments makes it better

Install oh my zsh

http://ohmyz.sh/

sh -c "$(curl -fsSL https://raw.github.com/ohmyzsh/ohmyzsh/master/tools/install.sh)"

What forces layout / reflow

All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.

Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.

Element APIs

Getting box metrics

elem.offsetLeft, elem.offsetTop, elem.offsetWidth, elem.offsetHeight, elem.offsetParent

	#! /usr/bin/env ruby

	# NOTE: Requires Ruby 2.1 or greater.

	# This script can be used to parse and dump the information from
	# the 'html/contact_info.htm' file in a Facebook user data ZIP download.
	#
	# It prints all cell phone call + SMS message + MMS records, plus a summary of each.
	#
	# It also dumps all of the records into CSV files inside a 'CSV' folder, that is created

	import numpy as np
	import matplotlib.pyplot as plt
	import pandas as pd
	import os.path
	import re

	from osgeo import gdal
	from osgeo import gdal_array
	from osgeo import osr

	<html>
	<head>
	<meta charset='utf-8' />
	<title></title>
	<meta name='viewport' content='initial-scale=1,maximum-scale=1,user-scalable=no' />
	<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js"></script>
	<script src='https://api.tiles.mapbox.com/mapbox-gl-js/v0.11.4/mapbox-gl.js'></script>
	<link href='https://api.tiles.mapbox.com/mapbox-gl-js/v0.11.4/mapbox-gl.css' rel='stylesheet' />
	<style>
	body { margin:0; padding:0; }