rsimon

import OpenSeadragon from 'openseadragon';
import * as Annotorious from '@recogito/annotorious-openseadragon';

import '@recogito/annotorious-openseadragon/dist/annotorious.min.css';

/*************************************************************************
 * 
 * Basic concept for this is from the official OpenCV docs: 
 * https://docs.opencv.org/3.4/dc/dcf/tutorial_js_contour_features.html
 * 

thomasdullien

"""
  Simple, hacked-up image similarity search using Tensorflow + the inception
  CNN as feature extractor and ANNoy for nearest neighbor search.

  Requires Tensorflow and ANNoy.

  Based on gist code under
    https://gist.github.com/david90/e98e1c41a0ebc580e5a9ce25ff6a972d
"""
from annoy import AnnoyIndex

daniel-dgi

~ $ curl -X POST "http://127.0.0.1:8080/fcrepo/rest/"
http://127.0.0.1:8080/fcrepo/rest/aa/71/6b/1f/aa716b1f-0021-4ed3-9179-79c4c99f9722

~ $ curl -X POST "http://127.0.0.1:8080/fcrepo/rest/"
http://127.0.0.1:8080/fcrepo/rest/b4/b8/05/e3/b4b805e3-4570-4d07-a862-ddccf7d87a00

indirect.ttl
============
@prefix ldp: <http://www.w3.org/ns/ldp#>
@prefix pcdm: <http://pcdm.org/models#>

daniel-dgi

$fedora = Chullo::create('http://127.0.0.1:8080/fcrepo/rest');
$pcdm = new Porkpie($fedora);

$uri = $pcdm->createObject();
echo $uri;
echo "\n";
$preservation_master_path = "/Users/danny/Desktop/memes_collection/condascending_wonka/oh_you're_an_engineer.jpg";
$thumbnail_path = "/Users/danny/Desktop/memes_collection/condascending_wonka/condascending_wonka_thumbnail.png";
$mods_path = "/Users/danny/Desktop/memes_collection/condascending_wonka/oh_you're_an_engineer.xml";
$standard = "http://www.loc.gov/mods/v3";

ruebot

<?xml version="1.0" encoding="UTF-8"?>
<Policy xmlns="urn:oasis:names:tc:xacml:1.0:policy"
        xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
        PolicyId="deny-apim-if-not-localhost"
        RuleCombiningAlgId="urn:oasis:names:tc:xacml:1.0:rule-combining-algorithm:first-applicable">
  <Description>deny apim access if client ip address is not 127.0.0.1 (or IPv6 equivalent)</Description>
  <Target>
    <Subjects>
      <AnySubject/>
    </Subjects>

cudevmaxwell

Striking Out with Islandora 2.x, Fedora 4.x, and Apache Camel

Kevin Bowrin, 2015-02-27

A few days ago, Nick Ruest and the Islandora Foundation made available the technical documentation for the upcoming version of Islandora. The Islandora Foundation should be commended for their transparency and community building efforts. Even in this early stage of Islandora 2.x, the documentation has a great introduction to Islandora, the goals of the project, the planned architecture, and installation instructions for their Vagrant development box.

The Technical Design for the next version of Islandora reminds me of something Mike Giarlo said, when I was waxing on about my dream Digital Library / R

srijanshetty

We’re now going to clean up disk space on the VM so when we package it into a new Vagrant box, it’s as clean as possible. First, remove APT cache

$ sudo apt-get clean

Then, “zero out” the drive (this is for Ubuntu):

$ sudo dd if=/dev/zero of=/EMPTY bs=1M

stain

{ "@context": {
    "rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
    "rdfs": "http://www.w3.org/2000/01/rdf-schema#",
    "owl": "http://www.w3.org/2002/07/owl#",
    "express": "http://example.com/express#",
    "defines": {
       "@reverse": "rdfs:isDefinedBy"
    },
    "propertyOf": { 
        "@id": "rdfs:domain",

tfmorris

<?xml version='1.0' encoding='utf-8'?>
<xsl:stylesheet version='1.0' xmlns:xsl='http://www.w3.org/1999/XSL/Transform'>
<!-- 
Author: Rod Page
Source: http://iphylo.blogspot.com/2011/07/correcting-ocr-using-hocr-firefox.html#comment-400434491
-->
<xsl:output method='html' version='1.0' encoding='utf-8' indent='yes'/>


<xsl:variable name="scale" select="800 div //page/@width" />

ragingwind

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

• Introduce Gizzard of Twitter - 트위터의 새로운 분산 관리 라이브러리 Gizzard를 소개합니다.
• The Architecture Twitter Uses to Deal with 150M Active Users, 300K QPS, a 22 MB/S Firehose, and Send Tweets in Under 5 Seconds
• Scaling Twitter: Making Twitter 10000 Percent Faster