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" />

ryanfb

Lace hOCR + PDF recombination

Use the lace branch of my fork of HocrConverter: https://github.com/ryanfb/HocrConverter/tree/lace (make sure you git pull to get the latest changes)

Download and compile jbig2enc in your script path. Modify pdf.py to use 300 instead of 72 dpi.

Example run:

./lace2pdf.sh xenophon04xeno

acairns

#!/bin/sh

if [ -z "$1" ]
    then
        echo "No draft file found"
        exit
fi

mv $1 _posts/`date +"%Y-%m-%d"`-`basename $1`

allanmac

// -*- compile-command: "nvcc -m 32 -arch sm_35 -Xptxas=-v,-abi=no -cubin sha256.cu"; -*-

//
// Copyright 2013 Allan MacKinnon <allanmac@alum.mit.edu>
//
// Permission is hereby granted, free of charge, to any person obtaining
// a copy of this software and associated documentation files (the
// "Software"), to deal in the Software without restriction, including
// without limitation the rights to use, copy, modify, merge, publish,
// distribute, sublicense, and/or sell copies of the Software, and to

acdha

def ocr_file(filename, languages, output_base, temp_dir):
    log.info("Launching tesseract on %s", filename)
    output = subprocess.check_output(['tesseract', filename, output_base,
                                      '-l', '+'.join(languages), TESSERACT_CONFIG],
                                     cwd=temp_dir,
                                     stderr=subprocess.STDOUT)

    with OCR_STORAGE.open('%s/%s/%s.log' % (item_id, group, index), 'w') as log_f:
        log_f.write(output)

mcewand

#!/bin/python

# 1. Save this file to your local machine where you want to save the files
# 2. Change 'manuscript' to the one you want
# 3. Change 'lastItem' to the last numbered item of the text section of the manuscript
# 4. Add a directory 'jpgs' that the images will be stored in
# 5. Run "python PennInHand_grabber.py"

import sys
import urllib

bad-usenet-post-extractor.rb

#!/usr/bin/env ruby

require 'pty'
require 'expect'

$rar_divider = "-------------------------------------------------------------------------------\n"

def check_rar_contents(file)
  $stderr.puts "Checking RAR contents for: #{file}"
  rar_contents = `unrar l -v "#{file}" 2>&1`.split($rar_divider)

ryanfb

diff --git classify/trainingsampleset.cpp classify/trainingsampleset.cpp
index afbf3f4..6121395 100644
--- classify/trainingsampleset.cpp
+++ classify/trainingsampleset.cpp
@@ -693,6 +693,8 @@ void TrainingSampleSet::ComputeCanonicalSamples(const IntFeatureMap& map,
       fcinfo.canonical_sample = fcinfo.samples[0];
       fcinfo.canonical_dist = 0.0f;
       for (int i = 0; i < fcinfo.samples.size(); ++i) {
+        #pragma omp parallel
+        {

VladimirAlexiev

# Endpoint http://vocab.getty.edu/sparql
select ?t ?name (count(*) as ?c) {
  ?x gvp:placeType ?t. ?t gvp:prefLabelGVP/xl:literalForm ?name
} group by ?t ?name

# 0. Inspired by https://twitter.com/paregorios/status/568513448130187264
# 1. This includes place types AND cultures/styles (eg "religious center" and "Maya")
# 2. Exploring the AAT hierarchy above these types could also be interesting
# 3. We also provide TGN counts as per Mar 2015
# 4. The query is a bit expensive (1.2M places, 2.7M type instances), so be nice and use the attached TSV

bruce30262

You might want to read this to get an introduction to armel vs armhf.

If the below is too much, you can try Ubuntu-ARMv7-Qemu but note it contains non-free blobs.

Running ARM programs under linux (without starting QEMU VM!)

First, cross-compile user programs with GCC-ARM toolchain. Then install qemu-arm-static so that you can run ARM executables directly on linux

If there's no qemu-arm-static in the package list, install qemu-user-static instead