cneud

Image Preprocessing

• ImageMagick C
• kraken Python
• ocrobin Python
• ocrodeg Python
• ocropy Python
• ocropy2 Python
• ocrorot Python
• prima-image-lib C++
• unpaper C

cneud

convert -density 300 -depth 8 -alpha Off -limit area 1 foo.pdf foo_%04d.tif

PonteIneptique

<?xml version="1.0" encoding="UTF-8"?>
<xsl:stylesheet xmlns:xsl="http://www.w3.org/1999/XSL/Transform"
    xmlns:xs="http://www.w3.org/2001/XMLSchema"
    xmlns:saxon="http://saxon.sf.net/"
    xmlns:my="foo.bar" 
    exclude-result-prefixes="xs my saxon uuid"
    xpath-default-namespace="http://www.w3.org/1999/xhtml"
    version="2.0"
    
    xmlns:uuid="java:java.util.UUID">

mikegerber

_jpageviewer_jar=~/opt/jpageviewer/JPageViewer.jar
if [ -e "$_jpageviewer_jar" ]; then
  jpageviewer() {
    # --resolve-dir defaults to the file's directory
    _jpageviewer_resolve_dir=`dirname "$1"`
    # ... unless a mets.xml file exists one directory down (OCR-D workspace)
    if [ -e "$_jpageviewer_resolve_dir"/../mets.xml ]; then
      _jpageviewer_resolve_dir="$_jpageviewer_resolve_dir"/..
    fi

Witiko

# -*- coding:utf-8 -*-

from itertools import dropwhile
import json
import re
import sys

import matplotlib.pyplot as plt

b2m

FROM python:3.7

RUN apt-get update \
    && apt-get install -y --no-install-recommends libcairo2-dev libgtk-3-bin libgtk-3-dev libglib2.0-dev libgtksourceview-3.0-dev libgirepository1.0-dev gir1.2-webkit2-4.0 pkg-config cmake \
    && pip3 install -U setuptools --use-feature=2020-resolver \
    && pip3 install browse-ocrd --use-feature=2020-resolver

ENV GDK_BACKEND broadway
ENV BROADWAY_DISPLAY :5

b2m

Performance analysis for dinglehopper using hyperfine

To estimate the impact of some changes to dinglehopper I used hyperfine to benchmark the behaviour.

The commands to run a docker container to execute the benchmarks are listed in performance-docker.sh.

The commands needed to prepare, execute and analyse the benchmark are listed in performance.sh.

cboulanger

#! /usr/bin/env bash

# see https://ryanfb.github.io/etc/2015/03/16/automatic_evaluation_of_ocr_quality.html
# using https://github.com/saffsd/langid.py
# install with pip install langid and add the scorelines.sh & ocrquality.rb scripts from the blog entry in the same directory

# The PDF source files, which start with a DOI, adapt this for your case
FILE_SELECTOR=/path/to/source/dir/*.pdf
# The path to the directory to which the selected documents should be copied
TARGET=/path/to/target/dir

cboulanger

import {default as fetch} from 'node-fetch';
const { pdf } = require("pdf-to-img");
import {tmpdir} from "os";
import {createWriteStream, createReadStream} from 'fs';
import * as fsp from 'fs/promises'
import * as archiver from 'archiver';
import {ArchiverError} from "archiver";
import * as path from "path";
import {Parser, Builder} from "xml2js";

jbarth-ubhd

#!/usr/bin/perl
use strict;
use utf8;
use XML::LibXML;
use XML::Quote;
binmode STDOUT, ":utf8";

my $dom=XML::LibXML->load_xml(location=>$ARGV[0]);
my $root=$dom->documentElement;