mirror of https://github.com/NaN-tic/nanscan.git
Added doxgen documentation.
Added docs in the Hamming class. Added a Translator class.
This commit is contained in:
Albert Cervera i Areny
parent
bffb921bf3
commit
63a380c442
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doc: docbook doxygen
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docbook:
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cd src && docbook2html -o ../html nanscan.docbook && cp *.png ../html
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doxygen:
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cd doxygen && doxygen nanscan.doxyfile
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.PHONY: doxygen docbook
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<address><small>Generated by <a target="_blank" href="http://www.doxygen.org/index.html">Doxygen</a></small></address>
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|
||||
margin-bottom: 6px;
|
||||
font-weight: bold;
|
||||
}
|
||||
DIV.groupText { margin-left: 16px; font-style: italic; font-size: 90% }
|
||||
BODY {
|
||||
background: white;
|
||||
color: black;
|
||||
margin-right: 20px;
|
||||
margin-left: 20px;
|
||||
}
|
||||
TD.indexkey {
|
||||
background-color: #e8eef2;
|
||||
font-weight: bold;
|
||||
padding-right : 10px;
|
||||
padding-top : 2px;
|
||||
padding-left : 10px;
|
||||
padding-bottom : 2px;
|
||||
margin-left : 0px;
|
||||
margin-right : 0px;
|
||||
margin-top : 2px;
|
||||
margin-bottom : 2px;
|
||||
border: 1px solid #CCCCCC;
|
||||
}
|
||||
TD.indexvalue {
|
||||
background-color: #e8eef2;
|
||||
font-style: italic;
|
||||
padding-right : 10px;
|
||||
padding-top : 2px;
|
||||
padding-left : 10px;
|
||||
padding-bottom : 2px;
|
||||
margin-left : 0px;
|
||||
margin-right : 0px;
|
||||
margin-top : 2px;
|
||||
margin-bottom : 2px;
|
||||
border: 1px solid #CCCCCC;
|
||||
}
|
||||
TR.memlist {
|
||||
background-color: #f0f0f0;
|
||||
}
|
||||
P.formulaDsp { text-align: center; }
|
||||
IMG.formulaDsp { }
|
||||
IMG.formulaInl { vertical-align: middle; }
|
||||
SPAN.keyword { color: #008000 }
|
||||
SPAN.keywordtype { color: #604020 }
|
||||
SPAN.keywordflow { color: #e08000 }
|
||||
SPAN.comment { color: #800000 }
|
||||
SPAN.preprocessor { color: #806020 }
|
||||
SPAN.stringliteral { color: #002080 }
|
||||
SPAN.charliteral { color: #008080 }
|
||||
.mdTable {
|
||||
border: 1px solid #868686;
|
||||
background-color: #F4F4FB;
|
||||
}
|
||||
.mdRow {
|
||||
padding: 8px 10px;
|
||||
}
|
||||
.mdescLeft {
|
||||
padding: 0px 8px 4px 8px;
|
||||
font-size: 80%;
|
||||
font-style: italic;
|
||||
background-color: #FAFAFA;
|
||||
border-top: 1px none #E0E0E0;
|
||||
border-right: 1px none #E0E0E0;
|
||||
border-bottom: 1px none #E0E0E0;
|
||||
border-left: 1px none #E0E0E0;
|
||||
margin: 0px;
|
||||
}
|
||||
.mdescRight {
|
||||
padding: 0px 8px 4px 8px;
|
||||
font-size: 80%;
|
||||
font-style: italic;
|
||||
background-color: #FAFAFA;
|
||||
border-top: 1px none #E0E0E0;
|
||||
border-right: 1px none #E0E0E0;
|
||||
border-bottom: 1px none #E0E0E0;
|
||||
border-left: 1px none #E0E0E0;
|
||||
margin: 0px;
|
||||
}
|
||||
.memItemLeft {
|
||||
padding: 1px 0px 0px 8px;
|
||||
margin: 4px;
|
||||
border-top-width: 1px;
|
||||
border-right-width: 1px;
|
||||
border-bottom-width: 1px;
|
||||
border-left-width: 1px;
|
||||
border-top-color: #E0E0E0;
|
||||
border-right-color: #E0E0E0;
|
||||
border-bottom-color: #E0E0E0;
|
||||
border-left-color: #E0E0E0;
|
||||
border-top-style: solid;
|
||||
border-right-style: none;
|
||||
border-bottom-style: none;
|
||||
border-left-style: none;
|
||||
background-color: #FAFAFA;
|
||||
font-size: 80%;
|
||||
}
|
||||
.memItemRight {
|
||||
padding: 1px 8px 0px 8px;
|
||||
margin: 4px;
|
||||
border-top-width: 1px;
|
||||
border-right-width: 1px;
|
||||
border-bottom-width: 1px;
|
||||
border-left-width: 1px;
|
||||
border-top-color: #E0E0E0;
|
||||
border-right-color: #E0E0E0;
|
||||
border-bottom-color: #E0E0E0;
|
||||
border-left-color: #E0E0E0;
|
||||
border-top-style: solid;
|
||||
border-right-style: none;
|
||||
border-bottom-style: none;
|
||||
border-left-style: none;
|
||||
background-color: #FAFAFA;
|
||||
font-size: 80%;
|
||||
}
|
||||
.memTemplItemLeft {
|
||||
padding: 1px 0px 0px 8px;
|
||||
margin: 4px;
|
||||
border-top-width: 1px;
|
||||
border-right-width: 1px;
|
||||
border-bottom-width: 1px;
|
||||
border-left-width: 1px;
|
||||
border-top-color: #E0E0E0;
|
||||
border-right-color: #E0E0E0;
|
||||
border-bottom-color: #E0E0E0;
|
||||
border-left-color: #E0E0E0;
|
||||
border-top-style: none;
|
||||
border-right-style: none;
|
||||
border-bottom-style: none;
|
||||
border-left-style: none;
|
||||
background-color: #FAFAFA;
|
||||
font-size: 80%;
|
||||
}
|
||||
.memTemplItemRight {
|
||||
padding: 1px 8px 0px 8px;
|
||||
margin: 4px;
|
||||
border-top-width: 1px;
|
||||
border-right-width: 1px;
|
||||
border-bottom-width: 1px;
|
||||
border-left-width: 1px;
|
||||
border-top-color: #E0E0E0;
|
||||
border-right-color: #E0E0E0;
|
||||
border-bottom-color: #E0E0E0;
|
||||
border-left-color: #E0E0E0;
|
||||
border-top-style: none;
|
||||
border-right-style: none;
|
||||
border-bottom-style: none;
|
||||
border-left-style: none;
|
||||
background-color: #FAFAFA;
|
||||
font-size: 80%;
|
||||
}
|
||||
.memTemplParams {
|
||||
padding: 1px 0px 0px 8px;
|
||||
margin: 4px;
|
||||
border-top-width: 1px;
|
||||
border-right-width: 1px;
|
||||
border-bottom-width: 1px;
|
||||
border-left-width: 1px;
|
||||
border-top-color: #E0E0E0;
|
||||
border-right-color: #E0E0E0;
|
||||
border-bottom-color: #E0E0E0;
|
||||
border-left-color: #E0E0E0;
|
||||
border-top-style: solid;
|
||||
border-right-style: none;
|
||||
border-bottom-style: none;
|
||||
border-left-style: none;
|
||||
color: #606060;
|
||||
background-color: #FAFAFA;
|
||||
font-size: 80%;
|
||||
}
|
||||
.search { color: #003399;
|
||||
font-weight: bold;
|
||||
}
|
||||
FORM.search {
|
||||
margin-bottom: 0px;
|
||||
margin-top: 0px;
|
||||
}
|
||||
INPUT.search { font-size: 75%;
|
||||
color: #000080;
|
||||
font-weight: normal;
|
||||
background-color: #e8eef2;
|
||||
}
|
||||
TD.tiny { font-size: 75%;
|
||||
}
|
||||
a {
|
||||
color: #1A41A8;
|
||||
}
|
||||
a:visited {
|
||||
color: #2A3798;
|
||||
}
|
||||
.dirtab { padding: 4px;
|
||||
border-collapse: collapse;
|
||||
border: 1px solid #84b0c7;
|
||||
}
|
||||
TH.dirtab { background: #e8eef2;
|
||||
font-weight: bold;
|
||||
}
|
||||
HR { height: 1px;
|
||||
border: none;
|
||||
border-top: 1px solid #206dcd;
|
||||
}
|
||||
|
||||
28
hamming.py
28
hamming.py
|
|
@ -16,20 +16,36 @@
|
|||
# Free Software Foundation, Inc.,
|
||||
# 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
|
||||
|
||||
from translator import *
|
||||
|
||||
## @brief This class calculates the Hamming distance between two strings.
|
||||
#
|
||||
# When two given characters differ completely they add 2 to the final distance
|
||||
# between the strings. Two 'similar' characters (defined by the given translator
|
||||
# or the default translator if none specified) will add 1 and 0 for two
|
||||
# identical characters.
|
||||
#
|
||||
# This distinction of 'similar' and 'different' characters can be useful to
|
||||
# 'correct' OCR defects.
|
||||
class Hamming:
|
||||
|
||||
## @brief Calculates Hamming distance between two strings. Optionally a
|
||||
# translator can be provieded. A default translator will be used if none
|
||||
# specified.
|
||||
@staticmethod
|
||||
def simplify( text ):
|
||||
return text
|
||||
def hamming( text1, text2, translator = None ):
|
||||
if not translator:
|
||||
translator = Translator()
|
||||
|
||||
transText1 = translator.translated( text1 )
|
||||
transText2 = translator.translated( text2 )
|
||||
|
||||
@staticmethod
|
||||
def hamming( text1, text2 ):
|
||||
value = 0
|
||||
size = min(len(text1), len(text2))
|
||||
for i in range(size):
|
||||
if text1[i] == text2[i]:
|
||||
continue
|
||||
if Hamming.simplify( text1[i] ) == Hamming.simplify( text2[i] ):
|
||||
if transText1[i] == transText2[i]:
|
||||
value += 1
|
||||
continue
|
||||
value += 2
|
||||
|
|
@ -37,6 +53,7 @@ class Hamming:
|
|||
return value
|
||||
|
||||
if __name__ == '__main__':
|
||||
print Hamming.hamming( 'si', '$l' )
|
||||
print Hamming.hamming( 'abc', 'abc' )
|
||||
print Hamming.hamming( 'abcabc', 'abc' )
|
||||
print Hamming.hamming( 'abcdef', 'abc' )
|
||||
|
|
@ -44,3 +61,4 @@ if __name__ == '__main__':
|
|||
print Hamming.hamming( 'bcdef', 'abc' )
|
||||
for x in range(10000):
|
||||
Hamming.hamming( 'text de la plantilla', 'text llarg que pot ser del document que tractem actualment' )
|
||||
|
||||
|
|
|
|||
|
|
@ -27,20 +27,6 @@ from trigram import *
|
|||
|
||||
import tempfile
|
||||
|
||||
# Smarter processing models and functions
|
||||
def translate(text):
|
||||
txt = text
|
||||
f=codecs.open('addons/smart_attach/translations.txt', 'r', 'utf-8')
|
||||
if not f:
|
||||
print "File not found"
|
||||
return txt
|
||||
translations = f.readlines()
|
||||
f.close()
|
||||
for x in translations:
|
||||
for y in x[1:]:
|
||||
txt = txt.replace( y, x[0] )
|
||||
return txt
|
||||
|
||||
class Analyze(QThread):
|
||||
def __init__(self, analyzer, image, parent=None):
|
||||
QThread.__init__(self, parent)
|
||||
|
|
@ -185,3 +171,20 @@ class Recognizer(QObject):
|
|||
print "Template %s has score %s with offset (%s,%s)" % (template.name, score, xOffset, yOffset)
|
||||
return best
|
||||
|
||||
#def findTemplateOffset( self, template ):
|
||||
#if not template.boxes:
|
||||
#return QPoint( 0, 0 )
|
||||
#
|
||||
#lines = self.ocr.textLines()
|
||||
#
|
||||
#for templateBox in template.boxes:
|
||||
#if templateBox.type != 'matcher':
|
||||
#continue
|
||||
#
|
||||
#for line in lines:
|
||||
#templateBox.text
|
||||
#
|
||||
|
||||
# Trigram.trigram( lines[0],
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -0,0 +1,7 @@
|
|||
lií
|
||||
aõ
|
||||
e€
|
||||
s$ş
|
||||
oº0ø
|
||||
yv
|
||||
bh
|
||||
|
|
@ -0,0 +1,65 @@
|
|||
# Copyright (C) 2008 by Albert Cervera i Areny
|
||||
# albert@nan-tic.com
|
||||
#
|
||||
# This program is free software; you can redistribute it and/or modify
|
||||
# it under the terms of the GNU General Public License as published by
|
||||
# the Free Software Foundation; either version 2 of the License, or
|
||||
# (at your option) any later version.
|
||||
#
|
||||
# This program is distributed in the hope that it will be useful,
|
||||
# but WITHOUT ANY WARRANTY; without even the implied warranty of
|
||||
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
||||
# GNU General Public License for more details.
|
||||
#
|
||||
# You should have received a copy of the GNU General Public License
|
||||
# along with this program; if not, write to the
|
||||
# Free Software Foundation, Inc.,
|
||||
# 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
|
||||
|
||||
import codecs
|
||||
import os
|
||||
|
||||
## @brief This class provides a simple way of converting similar characters
|
||||
# to the same one.
|
||||
#
|
||||
# This can proof useful to overcome OCR errors and is used in Hamming class,
|
||||
# for example. Default translation file provides families of characters. For
|
||||
# example 's', 'S', '$' are in the same one because the OCR may sometimes
|
||||
# recognize an 'S' as '$'. 'l', 'i' and '|' are in another family.
|
||||
#
|
||||
# The text 'eli a sa|de$' will be converted to 'ell a saldes'. The translator
|
||||
# replaces any element of a family by the first character of the family it is in.
|
||||
class Translator:
|
||||
def __init__(self):
|
||||
self.translations = None
|
||||
|
||||
## @brief Sets the translation list.
|
||||
#
|
||||
# The list should follow the following structure: [ 'sS$', 'li|', ... ]
|
||||
def setTranslations(self, translations):
|
||||
self.translations = translations
|
||||
|
||||
## @brief Loads the translation list from the given file.
|
||||
#
|
||||
# Each character family must be in a different line. See the default
|
||||
# translations.txt file if you need an example.
|
||||
def load(self, fileName):
|
||||
f=codecs.open(fileName, 'r', 'utf-8')
|
||||
if not f:
|
||||
print "File not found"
|
||||
return txt
|
||||
self.translations = f.readlines()
|
||||
f.close()
|
||||
|
||||
## @brief Returns the given text replacing each character with the first
|
||||
# character of its family or itself if it's not in any character family.
|
||||
def translated(self, text):
|
||||
if self.translations == None:
|
||||
self.load( os.path.join( os.path.abspath(os.path.dirname(__file__)), 'translations.txt' ) )
|
||||
|
||||
result = text
|
||||
for x in self.translations:
|
||||
for y in x[1:]:
|
||||
result = result.replace( y, x[0] )
|
||||
return result
|
||||
|
||||
Loading…
Reference in New Issue