Merge better-hocr

This commit is contained in:
James R. Barlow
2018-03-15 16:59:59 -07:00
5 changed files with 169 additions and 67 deletions
+1
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@@ -7,6 +7,7 @@ tasks.py
.bash_history
.ruffus_history.sqlite
.idea/
.pytest_cache/
# Package building
*.egg-info/
+1
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@@ -83,6 +83,7 @@ OCRmyPDF is limited by the Tesseract OCR engine. As such it experiences these l
OCRmyPDF is also limited by the PDF specification:
* PDF encodes the position of text glyphs but does not encode document structure. There is no markup that divides a document in sections, paragraphs, sentences, or even words (since blank spaces are not represented). As such all elements of document structure including the spaces between words must be derived heuristically. Some PDF viewers do a better job of this than others.
* Because some popular open source PDF viewers have a particularly hard time with spaces betweem words, OCRmyPDF appends a space to each text element as a workaround. While this mixes document structure with graphical information that ideally should be left to the PDF viewer to interpret, it improves compatibility with some viewers and does not cause problems for better ones.
Ghostscript also imposes some limitations:
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@@ -5,6 +5,10 @@ OCRmyPDF uses `semantic versioning <http://semver.org/>`_ for its command line i
The OCRmyPDF package itself does not contain a public API, although it is fairly stable and breaking changes are usually timed with a major release. A future release will clearly define the stable public API.
v5.7.0
------
v5.6.3
------
+159 -63
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@@ -33,6 +33,7 @@ from reportlab.lib.units import inch
from xml.etree import ElementTree
from PIL import Image
from collections import namedtuple
from math import atan, sin, cos
import re
import argparse
@@ -49,13 +50,24 @@ class HocrTransform():
"""
A class for converting documents from the hOCR format.
For details of the hOCR format, see:
http://docs.google.com/View?docid=dfxcv4vc_67g844kf
http://kba.cloud/hocr-spec/
"""
box_pattern = re.compile(r'bbox((\s+\d+){4})')
baseline_pattern = re.compile(r'''
baseline \s+
([\-\+]?\d*\.?\d*) \s+ # +/- decimal float
([\-\+]?\d+) # +/- int''', re.VERBOSE)
ligatures = str.maketrans({
'': 'ff',
'': 'ffi',
'': 'ffl',
'': 'fi',
'': 'fl',
})
def __init__(self, hocrFileName, dpi):
self.dpi = dpi
self.boxPattern = re.compile(r'bbox((\s+\d+){4})')
self.hocr = ElementTree.parse(hocrFileName)
# if the hOCR file has a namespace, ElementTree requires its use to
@@ -104,19 +116,31 @@ class HocrTransform():
text += element.tail
return text
def element_coordinates(self, element):
@classmethod
def element_coordinates(cls, element):
"""
Returns a tuple containing the coordinates of the bounding box around
an element
"""
out = (0, 0, 0, 0)
if 'title' in element.attrib:
matches = self.boxPattern.search(element.attrib['title'])
matches = cls.box_pattern.search(element.attrib['title'])
if matches:
coords = matches.group(1).split()
out = Rect._make(int(coords[n]) for n in range(4))
return out
@classmethod
def baseline(cls, element):
"""
Returns a tuple containing the baseline slope and intercept.
"""
if 'title' in element.attrib:
matches = cls.baseline_pattern.search(element.attrib['title'])
if matches:
return float(matches.group(1)), int(matches.group(2))
return (0, 0)
def pt_from_pixel(self, pxl):
"""
Returns the quantity in PDF units (pt) given quantity in pixels
@@ -124,20 +148,17 @@ class HocrTransform():
return Rect._make(
(c / self.dpi * inch) for c in pxl)
def replace_unsupported_chars(self, s):
@classmethod
def replace_unsupported_chars(cls, s):
"""
Given an input string, returns the corresponding string that:
- is available in the helvetica facetype
- does not contain any ligature (to allow easy search in the PDF file)
"""
# The 'u' before the character to replace indicates that it is a
# unicode character
s = s.replace(u"", "fl")
s = s.replace(u"", "fi")
return s
return s.translate(cls.ligatures)
def to_pdf(self, outFileName, imageFileName=None, showBoundingboxes=False,
fontname="Helvetica", invisibleText=False):
fontname="Helvetica", invisibleText=False, interwordSpaces=False):
"""
Creates a PDF file with an image superimposed on top of the text.
Text is positioned according to the bounding box of the lines in
@@ -172,57 +193,19 @@ class HocrTransform():
pdf.rect(
pt.x1, self.height - pt.y2, pt.x2 - pt.x1, pt.y2 - pt.y1,
fill=1)
found_lines = False
for line in self.hocr.findall(
".//%sspan[@class='%s']" % (self.xmlns, "ocr_line")):
found_lines = True
self._do_line(pdf, line, "ocrx_word", fontname, invisibleText,
interwordSpaces, showBoundingboxes)
# check if element with class 'ocrx_word' are available
# otherwise use 'ocr_line' as fallback
elemclass = "ocr_line"
if self.hocr.find(
".//%sspan[@class='ocrx_word']" % (self.xmlns)) is not None:
elemclass = "ocrx_word"
# itterate all text elements
# light green for bounding box of word/line
pdf.setStrokeColorRGB(1, 0, 0)
pdf.setLineWidth(0.5) # bounding box line width
pdf.setDash(6, 3) # bounding box is dashed
pdf.setFillColorRGB(0, 0, 0) # text in black
for elem in self.hocr.findall(
".//%sspan[@class='%s']" % (self.xmlns, elemclass)):
elemtxt = self._get_element_text(elem).rstrip()
elemtxt = self.replace_unsupported_chars(elemtxt)
if len(elemtxt) == 0:
continue
pxl_coords = self.element_coordinates(elem)
pt = self.pt_from_pixel(pxl_coords)
# draw the bbox border
if showBoundingboxes:
pdf.rect(
pt.x1, self.height - pt.y2, pt.x2 - pt.x1, pt.y2 - pt.y1,
fill=0)
text = pdf.beginText()
fontsize = pt.y2 - pt.y1
text.setFont(fontname, fontsize)
if invisibleText:
text.setTextRenderMode(3) # Invisible (indicates OCR text)
# set cursor to bottom left corner of bbox (adjust for dpi)
text.setTextOrigin(pt.x1, self.height - pt.y2)
# scale the width of the text to fill the width of the bbox
text.setHorizScale(
100 * (pt.x2 - pt.x1) / pdf.stringWidth(
elemtxt, fontname, fontsize))
# write the text to the page
text.textLine(elemtxt)
pdf.drawText(text)
if not found_lines:
# Tesseract did not report any lines (just words)
root = self.hocr.find(".//%sdiv[@class='%s']" % (self.xmlns, "ocr_page"))
self._do_line(pdf, root, "ocrx_word", fontname, invisibleText,
interwordSpaces, showBoundingboxes)
# put the image on the page, scaled to fill the page
if imageFileName is not None:
pdf.drawImage(imageFileName, 0, 0,
@@ -233,6 +216,117 @@ class HocrTransform():
pdf.save()
@classmethod
def polyval(cls, poly, x):
return x * poly[0] + poly[1]
def _do_line(self, pdf, line, elemclass, fontname, invisibleText,
interwordSpaces, showBoundingboxes):
pxl_line_coords = self.element_coordinates(line)
line_box = self.pt_from_pixel(pxl_line_coords)
line_height = line_box.y2 - line_box.y1
slope, pxl_intercept = self.baseline(line)
if abs(slope) < 0.005:
slope = 0.0
angle = atan(slope)
cos_a, sin_a = cos(angle), sin(angle)
text = pdf.beginText()
intercept = pxl_intercept / self.dpi * inch
# Don't allow the font to break out of the bounding box. Division by
# cos_a accounts for extra clearance between the glyph's vertical axis
# on a sloped baseline and the edge of the bounding box.
fontsize = (line_height - abs(intercept)) / cos_a
text.setFont(fontname, fontsize)
if invisibleText:
text.setTextRenderMode(3) # Invisible (indicates OCR text)
# Intercept is normally negative, so this places it above the bottom
# of the line box
baseline_y2 = self.height - (line_box.y2 + intercept)
if showBoundingboxes:
# draw the baseline in magenta, dashed
pdf.setDash()
pdf.setStrokeColorRGB(0.95, 0.65, 0.95)
pdf.setLineWidth(0.5)
# negate slope because it is defined as a rise/run in pixel
# coordinates and page coordinates have the y axis flipped
pdf.line(line_box.x1,
baseline_y2,
line_box.x2,
self.polyval((-slope, baseline_y2),
line_box.x2 - line_box.x1))
# light green for bounding box of word/line
pdf.setDash(6, 3)
pdf.setStrokeColorRGB(1, 0, 0)
text.setTextTransform(
cos_a, -sin_a, sin_a, cos_a,
line_box.x1, baseline_y2
)
pdf.setFillColorRGB(0, 0, 0) # text in black
elements = line.findall(
".//%sspan[@class='%s']" % (self.xmlns, elemclass))
for elem in elements:
elemtxt = self._get_element_text(elem).strip()
elemtxt = self.replace_unsupported_chars(elemtxt)
if elemtxt == '':
continue
pxl_coords = self.element_coordinates(elem)
box = self.pt_from_pixel(pxl_coords)
if interwordSpaces:
# if `--interword-spaces` is true, append a space
# to the end of each text element to allow simpler PDF viewers
# such as PDF.js to better recognize words in search and copy
# and paste. Do not remove space from last word in line, even
# though it would look better, because it will interfere with
# naive text extraction. \n does not work either.
elemtxt += ' '
box = Rect._make((
box.x1,
line_box.y1,
box.x2 + pdf.stringWidth(' ', fontname, line_height),
line_box.y2))
box_width = box.x2 - box.x1
font_width = pdf.stringWidth(elemtxt, fontname, fontsize)
# draw the bbox border
if showBoundingboxes:
pdf.rect(
box.x1,
self.height - line_box.y2,
box_width,
line_height,
fill=0)
# Adjust relative position of cursor
# This is equivalent to:
# text.setTextOrigin(pt.x1, self.height - line_box.y2)
# but the former generates a full text reposition matrix (Tm) in the
# content stream while this issues a "offset" (Td) command.
# .moveCursor() is relative to start of the text line, where the
# "text line" means whatever reportlab defines it as. Do not use
# use .getCursor(), since moveCursor() rather unintuitively plans
# its moves relative to .getStartOfLine().
# For skewed lines, in the text transform we set up a rotated
# coordinate system, so we don't have to account for the
# incremental offset. Surprisingly most PDF viewers can handle this.
cursor = text.getStartOfLine()
dx = box.x1 - cursor[0]
dy = baseline_y2 - cursor[1]
text.moveCursor(dx, dy)
text.setHorizScale(100 * box_width / font_width)
text.textOut(elemtxt)
pdf.drawText(text)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Convert hocr file to PDF')
parser.add_argument('-b', '--boundingboxes', action="store_true",
@@ -242,10 +336,12 @@ if __name__ == "__main__":
help='Resolution of the image that was OCRed')
parser.add_argument('-i', '--image', default=None,
help='Path to the image to be placed above the text')
parser.add_argument('--interword-spaces', action='store_true',
default=False, help='Add spaces between words')
parser.add_argument('hocrfile', help='Path to the hocr file to be parsed')
parser.add_argument(
'outputfile', help='Path to the PDF file to be generated')
args = parser.parse_args()
hocr = HocrTransform(args.hocrfile, args.resolution)
hocr.to_pdf(args.outputfile, args.image, args.boundingboxes)
hocr.to_pdf(args.outputfile, args.image, args.boundingboxes, interwordSpaces=args.interword_spaces)
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@@ -640,8 +640,8 @@ def render_hocr_page(
hocrtransform = HocrTransform(hocr, dpi)
hocrtransform.to_pdf(output_file, imageFileName=None,
showBoundingboxes=False, invisibleText=True)
showBoundingboxes=False, invisibleText=True,
interwordSpaces=True)
def flatten_groups(groups):
for obj in groups:
@@ -665,8 +665,8 @@ def render_hocr_debug_page(
hocrtransform = HocrTransform(hocr, dpi)
hocrtransform.to_pdf(output_file, imageFileName=None,
showBoundingboxes=True, invisibleText=False)
showBoundingboxes=True, invisibleText=False,
interwordSpaces=True)
def combine_layers(
infiles,