hocrTransform: code cleanup
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+43
-48
@@ -4,7 +4,7 @@ from reportlab.lib.units import inch
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from lxml import etree as ElementTree
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import Image, re, sys
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class HocrConverter():
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class hocrTransform():
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"""
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A class for converting documents to/from the hOCR format.
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For details of the hOCR format, see:
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@@ -13,16 +13,20 @@ class HocrConverter():
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http://code.google.com/p/hocr-tools/
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Basic usage:
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Create a PDF from an hOCR file and an image:
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hocr = HocrConverter("path/to/hOCR/file")
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hocr = hocrTransform("path/to/hOCR/file")
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hocr.to_pdf("path/to/image/file", "path/to/output/file")
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"""
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def __init__(self, hocrFileName = None):
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def __init__(self, hocrFileName = None, dpi=300):
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self.hocr = None
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self.dpi = dpi
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self.xmlns = ''
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self.boxPattern = re.compile('bbox((\s+\d+){4})')
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if hocrFileName is not None:
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self.parse_hocr(hocrFileName)
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else:
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print "No hocr file provided. exiting"
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exit
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def __str__(self):
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"""
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Return the textual content of the HTML body
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@@ -74,54 +78,42 @@ class HocrConverter():
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self.xmlns = matches.group(1)
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else:
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self.xmlns = ''
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def pxl2pt(self, pxl):
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"""
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Returns the length in pt given length in pxl
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"""
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return float(pxl)/self.dpi*inch
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def to_pdf(self, imageFileName, outFileName, fontname="Courier"):
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"""
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Creates a PDF file with an image superimposed on top of the text.
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Text is positioned according to the bounding box of the lines in
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the hOCR file.
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The image need not be identical to the image used to create the hOCR file.
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It can be scaled, have a lower resolution, different color mode, etc.
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It can have a lower resolution, different color mode, etc.
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"""
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if self.hocr is None:
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print "No hocr file provided. exiting"
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exit
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im = Image.open(imageFileName)
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if 'dpi' in im.info:
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width = float(im.size[0])/im.info['dpi'][0]
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height = float(im.size[1])/im.info['dpi'][1]
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else:
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# we have to make a reasonable guess
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# set to None for now and try again using info from hOCR file
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width = height = None
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# get dimensions of the OCR, which may not match the image
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ocr_dpi = (300, 300) # a default, in case we can't find it
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# get dimension of the OCRed image
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for div in self.hocr.findall(".//%sdiv[@class='ocr_page']"%(self.xmlns)):
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coords = self.element_coordinates(div)
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ocrwidth = coords[2]-coords[0]
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ocrheight = coords[3]-coords[1]
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if width is None:
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# no dpi info with the image
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# assume OCR was done at 300 dpi
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width = ocrwidth/300
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height = ocrheight/300
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ocr_dpi = (ocrwidth/width, ocrheight/height)
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width = self.pxl2pt(coords[2]-coords[0])
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height = self.pxl2pt(coords[3]-coords[1])
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break # there shouldn't be more than one, and if there is, we don't want it
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if width is None:
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# no dpi info within the image, and no help from the hOCR file either
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# this will probably end up looking awful, so issue a warning
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print "Warning: DPI unavailable for image %s. Assuming 300 DPI."%(imageFileName)
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width = float(im.size[0])/300
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height = float(im.size[1])/300
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# no width and heigh definition in the ocr_image element of the hocr file
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# assuming page size is A4
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print "page width and height not available in %s. Assuming A4."%(imageFileName)
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width = 21*2.54*inch
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height = 29.6*2.54*inch
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# create the PDF file
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pdf = Canvas(outFileName, pagesize=(width*inch, height*inch), pageCompression=1) # page size in points (1/72 in.)
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pdf = Canvas(outFileName, pagesize=(width, height), pageCompression=1) # page size in points (1/72 in.)
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# put the image on the page, scaled to fill the page
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#pdf.drawInlineImage(im, 0, 0, width=width*inch, height=height*inch)
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#pdf.drawInlineImage(im, 0, 0, width=width, height=height)
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# check if element with class 'ocrx_word' are available
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# otherwise use 'ocr_line' as fallback
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@@ -129,7 +121,7 @@ class HocrConverter():
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if self.hocr.find(".//%sspan[@class='ocrx_word']" %(self.xmlns)) is not None:
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elemclass="ocrx_word"
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# itterate all text elements
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for elem in self.hocr.findall(".//%sspan[@class='%s']" % (self.xmlns, elemclass)):
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elemtxt=self._get_element_text(elem).rstrip()
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@@ -137,23 +129,26 @@ class HocrConverter():
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continue
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coords = self.element_coordinates(elem)
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x1=self.pxl2pt(coords[0])
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y1=self.pxl2pt(coords[1])
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x2=self.pxl2pt(coords[2])
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y2=self.pxl2pt(coords[3])
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# compute font size according to bbox coordinates
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fontsize=(coords[3]-coords[1])/(ocr_dpi[1]*(0.35146/25.4))
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fontsize=self.pxl2pt(coords[3]-coords[1])
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# draw the bbox border
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#pdf.rect((float(coords[0])/ocr_dpi[0])*inch, (height*inch)-(float(coords[3])/ocr_dpi[1])*inch,(float(coords[2]-coords[0])/ocr_dpi[0])*inch, float(coords[3]-coords[1])/ocr_dpi[1]*inch, fill=0)
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pdf.rect(x1, height-y2, x2-x1, y2-y1, fill=0)
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text = pdf.beginText()
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text.setFont(fontname, fontsize)
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#text.setTextRenderMode(3) # invisible
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# set cursor to bottom left corner of bbox (adjust for dpi)
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text.setTextOrigin((float(coords[0])/ocr_dpi[0])*inch, (height*inch)-(float(coords[3])/ocr_dpi[1])*inch)
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text.setTextOrigin(x1, height-y2)
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# scale the width of the text to fill the width of the bbox
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text.setHorizScale((((float(coords[2])/ocr_dpi[0]*inch)-(float(coords[0])/ocr_dpi[0]*inch))/pdf.stringWidth(elemtxt, fontname, fontsize))*100)
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text.setHorizScale(100*(x2-x1)/pdf.stringWidth(elemtxt, fontname, fontsize))
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# write the text to the page
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text.textLine(elemtxt)
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@@ -165,7 +160,7 @@ class HocrConverter():
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if __name__ == "__main__":
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if len(sys.argv) < 4:
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print 'Usage: python HocrConverter.py inputHocrFile inputImageFile outputPdfFile'
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print 'Usage: python hocrTransform.py inputHocrFile inputImageFile outputPdfFile'
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sys.exit(1)
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hocr = HocrConverter(sys.argv[1])
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hocr = hocrTransform(sys.argv[1])
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hocr.to_pdf(sys.argv[2], sys.argv[3])
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