OCRmyPDF/src/leptonica.py

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Python
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Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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#!/usr/bin/env python2
# -*- coding: utf-8 -*-
#
# © 2013-14: jbarlow83 from Github (https://github.com/jbarlow83)
#
#
# Use Leptonica to detect find and remove page skew. Leptonica uses the method
# of differential square sums, which its author claim is faster and more robust
# than the Hough transform used by ImageMagick.
from __future__ import print_function, absolute_import, division
import argparse
import ctypes as C
import sys
import os
from tempfile import TemporaryFile
def stderr(*objs):
"""Python 2/3 compatible print to stderr.
"""
print("leptonica.py:", *objs, file=sys.stderr)
from ctypes.util import find_library
lept_lib = find_library('lept')
if not lept_lib:
stderr("Could not find the Leptonica library")
sys.exit(3)
try:
lept = C.cdll.LoadLibrary(lept_lib)
except Exception:
stderr("Could not load the Leptonica library from %s", lept_lib)
sys.exit(3)
class _PIXCOLORMAP(C.Structure):
"""struct PixColormap from Leptonica src/pix.h
"""
_fields_ = [
("array", C.c_void_p),
("depth", C.c_int32),
("nalloc", C.c_int32),
("n", C.c_int32)
]
class _PIX(C.Structure):
"""struct Pix from Leptonica src/pix.h
"""
_fields_ = [
("w", C.c_uint32),
("h", C.c_uint32),
("d", C.c_uint32),
("wpl", C.c_uint32),
("refcount", C.c_uint32),
("xres", C.c_int32),
("yres", C.c_int32),
("informat", C.c_int32),
("text", C.POINTER(C.c_char)),
("colormap", C.POINTER(_PIXCOLORMAP)),
("data", C.POINTER(C.c_uint32))
]
PIX = C.POINTER(_PIX)
lept.pixRead.argtypes = [C.c_char_p]
lept.pixRead.restype = PIX
lept.pixScale.argtypes = [PIX, C.c_float, C.c_float]
lept.pixScale.restype = PIX
lept.pixDeskew.argtypes = [PIX, C.c_int32]
lept.pixDeskew.restype = PIX
lept.pixWriteImpliedFormat.argtypes = [C.c_char_p, PIX, C.c_int32, C.c_int32]
lept.pixWriteImpliedFormat.restype = C.c_int32
lept.pixDestroy.argtypes = [C.POINTER(PIX)]
lept.pixDestroy.restype = None
lept.getLeptonicaVersion.argtypes = []
lept.getLeptonicaVersion.restype = C.c_char_p
class LeptonicaErrorTrap(object):
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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"""Context manager to trap errors reported by Leptonica.
Leptonica's error return codes are unreliable to the point of being
almost useless. It does, however, write errors to stderr provided that is
not disabled at its compile time. Fortunately this is done using error
macros so it is very self-consistent.
This context manager redirects stderr to a temporary file which is then
read and parsed for error messages. As a side benefit, debug messages
from Leptonica are also suppressed.
"""
def __enter__(self):
self.tmpfile = TemporaryFile()
# Save the old stderr, and redirect stderr to temporary file
self.old_stderr_fileno = os.dup(sys.stderr.fileno())
os.dup2(self.tmpfile.fileno(), sys.stderr.fileno())
return
def __exit__(self, exc_type, exc_value, traceback):
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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# Restore old stderr
os.dup2(self.old_stderr_fileno, sys.stderr.fileno())
# Get data from tmpfile (in with block to ensure it is closed)
with self.tmpfile as tmpfile:
tmpfile.seek(0) # Cursor will be at end, so move back to beginning
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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leptonica_output = tmpfile.read().decode(errors='replace')
# If there are Python errors, let them bubble up
if exc_type:
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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stderr(leptonica_output)
return False
# If there are Leptonica errors, wrap them in Python excpetions
if 'Error' in leptonica_output:
if 'image file not found' in leptonica_output:
raise LeptonicaIOError()
if 'pixWrite: stream not opened' in leptonica_output:
raise LeptonicaIOError()
raise LeptonicaError(leptonica_output)
return False
class LeptonicaError(Exception):
pass
class LeptonicaIOError(LeptonicaError):
pass
def pixRead(filename):
"""Load an image file into a PIX object.
Leptonica can load TIFF, PNM (PBM, PGM, PPM), PNG, and JPEG. If loading
fails then the object will wrap a C null pointer.
"""
with LeptonicaErrorTrap():
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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return lept.pixRead(filename.encode(sys.getfilesystemencoding()))
def pixScale(pix, scalex, scaley):
"""Returns the pix object rescaled according to the proportions given."""
with LeptonicaErrorTrap():
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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return lept.pixScale(pix, scalex, scaley)
def pixDeskew(pix, reduction_factor=0):
"""Returns the deskewed pix object.
A clone of the original is returned when the algorithm cannot find a skew
angle with sufficient confidence.
reduction_factor -- amount to downsample (0 for default) when searching
for skew angle
"""
with LeptonicaErrorTrap():
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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return lept.pixDeskew(pix, reduction_factor)
def pixWriteImpliedFormat(filename, pix, jpeg_quality=0, jpeg_progressive=0):
"""Write pix to the filename, with the extension indicating format.
jpeg_quality -- quality (iff JPEG; 1 - 100, 0 for default)
jpeg_progressive -- (iff JPEG; 0 for baseline seq., 1 for progressive)
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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"""
fileroot, extension = os.path.splitext(filename)
fix_pnm = False
if extension.lower() in ('.pbm', '.pgm', '.ppm'):
# Leptonica does not process handle these extensions correctly, but
# does handle .pnm correctly. Add another .pnm suffix.
filename += '.pnm'
fix_pnm = True
with LeptonicaErrorTrap():
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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lept.pixWriteImpliedFormat(
filename.encode(sys.getfilesystemencoding()),
pix, jpeg_quality, jpeg_progressive)
if fix_pnm:
from shutil import move
move(filename, filename[:-4]) # Remove .pnm suffix
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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def pixDestroy(pix):
"""Destroy the pix object.
Function signature is pixDestroy(struct Pix **), hence C.byref() to pass
the address of the pointer.
"""
with LeptonicaErrorTrap():
Implement ctypes wrapper around Leptonica to access its deskew function A few design notes: Leptonica's deskew is far superior to ImageMagick's convert -deskew command -- around 30-40x faster. Subjectively the output appears to this contributor to be of higher quality as well. The difference is the algorithm: ImageMagick uses the complex Hough transform to find the skew angle, while Leptonica uses the simpler method, Postl's variance of differential line sums -- conceptually, shear the image and check for straight horizontal. In this case simplicity wins. Finding the skew angle is the bulk of the work. Leptonica's author explains the advantages of his approach here: http://www.leptonica.com/skew-measurement.html Leptonica is the low-level library that Tesseract depends on. Hence, this project already depends on Leptonica. Leptonica can read and write most common image file types on its own. Unfortunately its error handling is poor: it seldom returns any meaningful error codes. The best it manages is writing messages to stderr, which in the context of a verbose script is just confusing since the error's source is not indicated. The problem is compounded by Tesseract's use of Leptonica, which will produce exactly the same errors in some cases. So we trap stderr between calls to Leptonica and parse it for a few different types of error message. leptonica.py is Python 2/3 compatible and set up to provide access to other Leptonica functions as needed. Of particular interest are its orientation detection (including flip and rotation errors) which it does by comparing text ascenders to descenders. There is a PyPI "pylepthonica" package, however it is out of date by a few years, and it implements all of Leptonica with Python wrappers -- so it is massive, with one .py file at 2.5 MB. This module is loosely inspired by pyleptonica but more modern, up to date, and contains only limited functionality.
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lept.pixDestroy(C.byref(pix))
def getLeptonicaVersion():
"""Get Leptonica version string.
Caveat: Leptonica expects the caller to free this memory. We don't,
since that would involve binding to libc to access libc.free(),
a pointless effort to reclaim 100 bytes of memory.
"""
return lept.getLeptonicaVersion().decode()
def deskew(args):
try:
pix_source = pixRead(args.infile)
except LeptonicaIOError:
stderr("Failed to open file: %s" % args.infile)
sys.exit(2)
if args.dpi < 150:
reduction_factor = 1 # Don't downsample too much if DPI is already low
else:
reduction_factor = 0 # Use default
pix_deskewed = pixDeskew(pix_source, reduction_factor)
try:
pixWriteImpliedFormat(args.outfile, pix_deskewed)
except LeptonicaIOError:
stderr("Failed to open destination file: %s" % args.outfile)
sys.exit(5)
pixDestroy(pix_source)
pixDestroy(pix_deskewed)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description="Python wrapper to access Leptonica")
subparsers = parser.add_subparsers(title='commands',
description='supported operations')
parser_deskew = subparsers.add_parser('deskew')
parser_deskew.add_argument('-r', '--dpi', dest='dpi', action='store',
type=int, default=300, help='input resolution')
parser_deskew.add_argument('infile', help='image to deskew')
parser_deskew.add_argument('outfile', help='deskewed output image')
parser_deskew.set_defaults(func=deskew)
args = parser.parse_args()
if getLeptonicaVersion() != u'leptonica-1.69':
print("Unexpected leptonica version: %s" % getLeptonicaVersion())
args.func(args)
def _test_output(mode, extension, im_format):
from PIL import Image
from tempfile import NamedTemporaryFile
with NamedTemporaryFile(prefix='test-lept-pnm', suffix=extension, delete=True) as tmpfile:
im = Image.new(mode=mode, size=(100, 100))
im.save(tmpfile)
pix = pixRead(tmpfile.name)
pixWriteImpliedFormat(tmpfile.name, pix)
pixDestroy(pix)
im_roundtrip = Image.open(tmpfile.name)
assert im_roundtrip.mode == im.mode, "leptonica mode differs"
assert im_roundtrip.format == im_format, \
"{0}: leptonica produced a {1}".format(
extension,
im_roundtrip.format)
def test_pnm_output():
params = [['1', '.pbm', 'PPM'], ['L', '.pgm', 'PPM'],
['RGB', '.ppm', 'PPM']]
for param in params:
_test_output(*param)