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authorGravatar RaNaN <Mast3rRaNaN@hotmail.de> 2010-08-25 18:22:27 +0200
committerGravatar RaNaN <Mast3rRaNaN@hotmail.de> 2010-08-25 18:22:27 +0200
commit29f9dc8fb3396b03d732ebcbeb1cc8f00fe13897 (patch)
treef2a910cbea747a7b0c0a50d6c66691e54f5ef47f /module/plugins/captcha/captcha.py
parentmerged gui (diff)
downloadpyload-29f9dc8fb3396b03d732ebcbeb1cc8f00fe13897.tar.xz
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diff --git a/module/plugins/captcha/captcha.py b/module/plugins/captcha/captcha.py
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+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+#
+#Copyright (C) 2009 kingzero, RaNaN
+#
+#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 3 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, see <http://www.gnu.org/licenses/>.
+#
+###
+from __future__ import with_statement
+import os
+from os.path import join
+from os.path import abspath
+import logging
+import subprocess
+#import tempfile
+import threading
+
+import Image
+import TiffImagePlugin
+import PngImagePlugin
+import GifImagePlugin
+import JpegImagePlugin
+
+from module.web.ServerThread import Output
+
+class OCR(object):
+
+ __name__ = "OCR"
+
+ def __init__(self):
+ self.logger = logging.getLogger("log")
+
+ def load_image(self, image):
+ self.image = Image.open(image)
+ self.pixels = self.image.load()
+ self.result_captcha = ''
+
+ def unload(self):
+ """delete all tmp images"""
+ pass
+
+ def threshold(self, value):
+ self.image = self.image.point(lambda a: a * value + 10)
+
+ def run(self, command, inputdata=None):
+ """Run a command"""
+
+ popen = subprocess.Popen(command, bufsize = -1, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
+ popen.wait()
+
+ def run_tesser(self, subset=False, digits=True, lowercase=True, uppercase=True):
+ #self.logger.debug("create tmp tif")
+
+
+ #tmp = tempfile.NamedTemporaryFile(suffix=".tif")
+ tmp = open(join("tmp", "tmpTif_%s.tif" % self.__name__), "wb")
+ tmp.close()
+ #self.logger.debug("create tmp txt")
+ #tmpTxt = tempfile.NamedTemporaryFile(suffix=".txt")
+ tmpTxt = open(join("tmp", "tmpTxt_%s.txt" % self.__name__), "wb")
+ tmpTxt.close()
+
+ self.logger.debug("save tiff")
+ self.image.save(tmp.name, 'TIFF')
+
+ if os.name == "nt":
+ tessparams = [join(pypath,"tesseract","tesseract.exe")]
+ else:
+ tessparams = ['tesseract']
+
+ tessparams.extend( [abspath(tmp.name), abspath(tmpTxt.name).replace(".txt", "")] )
+
+ if subset and (digits or lowercase or uppercase):
+ #self.logger.debug("create temp subset config")
+ #tmpSub = tempfile.NamedTemporaryFile(suffix=".subset")
+ tmpSub = open(join("tmp", "tmpSub_%s.subset" % self.__name__), "wb")
+ tmpSub.write("tessedit_char_whitelist ")
+ if digits:
+ tmpSub.write("0123456789")
+ if lowercase:
+ tmpSub.write("abcdefghijklmnopqrstuvwxyz")
+ if uppercase:
+ tmpSub.write("ABCDEFGHIJKLMNOPQRSTUVWXYZ")
+ tmpSub.write("\n")
+ tessparams.append("nobatch")
+ tessparams.append(abspath(tmpSub.name))
+ tmpSub.close()
+
+ self.logger.debug("run tesseract")
+ self.run(tessparams)
+ self.logger.debug("read txt")
+
+ with open(tmpTxt.name, 'r') as f:
+ self.result_captcha = f.read().replace("\n", "")
+
+ self.logger.debug(self.result_captcha)
+
+ try:
+ os.remove(tmp.name)
+ os.remove(tmpTxt.name)
+ if subset and (digits or lowercase or uppercase):
+ os.remove(tmpSub.name)
+ except:
+ pass
+
+ def get_captcha(self):
+ raise NotImplementedError
+
+ def to_greyscale(self):
+ if self.image.mode != 'L':
+ self.image = self.image.convert('L')
+
+ self.pixels = self.image.load()
+
+ def eval_black_white(self, limit):
+ self.pixels = self.image.load()
+ w, h = self.image.size
+ for x in xrange(w):
+ for y in xrange(h):
+ if self.pixels[x, y] > limit:
+ self.pixels[x, y] = 255
+ else:
+ self.pixels[x, y] = 0
+
+ def clean(self, allowed):
+ pixels = self.pixels
+
+ w, h = self.image.size
+
+ for x in xrange(w):
+ for y in xrange(h):
+ if pixels[x, y] == 255: continue
+ # no point in processing white pixels since we only want to remove black pixel
+ count = 0
+
+ try:
+ if pixels[x-1, y-1] != 255: count += 1
+ if pixels[x-1, y] != 255: count += 1
+ if pixels[x-1, y + 1] != 255: count += 1
+ if pixels[x, y + 1] != 255: count += 1
+ if pixels[x + 1, y + 1] != 255: count += 1
+ if pixels[x + 1, y] != 255: count += 1
+ if pixels[x + 1, y-1] != 255: count += 1
+ if pixels[x, y-1] != 255: count += 1
+ except:
+ pass
+
+ # not enough neighbors are dark pixels so mark this pixel
+ # to be changed to white
+ if count < allowed:
+ pixels[x, y] = 1
+
+ # second pass: this time set all 1's to 255 (white)
+ for x in xrange(w):
+ for y in xrange(h):
+ if pixels[x, y] == 1: pixels[x, y] = 255
+
+ self.pixels = pixels
+
+ def derotate_by_average(self):
+ """rotate by checking each angle and guess most suitable"""
+
+ w, h = self.image.size
+ pixels = self.pixels
+
+ for x in xrange(w):
+ for y in xrange(h):
+ if pixels[x, y] == 0:
+ pixels[x, y] = 155
+
+ highest = {}
+ counts = {}
+
+ for angle in range(-45, 45):
+
+ tmpimage = self.image.rotate(angle)
+
+ pixels = tmpimage.load()
+
+ w, h = self.image.size
+
+ for x in xrange(w):
+ for y in xrange(h):
+ if pixels[x, y] == 0:
+ pixels[x, y] = 255
+
+
+ count = {}
+
+ for x in xrange(w):
+ count[x] = 0
+ for y in xrange(h):
+ if pixels[x, y] == 155:
+ count[x] += 1
+
+ sum = 0
+ cnt = 0
+
+ for x in count.values():
+ if x != 0:
+ sum += x
+ cnt += 1
+
+ avg = sum / cnt
+ counts[angle] = cnt
+ highest[angle] = 0
+ for x in count.values():
+ if x > highest[angle]:
+ highest[angle] = x
+
+ highest[angle] = highest[angle] - avg
+
+ hkey = 0
+ hvalue = 0
+
+ for key, value in highest.iteritems():
+ if value > hvalue:
+ hkey = key
+ hvalue = value
+
+ self.image = self.image.rotate(hkey)
+ pixels = self.image.load()
+
+ for x in xrange(w):
+ for y in xrange(h):
+ if pixels[x, y] == 0:
+ pixels[x, y] = 255
+
+ if pixels[x, y] == 155:
+ pixels[x, y] = 0
+
+ self.pixels = pixels
+
+ def split_captcha_letters(self):
+ captcha = self.image
+ started = False
+ letters = []
+ width, height = captcha.size
+ bottomY, topY = 0, height
+ pixels = captcha.load()
+
+ for x in xrange(width):
+ black_pixel_in_col = False
+ for y in xrange(height):
+ if pixels[x, y] != 255:
+ if started == False:
+ started = True
+ firstX = x
+ lastX = x
+
+ if y > bottomY: bottomY = y
+ if y < topY: topY = y
+ if x > lastX: lastX = x
+
+ black_pixel_in_col = True
+
+ if black_pixel_in_col == False and started == True:
+ rect = (firstX, topY, lastX, bottomY)
+ new_captcha = captcha.crop(rect)
+
+ w, h = new_captcha.size
+ if w > 5 and h > 5:
+ letters.append(new_captcha)
+
+ started = False
+ bottomY, topY = 0, height
+
+ return letters
+
+ def correct(self, values, var=None):
+
+ if var:
+ result = var
+ else:
+ result = self.result_captcha
+
+ for key, item in values.iteritems():
+
+ if key.__class__ == str:
+ result = result.replace(key, item)
+ else:
+ for expr in key:
+ result = result.replace(expr, item)
+
+ if var:
+ return result
+ else:
+ self.result_captcha = result
+
+
+if __name__ == '__main__':
+ ocr = OCR()
+ ocr.load_image("B.jpg")
+ ocr.to_greyscale()
+ ocr.eval_black_white(140)
+ ocr.derotate_by_avergage()
+ ocr.run_gocr()
+ print "GOCR", ocr.result_captcha
+ ocr.run_tesser()
+ print "Tesseract", ocr.result_captcha
+ ocr.image.save("derotated.jpg")
+