1 files changed, 0 insertions, 161 deletions
diff --git a/module/captcha/LinksaveIn.py b/module/captcha/LinksaveIn.py
deleted file mode 100644
index d6f61e362..000000000
--- a/module/captcha/LinksaveIn.py
+++ /dev/null
@@ -1,161 +0,0 @@
-from captcha import OCR
-import Image
-from os import sep
-from os.path import dirname
-from os.path import abspath
-from glob import glob
-import tempfile
-
-
-class LinksaveIn(OCR):
-    def __init__(self):
-        OCR.__init__(self)
-        self.data_dir = dirname(abspath(__file__)) + sep + "LinksaveIn" + sep
-    
-    def load_image(self, image):
-        im = Image.open(image)
-        frame_nr = 0
-
-        lut = im.resize((256, 1))
-        lut.putdata(range(256))
-        lut = list(lut.convert("RGB").getdata())
-
-        new = Image.new("RGB", im.size)
-        npix = new.load()
-        while True:
-            try:
-                im.seek(frame_nr)
-            except EOFError:
-                break
-            frame = im.copy()
-            pix = frame.load()
-            for x in range(frame.size[0]):
-                for y in range(frame.size[1]):
-                    if lut[pix[x, y]] != (0,0,0):
-                        npix[x, y] = lut[pix[x, y]]
-            frame_nr += 1
-        new.save(self.data_dir+"unblacked.png")
-        self.image = new.copy()
-        self.pixels = self.image.load()
-        self.result_captcha = ''
-    
-    def get_bg(self):
-        stat = {}
-        cstat = {}
-        img = self.image.convert("P")
-        for bgpath in glob(self.data_dir+"bg/*.gif"):
-            stat[bgpath] = 0
-            bg = Image.open(bgpath)
-            
-            bglut = bg.resize((256, 1))
-            bglut.putdata(range(256))
-            bglut = list(bglut.convert("RGB").getdata())
-            
-            lut = img.resize((256, 1))
-            lut.putdata(range(256))
-            lut = list(lut.convert("RGB").getdata())
-            
-            bgpix = bg.load()
-            pix = img.load()
-            for x in range(bg.size[0]):
-                for y in range(bg.size[1]):
-                    rgb_bg = bglut[bgpix[x, y]]
-                    rgb_c = lut[pix[x, y]]
-                    try:
-                        cstat[rgb_c] += 1
-                    except:
-                        cstat[rgb_c] = 1
-                    if rgb_bg == rgb_c:
-                        stat[bgpath] += 1
-        max_p = 0
-        bg = ""
-        for bgpath, value in stat.items():
-            if max_p < value:
-                bg = bgpath
-                max_p = value
-        return bg
-    
-    def substract_bg(self, bgpath):
-        bg = Image.open(bgpath)
-        img = self.image.convert("P")
-        
-        bglut = bg.resize((256, 1))
-        bglut.putdata(range(256))
-        bglut = list(bglut.convert("RGB").getdata())
-        
-        lut = img.resize((256, 1))
-        lut.putdata(range(256))
-        lut = list(lut.convert("RGB").getdata())
-        
-        bgpix = bg.load()
-        pix = img.load()
-        orgpix = self.image.load()
-        for x in range(bg.size[0]):
-            for y in range(bg.size[1]):
-                rgb_bg = bglut[bgpix[x, y]]
-                rgb_c = lut[pix[x, y]]
-                if rgb_c == rgb_bg:
-                    orgpix[x, y] = (255,255,255)
-    
-    def eval_black_white(self):
-        new = Image.new("RGB", (140, 75))
-        pix = new.load()
-        orgpix = self.image.load()
-        thresh = 4
-        for x in range(new.size[0]):
-            for y in range(new.size[1]):
-                rgb = orgpix[x, y]
-                r, g, b = rgb
-                pix[x, y] = (255,255,255)
-                if r > max(b, g)+thresh:
-                    pix[x, y] = (0,0,0)
-                if g < min(r, b):
-                    pix[x, y] = (0,0,0)
-                if g > max(r, b)+thresh:
-                    pix[x, y] = (0,0,0)
-                if b > max(r, g)+thresh:
-                    pix[x, y] = (0,0,0)
-        self.image = new
-        self.pixels = self.image.load()
-    
-    def run_tesser(self):
-        self.logger.debug("create tmp tif")
-        tmp = tempfile.NamedTemporaryFile(suffix=".tif")
-        self.logger.debug("create tmp txt")
-        tmpTxt = tempfile.NamedTemporaryFile(suffix=".txt")
-        self.logger.debug("save tiff")
-        self.image.save(tmp.name, 'TIFF')
-        self.logger.debug("run tesseract")
-        self.run(['tesseract', tmp.name, tmpTxt.name.replace(".txt", ""), "nobatch", self.data_dir+"tesser_conf"])
-        self.logger.debug("read txt")
-
-        with open(tmpTxt.name, 'r') as f:
-            self.result_captcha = f.read().replace("\n", "")
-
-    def get_captcha(self, image):
-        self.load_image(image)
-        bg = self.get_bg()
-        self.substract_bg(bg)
-        self.eval_black_white()
-        self.to_greyscale()
-        self.image.save(self.data_dir+"cleaned_pass1.png")
-        self.clean(4)
-        self.clean(4)
-        self.image.save(self.data_dir+"cleaned_pass2.png")
-        letters = self.split_captcha_letters()
-        final = ""
-        for n, letter in enumerate(letters):
-            self.image = letter
-            self.image.save(ocr.data_dir+"letter%d.png" % n)
-            self.run_tesser()
-            final += self.result_captcha
-        
-        return final
-
-if __name__ == '__main__':
-    import urllib
-    ocr = LinksaveIn()
-    testurl = "http://linksave.in/captcha/cap.php?hsh=2229185&code=ZzHdhl3UffV3lXTH5U4b7nShXj%2Bwma1vyoNBcbc6lcc%3D"
-    urllib.urlretrieve(testurl, ocr.data_dir+"captcha.gif")
-    
-    print ocr.get_captcha(ocr.data_dir+'captcha.gif')