Mercurial > ift6266
view pycaptcha/Captcha/Visual/Base.py @ 137:728e232eaf45
Added script to separate OCR data in train, validation and test sets (raw data)
author | boulanni <nicolas_boulanger@hotmail.com> |
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date | Sat, 20 Feb 2010 02:12:57 -0500 |
parents | 4775b4195b4b |
children |
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""" Captcha.Visual.BAse Base classes for visual CAPTCHAs. We use the Python Imaging Library to manipulate these images. """ # # PyCAPTCHA Package # Copyright (C) 2004 Micah Dowty <micah@navi.cx> # import Captcha import Image __all__ = ['ImageCaptcha', 'Layer'] class ImageCaptcha(Captcha.BaseCaptcha): """Base class for image-based CAPTCHA tests. The render() function generates the CAPTCHA image at the given size by combining Layer instances from self.layers, which should be created by the subclass-defined getLayers(). """ defaultSize = (32,32) # anciennement a defaultSize(256,96) def __init__(self, *args, **kwargs): Captcha.BaseCaptcha.__init__(self) self._layers = self.getLayers(*args, **kwargs) def getImage(self): """Get a PIL image representing this CAPTCHA test, creating it if necessary""" if not self._image: self._image = self.render() return self._image def getLayers(self): """Subclasses must override this to return a list of Layer instances to render. Lists within the list of layers are recursively rendered. """ return [] def render(self, size=None): """Render this CAPTCHA, returning a PIL image""" if size is None: size = self.defaultSize img = Image.new("L", size) # img = Image.new("RGB", size) return self._renderList(self._layers, Image.new("L", size)) def _renderList(self, l, img): for i in l: if type(i) == tuple or type(i) == list: img = self._renderList(i, img) else: img = i.render(img) or img return img class Layer(object): """A renderable object representing part of a CAPTCHA. The render() function should return approximately the same result, regardless of the image size. This means any randomization must occur in the constructor. If the render() function returns something non-None, it is taken as an image to replace the current image with. This can be used to implement transformations that result in a separate image without having to copy the results back to the first. """ def render(self, img): pass ### The End ###