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# Stolen from tgcaptcha/plugins
# http://code.google.com/p/tgcaptcha/source/browse/trunk/tgcaptcha/plugins/image/vanasco_dowty/captcha.py
import random
from PIL import Image, ImageDraw, ImageFont, ImageFilter
import StringIO
import math
from pyramid.view import view_config
from .words import TabMots
from pyramid.response import Response
class Captcha_Img(object):
def __init__( self, width, height):
self.width = width
self.height = height
self._layers = [
_PyCaptcha_SineWarp(amplitudeRange = (4, 8) , periodRange=(0.65,0.73) ),
]
def getImg(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 render(self):
"""Render this CAPTCHA, returning a PIL image"""
size = (self.width,self.height)
#img = Image.new("RGB", size )
img = self._image
for layer in self._layers:
img = layer.render( img ) or img
self._image = img
return self._image
class _PyCaptcha_WarpBase(object):
"""Abstract base class for image warping. Subclasses define a
function that maps points in the output image to points in the input image.
This warping engine runs a grid of points through this transform and uses
PIL's mesh transform to warp the image.
"""
filtering = Image.BILINEAR
resolution = 40
def get_transform(self, image):
"""Return a transformation function, subclasses should override this"""
return lambda x, y: (x, y)
def render(self, image):
r = self.resolution
xPoints = image.size[0] / r + 2
yPoints = image.size[1] / r + 2
f = self.get_transform(image)
# Create a list of arrays with transformed points
xRows = []
yRows = []
for j in xrange(yPoints):
xRow = []
yRow = []
for i in xrange(xPoints):
x, y = f(i*r, j*r)
# Clamp the edges so we don't get black undefined areas
x = max(0, min(image.size[0]-1, x))
y = max(0, min(image.size[1]-1, y))
xRow.append(x)
yRow.append(y)
xRows.append(xRow)
yRows.append(yRow)
# Create the mesh list, with a transformation for
# each square between points on the grid
mesh = []
for j in xrange(yPoints-1):
for i in xrange(xPoints-1):
mesh.append((
# Destination rectangle
(i*r, j*r,
(i+1)*r, (j+1)*r),
# Source quadrilateral
(xRows[j ][i ], yRows[j ][i ],
xRows[j+1][i ], yRows[j+1][i ],
xRows[j+1][i+1], yRows[j+1][i+1],
xRows[j ][i+1], yRows[j ][i+1]),
))
return image.transform(image.size, Image.MESH, mesh, self.filtering)
class _PyCaptcha_SineWarp(_PyCaptcha_WarpBase):
"""Warp the image using a random composition of sine waves"""
def __init__(self,
amplitudeRange = (1,1),#(2, 6),
periodRange = (1,1)#(0.65, 0.73),
):
self.amplitude = random.uniform(*amplitudeRange)
self.period = random.uniform(*periodRange)
self.offset = (random.uniform(0, math.pi * 2 / self.period),
random.uniform(0, math.pi * 2 / self.period))
def get_transform(self, image):
return (lambda x, y,
a = self.amplitude,
p = self.period,
o = self.offset:
(math.sin( (y+o[0])*p )*a + x,
math.sin( (x+o[1])*p )*a + y))
@view_config(route_name='captcha')
def DoCaptcha(request):
ImgSize = (230,100)
WorkImg = Image.new( 'RGBA', ImgSize, (255, 255, 255, 0) )
Xmax, Ymax = WorkImg.size
# Write something on it
draw = ImageDraw.Draw(WorkImg)
# use a truetype font
#font = ImageFont.truetype("/var/lib/defoma/gs.d/dirs/fonts/LiberationMono-Regular.ttf", 40)
# use it
font = ImageFont.truetype("jm2l/static/fonts/LiberationMono-Regular.ttf",40)
# Re-position
# Choose a word for captcha
text = random.choice(TabMots)
Xt, Yt = font.getsize(text)
OrX, OrY = (ImgSize[0]-Xt)/2, (ImgSize[1]-Yt)/2
draw.text((OrX, OrY), text, font=font, fill="#000000")
# Apply a Blur
# WorkImg=WorkImg.filter(ImageFilter.BLUR)
# Apply a DETAIL
WorkImg=WorkImg.filter(ImageFilter.DETAIL)
# randomize parameters for perspective
ax, ay = (random.uniform(0.9,1.2) , random.uniform(0.9,1.2))
tx, ty = (random.uniform(0,0.0003),random.uniform(0,0.0003))
bx, by = (random.uniform(0.5,0.8),random.uniform(0,0.2))
# Apply perspective to Captcha
WorkImg= WorkImg.transform(ImgSize, Image.PERSPECTIVE, (ax, bx, -25, by, ay, -10, tx, ty))
# Apply SinWarp to Captcha
tr = Captcha_Img(Xmax, Ymax)
tr._image = WorkImg
WorkImg = tr.render()
# Apply a Smooth on it
WorkImg=WorkImg.filter(random.choice([ImageFilter.SMOOTH, ImageFilter.SMOOTH_MORE]))
# Save Result
request.session['Captcha'] = text
#session.save()
ImgHandle = StringIO.StringIO()
WorkImg.save(ImgHandle,'png')
ImgHandle.seek(0)
return Response(app_iter=ImgHandle, content_type = 'image/png')
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