Traceback (most recent call last):
  File "captcha.py", line 153, in <module>
    Sampling('/home/fang/source/tutor', 500)
  File "captcha.py", line 121, in Sampling
    clear = RemoveLines(src)
  File "captcha.py", line 74, in RemoveLines
    dst = cvCreateImage( cvGetSize(img), IPL_DEPTH_8U, 1 )
  File "/usr/lib/python2.6/dist-packages/opencv/cv.py", line 4348, in cvGetSize
    return _cv.cvGetSize(*args)
RuntimeError:  openCV Error:
        Status=Bad argument
        function name=cvGetSize
        error message=Array should be CvMat or IplImage
        file_name=/build/buildd/opencv-2.1.0/src/cxcore/cxarray.cpp
        line=1233

 
#create 
from pyfann import libfann 
num_input=432 
num_output=10 
num_layers=3 
num_neurons_hidden=144 
desired_error=0.00006 
max_epochs=50000 
epochs_between_reports=1000 
ann=libfann.neural_net() 
ann.create_standard(num_layers, num_input, num_neurons_hidden, num_output) 
ann.set_activation_function_hidden(libfann.SIGMOID_SYMMETRIC_STEPWISE) 
ann.set_activation_function_output(libfann.SIGMOID_SYMMETRIC_STEPWISE) 
ann.train_on_file('samples.txt', max_epochs, epochs_between_reports, desired_error) 
ann.save('fann.data') 
ann.destroy() 
#used 
def MagicRegognition(img, ann): 
        ann = libfann.neural_net() 
        ann.create_from_file('fann.data') 
 
        sample = [] 
        for i in img.size[1]: 
                for j in img.size[]: 
                        if colordist(img.getpixel((j, i)), bgcolor) < 10: 
                                sample[j + i * img.size[]] =  
                        else: 
                                sample[j + i * img.size[]] = 1 
        res = ann.run(sample) 
        return res.index(max(res))