I've run through the installation process, and am trying to run the 
run-test script.  I keep getting the error "expected a segmentation with 
white background" when running ocropus-ngraphs (see output below) - it's 
failing because the max of 255 is being checked against an expected value 
of 0xffffff.  However, if I modify the code, and change 0xffffff to 0xff 
the run-test script works.  Not sure if this is a bug?

+ true
+ true language model application
+ true
+ ocropus-ngraphs 'temp/????/??????.lattice'
loading /usr/local/share/ocropus/en-mixed-4.ngraphs
processing 92 files
temp/0001/010001.lattice =NGRAPHS= 21.29    BOOK REVIEIP 
Traceback (most recent call last):
  File "/usr/local/bin/ocropus-ngraphs", line 294, in <module>
    rseg = ocrolib.read_line_segmentation(rname)
  File "/usr/local/lib/python2.7/dist-packages/ocrolib/toplevel.py", line 
194, in argument_checks
    result = f(*args,**kw)
  File "/usr/local/lib/python2.7/dist-packages/ocrolib/common.py", line 
207, in read_line_segmentation
    result = make_seg_black(image)
  File "/usr/local/lib/python2.7/dist-packages/ocrolib/toplevel.py", line 
190, in argument_checks
    raise e
ocrolib.toplevel.CheckError: 
CheckError for argument 'image' in call to function: '<function 
make_seg_black at 0x3810aa0>'
<ndarray-13b67fd0 (60, 583) int32 [1,255]> of type <type 'numpy.ndarray'>: 
expected a segmentation with white background






On Friday, August 17, 2012 9:31:35 PM UTC-5, Tom wrote:
>
> OCRopus 0.6pre1 has been released.  It features much simpler 
> installation, fewer dependencies, and improved recognition rates.  This is 
> the first all-Python release.  Please follow the instructions on 
> http://www.ocropus.org/ (installation is really just a couple of simple 
> steps).
>
> There are three scripts you should run after installation:
>
> (1) "run-test" runs a simple recognition test
> (2) "run-box-training" (in fraktur-boxes) trains a Fraktur recognizer from 
> Tesseract-style box files
> (3) "run-uw3-500" (in uw3-500) shows how training works on line-by-line 
> transcribed data
>
> Tom
>

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