Stinger,
Thanks for the information.
I am also trying to run- test and understand the concept of training.
With regards,
-sriranga(79yrs)

On Wed, Aug 22, 2012 at 7:40 PM, stinger <[email protected]> wrote:

> English.  I'm just trying to use the samples in the downloaded packages.
> I'm not using my own images (yet) - I'd like to get the sample code running
> correctly first before I try run the code over my own images.
>
> Han.
>
>
> On Wednesday, August 22, 2012 8:50:09 AM UTC-5, 79yrsold wrote:
>
>> Stinger,
>> May I know which language you are trying to train?
>> With regards,
>> sriranga(79yrs)
>>
>> On Wed, Aug 22, 2012 at 5:12 PM, stinger <[email protected]> wrote:
>>
>>> Running 64 bit Ubuntu 12.04.  Python 2.7.2+.  The images themselves are
>>> from the hg repository - i.e. I followed the instructions, downloaded the
>>> necessary packages, ran the build and then ran the run-test script without
>>> any changes and I get the error.  Again, thanks for your help.
>>>
>>>
>>> On Tuesday, August 21, 2012 5:40:51 PM UTC-5, Tom wrote:
>>>>
>>>> What platform are you running this on?  Are you running 32bit or 64bit?
>>>>
>>>> The maximum of the segmentation must be 0xffffff (white).  If you get
>>>> 0xff, there is something seriously wrong somewhere in image I/O.
>>>>
>>>> Tom
>>>>
>>>> On Tuesday, August 21, 2012 11:17:57 PM UTC+2, stinger wrote:
>>>>>
>>>>> 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-**mi**xed-4.ngraphs
>>>>> processing 92 files
>>>>> temp/0001/010001.lattice =NGRAPHS= 21.29    BOOK REVIEIP
>>>>> Traceback (most recent call last):
>>>>>   File "/usr/local/bin/ocropus-**ngraph**s", 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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