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] 
> <javascript:>>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-**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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>>  
>>
>
>

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