Also, when running the run-uw3-500 script, it fails at ocopus-tsplit with
the following error - as if the book.h5 file is corrupt? Any help is
appreciated:
ocropus-tsplit -d book.h5 -o book.tsplit --maxsplit 100
loading dataset
got 0 samples out of 0
# classes 0
most common ...
starting training
pcakmeans 0 k 0 d 0.95
Traceback (most recent call last):
File "/usr/local/bin/ocropus-tsplit", line 137, in <module>
sc.fit(patches)
File "/usr/local/lib/python2.7/dist-packages/ocrolib/patrec.py", line
355, in fit
self.splitter.fit(data)
File "/usr/local/lib/python2.7/dist-packages/ocrolib/patrec.py", line
289, in fit
maxiter=self.maxiter,npk=self.npk,verbose=self.verbose)
File "/usr/local/lib/python2.7/dist-packages/ocrolib/toplevel.py", line
186, in argument_checks
raise CheckError(e.message,*e.args,var=var,fun=f)
ocrolib.toplevel.CheckError:
CheckError for argument 'data' in call to function: '<function pca_kmeans
at 0x37367d0>'
On Tuesday, August 21, 2012 4:17:57 PM UTC-5, 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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