--verbosity Amount of diagnostic information to output (0-2). (type:int default:1)
Try with verbosity 2 - it should show even when the ground truth and OCR text are same. I think your model is correctly recognizing all lines it was trained on but not on the eval lines. It should also show you the accuracy percentage at end. I am assuming that the model is correctly recognizing the lines it was tr On Thu, Apr 16, 2020 at 7:42 AM Usamah Jundi <[email protected]> wrote: > Hello shree, i did not specify any verbosity level. The same exact command > with the eval list argument pointing to other lists works just fine > > On Wednesday, April 15, 2020 at 6:53:19 PM UTC+7, shree wrote: >> >> lstmeval has different verbosity levels. Which one did you use? >> >> On Wed, Apr 15, 2020 at 4:17 PM Usamah Jundi <[email protected]> wrote: >> >>> Hi, sorry for the brief title, let me explain my situation a bit. >>> >>> So what i've done is: >>> >>> 1. Use tesstrain.sh to generate the training files (the.lstmf, .txt and >>> that one other format) >>> 2. Fine-Tune the best model to said training files >>> 3. Perform lstmeval using one of the resulting checkpoints on the same >>> file i trained on >>> >>> Expected result : >>> - the program loads every files listed on the .txt generated in (1), and >>> performs validation, and in doing so prints out the Truth and OCR of every >>> sample >>> >>> What i got: >>> - the program prints the file names in the .txt generated in (1), but >>> did not perform validation, no Truth and OCR result being written seems to >>> indicate it fails to read the lines? >>> >>> Things to note: >>> - other checkpoints trained on the same data does not work, too >>> - it works when i changed data list (not the one i use for training) or >>> use the .lstm file you extract from off-the-shelf .traineddata files >>> >>> Is this intended behaviour? or am i doing something wrong? >>> >>> -- >>> You received this message because you are subscribed to the Google >>> Groups "tesseract-ocr" group. >>> To unsubscribe from this group and stop receiving emails from it, send >>> an email to [email protected]. >>> To view this discussion on the web visit >>> https://groups.google.com/d/msgid/tesseract-ocr/4b75e0be-1bdc-4c1c-a108-8055aefc737b%40googlegroups.com >>> <https://groups.google.com/d/msgid/tesseract-ocr/4b75e0be-1bdc-4c1c-a108-8055aefc737b%40googlegroups.com?utm_medium=email&utm_source=footer> >>> . >>> >> >> >> -- >> >> ____________________________________________________________ >> भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com >> > -- > You received this message because you are subscribed to the Google Groups > "tesseract-ocr" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/3975d6ad-4782-4f0b-aee2-e4aff8ed7749%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/3975d6ad-4782-4f0b-aee2-e4aff8ed7749%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- ____________________________________________________________ भजन - कीर्तन - आरती @ http://bhajans.ramparivar.com -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CAG2NduXe9CxbL16vatkNByb__me%2BE%2BJz4q8ddgUxzY2bp0-bhA%40mail.gmail.com.
