Issue to train tesseract-OCR 4 - Empy shape table - ocr

Question

I am trying to train Tesseract 4 with particular pictures (to read multimeters with 7 segments),
please note that I am aware of the allready trained data from Arthur Augusto at https://github.com/arturaugusto/display_ocr but I need to train Tesseract over my own data.
In order to train tess, I followed differents tutorials (as https://robipritrznik.medium.com/recognizing-vehicle-license-plates-on-images-using-tesseract-4-ocr-with-custom-trained-models-4ba9861595e7 or https://pretius.com/how-to-prepare-training-files-for-tesseract-ocr-and-improve-characters-recognition/)
but i allways get problem when running the shapeclustering command with my own data
(With example data as https://github.com/tesseract-ocr/tesseract/issues/1174#issuecomment-338448972, every things is working fine)
Indeed when I try to do the shapeclusturing command it have this output screenshot
Then my shape_table is empty and the trainig could'nt be efficient...
With example data it's working fine and the shape_table is well filled
I am guessing that I have issue with box file generation, here is my process to create box file :
I use the
tesseract imageFileName.tif imageFileName batch.nochop makebox
command to generate box file and then i edit it with JtessboxEditor.
So I can't see where I'am wrong with my .box/.tif data couple.
Have a good day & thanks for helping me
\n
Adrien
Here is my full batch script for training after having generated and edited box files.
set name=sev7.exp0
set shortName=sev7
echo Run Tesseract for Training..
tesseract.exe %name%.tif %name% nobatch box.train
echo Compute the Character Set..
unicharset_extractor.exe %name%.box
shapeclustering -F font_properties -U unicharset -O %shortName%.unicharset %name%.tr
mftraining -F font_properties -U unicharset -O %shortName%.unicharset %name%.tr
echo Clustering..
cntraining.exe %name%.tr
echo Rename Files..
rename normproto %shortName%.normproto
rename inttemp %shortName%.inttemp
rename pffmtable %shortName%.pffmtable
rename shapetable %shortName%.shapetable
echo Create Tessdata..
combine_tessdata.exe %shortName%.
echo. & pause

Answer 1

Ok so finally I achieved to train tesseract.
The solution is to add a --psm parameter when using the command
tesseract.exe %name%.tif %name% nobatch box.train
as
tesseract.exe %name%.%typeFile% %name% --psm %psm% nobatch box.train
note that all the psm value are :
REM pagesegmode values are:
REM 0 = Orientation and script detection (OSD) only.
REM 1 = Automatic page segmentation with OSD.
REM 2 = Automatic page segmentation, but no OSD, or OCR
REM 3 = Fully automatic page segmentation, but no OSD. (Default)
REM 4 = Assume a single column of text of variable sizes.
REM 5 = Assume a single uniform block of vertically aligned text.
REM 6 = Assume a single uniform block of text.
REM 7 = Treat the image as a single text line.
REM 8 = Treat the image as a single word.
REM 9 = Treat the image as a single word in a circle.
REM 10 = Treat the image as a single character.
REM 11 = Sparse text. Find as much text as possible in no particular order.
REM 12 Sparse text with OSD.
REM 13 Raw line. Treat the image as a single text line bypassing hacks that are Tesseract-specific.
founded on https://github.com/tesseract-ocr/tesseract/issues/434