try to follow official training docs: https://tesseract-ocr.github.io/tessdoc/#training-for-tesseract-5
Zdenko ne 14. 8. 2022 o 7:59 Benjamin Hall <codenamejupit...@gmail.com> napísal(a): > I am using tesseract (Pytesseract to be exact)on a video and I am trying > to get better detections buy trying to train the tesseract on a new font so > I found a tutorial at: > > https://www.youtube.com/watch?v=1v8BPw0Dn0I > > > And This tutorial give very simple and straight forward direction on how > to do this (posted below): > > > *Step 1: *Make box files for images that we want to train > > Syntax: tesseract [langname].[fontname].[expN].[file-extension] > [langname].[fontname].[expN] batch.nochop makebox > > Eg:tesseract train.my.exp0.tif train.my.exp0 batch.nochop makebox > > > {*Note: After making box files we have to change or modify wrongly > identified characters in box files.} > > > *Step 2:* Create .tr file (Compounding image file and box file) > > Syntax: tesseract [langname].[fontname].[expN].[file-extension] > [langname].[fontname].[expN] box.train > > Eg: tesseract train.my.exp.tif train.my.exp0 box.train > > > *Step 3:* Extract the charset from the box files (Output for this command > is unicharset file) > > Syntax: unicharset_extractor [langname].[fontname].[expN].box > > Eg: unicharset_extractor train.my.exp0.box > > > *Step 4:* Create a font_properties file based on our needs. > > Syntax: echo "[fontname] [italic (0 or 1)] [bold (0 or 1)] [monospace (0 > or 1)] [serif (0 or 1)] [fraktur (0 or 1)]" [angle bracket should be here] > font_properties > > Eg: echo "arial 0 0 1 0 0" [angled bracket] font_properties > > > *Step 5:* Training the data. > > Syntax: mftraining -F font_properties -U unicharset -O > [langname].unicharset [langname].[fontname].[expN].tr > > Eg: mftraining -F font_properties -U unicharset -O train.unicharset > train.my.exp0.tr > > > *Step 6:* > > Syntax: cntraining [langname].[fontname].[expN].tr > > Eg: cntraining train.my.exp0.tr > > {*Note:After step 5 and step 6 four files were > created.(shapetable,inttemp,pffmtable,normproto) } > > > *Step 7:* Rename four files (shapetable,inttemp,pffmtable,normproto) into > ([langname].shapetable,[langname].inttemp,[langname].pffmtable,[langname].normproto) > > Syntax: rename filename1 filename2 > > Eg: > > rename shapetable train.shapetable > > rename inttemp train.inttemp > > rename pffmtable train.pffmtable > > rename normproto train.normproto > > > *Step 8: *Create .traineddata file > > Syntax: combine_tessdata [langname]. > > Eg: combine_tessdata train. > > > Move .traineddata file to tesseract programs tessdata directory > > C:\Program Files\Tesseract-OCR\tessdata > > > Run tesseract for trained fronts > > > tesseract Test2.png stdout -l train > > > I get a segmentation fault on Step 5. Has anyone ever had this issue > before? Thank you in advance. > > -- > 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 tesseract-ocr+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/2fee7cdd-16cd-4997-8668-778e4d626c1an%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/2fee7cdd-16cd-4997-8668-778e4d626c1an%40googlegroups.com?utm_medium=email&utm_source=footer> > . > -- 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 tesseract-ocr+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/tesseract-ocr/CAJbzG8yL%3DVSKQ5P%2Bxt7G5PAUQ0YSux7erxv%3DLi81GpZAEdatYQ%40mail.gmail.com.
