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Manpages (#1378)
* Add missing man pages * Update lstmeval.1.asc * Update combine_lang_model.1.asc * Update lstmtraining.1.asc * Update merge_unicharsets.1.asc * Update set_unicharset_properties.1.asc * Update text2image.1.asc * Update text2image.1.asc * Update combine_lang_model.1.asc
This commit is contained in:
Shreeshrii
zdenop
parent
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commit
df58108972
@ -2,11 +2,27 @@ if MAINTAINER_MODE
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asciidoc=asciidoc -d manpage
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man_MANS = cntraining.1 combine_tessdata.1 mftraining.1 tesseract.1 \
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unicharset_extractor.1 wordlist2dawg.1 unicharambigs.5 \
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unicharset.5 ambiguous_words.1 shapeclustering.1 dawg2wordlist.1
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EXTRA_DIST = $(man_MANS) Doxyfile
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man_MANS = \
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ambiguous_words.1 \
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classifier_tester.1 \
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cntraining.1 \
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combine_lang_model.1 \
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combine_tessdata.1 \
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dawg2wordlist.1 \
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lstmeval.1 \
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lstmtraining.1 \
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merge_unicharsets.1 \
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mftraining.1 \
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set_unicharset_properties.1 \
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shapeclustering.1 \
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tesseract.1 \
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text2image.1 \
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unicharambigs.5 \
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unicharset.5 \
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unicharset_extractor.1 \
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wordlist2dawg.1
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EXTRA_DIST = $(man_MANS) Doxyfile
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%: %.asc
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$(asciidoc) -o $@ $<
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61
doc/classifier_tester.1.asc
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61
doc/classifier_tester.1.asc
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CLASSIFIER_TESTER(1)
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====================
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NAME
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----
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classifier_tester - for *legacy tesseract* engine.
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SYNOPSIS
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--------
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*classifier_tester* -U 'unicharset_file' -F 'font_properties_file' -X 'xheights_file' -classifier 'x' -lang 'lang' [-output_trainer trainer] *.tr
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DESCRIPTION
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-----------
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classifier_tester(1) runs Tesseract in a special mode.
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It takes a list of .tr files and tests a character classifier
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on data as formatted for training,
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but it doesn't have to be the same as the training data.
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IN/OUT ARGUMENTS
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----------------
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a list of .tr files
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OPTIONS
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-------
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-l 'lang'::
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(Input) three character language code; default value 'eng'.
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-classifier 'x'::
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(Input) One of "pruner", "full".
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-U 'unicharset'::
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(Input) The unicharset for the language.
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-F 'font_properties_file'::
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(Input) font properties file, each line is of the following form, where each field other than the font name is 0 or 1:
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*font_name* *italic* *bold* *fixed_pitch* *serif* *fraktur*
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-X 'xheights_file'::
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(Input) x heights file, each line is of the following form, where xheight is calculated as the pixel x height of a character drawn at 32pt on 300 dpi. [ That is, if base x height + ascenders + descenders = 133, how much is x height? ]
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*font_name* *xheight*
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-output_trainer 'trainer'::
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(Output, Optional) Filename for output trainer.
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SEE ALSO
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--------
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tesseract(1)
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COPYING
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-------
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Copyright \(C) 2012 Google, Inc.
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Licensed under the Apache License, Version 2.0
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AUTHOR
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------
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The Tesseract OCR engine was written by Ray Smith and his research groups
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at Hewlett Packard (1985-1995) and Google (2006-present).
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71
doc/combine_lang_model.1.asc
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71
doc/combine_lang_model.1.asc
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COMBINE_LANG_MODEL(1)
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=====================
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:doctype: manpage
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NAME
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----
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combine_lang_model - generate starter traineddata
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SYNOPSIS
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--------
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*combine_lang_model* --input_unicharset 'filename' --script_dir 'dirname' --output_dir 'rootdir' --lang 'lang' [--lang_is_rtl] [pass_through_recoder] [--words file --puncs file --numbers file]
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DESCRIPTION
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-----------
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combine_lang_model(1) generates a starter traineddata file that can be used to train an LSTM-based neural network model. It takes as input a unicharset and an optional set of wordlists. It eliminates the need to run set_unicharset_properties(1), wordlist2dawg(1), some non-existent binary to generate the recoder (unicode compressor), and finally combine_tessdata(1).
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OPTIONS
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-------
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'-l lang'::
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The language to use.
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Tesseract uses 3-character ISO 639-2 language codes. (See LANGUAGES)
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'--script_dir PATH'::
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Directory name for input script unicharsets. It should point to the location of langdata (github repo) directory. (type:string default:)
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'--input_unicharset FILE'::
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Unicharset to complete and use in encoding. It can be a hand-created file with incomplete fields. Its basic and script properties will be set before it is used. (type:string default:)
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'--lang_is_rtl BOOL'::
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True if language being processed is written right-to-left (eg Arabic/Hebrew). (type:bool default:false)
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'--pass_through_recoder BOOL'::
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If true, the recoder is a simple pass-through of the unicharset. Otherwise, potentially a compression of it by encoding Hangul in Jamos, decomposing multi-unicode symbols into sequences of unicodes, and encoding Han using the data in the radical_table_data, which must be the content of the file: langdata/radical-stroke.txt. (type:bool default:false)
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'--version_str STRING'::
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An arbitrary version label to add to traineddata file (type:string default:)
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'--words FILE'::
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(Optional) File listing words to use for the system dictionary (type:string default:)
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'--numbers FILE'::
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(Optional) File listing number patterns (type:string default:)
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'--puncs FILE'::
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(Optional) File listing punctuation patterns. The words/puncs/numbers lists may be all empty. If any are non-empty then puncs must be non-empty. (type:string default:)
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'--output_dir PATH'::
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Root directory for output files. Output files will be written to <output_dir>/<lang>/<lang>.* (type:string default:)
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HISTORY
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-------
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combine_lang_model(1) was first made available for tesseract4.00.00alpha.
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RESOURCES
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---------
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Main web site: <https://github.com/tesseract-ocr> +
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Information on training tesseract LSTM: <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00>
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SEE ALSO
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--------
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tesseract(1)
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COPYING
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-------
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Copyright \(C) 2012 Google, Inc.
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Licensed under the Apache License, Version 2.0
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AUTHOR
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------
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The Tesseract OCR engine was written by Ray Smith and his research groups
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at Hewlett Packard (1985-1995) and Google (2006-present).
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55
doc/lstmeval.1.asc
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55
doc/lstmeval.1.asc
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@ -0,0 +1,55 @@
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LSTMEVAL(1)
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===========
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:doctype: manpage
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NAME
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----
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lstmeval - Evaluation program for LSTM-based networks.
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SYNOPSIS
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--------
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*lstmeval* --model 'lang.lstm|langtrain_checkpoint|pluscharsN.NNN_NN.checkpoint' [--traineddata lang/lang.traineddata] --eval_listfile 'lang.eval_files.txt' [--verbosity N] [--max_image_MB NNNN]
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DESCRIPTION
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-----------
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lstmeval(1) evaluates LSTM-based networks. Either a recognition model or a training checkpoint can be given as input for evaluation along with a list of lstmf files. If evaluating a training checkpoint, '--traineddata' should also be specified.
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OPTIONS
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-------
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'--model FILE'::
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Name of model file (training or recognition) (type:string default:)
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'--traineddata FILE'::
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If model is a training checkpoint, then traineddata must be the traineddata file that was given to the trainer (type:string default:)
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'--eval_listfile FILE'::
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File listing sample files in lstmf training format. (type:string default:)
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'--max_image_MB INT'::
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Max memory to use for images. (type:int default:2000)
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'--verbosity INT'::
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Amount of diagnosting information to output (0-2). (type:int default:1)
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HISTORY
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-------
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lstmeval(1) was first made available for tesseract4.00.00alpha.
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RESOURCES
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---------
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Main web site: <https://github.com/tesseract-ocr> +
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Information on training tesseract LSTM: <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00>
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SEE ALSO
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--------
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tesseract(1)
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COPYING
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-------
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Copyright \(C) 2012 Google, Inc.
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Licensed under the Apache License, Version 2.0
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AUTHOR
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------
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The Tesseract OCR engine was written by Ray Smith and his research groups
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at Hewlett Packard (1985-1995) and Google (2006-present).
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117
doc/lstmtraining.1.asc
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117
doc/lstmtraining.1.asc
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LSTMTRAINING(1)
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===============
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:doctype: manpage
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NAME
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----
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lstmtraining - Training program for LSTM-based networks.
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SYNOPSIS
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--------
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*lstmtraining*
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--continue_from 'train_output_dir/continue_from_lang.lstm'
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--old_traineddata 'bestdata_dir/continue_from_lang.traineddata'
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--traineddata 'train_output_dir/lang/lang.traineddata'
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--max_iterations 'NNN'
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--debug_interval '0|-1'
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--train_listfile 'train_output_dir/lang.training_files.txt'
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--model_output 'train_output_dir/newlstmmodel'
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DESCRIPTION
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-----------
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lstmtraining(1) trains LSTM-based networks using a list of lstmf files and starter traineddata file as the main input. Training from scratch is not recommended to be done by users. Finetuning (example command shown in synopsis above) or replacing a layer options can be used instead. Different options apply to different types of training. Read [Training Wiki page](https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00) for details.
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OPTIONS
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-------
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'--debug_interval '::
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How often to display the alignment. (type:int default:0)
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'--net_mode '::
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Controls network behavior. (type:int default:192)
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'--perfect_sample_delay '::
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How many imperfect samples between perfect ones. (type:int default:0)
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'--max_image_MB '::
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Max memory to use for images. (type:int default:6000)
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'--append_index '::
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Index in continue_from Network at which to attach the new network defined by net_spec (type:int default:-1)
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'--max_iterations '::
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If set, exit after this many iterations (type:int default:0)
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'--target_error_rate '::
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Final error rate in percent. (type:double default:0.01)
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'--weight_range '::
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Range of initial random weights. (type:double default:0.1)
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'--learning_rate '::
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Weight factor for new deltas. (type:double default:0.001)
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'--momentum '::
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Decay factor for repeating deltas. (type:double default:0.5)
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'--adam_beta '::
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Decay factor for repeating deltas. (type:double default:0.999)
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'--stop_training '::
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Just convert the training model to a runtime model. (type:bool default:false)
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'--convert_to_int '::
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Convert the recognition model to an integer model. (type:bool default:false)
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'--sequential_training '::
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Use the training files sequentially instead of round-robin. (type:bool default:false)
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'--debug_network '::
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Get info on distribution of weight values (type:bool default:false)
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'--randomly_rotate '::
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Train OSD and randomly turn training samples upside-down (type:bool default:false)
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'--net_spec '::
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Network specification (type:string default:)
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'--continue_from '::
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Existing model to extend (type:string default:)
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'--model_output '::
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Basename for output models (type:string default:lstmtrain)
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'--train_listfile '::
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File listing training files in lstmf training format. (type:string default:)
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'--eval_listfile '::
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File listing eval files in lstmf training format. (type:string default:)
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'--traineddata '::
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Starter traineddata with combined Dawgs/Unicharset/Recoder for language model (type:string default:)
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'--old_traineddata '::
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When changing the character set, this specifies the traineddata with the old character set that is to be replaced (type:string default:)
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HISTORY
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-------
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lstmtraining(1) was first made available for tesseract4.00.00alpha.
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RESOURCES
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---------
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Main web site: <https://github.com/tesseract-ocr> +
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Information on training tesseract LSTM: <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00>
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SEE ALSO
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--------
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tesseract(1)
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COPYING
|
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-------
|
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Copyright \(C) 2012 Google, Inc.
|
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Licensed under the Apache License, Version 2.0
|
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|
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AUTHOR
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------
|
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The Tesseract OCR engine was written by Ray Smith and his research groups
|
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at Hewlett Packard (1985-1995) and Google (2006-present).
|
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51
doc/merge_unicharsets.1.asc
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51
doc/merge_unicharsets.1.asc
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MERGE_UNICHARSETS(1)
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====================
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:doctype: manpage
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NAME
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----
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merge_unicharsets - Simple tool to merge two or more unicharsets.
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SYNOPSIS
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--------
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*merge_unicharsets* 'unicharset-in-1' ... 'unicharset-in-n' 'unicharset-out'
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DESCRIPTION
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-----------
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merge_unicharsets(1) is a simple tool to merge two or more unicharsets.
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It could be used to create a combined unicharset for a script-level engine,
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like the new Latin or Devanagari.
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IN/OUT ARGUMENTS
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----------------
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'unicharset-in-1'::
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(Input) The name of the first unicharset file to be merged.
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'unicharset-in-n'::
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(Input) The name of the nth unicharset file to be merged.
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'unicharset-out'::
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(Output) The name of the merged unicharset file.
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|
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HISTORY
|
||||
-------
|
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merge_unicharsets(1) was first made available for tesseract4.00.00alpha.
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|
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RESOURCES
|
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---------
|
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Main web site: <https://github.com/tesseract-ocr> +
|
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Information on training tesseract LSTM: <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00>
|
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|
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SEE ALSO
|
||||
--------
|
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tesseract(1)
|
||||
|
||||
COPYING
|
||||
-------
|
||||
Copyright \(C) 2012 Google, Inc.
|
||||
Licensed under the Apache License, Version 2.0
|
||||
|
||||
AUTHOR
|
||||
------
|
||||
The Tesseract OCR engine was written by Ray Smith and his research groups
|
||||
at Hewlett Packard (1985-1995) and Google (2006-present).
|
||||
50
doc/set_unicharset_properties.1.asc
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50
doc/set_unicharset_properties.1.asc
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SET_UNICHARSET_PROPERTIES(1)
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============================
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:doctype: manpage
|
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|
||||
NAME
|
||||
----
|
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set_unicharset_properties - set properties about the unichars
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|
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SYNOPSIS
|
||||
--------
|
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*set_unicharset_properties* --U 'input_unicharsetfile' --script_dir '/path/to/langdata' --O 'output_unicharsetfile'
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|
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DESCRIPTION
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-----------
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set_unicharset_properties(1) reads a unicharset file, puts the result in a UNICHARSET object, fills it with properties about the unichars it contains and writes the result back to another unicharset file.
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|
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OPTIONS
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-------
|
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|
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'--script_dir /path/to/langdata'::
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(Input) Specify the location of directory for universal script unicharsets and font xheights (type:string default:)
|
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|
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'--U unicharsetfile'::
|
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(Input) Specify the location of the unicharset to load as input.
|
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|
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'--O unicharsetfile'::
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(Output) Specify the location of the unicharset to be written with updated properties.
|
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|
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HISTORY
|
||||
-------
|
||||
set_unicharset_properties(1) was first made available for tesseract version 3.03.
|
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|
||||
RESOURCES
|
||||
---------
|
||||
Main web site: <https://github.com/tesseract-ocr> +
|
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Information on training: <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract>
|
||||
|
||||
SEE ALSO
|
||||
--------
|
||||
tesseract(1)
|
||||
|
||||
COPYING
|
||||
-------
|
||||
Copyright \(C) 2012 Google, Inc.
|
||||
Licensed under the Apache License, Version 2.0
|
||||
|
||||
AUTHOR
|
||||
------
|
||||
The Tesseract OCR engine was written by Ray Smith and his research groups
|
||||
at Hewlett Packard (1985-1995) and Google (2006-present).
|
||||
168
doc/text2image.1.asc
Normal file
168
doc/text2image.1.asc
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TEXT2IMAGE(1)
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=============
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:doctype: manpage
|
||||
|
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NAME
|
||||
----
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text2image - generate OCR training pages.
|
||||
|
||||
SYNOPSIS
|
||||
--------
|
||||
*text2image* --text 'FILE' --outputbase 'PATH' --fonts_dir 'PATH' [OPTION]
|
||||
|
||||
DESCRIPTION
|
||||
-----------
|
||||
text2image(1) generates OCR training pages. Given a text file it outputs an image with a given font and degradation.
|
||||
|
||||
OPTIONS
|
||||
-------
|
||||
'--text FILE'::
|
||||
File name of text input to use for creating synthetic training data. (type:string default:)
|
||||
|
||||
'--outputbase FILE'::
|
||||
Basename for output image/box file (type:string default:)
|
||||
|
||||
'--fontconfig_tmpdir PATH'::
|
||||
Overrides fontconfig default temporary dir (type:string default:/tmp)
|
||||
|
||||
'--fonts_dir PATH'::
|
||||
If empty it use system default. Otherwise it overrides system default font location (type:string default:)
|
||||
|
||||
'--font FONTNAME'::
|
||||
Font description name to use (type:string default:Arial)
|
||||
|
||||
'--writing_mode MODE'::
|
||||
Specify one of the following writing modes.
|
||||
'horizontal' : Render regular horizontal text. (default)
|
||||
'vertical' : Render vertical text. Glyph orientation is selected by Pango.
|
||||
'vertical-upright' : Render vertical text. Glyph orientation is set to be upright. (type:string default:horizontal)
|
||||
|
||||
'--tlog_level INT'::
|
||||
Minimum logging level for tlog() output (type:int default:0)
|
||||
|
||||
'--max_pages INT'::
|
||||
Maximum number of pages to output (0=unlimited) (type:int default:0)
|
||||
|
||||
'--degrade_image BOOL'::
|
||||
Degrade rendered image with speckle noise, dilation/erosion and rotation (type:bool default:true)
|
||||
|
||||
'--rotate_image BOOL'::
|
||||
Rotate the image in a random way. (type:bool default:true)
|
||||
|
||||
'--strip_unrenderable_words BOOL'::
|
||||
Remove unrenderable words from source text (type:bool default:true)
|
||||
|
||||
'--ligatures BOOL'::
|
||||
Rebuild and render ligatures (type:bool default:false)
|
||||
|
||||
'--exposure INT'::
|
||||
Exposure level in photocopier (type:int default:0)
|
||||
|
||||
'--resolution INT'::
|
||||
Pixels per inch (type:int default:300)
|
||||
|
||||
'--xsize INT'::
|
||||
Width of output image (type:int default:3600)
|
||||
|
||||
'--ysize INT'::
|
||||
Height of output image (type:int default:4800)
|
||||
|
||||
'--margin INT'::
|
||||
Margin round edges of image (type:int default:100)
|
||||
|
||||
'--ptsize INT'::
|
||||
Size of printed text (type:int default:12)
|
||||
|
||||
'--leading INT'::
|
||||
Inter-line space (in pixels) (type:int default:12)
|
||||
|
||||
'--box_padding INT'::
|
||||
Padding around produced bounding boxes (type:int default:0)
|
||||
|
||||
'--char_spacing DOUBLE'::
|
||||
Inter-character space in ems (type:double default:0)
|
||||
|
||||
'--underline_start_prob DOUBLE'::
|
||||
Fraction of words to underline (value in [0,1]) (type:double default:0)
|
||||
|
||||
'--underline_continuation_prob DOUBLE'::
|
||||
Fraction of words to underline (value in [0,1]) (type:double default:0)
|
||||
|
||||
'--render_ngrams BOOL'::
|
||||
Put each space-separated entity from the input file into one bounding box. The ngrams in the input file will be randomly permuted before rendering (so that there is sufficient variety of characters on each line). (type:bool default:false)
|
||||
|
||||
'--output_word_boxes BOOL'::
|
||||
Output word bounding boxes instead of character boxes. This is used for Cube training, and implied by --render_ngrams. (type:bool default:false)
|
||||
|
||||
'--unicharset_file FILE'::
|
||||
File with characters in the unicharset. If --render_ngrams is true and --unicharset_file is specified, ngrams with characters that are not in unicharset will be omitted (type:string default:)
|
||||
|
||||
'--bidirectional_rotation BOOL'::
|
||||
Rotate the generated characters both ways. (type:bool default:false)
|
||||
|
||||
'--only_extract_font_properties BOOL'::
|
||||
Assumes that the input file contains a list of ngrams. Renders each ngram, extracts spacing properties and records them in output_base/[font_name].fontinfo file. (type:bool default:false)
|
||||
|
||||
Use these flags to output zero-padded, square individual character images
|
||||
-------------------------------------------------------------------------
|
||||
|
||||
'--output_individual_glyph_images BOOL'::
|
||||
If true also outputs individual character images (type:bool default:false)
|
||||
|
||||
'--glyph_resized_size INT'::
|
||||
Each glyph is square with this side length in pixels (type:int default:0)
|
||||
|
||||
'--glyph_num_border_pixels_to_pad INT'::
|
||||
Final_size=glyph_resized_size+2*glyph_num_border_pixels_to_pad (type:int default:0)
|
||||
|
||||
Use these flags to find fonts that can render a given text
|
||||
----------------------------------------------------------
|
||||
|
||||
'--find_fonts BOOL'::
|
||||
Search for all fonts that can render the text (type:bool default:false)
|
||||
|
||||
'--render_per_font BOOL'::
|
||||
If find_fonts==true, render each font to its own image. Image filenames are of the form output_name.font_name.tif (type:bool default:true)
|
||||
|
||||
'--min_coverage DOUBLE'::
|
||||
If find_fonts==true, the minimum coverage the font has of the characters in the text file to include it, between 0 and 1. (type:double default:1)
|
||||
|
||||
Example Usage:
|
||||
```
|
||||
text2image --find_fonts \
|
||||
--fonts_dir /usr/share/fonts \
|
||||
--text ../langdata/hin/hin.training_text \
|
||||
--min_coverage .9 \
|
||||
--render_per_font \
|
||||
--outputbase ../langdata/hin/hin \
|
||||
|& grep raw | sed -e 's/ :.*/" \\/g' | sed -e 's/^/ "/' >../langdata/hin/fontslist.txt
|
||||
```
|
||||
|
||||
SINGLE OPTIONS
|
||||
--------------
|
||||
|
||||
'--list_available_fonts BOOL'::
|
||||
List available fonts and quit. (type:bool default:false)
|
||||
|
||||
HISTORY
|
||||
-------
|
||||
text2image(1) was first made available for tesseract 3.03.
|
||||
|
||||
RESOURCES
|
||||
---------
|
||||
Main web site: <https://github.com/tesseract-ocr> +
|
||||
Information on training tesseract LSTM: <https://github.com/tesseract-ocr/tesseract/wiki/TrainingTesseract-4.00>
|
||||
|
||||
SEE ALSO
|
||||
--------
|
||||
tesseract(1)
|
||||
|
||||
COPYING
|
||||
-------
|
||||
Copyright \(C) 2012 Google, Inc.
|
||||
Licensed under the Apache License, Version 2.0
|
||||
|
||||
AUTHOR
|
||||
------
|
||||
The Tesseract OCR engine was written by Ray Smith and his research groups
|
||||
at Hewlett Packard (1985-1995) and Google (2006-present).
|
||||
Loading…
Reference in New Issue
Block a user