Repository: Shreeshrii/tessdata_shreetest
Branch: master
Commit: 226419f02431
Files: 29
Total size: 122.1 MB
Directory structure:
gitextract_o6nios1q/
├── README.md
├── ara-amiri-3000.traineddata
├── brah.traineddata
├── digits-finetune-makedata.sh
├── digits-finetune.sh
├── digits.traineddata
├── digits1.traineddata
├── digits_comma.traineddata
├── digits_layer.traineddata
├── digitsall_layer.sh
├── digitsall_layer.traineddata
├── dotslayer.traineddata
├── eng.digits.numbers
├── eng.digits.punc
├── eng.digits.training_text
├── engmorse.traineddata
├── engrestrict-finetune.sh
├── engrestrict-makedata.sh
├── engrestrict.training_text
├── engrestrict_best.traineddata
├── engrestrict_best_int.traineddata
├── fas-minus-float.traineddata
├── fas-plus-float.traineddata
├── fas-script-float.traineddata
├── fas-tune-float.traineddata
├── frk.traineddata
├── mya430000.traineddata
├── san-chandas-float.traineddata
└── san-siddhanta-float.traineddata
================================================
FILE CONTENTS
================================================
================================================
FILE: README.md
================================================
# tessdata_shreetest
finetuned traineddata files for tesseract 4.0.0 for testing
### digits.traineddata
* float model
* finetuned with about 10 [Non-italic fonts from the list](https://github.com/Shreeshrii/tessdata_shreetest/issues/1#issuecomment-425947492)
* finetuned with 3000 iterations from tessdata_best/eng.traineddata
* unicharset has digits 0-9, dash sign and decimal point
### digits1.traineddata
* float model
* finetuned with Arial font
* finetuned with 300 iterations from tessdata_best/eng.traineddata
* unicharset has digits 0-9, dash sign and decimal point
### digits_comma.traineddata
* float model
* finetuned with 27 fonts listed in [comment](https://github.com/Shreeshrii/tessdata_shreetest/issues/1#issuecomment-425947492)
* finetuned with 3000 iterations from tessdata_best/eng.traineddata
* unicharset has digits 0-9, dash sign, decimal point and comma
================================================
FILE: ara-amiri-3000.traineddata
================================================
[File too large to display: 13.0 MB]
================================================
FILE: digits-finetune-makedata.sh
================================================
#!/bin/bash
~/tesseract/src/training/tesstrain.sh \
--fonts_dir ~/.fonts \
--lang eng --linedata_only \
--noextract_font_properties \
--langdata_dir ~/langdata \
--tessdata_dir ~/tessdata_best \
--training_text ./eng.digits.training_text \
--workspace_dir ~/tmp \
--output_dir ~/tesstutorial/digits \
--fontlist \
"Arial Bold" \
"Arial" \
"Courier New Bold" \
"Courier New" \
"Times New Roman, Bold" \
"Times New Roman," \
"Georgia Bold" \
"Georgia" \
"Trebuchet MS Bold" \
"Trebuchet MS" \
"Verdana Bold" \
"Verdana" \
"FreeSerif" \
"FreeMono" \
"FreeSans"
rm -rf ~/tesstutorial/digits_from_full
================================================
FILE: digits-finetune.sh
================================================
#!/bin/bash
echo "/n ****** Finetune one of the fully-trained existing models: ***********"
##########rm -rf ~/tesstutorial/digits_from_full
mkdir -p ~/tesstutorial/digits_from_full
combine_tessdata -e ~/tessdata_best/eng.traineddata \
~/tesstutorial/digits_from_full/eng.lstm
lstmtraining \
--model_output ~/tesstutorial/digits_from_full/digits_plus \
--traineddata ~/tesstutorial/digits/eng/eng.traineddata \
--continue_from ~/tesstutorial/digits_from_full/eng.lstm \
--old_traineddata ~/tessdata_best/eng.traineddata \
--train_listfile ~/tesstutorial/digits/eng.training_files.txt \
--debug_interval -1 \
--max_iterations 3000
lstmtraining \
--stop_training \
--traineddata ~/tesstutorial/digits/eng/eng.traineddata \
--continue_from ~/tesstutorial/digits_from_full/digits_plus_checkpoint \
--model_output digits_plus.traineddata
lstmeval --model ~/tessdata_best/eng.traineddata --eval_listfile ~/tesstutorial/digits/eng.training_files.txt
lstmeval --model ~/tessdata_best/script/Latin.traineddata --eval_listfile ~/tesstutorial/digits/eng.training_files.txt
lstmeval --model ~/tesstutorial/digits_from_full/digits_plus_checkpoint --traineddata ~/tesstutorial/digits/eng/eng.traineddata --eval_listfile ~/tesstutorial/digits/eng.training_files.txt
================================================
FILE: digits.traineddata
================================================
[File too large to display: 10.8 MB]
================================================
FILE: digits1.traineddata
================================================
[File too large to display: 10.8 MB]
================================================
FILE: digits_comma.traineddata
================================================
[File too large to display: 10.8 MB]
================================================
FILE: digitsall_layer.sh
================================================
#!/bin/bash
echo -e "\n ****** Finetune one of the fully-trained existing models: ***********"
~/tesseract/src/training/tesstrain.sh \
--fonts_dir ~/.fonts \
--lang eng --linedata_only \
--noextract_font_properties \
--langdata_dir ~/langdata \
--tessdata_dir ~/tessdata_best \
--training_text ./eng.digits.training_text \
--exposures "0" \
--save_box_tiff \
--distort_image true \
--maxpages 0 \
--workspace_dir ~/tmp \
--output_dir ~/tesstutorial/digitsalldistort \
--fontlist \
"Adobe Devanagari" \
"Akchyarunicode" \
"Aksharyogini2" \
"Amiri" \
"Annapurna SIL Bold" \
"Annapurna SIL" \
"Antinoou" \
"Arial Bold Italic" \
"Arial Bold" \
"Arial Condensed" \
"Arial Heavy" \
"Arial Italic" \
"Arial Unicode MS" \
"Arial" \
"Awami Nastaliq" \
"Book Antiqua Bold Italic" \
"Book Antiqua Bold" \
"Book Antiqua Italic" \
"Book Antiqua" \
"Bookman Old Style Light Italic" \
"Bookman Old Style Light" \
"Bookman Old Style Semi-Bold Italic" \
"Bookman Old Style Semi-Bold" \
"Calibri Bold Italic" \
"Calibri Bold" \
"Calibri Italic" \
"Calibri Light Italic" \
"Calibri Light" \
"Calibri" \
"Cambria Bold Italic" \
"Cambria Bold" \
"Cambria Italic" \
"Candara Bold Italic" \
"Candara Bold" \
"Candara Italic" \
"Candara" \
"Century Gothic Bold Italic" \
"Century Gothic Bold" \
"Century Gothic Italic" \
"Century Gothic" \
"Century Schoolbook Bold Italic" \
"Century Schoolbook Bold" \
"Century Schoolbook Italic" \
"Century Schoolbook" \
"Century" \
"Chandas" \
"Comic Sans MS Bold Italic" \
"Comic Sans MS Bold" \
"Comic Sans MS Italic" \
"Comic Sans MS" \
"Consolas Bold Italic" \
"Consolas Bold" \
"Consolas Italic" \
"Consolas" \
"Constantia Bold Italic" \
"Constantia Bold" \
"Constantia Italic" \
"Constantia" \
"Corbel Bold Italic" \
"Corbel Bold" \
"Corbel Italic" \
"Corbel" \
"Courier New Bold Italic" \
"Courier New Bold" \
"Courier New Italic" \
"Courier New" \
"Ebrima Bold" \
"Ebrima" \
"Ek Mukta Bold" \
"Ek Mukta Light" \
"Ek Mukta Medium" \
"Ek Mukta Semi-Bold" \
"Ek Mukta Ultra-Bold" \
"Ek Mukta" \
"Franklin Gothic Medium, Italic" \
"Franklin Gothic Medium," \
"FreeMono Bold Italic" \
"FreeMono Bold" \
"FreeMono Italic" \
"FreeMono" \
"FreeSans Italic" \
"FreeSans Semi-Bold Italic" \
"FreeSans Semi-Bold" \
"FreeSans" \
"FreeSerif Bold Italic" \
"FreeSerif Bold" \
"FreeSerif Italic" \
"FreeSerif" \
"FreeSerifAthanasius" \
"FreeSerifAvvaShenouda" \
"FreeSerifCopt" \
"FreeSerifCopticMS" \
"FreeSerifCoptoMS" \
"FreeSerifKoptosMS" \
"FreeSerifPishoi" \
"Gabriola" \
"Gadugi Bold" \
"Gadugi" \
"Garamond Bold" \
"Garamond Italic" \
"Garamond" \
"Georgia Bold Italic" \
"Georgia Bold" \
"Georgia Italic" \
"Georgia" \
"IFAO-Grec Unicode Bold" \
"IFAO-Grec Unicode" \
"Impact Condensed" \
"Javanese Text" \
"K24 Kurdish Light, Light" \
"Kristen ITC Semi-Expanded" \
"Leelawadee UI Bold" \
"Leelawadee UI Semi-Light" \
"Leelawadee UI" \
"Lohit Devanagari" \
"Lucida Console Semi-Condensed" \
"Lucida Sans Unicode" \
"MS Reference Sans Serif" \
"MV Boli" \
"Microsoft New Tai Lue Bold" \
"Microsoft New Tai Lue" \
"Microsoft PhagsPa Bold" \
"Microsoft PhagsPa" \
"Microsoft Sans Serif" \
"Microsoft Tai Le Bold" \
"Microsoft Tai Le" \
"Mistral" \
"Monotype Corsiva Italic" \
"Myanmar Text Bold" \
"Myanmar Text" \
"NRT Reg" \
"Nakula" \
"Nawatura beta" \
"New Athena Unicode Bold Italic" \
"New Athena Unicode Bold" \
"New Athena Unicode Italic" \
"New Athena Unicode" \
"New Kramawirya" \
"Nirmala UI Bold" \
"Nirmala UI Semi-Light" \
"Nirmala UI" \
"Palatino Linotype Bold Italic" \
"Palatino Linotype Bold" \
"Palatino Linotype Italic" \
"Palatino Linotype" \
"Prada" \
"Pringgandani" \
"Pristina" \
"RudawRegular" \
"SILDoulos PigLatinDemo" \
"Sahadeva" \
"Sahel" \
"Sakkal Majalla" \
"Segoe Print Bold" \
"Segoe Print" \
"Segoe Script Bold" \
"Segoe Script" \
"Segoe UI Bold Italic" \
"Segoe UI Bold" \
"Segoe UI Emoji" \
"Segoe UI Heavy Italic" \
"Segoe UI Heavy" \
"Segoe UI Italic" \
"Segoe UI Light Italic" \
"Segoe UI Light" \
"Segoe UI Semi-Bold Italic" \
"Segoe UI Semi-Bold" \
"Segoe UI Semi-Light Italic" \
"Segoe UI Semi-Light" \
"Segoe UI Symbol" \
"Segoe UI" \
"Shobhika Bold" \
"Shobhika" \
"Siddhanta" \
"Siddhanta-Calcutta" \
"Siddhanta-Nepali" \
"Siddhanta-cakravat" \
"Sylfaen" \
"Symbola Semi-Condensed" \
"Tahoma Bold" \
"Tahoma" \
"Times New Roman, Bold Italic" \
"Times New Roman, Bold" \
"Times New Roman, Italic" \
"Times New Roman," \
"Trebuchet MS Bold Italic" \
"Trebuchet MS Bold" \
"Trebuchet MS Italic" \
"Trebuchet MS" \
"Unikurd Goran" \
"Unikurd Hejar" \
"Unikurd Roonak" \
"Unikurd Web" \
"Urdu Typesetting" \
"Uttara" \
"Verdana Bold Italic" \
"Verdana Bold" \
"Verdana Italic" \
"Verdana" \
rm -rf ~/tesstutorial/digitsalldistort_from_full
mkdir -p ~/tesstutorial/digitsall_from_full
combine_tessdata -e ~/tessdata_best/eng.traineddata \
~/tesstutorial/digitsall_from_full/eng.lstm
lstmtraining \
--model_output ~/tesstutorial/digitsall_from_full/digitsall_layer \
--traineddata ~/tesstutorial/digitsall/eng/eng.traineddata \
--continue_from ~/tesstutorial/digitsall_from_full/eng.lstm \
--append_index 5 --net_spec '[Lfx192 O1c1]' \
--train_listfile ~/tesstutorial/digitsall/eng.training_files.txt \
--debug_interval 0 \
--max_iterations 200000
lstmtraining \
--stop_training \
--traineddata ~/tesstutorial/digitsall/eng/eng.traineddata \
--continue_from ~/tesstutorial/digitsall_from_full/digitsall_layer_checkpoint \
--model_output digitsall_layer.traineddata
cp digitsall_layer.traineddata ~/tessdata_best/
## lstmeval --model ~/tessdata_best/eng.traineddata --eval_listfile ~/tesstutorial/digitsall/eng.training_files.txt
## lstmeval --verbosity 0 --model ~/tesstutorial/digitsall_from_full/digitsall_layer_checkpoint --traineddata ~/tesstutorial/digitsall/eng/eng.traineddata --eval_listfile ~/tesstutorial/digitsall/eng.training_files.txt
================================================
FILE: eng.digits.numbers
================================================
-
.
.
. .
.
.
.
. .
.
.
.
. .
. .
.
.
.
.
. .
. .
. . .
-
-
-
-
- .
- .
- .
.
================================================
FILE: eng.digits.punc
================================================
.
-
================================================
FILE: eng.digits.training_text
================================================
14.16
24)
-832.36
17.54)
7/16/1892
16.4)
7.31
68921-2802
(68.66)
8.5)
49526,30
9-1
28/05/1764
13.64)
12
-502.95
12.7
15.81)
25/01/1974 20:23:46
1658
9-13
18.30
4.70)
7-31
3.54
5.40
48.
18.26)
-560.25
295.92
8.32
9.80)
8.35
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2.27)
14.46)
16.63
11.62)
4-21
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11.51)
18.13)
246529
19.67)
13.44
20.19
1203579.
151.00
13.73
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59,30
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7/11/2014
291
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5.59)
(85.16)
6957
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021833460 10
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11.61)
10/12/1939
8 0 88 99 8.87
(416.45)
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-643.31
15.57
789
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1,234,567,89.
14320
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06/2028
-33.47
(644.56)
12.1
46
110,00,00,00,00
59,34
14.9
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7/21/2043 04:27:35
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2.64
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29/04/1914 01:05:05
19.89
19.56
-304.38
438522
1.51
3-62
-437.99
1113
26)
17.80)
7/22/1913
-554.40
16.18
112.24
134.73
0.53
54.
18.76
(558.27)
186)
4-37
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5-95
6.65
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28/10/1918
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1474
================================================
FILE: engmorse.traineddata
================================================
[File too large to display: 11.9 MB]
================================================
FILE: engrestrict-finetune.sh
================================================
#!/bin/bash
echo "/n ****** Finetune one of the fully-trained existing models: ***********"
mkdir -p ./engrestrict_from_full
combine_tessdata -e ~/tessdata_best/eng.traineddata \
./engrestrict_from_full/eng.lstm
lstmtraining \
--model_output ./engrestrict_from_full/engrestrict_plus \
--traineddata ./engrestrict/eng/eng.traineddata \
--continue_from ./engrestrict_from_full/eng.lstm \
--old_traineddata ~/tessdata_best/eng.traineddata \
--train_listfile ./engrestrict/eng.training_files.txt \
--debug_interval -1 \
--max_iterations 400
lstmtraining \
--stop_training \
--traineddata ./engrestrict/eng/eng.traineddata \
--continue_from ./engrestrict_from_full/engrestrict_plus_checkpoint \
--model_output ./engrestrict_plus.traineddata
OMP_THREAD_LIMIT=1 lstmeval \
--model ./engrestrict_from_full/engrestrict_plus_checkpoint \
--traineddata ./engrestrict/eng/eng.traineddata \
--eval_listfile ./engrestrict/eng.training_files.txt
OMP_THREAD_LIMIT=1 lstmeval \
--verbosity 0 \
--model ~/tessdata_best/eng.traineddata \
--eval_listfile ./engrestrict/eng.training_files.txt
================================================
FILE: engrestrict-makedata.sh
================================================
#!/bin/bash
rm -rf ./engrestrict
~/tesseract/src/training/tesstrain.sh \
--fonts_dir ~/.fonts \
--lang eng --linedata_only \
--noextract_font_properties \
--langdata_dir ~/langdata \
--tessdata_dir ~/tessdata_best \
--training_text ./engrestrict.training_text \
--exposures "0" \
--save_box_tiff \
--maxpages 0 \
--workspace_dir ~/tmp \
--output_dir ./engrestrict \
--fontlist \
"Andale Mono" \
"Anonymous Pro" \
"Bitstream Vera Sans Mono" \
"Consolas" \
"Courier New Bold" \
"Courier New" \
"Cousine" \
"Cutive Mono" \
"DejaVu Sans Mono" \
"Fira Mono" \
"FreeMono" \
"IBM Plex Mono" \
"Inconsolata" \
"Letter Gothic Std" \
"Liberation Mono" \
"Lucida Console Semi-Condensed" \
"Lucida Sans Typewriter Semi-Condensed" \
"Merchant Copy Doublesize" \
"Merchant Copy" \
"Miriam Mono CLM" \
"Noto Mono" \
"PT Mono" \
"QuickType II Mono" \
"Source Code Pro" \
"Space Mono" \
"Ubuntu Mono"
rm -rf ./engrestrict_from_full
================================================
FILE: engrestrict.training_text
================================================
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================================================
FILE: engrestrict_best.traineddata
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[File too large to display: 14.4 MB]
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FILE: frk.traineddata
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[File too large to display: 16.8 MB]
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FILE: san-chandas-float.traineddata
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[File too large to display: 16.8 MB]
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FILE: san-siddhanta-float.traineddata
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[File too large to display: 16.8 MB]
gitextract_o6nios1q/ ├── README.md ├── ara-amiri-3000.traineddata ├── brah.traineddata ├── digits-finetune-makedata.sh ├── digits-finetune.sh ├── digits.traineddata ├── digits1.traineddata ├── digits_comma.traineddata ├── digits_layer.traineddata ├── digitsall_layer.sh ├── digitsall_layer.traineddata ├── dotslayer.traineddata ├── eng.digits.numbers ├── eng.digits.punc ├── eng.digits.training_text ├── engmorse.traineddata ├── engrestrict-finetune.sh ├── engrestrict-makedata.sh ├── engrestrict.training_text ├── engrestrict_best.traineddata ├── engrestrict_best_int.traineddata ├── fas-minus-float.traineddata ├── fas-plus-float.traineddata ├── fas-script-float.traineddata ├── fas-tune-float.traineddata ├── frk.traineddata ├── mya430000.traineddata ├── san-chandas-float.traineddata └── san-siddhanta-float.traineddata
Condensed preview — 29 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (94K chars).
[
{
"path": "README.md",
"chars": 880,
"preview": "# tessdata_shreetest\nfinetuned traineddata files for tesseract 4.0.0 for testing\n\n### digits.traineddata\n* float model\n*"
},
{
"path": "digits-finetune-makedata.sh",
"chars": 670,
"preview": "#!/bin/bash\n\n~/tesseract/src/training/tesstrain.sh \\\n --fonts_dir ~/.fonts \\\n --lang eng --linedata_only \\\n --noextra"
},
{
"path": "digits-finetune.sh",
"chars": 1310,
"preview": "#!/bin/bash\necho \"/n ****** Finetune one of the fully-trained existing models: ***********\"\n\n##########rm -rf ~/tesstuto"
},
{
"path": "digitsall_layer.sh",
"chars": 6295,
"preview": "#!/bin/bash\necho -e \"\\n ****** Finetune one of the fully-trained existing models: ***********\"\n\n\n~/tesseract/src/trainin"
},
{
"path": "eng.digits.numbers",
"chars": 287,
"preview": " \n \n \n \n \n \n \n \n \n - \n . \n . \n . . \n . \n . \n . \n "
},
{
"path": "eng.digits.punc",
"chars": 7,
"preview": " \n. \n- "
},
{
"path": "eng.digits.training_text",
"chars": 65593,
"preview": "14.16 \n24)\n-832.36\n17.54)\n7/16/1892\n16.4)\n7.31 \n68921-2802\n(68.66)\n8.5)\n49526,30\n9-1\n28/05/1764\n13.64)\n12\n-502.95\n12.7 \n"
},
{
"path": "engrestrict-finetune.sh",
"chars": 1121,
"preview": "#!/bin/bash\n\necho \"/n ****** Finetune one of the fully-trained existing models: ***********\"\n\nmkdir -p ./engrestrict_fro"
},
{
"path": "engrestrict-makedata.sh",
"chars": 945,
"preview": "#!/bin/bash\n\nrm -rf ./engrestrict\n\n~/tesseract/src/training/tesstrain.sh \\\n --fonts_dir ~/.fonts \\\n --lang eng --lined"
},
{
"path": "engrestrict.training_text",
"chars": 6515,
"preview": "different New Articles page 23 a To Service a details DC that don t as 7 Date 1 AZ \nMusic am search this Please time eac"
}
]
// ... and 19 more files (download for full content)
About this extraction
This page contains the full source code of the Shreeshrii/tessdata_shreetest GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 29 files (122.1 MB), approximately 46.2k tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.