first commit

.gitignore

@@ -0,0 +1,22 @@
+data/ground-truth/*
+!data/ground-truth/.gitkeep
+data/all-*
+data/list.*
+data/unicharset
+dta19-reduced
+dta19-reduced.tar.gz
+*.built
+tesseract-*
+leptonica-*
+*.BAK
+/usr
+data/checkpoints
+9ae97508aed1e5508458f1181b08501f984bf4e2.zip
+langdata-*
+data/test/*
+data/*.traineddata
+wackenroder_herzensergiessungen_*.gt.txt
+wackenroder_herzensergiessungen_*.tif
+master.zip
+node_modules
+package-lock.json

.pylintrc

@@ -0,0 +1,13 @@
+[MASTER]
+extension-pkg-whitelist=lxml
+ignored-modules=cv2,tesserocr
+
+[MESSAGES CONTROL]
+disable =
+    missing-docstring,
+    no-self-use,
+    too-many-arguments,
+    superfluous-parens,
+    invalid-name,
+    line-too-long,
+    too-few-public-methods,

LICENSE

@@ -0,0 +1,176 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
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+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
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+   END OF TERMS AND CONDITIONS

Makefile

@@ -0,0 +1,214 @@
+export
+
+SHELL := /bin/bash
+LOCAL := $(PWD)/usr
+PATH := $(LOCAL)/bin:$(PATH)
+TESSDATA =  $(LOCAL)/share/tessdata
+
+# Name of the model to be built. Default: $(MODEL_NAME)
+MODEL_NAME = foo
+
+# Name of the model to continue from. Default: '$(START_MODEL)'
+START_MODEL = 
+
+LAST_CHECKPOINT = data/checkpoints/$(MODEL_NAME)_checkpoint
+
+# Name of the proto model. Default: '$(PROTO_MODEL)'
+PROTO_MODEL = data/$(MODEL_NAME)/$(MODEL_NAME).traineddata
+
+# No of cores to use for compiling leptonica/tesseract. Default: $(CORES)
+CORES = 4
+
+# Leptonica version. Default: $(LEPTONICA_VERSION)
+LEPTONICA_VERSION := 1.75.3
+
+# Tesseract commit. Default: $(TESSERACT_VERSION)
+TESSERACT_VERSION := fd492062d08a2f55001a639f2015b8524c7e9ad4
+
+# Tesseract model repo to use. Default: $(TESSDATA_REPO)
+TESSDATA_REPO = _best
+
+# Ground truth directory. Default: $(GROUND_TRUTH_DIR)
+GROUND_TRUTH_DIR := data/ground-truth
+
+# Normalization Mode - see src/training/language_specific.sh for details. Default: $(NORM_MODE)
+NORM_MODE = 2
+
+# Page segmentation mode. Default: $(PSM)
+PSM = 6
+
+# Ratio of train / eval training data. Default: $(RATIO_TRAIN)
+RATIO_TRAIN := 0.90
+
+# BEGIN-EVAL makefile-parser --make-help Makefile
+
+help:
+	@echo ""
+	@echo "  Targets"
+	@echo ""
+	@echo "    unicharset       Create unicharset"
+	@echo "    lists            Create lists of lstmf filenames for training and eval"
+	@echo "    training         Start training"
+	@echo "    proto-model      Build the proto model"
+	@echo "    leptonica        Build leptonica"
+	@echo "    tesseract        Build tesseract"
+	@echo "    tesseract-langs  Download tesseract-langs"
+	@echo "    clean            Clean all generated files"
+	@echo ""
+	@echo "  Variables"
+	@echo ""
+	@echo "    MODEL_NAME         Name of the model to be built. Default: $(MODEL_NAME)"
+	@echo "    START_MODEL        Name of the model to continue from. Default: '$(START_MODEL)'"
+	@echo "    PROTO_MODEL        Name of the proto model. Default: '$(PROTO_MODEL)'"
+	@echo "    CORES              No of cores to use for compiling leptonica/tesseract. Default: $(CORES)"
+	@echo "    LEPTONICA_VERSION  Leptonica version. Default: $(LEPTONICA_VERSION)"
+	@echo "    TESSERACT_VERSION  Tesseract commit. Default: $(TESSERACT_VERSION)"
+	@echo "    TESSDATA_REPO      Tesseract model repo to use. Default: $(TESSDATA_REPO)"
+	@echo "    GROUND_TRUTH_DIR   Ground truth directory. Default: $(GROUND_TRUTH_DIR)"
+	@echo "    NORM_MODE          Normalization Mode - see src/training/language_specific.sh for details. Default: $(NORM_MODE)"
+	@echo "    PSM                Page segmentation mode. Default: $(PSM)"
+	@echo "    RATIO_TRAIN        Ratio of train / eval training data. Default: $(RATIO_TRAIN)"
+
+# END-EVAL
+
+ALL_BOXES = data/all-boxes
+ALL_LSTMF = data/all-lstmf
+
+# Create unicharset
+unicharset: data/unicharset
+
+# Create lists of lstmf filenames for training and eval
+lists: $(ALL_LSTMF) data/list.train data/list.eval
+
+data/list.train: $(ALL_LSTMF)
+	total=`cat $(ALL_LSTMF) | wc -l` \
+	   no=`echo "$$total * $(RATIO_TRAIN) / 1" | bc`; \
+	   head -n "$$no" $(ALL_LSTMF) > "$@"
+
+data/list.eval: $(ALL_LSTMF)
+	total=`cat $(ALL_LSTMF) | wc -l` \
+	   no=`echo "($$total - $$total * $(RATIO_TRAIN)) / 1" | bc`; \
+	   tail -n "$$no" $(ALL_LSTMF) > "$@"
+
+# Start training
+training: data/$(MODEL_NAME).traineddata
+
+ifdef START_MODEL
+data/unicharset: $(ALL_BOXES)
+	mkdir -p data/$(START_MODEL)
+	combine_tessdata -u $(TESSDATA)/$(START_MODEL).traineddata  data/$(START_MODEL)/$(START_MODEL)
+	unicharset_extractor --output_unicharset "$(GROUND_TRUTH_DIR)/my.unicharset" --norm_mode $(NORM_MODE) "$(ALL_BOXES)"
+	merge_unicharsets data/$(START_MODEL)/$(START_MODEL).lstm-unicharset $(GROUND_TRUTH_DIR)/my.unicharset  "$@"
+else
+data/unicharset: $(ALL_BOXES)
+	unicharset_extractor --output_unicharset "$@" --norm_mode 1 "$(ALL_BOXES)"
+endif
+
+$(ALL_BOXES): $(sort $(patsubst %.tif,%.box,$(wildcard $(GROUND_TRUTH_DIR)/*.tif)))
+	find $(GROUND_TRUTH_DIR) -name '*.box' -exec cat {} \; > "$@"
+
+$(GROUND_TRUTH_DIR)/%.box: $(GROUND_TRUTH_DIR)/%.tif $(GROUND_TRUTH_DIR)/%.gt.txt
+	python generate_line_box.py -i "$(GROUND_TRUTH_DIR)/$*.tif" -t "$(GROUND_TRUTH_DIR)/$*.gt.txt" > "$@"
+
+$(ALL_LSTMF): $(sort $(patsubst %.tif,%.lstmf,$(wildcard $(GROUND_TRUTH_DIR)/*.tif)))
+	find $(GROUND_TRUTH_DIR) -name '*.lstmf' -exec echo {} \; | sort -R -o "$@"
+
+$(GROUND_TRUTH_DIR)/%.lstmf: $(GROUND_TRUTH_DIR)/%.box
+	tesseract $(GROUND_TRUTH_DIR)/$*.tif $(GROUND_TRUTH_DIR)/$* --psm $(PSM) lstm.train
+
+# Build the proto model
+proto-model: $(PROTO_MODEL)
+
+$(PROTO_MODEL): data/unicharset data/radical-stroke.txt
+	combine_lang_model \
+	  --input_unicharset data/unicharset \
+	  --script_dir data/ \
+	  --output_dir data/ \
+	  --lang $(MODEL_NAME)
+
+ifdef START_MODEL
+$(LAST_CHECKPOINT): unicharset lists $(PROTO_MODEL)
+	mkdir -p data/checkpoints
+	lstmtraining \
+	  --traineddata $(PROTO_MODEL) \
+          --old_traineddata $(TESSDATA)/$(START_MODEL).traineddata \
+	  --continue_from data/$(START_MODEL)/$(START_MODEL).lstm \
+	  --net_spec "[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx256 O1c`head -n1 data/unicharset`]" \
+	  --model_output data/checkpoints/$(MODEL_NAME) \
+	  --learning_rate 20e-4 \
+	  --train_listfile data/list.train \
+	  --eval_listfile data/list.eval \
+	  --max_iterations 10000
+else
+$(LAST_CHECKPOINT): unicharset lists $(PROTO_MODEL)
+	mkdir -p data/checkpoints
+	lstmtraining \
+	  --traineddata $(PROTO_MODEL) \
+	  --net_spec "[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx256 O1c`head -n1 data/unicharset`]" \
+	  --model_output data/checkpoints/$(MODEL_NAME) \
+	  --learning_rate 20e-4 \
+	  --train_listfile data/list.train \
+	  --eval_listfile data/list.eval \
+	  --max_iterations 10000
+endif
+
+data/$(MODEL_NAME).traineddata: $(LAST_CHECKPOINT)
+	lstmtraining \
+	--stop_training \
+	--continue_from $(LAST_CHECKPOINT) \
+	--traineddata $(PROTO_MODEL) \
+	--model_output $@
+
+data/radical-stroke.txt:
+	wget -O$@ 'https://github.com/tesseract-ocr/langdata_lstm/raw/master/radical-stroke.txt'
+
+# Build leptonica
+leptonica: leptonica.built
+
+leptonica.built: leptonica-$(LEPTONICA_VERSION)
+	cd $< ; \
+		./configure --prefix=$(LOCAL) && \
+		make -j$(CORES) && \
+		make install && \
+		date > "$@"
+
+leptonica-$(LEPTONICA_VERSION): leptonica-$(LEPTONICA_VERSION).tar.gz
+	tar xf "$<"
+
+leptonica-$(LEPTONICA_VERSION).tar.gz:
+	wget 'http://www.leptonica.org/source/$@'
+
+# Build tesseract
+tesseract: tesseract.built tesseract-langs
+
+tesseract.built: tesseract-$(TESSERACT_VERSION)
+	cd $< && \
+		sh autogen.sh && \
+		PKG_CONFIG_PATH="$(LOCAL)/lib/pkgconfig" \
+		LEPTONICA_CFLAGS="-I$(LOCAL)/include/leptonica" \
+			./configure --prefix=$(LOCAL) && \
+		LDFLAGS="-L$(LOCAL)/lib"\
+			make -j$(CORES) && \
+		make install && \
+		make -j$(CORES) training-install && \
+		date > "$@"
+
+tesseract-$(TESSERACT_VERSION):
+	wget https://github.com/tesseract-ocr/tesseract/archive/$(TESSERACT_VERSION).zip
+	unzip $(TESSERACT_VERSION).zip
+
+# Download tesseract-langs
+tesseract-langs: $(TESSDATA)/eng.traineddata
+
+$(TESSDATA)/eng.traineddata:
+	cd $(TESSDATA) && wget https://github.com/tesseract-ocr/tessdata$(TESSDATA_REPO)/raw/master/$(notdir $@)
+
+# Clean all generated files
+clean:
+	find $(GROUND_TRUTH_DIR) -name '*.box' -delete
+	find $(GROUND_TRUTH_DIR) -name '*.lstmf' -delete
+	rm -rf data/all-*
+	rm -rf data/list.*
+	rm -rf data/$(MODEL_NAME)
+	rm -rf data/unicharset
+	rm -rf data/checkpoints

README.md

@@ -0,0 +1,108 @@
+# ocrd-train
+
+> Training workflow for Tesseract 4 as a Makefile for dependency tracking and building the required software from source.
+
+## Install
+
+### leptonica, tesseract
+
+You will need a recent version (>= 4.0.0beta1) of tesseract built with the
+training tools and matching leptonica bindings.
+[Build](https://github.com/tesseract-ocr/tesseract/wiki/Compiling)
+[instructions](https://github.com/tesseract-ocr/tesseract/wiki/Compiling-%E2%80%93-GitInstallation)
+and more can be found in the [Tesseract project
+wiki](https://github.com/tesseract-ocr/tesseract/wiki/).
+
+Alternatively, you can build leptonica and tesseract within this project and install it to a subdirectory `./usr` in the repo:
+
+```sh
+  make leptonica tesseract
+```
+
+Tesseract will be built from the git repository, which requires CMake,
+autotools (including autotools-archive) and some additional libraries for the
+training tools. See the [installation notes in the tesseract
+repository](https://github.com/tesseract-ocr/tesseract/blob/master/INSTALL.GIT.md).
+
+<!-- radical-stroke will be fetched as requirement to proto-model, kba Wed Jan 30 10:58:10 CET 2019
+
+### language data
+
+Tesseract expects some configuration data (a file `fadical-stroke.txt`). To fetch it:
+
+``` sh
+  make langdata
+```
+
+-->
+
+## Provide ground truth
+
+Place ground truth consisting of line images and transcriptions in the folder
+`data/ground-truth`. This list of files will be split into training and
+evaluation data, the ratio is defined by the `RATIO_TRAIN` variable.
+
+Images must be TIFF and have the extension `.tif`.
+
+Transcriptions must be single-line plain text and have the same name as the
+line image but with `.tif` replaced by `.gt.txt`.
+
+The repository contains a ZIP archive with sample ground truth, see
+[ocrd-testset.zip](./ocrd-testset.zip). Extract it to `./data/ground-truth` and run
+`make training`.
+
+**NOTE:** If you want to generate line images for transcription from a full
+page, see tips in [issue 7](https://github.com/OCR-D/ocrd-train/issues/7) and
+in particular [@Shreeshrii's shell
+script](https://github.com/OCR-D/ocrd-train/issues/7#issuecomment-419714852).
+
+## Train
+
+```
+ make training MODEL_NAME=name-of-the-resulting-model
+```
+
+which is basically a shortcut for
+
+```
+   make unicharset lists proto-model training
+```
+
+Run `make help` to see all the possible targets and variables:
+
+<!-- BEGIN-EVAL -w '```' '```' -- make help -->
+```
+
+  Targets
+
+    unicharset       Create unicharset
+    lists            Create lists of lstmf filenames for training and eval
+    training         Start training
+    proto-model      Build the proto model
+    leptonica        Build leptonica
+    tesseract        Build tesseract
+    tesseract-langs  Download tesseract-langs
+    clean            Clean all generated files
+
+  Variables
+
+    MODEL_NAME         Name of the model to be built. Default: foo
+    START_MODEL        Name of the model to continue from. Default: ''
+    PROTO_MODEL        Name of the proto model. Default: 'data/foo/foo.traineddata'
+    CORES              No of cores to use for compiling leptonica/tesseract. Default: 4
+    LEPTONICA_VERSION  Leptonica version. Default: 1.75.3
+    TESSERACT_VERSION  Tesseract commit. Default: fd492062d08a2f55001a639f2015b8524c7e9ad4
+    TESSDATA_REPO      Tesseract model repo to use. Default: _fast
+    GROUND_TRUTH_DIR   Ground truth directory. Default: data/ground-truth
+    NORM_MODE          Normalization Mode - see src/training/language_specific.sh for details. Default: 2
+    PSM                Page segmentation mode. Default: 6
+    RATIO_TRAIN        Ratio of train / eval training data. Default: 0.90
+```
+
+<!-- END-EVAL -->
+
+## License
+
+Software is provided under the terms of the `Apache 2.0` license.
+
+Sample training data provided by [Deutsches Textarchiv](https://deutschestextarchiv.de) is [in the public domain](http://creativecommons.org/publicdomain/mark/1.0/).

data/pubg/pubg.charset_size=27.txt

@@ -0,0 +1,21 @@
+0	 
+26	<nul>
+1	3
+2	0
+3	2
+4	9
+5	7
+6	.
+19,21,23	分
+17,20,24,25	钟
+7	1
+18,22,24	第
+8	6
+9	8
+10	4
+11	/
+12	5
+13	a
+14	s
+15	c
+16	i

data/pubg/pubg.charset_size=4.txt

@@ -0,0 +1,2 @@
+0	 
+3	<nul>

data/pubg/pubg.unicharset

@@ -0,0 +1,23 @@
+22
+NULL 0 Common 0
+Joined 7 0,255,0,255,0,0,0,0,0,0 Latin 1 0 1 Joined	# Joined [4a 6f 69 6e 65 64 ]a
+|Broken|0|1 15 0,255,0,255,0,0,0,0,0,0 Common 2 10 2 |Broken|0|1	# Broken
+3 8 0,255,0,255,0,0,0,0,0,0 Common 3 2 3 3	# 3 [33 ]0
+0 8 0,255,0,255,0,0,0,0,0,0 Common 4 2 4 0	# 0 [30 ]0
+2 8 0,255,0,255,0,0,0,0,0,0 Common 5 2 5 2	# 2 [32 ]0
+9 8 0,255,0,255,0,0,0,0,0,0 Common 6 2 6 9	# 9 [39 ]0
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+. 16 0,255,0,255,0,0,0,0,0,0 Common 8 6 8 .	# . [2e ]p
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generate_line_box.py

@@ -0,0 +1,46 @@
+#!/usr/bin/env python
+#coding=utf-8
+import io
+import argparse
+import unicodedata
+from PIL import Image
+import sys
+reload(sys) 
+sys.setdefaultencoding('utf8')
+#
+# command line arguments
+#
+arg_parser = argparse.ArgumentParser('''Creates tesseract box files for given (line) image text pairs''')
+
+# Text ground truth
+arg_parser.add_argument('-t', '--txt', nargs='?', metavar='TXT', help='Line text (GT)', required=True)
+
+# Image file
+arg_parser.add_argument('-i', '--image', nargs='?', metavar='IMAGE', help='Image file', required=True)
+
+args = arg_parser.parse_args()
+
+#
+# main
+#
+
+# load image
+with open(args.image, "rb") as f:
+    width, height = Image.open(f).size
+
+# load gt
+with io.open(args.txt, "r", encoding='utf-8') as f:
+    lines = f.read().strip().split('\n')
+
+for line in lines:
+    if line.strip():
+        for i in range(1, len(line)):
+            char = line[i]
+            prev_char = line[i-1]
+            if unicodedata.combining(char):
+                print(u"%s %d %d %d %d 0" % ((prev_char + char), 0, 0, width, height))
+            elif not unicodedata.combining(prev_char):
+                print(u"%s %d %d %d %d 0" % (prev_char, 0, 0, width, height))
+        if not unicodedata.combining(line[-1]):
+            print(u"%s %d %d %d %d 0" % (line[-1], 0, 0, width, height))
+        print(u"%s %d %d %d %d 0" % ("\t", width, height, width+1, height+1))

index.js

@@ -0,0 +1,63 @@
+const fs = require('fs')
+const path = require('path')
+const Canvas = require('canvas')
+const exec = require('child_process').execSync
+const sharp = require('sharp')
+Canvas.registerFont('/Users/drew/Library/Fonts/pubg.ttf', { family: 'pubg' })
+var canvas0 = Canvas.createCanvas(320, 320)
+var ctx0 = canvas0.getContext('2d')
+ctx0.font = '30px pubg'
+let count = 0;
+const genGtData = (str) => {
+    let metrics = ctx0.measureText(str)
+    var canvas = Canvas.createCanvas(metrics.width + 10, metrics.actualBoundingBoxAscent + metrics.actualBoundingBoxDescent + 10)
+    var ctx = canvas.getContext('2d')
+    ctx.fillStyle = '#ffffff'
+    ctx.fillRect(0, 0, metrics.width + 10, metrics.actualBoundingBoxAscent + metrics.actualBoundingBoxDescent + 10)
+    ctx.font = '30px pubg'
+    ctx.fillStyle = '#000000'
+    ctx.fillText(str, 5, 5 + metrics.actualBoundingBoxAscent)
+
+    var img_src = canvas.toBuffer().toString('base64')
+    const base64Data = new Buffer(img_src.replace(/^data:image\/\w+;base64,/, ""), 'base64')
+    sharp(base64Data)
+        .tiff({
+            compression: 'lzw',
+            squash: true
+        })
+        .toFile(`/Users/drew/Projects/ocrd-train/data/ground-truth/${count}.tif`)
+        .then(res => {
+            console.log(res)
+        })
+    fs.writeFileSync(`/Users/drew/Projects/ocrd-train/data/ground-truth/${count}.gt.txt`, str + '\n');
+    count++
+}
+
+for (i = 0; i < 200; i++) {
+    let str = ''
+    for (let j = 0; j < 1 + Math.round(Math.random() * 10); j++) {
+        switch (Math.round(Math.random() * 3)) {
+            case 0:
+                let num = (Math.random() * 40).toFixed(1);
+                if (num.endsWith('.0')) {
+                    num = num.replace('.0', '')
+                }
+                str += `${num}分钟  `
+                break
+            case 1:
+                str += `第${parseInt(Math.random() * 100 + 1)}  `
+                break
+            case 2:
+                let s = i.toFixed(1);
+                if (s.endsWith('.0')) {
+                    s = s.replace('.0', '')
+                }
+                str += `${s}  `
+                break
+            case 3:
+                str += `/${parseInt(Math.random() * 100 + 1)}  `
+                break
+        }
+    }
+    genGtData(str)
+}

package.json

@@ -0,0 +1,23 @@
+{
+  "name": "ocrd-train",
+  "version": "1.0.0",
+  "description": "> Training workflow for Tesseract 4 as a Makefile for dependency tracking and building the required software from source.",
+  "main": "index.js",
+  "scripts": {
+    "test": "echo \"Error: no test specified\" && exit 1"
+  },
+  "repository": {
+    "type": "git",
+    "url": "git+https://github.com/OCR-D/ocrd-train.git"
+  },
+  "author": "",
+  "license": "ISC",
+  "bugs": {
+    "url": "https://github.com/OCR-D/ocrd-train/issues"
+  },
+  "homepage": "https://github.com/OCR-D/ocrd-train#readme",
+  "dependencies": {
+    "canvas": "^2.5.0",
+    "sharp": "^0.22.1"
+  }
+}