I duplicated the tessdata and still getting this error

combine_tessdata -u /mnt/e/projects/Training_Tesseract/ocrd-train/usr/share/
tessdata/foo.traineddata  /mnt/e/projects/Training_Tesseract/ocrd-train/usr/
share/tessdata/foo.
Failed to read /mnt/e/projects/Training_Tesseract/ocrd-train/usr/share/
tessdata/foo.traineddata
Makefile:97: recipe for target 'data/unicharset' failed

 I can't found the foo.traineddata in this folder. 

 


On Sunday, July 29, 2018 at 5:19:05 PM UTC+2, chandra churh chatterjee 
wrote:
>
> keep the foo.traineddata inside the tessdata folder and then run the 
> command.
>
> On Sun, Jul 29, 2018 at 5:00 AM <[email protected] <javascript:>> 
> wrote:
>
>> I am using a bash script to train LSTM model. I have the images and box 
>> file.
>>
>>
>> My problem is the error returns when the command  combine_tessdata 
>> executed . also i have checked and no file called foo.traineddata created.
>>
>>
>> Here is the bash code .
>> export
>>
>>
>> SHELL := /bin/bash
>> LOCAL := $(PWD)/usr
>> PATH := $(LOCAL)/bin:$(PATH)
>> TESSDATA =  /usr/share/tesseract-ocr/tessdata
>> LANGDATA = $(PWD)/langdata
>>
>>
>> # Name of the model to be built. Default: $(MODEL_NAME)
>> MODEL_NAME = foo
>>
>>
>> # Name of the model to continue from. Default: $(CONTINUE_FROM)
>> CONTINUE_FROM = $(MODEL_NAME)
>>
>>
>> # 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 := 9ae97508aed1e5508458f1181b08501f984bf4e2
>>
>>
>> # Tesseract langdata version. Default: $(LANGDATA_VERSION)
>> LANGDATA_VERSION := master
>>
>>
>> # Tesseract model repo to use. Default: $(TESSDATA_REPO)
>> TESSDATA_REPO = _fast
>>
>>
>> # Train directory. Default: $(TRAIN)
>> TRAIN := data/train
>>
>>
>> # 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 "    langdata         Download langdata"
>>  @echo "    clean            Clean all generated files"
>>  @echo ""
>>  @echo "  Variables"
>>  @echo ""
>>  @echo "    MODEL_NAME         Name of the model to be built. Default: 
>> $(MODEL_NAME)"
>>  @echo "    CONTINUE_FROM      Name of the model to continue from. 
>> Default: $(CONTINUE_FROM)"
>>  @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 "    LANGDATA_VERSION   Tesseract langdata version. Default: 
>> $(LANGDATA_VERSION)"
>>  @echo "    TESSDATA_REPO      Tesseract model repo to use. Default: 
>> $(TESSDATA_REPO)"
>>  @echo "    TRAIN              Train directory. Default: $(TRAIN)"
>>  @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
>>
>>
>> data/unicharset: $(ALL_BOXES)
>>  combine_tessdata -u $(TESSDATA)/$(CONTINUE_FROM).traineddata  $(TESSDATA
>> )/$(CONTINUE_FROM).
>>  unicharset_extractor --output_unicharset "$(TRAIN)/my.unicharset" 
>> --norm_mode 
>> $(NORM_MODE) "$(ALL_BOXES)"
>>  merge_unicharsets $(TESSDATA)/$(CONTINUE_FROM).lstm-unicharset $(TRAIN)/
>> my.unicharset  "$@"
>>
>>
>> $(ALL_BOXES): $(sort $(patsubst %.tif,%.box,$(wildcard $(TRAIN)/*.tif)))
>>  find $(TRAIN) -name '*.box' -exec cat {} \; > "$@"
>>
>>
>> $(TRAIN)/%.box: $(TRAIN)/%.tif $(TRAIN)/%.gt.txt
>>  python3 generate_line_box.py -i "$(TRAIN)/$*.tif" -t 
>> "$(TRAIN)/$*.gt.txt" > "$@"
>>
>>
>> $(ALL_LSTMF): $(sort $(patsubst %.tif,%.lstmf,$(wildcard $(TRAIN)/*.tif)))
>>  find $(TRAIN) -name '*.lstmf' -exec echo {} \; | sort -R -o "$@"
>>
>>
>> $(TRAIN)/%.lstmf: $(TRAIN)/%.box
>>  tesseract $(TRAIN)/$*.tif $(TRAIN)/$* --psm $(PSM) lstm.train
>>
>>
>> # Build the proto model
>> proto-model: data/$(MODEL_NAME)/$(MODEL_NAME).traineddata
>>
>>
>> data/$(MODEL_NAME)/$(MODEL_NAME).traineddata: $(LANGDATA) data/unicharset
>>  combine_lang_model \
>>    --input_unicharset data/unicharset \
>>    --script_dir $(LANGDATA) \
>>    --output_dir data/ \
>>    --lang $(MODEL_NAME)
>>
>>
>> data/checkpoints/$(MODEL_NAME)_checkpoint: unicharset lists proto-model
>>  mkdir -p data/checkpoints
>>  lstmtraining \
>>    --traineddata data/$(MODEL_NAME)/$(MODEL_NAME).traineddata \
>>    --net_spec "[1,36,0,1 Ct3,3,16 Mp3,3 Lfys48 Lfx96 Lrx96 Lfx256 
>> O1c`head -n1 data/unicharset`]" \
>>    --model_output data/checkpoints/$(MODEL_NAME) \
>>    --learning_rate 20e-4 \
>>    --train_listfile data/list.train \
>>    --eval_listfile data/list.eval \
>>    --max_iterations 10000
>>
>>
>> data/$(MODEL_NAME).traineddata: data/checkpoints/$(MODEL_NAME)_checkpoint
>>  lstmtraining \
>>  --stop_training \
>>  --continue_from $^ \
>>  --traineddata data/$(MODEL_NAME)/$(MODEL_NAME).traineddata \
>>  --model_output $@
>>
>>
>> # Build leptonica
>> leptonica: leptonica.built
>>
>>
>> leptonica.built: leptonica-$(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
>>
>>
>> # Download langdata
>> langdata: $(LANGDATA)
>>
>>
>> $(LANGDATA):
>>  #wget '
>> https://github.com/tesseract-ocr/langdata/archive/$(LANGDATA_VERSION).zip
>> '
>>  unzip $(LANGDATA_VERSION).zip
>>
>>
>> $(TESSDATA)/eng.traineddata:
>>  cd $(TESSDATA) && wget 
>> https://github.com/tesseract-ocr/tessdata$(TESSDATA_REPO)/raw/master/$(notdir
>>  
>> $@)
>>
>>
>> # Clean all generated files
>> clean:
>>  find data/train -name '*.box' -delete
>>  find data/train -name '*.lstmf' -delete
>>  rm -rf data/all-*
>>  rm -rf data/list.*
>>  rm -rf data/$(MODEL_NAME)
>>  rm -rf data/unicharset
>>  rm -rf data/checkpoints
>>
>>
>> Also here is the error 
>>
>>
>> combine_tessdata -u /usr/share/tesseract-ocr/tessdata/foo.traineddata  /
>> usr/share/tesseract-ocr/tessdata/foo.
>> Failed to read /usr/share/tesseract-ocr/tessdata/foo.traineddata
>> Makefile:97: recipe for target 'data/unicharset' failed
>> make: *** [data/unicharset] Error 1
>>
>>
>>
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