"undefined symbol" indicate broken installation Zdenko
ne 29. 7. 2018 o 1:41 <[email protected]> napísal(a): > Updated the previous error was permission. I solved it no I have this > error > > > combine_tessdata: symbol lookup error: combine_tessdata: undefined symbol: > _Z7tprintfPKcz > > > > On Sunday, July 29, 2018 at 1:30:08 AM UTC+2, [email protected] > 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 >> >> >> >> -- > 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 [email protected]. > To post to this group, send email to [email protected]. > Visit this group at https://groups.google.com/group/tesseract-ocr. > To view this discussion on the web visit > https://groups.google.com/d/msgid/tesseract-ocr/b042135e-9bba-48ba-ad16-4185e89ab1b6%40googlegroups.com > <https://groups.google.com/d/msgid/tesseract-ocr/b042135e-9bba-48ba-ad16-4185e89ab1b6%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "tesseract-ocr" group. 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