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Freelance Job: Tesseract Training

Österreich

Veröffentlicht am www.peopleperhour.com 19 Mär 2025

Description: I have some text, which is single word on tiff file, designed to train eng_custom.traineddata. Currently I use syntax below which seem sane and does not produce any error before last step. Important: I don't want to change current approach as my goal to train each of 1000 tiff files with same parameters, since I prepared corresponding tessRead and boxes for each tiff. #Make lstmf file tesseract test_sample.tiff test_sample \ --tessdata-dir /home/j/img2/tess_files \ --psm 7 --oem 1 -l eng_custom \ /home/j/tesseract/tessdata/configs/lstm.train echo "test_sample.lstmf" single_lstmf_file.txt #Train LSTM model lstmtraining \ --model_output tess_training.lstm \ --continue_from /home/j/img2/tess_files/eng.lstm \ --traineddata /home/j/img2/tess_files/eng_custom.traineddata \ --train_listfile single_lstmf_file.txt \ --max_iterations 1 Stop training and finalize model lstmtraining --stop_training \ --continue_from tess_training.lstm_checkpoint \ --traineddata /home/j/img2/tess_files/eng_custom.traineddata \ --model_output /home/j/img2/tess_files/eng_final.lstm Update traineddata with new LSTM model mkdir -p /home/j/img2/base_model combine_tessdata -u /home/j/img2/tess_files/eng_custom.traineddata /home/j/img2/base_model/eng_custom cp /home/j/img2/tess_files/eng_final.lstm /home/j/img2/base_model/eng.lstm combine_tessdata /home/j/img2/base_model/eng_custom cp /home/j/img2/base_model/eng_custom.traineddata /home/j/img2/tess_files/eng_custom.traineddata But I get problem during final step: j@j:~/t$ tesseract test_sample.tiff stdout -l eng_custom --tessdata-dir /home/j/img2/tess_files/ index = 0:Error:Assert failed:in file /home/j/tesseract4/src/ccutil/strngs.cpp, line 266 Aborted (core dumped) Question: How to amend above commands so I can combine eng_final.lstm with eng_custom.traineddata Environment: /home/j/img2/tess_files/ eng.traineddata eng_custom.traineddata eng.lstm eng_final.lstm /home/j/img2/base_model/ eng_custom.bigram-dawg eng_custom.normproto eng_custom.word-dawg eng_custom.freq-dawg eng_custom.number-dawg eng.lstm eng_custom.inttemp eng_custom.pffmtable eng.lstm-number-dawg eng_custom.lstm eng_custom.punc-dawg eng.lstm-punc-dawg eng_custom.lstm-number-dawg eng_custom.shapetable eng.lstm-recoder eng_custom.lstm-punc-dawg eng_custom.traineddata eng.lstm-unicharset eng_custom.lstm-recoder eng_custom.unicharambigs eng.lstm-word-dawg eng_custom.lstm-unicharset eng_custom.unicharset eng.version eng_custom.lstm-word-dawg eng_custom.version Any guidance would be greatly appreciated. Thanks! Jacob
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