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LSTMEVAL(1)
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:doctype: manpage
NAME
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lstmeval - Evaluation program for LSTM-based networks.
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SYNOPSIS
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*lstmeval* --model 'lang.lstm|modelname_checkpoint|modelname_N.NN_NN_NN.checkpoint' [--traineddata lang/lang.traineddata] --eval_listfile 'lang.eval_files.txt' [--verbosity N] [--max_image_MB NNNN]
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DESCRIPTION
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lstmeval(1) evaluates LSTM-based networks. Either a recognition model or a training checkpoint can be given as input for evaluation along with a list of lstmf files. If evaluating a training checkpoint, '--traineddata' should also be specified. Intermediate training checkpoints can also be used.
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OPTIONS
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'--model FILE'::
Name of model file (training or recognition) (type:string default:)
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'--traineddata FILE'::
If model is a training checkpoint, then traineddata must be the traineddata file that was given to the trainer (type:string default:)
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'--eval_listfile FILE'::
File listing sample files in lstmf training format. (type:string default:)
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'--max_image_MB INT'::
Max memory to use for images. (type:int default:2000)
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'--verbosity INT'::
Amount of diagnosting information to output (0-2). (type:int default:1)
HISTORY
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lstmeval(1) was first made available for tesseract4.00.00alpha.
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RESOURCES
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Main web site: <https://github.com/tesseract-ocr> +
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Information on training tesseract LSTM: <https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html>
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SEE ALSO
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tesseract(1)
COPYING
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Copyright \(C) 2012 Google, Inc.
Licensed under the Apache License, Version 2.0
AUTHOR
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The Tesseract OCR engine was written by Ray Smith and his research groups
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at Hewlett Packard (1985-1995) and Google (2006-2018).