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