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.\"     Title: lstmeval
.\"    Author: [see the "AUTHOR" section]
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.\"      Date: 01/21/2019
.\"    Manual: \ \&
.\"    Source: \ \&
.\"  Language: English
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.TH "LSTMEVAL" "1" "01/21/2019" "\ \&" "\ \&"
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.SH "NAME"
lstmeval \- Evaluation program for LSTM\-based networks\&.
.SH "SYNOPSIS"
.sp
\fBlstmeval\fR \-\-model \fIlang\&.lstm|langtrain_checkpoint|pluscharsN\&.NNN_NN\&.checkpoint\fR [\-\-traineddata lang/lang\&.traineddata] \-\-eval_listfile \fIlang\&.eval_files\&.txt\fR [\-\-verbosity N] [\-\-max_image_MB NNNN]
.SH "DESCRIPTION"
.sp
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, \fI\-\-traineddata\fR should also be specified\&.
.SH "OPTIONS"
.PP
\fI\-\-model FILE\fR
.RS 4
Name of model file (training or recognition) (type:string default:)
.RE
.PP
\fI\-\-traineddata FILE\fR
.RS 4
If model is a training checkpoint, then traineddata must be the traineddata file that was given to the trainer (type:string default:)
.RE
.PP
\fI\-\-eval_listfile FILE\fR
.RS 4
File listing sample files in lstmf training format\&. (type:string default:)
.RE
.PP
\fI\-\-max_image_MB INT\fR
.RS 4
Max memory to use for images\&. (type:int default:2000)
.RE
.PP
\fI\-\-verbosity INT\fR
.RS 4
Amount of diagnosting information to output (0\-2)\&. (type:int default:1)
.RE
.SH "HISTORY"
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lstmeval(1) was first made available for tesseract4\&.00\&.00alpha\&.
.SH "RESOURCES"
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Main web site: \m[blue]\fBhttps://github\&.com/tesseract\-ocr\fR\m[] Information on training tesseract LSTM: \m[blue]\fBhttps://github\&.com/tesseract\-ocr/tesseract/wiki/TrainingTesseract\-4\&.00\fR\m[]
.SH "SEE ALSO"
.sp
tesseract(1)
.SH "COPYING"
.sp
Copyright (C) 2012 Google, Inc\&. Licensed under the Apache License, Version 2\&.0
.SH "AUTHOR"
.sp
The Tesseract OCR engine was written by Ray Smith and his research groups at Hewlett Packard (1985\-1995) and Google (2006\-present)\&.