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LSTMEVAL(1)							   LSTMEVAL(1)

NAME
       lstmeval	- Evaluation program for LSTM-based networks.

SYNOPSIS
       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]

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. Intermediate training
       checkpoints can also be used.

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://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html

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	(2006-2018).

				  04/12/2025			   LSTMEVAL(1)

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