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-present).
01/11/2023 LSTMEVAL(1)
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