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).

                                            02/04/2023                                LSTMEVAL(1)