lstmeval - Evaluation program for LSTM-based networks.

       The Tesseract OCR engine was written by Ray Smith and his research groups at Hewlett Packard (1985-1995)
       and Google (2006-2018).

                                                   01/19/2025                                        LSTMEVAL(1)

       Copyright (C) 2012 Google, Inc. Licensed under the Apache License, Version 2.0

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.

lstmeval(1) was first made available for tesseract4.00.00alpha.

       lstmeval - Evaluation program for LSTM-based networks.

--modelFILE
           Name of model file (training or recognition) (type:string default:)

       --traineddataFILE
           If model is a training checkpoint, then traineddata must be the traineddata file that was given to
           the trainer (type:string default:)

       --eval_listfileFILE
           File listing sample files in lstmf training format. (type:string default:)

       --max_image_MBINT
           Max memory to use for images. (type:int default:2000)

       --verbosityINT
           Amount of diagnosting information to output (0-2). (type:int default:1)

       Main web site: https://github.com/tesseract-ocr Information on training tesseract LSTM:
       https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html

tesseract(1)

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]