LSTMEVAL(1) LSTMEVAL(1) NAME lstmeval - Evaluation program for LSTM-based networks. SYNOPSIS lstmeval --model lang.lstm|modelname_checkpoint|modelname_N.NN_NN_NN.check- point [--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 de- fault:) --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/TrainingTesser- act-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). 08/27/2026 LSTMEVAL(1)
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