LSTMEVAL(1) =========== :doctype: manpage 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: + Information on training tesseract LSTM: 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).