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]
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.
--model FILE
--traineddata FILE
--eval_listfile FILE
--max_image_MB INT
--verbosity INT
lstmeval(1) was first made available for tesseract4.00.00alpha.
Main web site: m[blue]https://github.com/tesseract-ocrm[] Information on training tesseract LSTM: m[blue]https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.htmlm[]
tesseract(1)
Copyright (C) 2012 Google, Inc. Licensed under the Apache License, Version 2.0
The Tesseract OCR engine was written by Ray Smith and his research groups at Hewlett Packard (1985-1995) and Google (2006-present).