lstmeval - Man Page

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

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)

lstmeval(1) was first made available for tesseract4​.00​.00alpha​.

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)

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 (2006-2018)​.