lstmeval - Man Page

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: https://github.com/tesseract-ocr Information on training tesseract LSTM: https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-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-present).

Info

01/08/2022