mirror of
https://github.com/tesseract-ocr/tesseract.git
synced 2024-12-21 05:21:35 +08:00
56 lines
1.7 KiB
Plaintext
56 lines
1.7 KiB
Plaintext
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: <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).
|