1LSTMEVAL(1) LSTMEVAL(1)
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6 lstmeval - Evaluation program for LSTM-based networks.
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9 lstmeval --model
10 lang.lstm|modelname_checkpoint|modelname_N.NN_NN_NN.checkpoint
11 [--traineddata lang/lang.traineddata] --eval_listfile
12 lang.eval_files.txt [--verbosity N] [--max_image_MB NNNN]
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15 lstmeval(1) evaluates LSTM-based networks. Either a recognition model
16 or a training checkpoint can be given as input for evaluation along
17 with a list of lstmf files. If evaluating a training checkpoint,
18 --traineddata should also be specified. Intermediate training
19 checkpoints can also be used.
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22 --model FILE
23 Name of model file (training or recognition) (type:string default:)
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25 --traineddata FILE
26 If model is a training checkpoint, then traineddata must be the
27 traineddata file that was given to the trainer (type:string
28 default:)
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30 --eval_listfile FILE
31 File listing sample files in lstmf training format. (type:string
32 default:)
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34 --max_image_MB INT
35 Max memory to use for images. (type:int default:2000)
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37 --verbosity INT
38 Amount of diagnosting information to output (0-2). (type:int
39 default:1)
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42 lstmeval(1) was first made available for tesseract4.00.00alpha.
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45 Main web site: https://github.com/tesseract-ocr Information on training
46 tesseract LSTM:
47 https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html
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50 tesseract(1)
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53 Copyright (C) 2012 Google, Inc. Licensed under the Apache License,
54 Version 2.0
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57 The Tesseract OCR engine was written by Ray Smith and his research
58 groups at Hewlett Packard (1985-1995) and Google (2006-present).
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62 02/25/2022 LSTMEVAL(1)