1000 lines
21 KiB
HTML
1000 lines
21 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
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<meta name="generator" content="AsciiDoc 10.2.0">
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<title>LSTMTRAINING(1)</title>
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<style type="text/css">
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/* Shared CSS for AsciiDoc xhtml11 and html5 backends */
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/* Default font. */
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body {
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font-family: Georgia,serif;
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}
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/* Title font. */
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h1, h2, h3, h4, h5, h6,
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div.title, caption.title,
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thead, p.table.header,
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#toctitle,
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#author, #revnumber, #revdate, #revremark,
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#footer {
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font-family: Arial,Helvetica,sans-serif;
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}
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body {
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margin: 1em 5% 1em 5%;
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}
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a {
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color: blue;
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text-decoration: underline;
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}
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a:visited {
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color: fuchsia;
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}
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em {
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font-style: italic;
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color: navy;
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}
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strong {
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font-weight: bold;
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color: #083194;
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}
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h1, h2, h3, h4, h5, h6 {
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color: #527bbd;
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margin-top: 1.2em;
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margin-bottom: 0.5em;
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line-height: 1.3;
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}
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h1, h2, h3 {
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border-bottom: 2px solid silver;
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}
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h2 {
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padding-top: 0.5em;
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}
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h3 {
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float: left;
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}
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h3 + * {
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clear: left;
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}
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h5 {
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font-size: 1.0em;
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}
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div.sectionbody {
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margin-left: 0;
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}
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hr {
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border: 1px solid silver;
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}
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p {
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margin-top: 0.5em;
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margin-bottom: 0.5em;
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}
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ul, ol, li > p {
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margin-top: 0;
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}
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ul > li { color: #aaa; }
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ul > li > * { color: black; }
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.monospaced, code, pre {
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font-family: "Courier New", Courier, monospace;
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font-size: inherit;
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color: navy;
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padding: 0;
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margin: 0;
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}
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pre {
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white-space: pre-wrap;
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}
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#author {
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color: #527bbd;
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font-weight: bold;
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font-size: 1.1em;
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}
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#email {
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}
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#revnumber, #revdate, #revremark {
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}
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#footer {
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font-size: small;
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border-top: 2px solid silver;
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padding-top: 0.5em;
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margin-top: 4.0em;
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}
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#footer-text {
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float: left;
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padding-bottom: 0.5em;
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}
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#footer-badges {
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float: right;
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padding-bottom: 0.5em;
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}
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#preamble {
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margin-top: 1.5em;
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margin-bottom: 1.5em;
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}
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div.imageblock, div.exampleblock, div.verseblock,
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div.quoteblock, div.literalblock, div.listingblock, div.sidebarblock,
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div.admonitionblock {
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margin-top: 1.0em;
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margin-bottom: 1.5em;
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}
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div.admonitionblock {
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margin-top: 2.0em;
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margin-bottom: 2.0em;
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margin-right: 10%;
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color: #606060;
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}
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div.content { /* Block element content. */
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padding: 0;
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}
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/* Block element titles. */
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div.title, caption.title {
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color: #527bbd;
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font-weight: bold;
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text-align: left;
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margin-top: 1.0em;
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margin-bottom: 0.5em;
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}
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div.title + * {
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margin-top: 0;
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}
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td div.title:first-child {
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margin-top: 0.0em;
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}
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div.content div.title:first-child {
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margin-top: 0.0em;
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}
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div.content + div.title {
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margin-top: 0.0em;
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}
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div.sidebarblock > div.content {
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background: #ffffee;
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border: 1px solid #dddddd;
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border-left: 4px solid #f0f0f0;
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padding: 0.5em;
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}
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div.listingblock > div.content {
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border: 1px solid #dddddd;
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border-left: 5px solid #f0f0f0;
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background: #f8f8f8;
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padding: 0.5em;
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}
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div.quoteblock, div.verseblock {
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padding-left: 1.0em;
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margin-left: 1.0em;
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margin-right: 10%;
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border-left: 5px solid #f0f0f0;
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color: #888;
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}
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div.quoteblock > div.attribution {
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padding-top: 0.5em;
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text-align: right;
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}
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div.verseblock > pre.content {
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font-family: inherit;
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font-size: inherit;
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}
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div.verseblock > div.attribution {
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padding-top: 0.75em;
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text-align: left;
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}
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/* DEPRECATED: Pre version 8.2.7 verse style literal block. */
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div.verseblock + div.attribution {
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text-align: left;
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}
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div.admonitionblock .icon {
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vertical-align: top;
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font-size: 1.1em;
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font-weight: bold;
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text-decoration: underline;
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color: #527bbd;
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padding-right: 0.5em;
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}
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div.admonitionblock td.content {
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padding-left: 0.5em;
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border-left: 3px solid #dddddd;
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}
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div.exampleblock > div.content {
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border-left: 3px solid #dddddd;
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padding-left: 0.5em;
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}
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div.imageblock div.content { padding-left: 0; }
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span.image img { border-style: none; vertical-align: text-bottom; }
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a.image:visited { color: white; }
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dl {
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margin-top: 0.8em;
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margin-bottom: 0.8em;
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}
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dt {
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margin-top: 0.5em;
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margin-bottom: 0;
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font-style: normal;
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color: navy;
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}
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dd > *:first-child {
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margin-top: 0.1em;
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}
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ul, ol {
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list-style-position: outside;
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}
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ol.arabic {
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list-style-type: decimal;
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}
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ol.loweralpha {
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list-style-type: lower-alpha;
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}
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ol.upperalpha {
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list-style-type: upper-alpha;
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}
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ol.lowerroman {
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list-style-type: lower-roman;
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}
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ol.upperroman {
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list-style-type: upper-roman;
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}
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div.compact ul, div.compact ol,
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div.compact p, div.compact p,
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div.compact div, div.compact div {
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margin-top: 0.1em;
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margin-bottom: 0.1em;
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}
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tfoot {
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font-weight: bold;
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}
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td > div.verse {
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white-space: pre;
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}
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div.hdlist {
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margin-top: 0.8em;
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margin-bottom: 0.8em;
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}
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div.hdlist tr {
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padding-bottom: 15px;
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}
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dt.hdlist1.strong, td.hdlist1.strong {
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font-weight: bold;
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}
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td.hdlist1 {
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vertical-align: top;
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font-style: normal;
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padding-right: 0.8em;
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color: navy;
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}
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td.hdlist2 {
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vertical-align: top;
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}
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div.hdlist.compact tr {
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margin: 0;
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padding-bottom: 0;
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}
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.comment {
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background: yellow;
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}
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.footnote, .footnoteref {
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font-size: 0.8em;
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}
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span.footnote, span.footnoteref {
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vertical-align: super;
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}
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#footnotes {
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margin: 20px 0 20px 0;
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padding: 7px 0 0 0;
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}
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#footnotes div.footnote {
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margin: 0 0 5px 0;
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}
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#footnotes hr {
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border: none;
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border-top: 1px solid silver;
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height: 1px;
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text-align: left;
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margin-left: 0;
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width: 20%;
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min-width: 100px;
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}
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div.colist td {
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padding-right: 0.5em;
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padding-bottom: 0.3em;
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vertical-align: top;
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}
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div.colist td img {
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margin-top: 0.3em;
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}
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@media print {
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#footer-badges { display: none; }
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}
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#toc {
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margin-bottom: 2.5em;
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}
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#toctitle {
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color: #527bbd;
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font-size: 1.1em;
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font-weight: bold;
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margin-top: 1.0em;
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margin-bottom: 0.1em;
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}
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div.toclevel0, div.toclevel1, div.toclevel2, div.toclevel3, div.toclevel4 {
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margin-top: 0;
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margin-bottom: 0;
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}
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div.toclevel2 {
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margin-left: 2em;
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font-size: 0.9em;
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}
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div.toclevel3 {
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margin-left: 4em;
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font-size: 0.9em;
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}
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div.toclevel4 {
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margin-left: 6em;
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font-size: 0.9em;
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}
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span.aqua { color: aqua; }
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span.black { color: black; }
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span.blue { color: blue; }
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span.fuchsia { color: fuchsia; }
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span.gray { color: gray; }
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span.green { color: green; }
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span.lime { color: lime; }
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span.maroon { color: maroon; }
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span.navy { color: navy; }
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span.olive { color: olive; }
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span.purple { color: purple; }
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span.red { color: red; }
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span.silver { color: silver; }
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span.teal { color: teal; }
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span.white { color: white; }
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span.yellow { color: yellow; }
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span.aqua-background { background: aqua; }
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span.black-background { background: black; }
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span.blue-background { background: blue; }
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span.fuchsia-background { background: fuchsia; }
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span.gray-background { background: gray; }
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span.green-background { background: green; }
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span.lime-background { background: lime; }
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span.maroon-background { background: maroon; }
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span.navy-background { background: navy; }
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span.olive-background { background: olive; }
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span.purple-background { background: purple; }
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span.red-background { background: red; }
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span.silver-background { background: silver; }
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span.teal-background { background: teal; }
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span.white-background { background: white; }
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span.yellow-background { background: yellow; }
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span.big { font-size: 2em; }
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span.small { font-size: 0.6em; }
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span.underline { text-decoration: underline; }
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span.overline { text-decoration: overline; }
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span.line-through { text-decoration: line-through; }
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div.unbreakable { page-break-inside: avoid; }
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/*
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* xhtml11 specific
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*
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* */
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div.tableblock {
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margin-top: 1.0em;
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margin-bottom: 1.5em;
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}
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div.tableblock > table {
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border: 3px solid #527bbd;
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}
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thead, p.table.header {
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font-weight: bold;
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color: #527bbd;
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}
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p.table {
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margin-top: 0;
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}
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/* Because the table frame attribute is overridden by CSS in most browsers. */
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div.tableblock > table[frame="void"] {
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border-style: none;
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}
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div.tableblock > table[frame="hsides"] {
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border-left-style: none;
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border-right-style: none;
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}
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div.tableblock > table[frame="vsides"] {
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border-top-style: none;
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border-bottom-style: none;
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}
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/*
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* html5 specific
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*
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* */
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table.tableblock {
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margin-top: 1.0em;
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margin-bottom: 1.5em;
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}
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thead, p.tableblock.header {
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font-weight: bold;
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color: #527bbd;
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}
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p.tableblock {
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margin-top: 0;
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}
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table.tableblock {
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border-width: 3px;
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border-spacing: 0px;
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border-style: solid;
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border-color: #527bbd;
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border-collapse: collapse;
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}
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th.tableblock, td.tableblock {
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border-width: 1px;
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padding: 4px;
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border-style: solid;
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border-color: #527bbd;
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}
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table.tableblock.frame-topbot {
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border-left-style: hidden;
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border-right-style: hidden;
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}
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table.tableblock.frame-sides {
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border-top-style: hidden;
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border-bottom-style: hidden;
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}
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table.tableblock.frame-none {
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border-style: hidden;
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}
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th.tableblock.halign-left, td.tableblock.halign-left {
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text-align: left;
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}
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th.tableblock.halign-center, td.tableblock.halign-center {
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text-align: center;
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}
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th.tableblock.halign-right, td.tableblock.halign-right {
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text-align: right;
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}
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th.tableblock.valign-top, td.tableblock.valign-top {
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vertical-align: top;
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}
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th.tableblock.valign-middle, td.tableblock.valign-middle {
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vertical-align: middle;
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}
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th.tableblock.valign-bottom, td.tableblock.valign-bottom {
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vertical-align: bottom;
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}
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/*
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* manpage specific
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*
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* */
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body.manpage h1 {
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padding-top: 0.5em;
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padding-bottom: 0.5em;
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border-top: 2px solid silver;
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border-bottom: 2px solid silver;
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}
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body.manpage h2 {
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border-style: none;
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}
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body.manpage div.sectionbody {
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margin-left: 3em;
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}
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@media print {
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body.manpage div#toc { display: none; }
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}
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</style>
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<script type="text/javascript">
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/*<+'])');
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// Function that scans the DOM tree for header elements (the DOM2
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// nodeIterator API would be a better technique but not supported by all
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// browsers).
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var iterate = function (el) {
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for (var i = el.firstChild; i != null; i = i.nextSibling) {
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if (i.nodeType == 1 /* Node.ELEMENT_NODE */) {
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var mo = re.exec(i.tagName);
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if (mo && (i.getAttribute("class") || i.getAttribute("className")) != "float") {
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result[result.length] = new TocEntry(i, getText(i), mo[1]-1);
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}
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iterate(i);
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}
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}
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}
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iterate(el);
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return result;
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}
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var toc = document.getElementById("toc");
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if (!toc) {
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return;
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}
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// Delete existing TOC entries in case we're reloading the TOC.
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var tocEntriesToRemove = [];
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var i;
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for (i = 0; i < toc.childNodes.length; i++) {
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var entry = toc.childNodes[i];
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if (entry.nodeName.toLowerCase() == 'div'
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&& entry.getAttribute("class")
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&& entry.getAttribute("class").match(/^toclevel/))
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tocEntriesToRemove.push(entry);
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}
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for (i = 0; i < tocEntriesToRemove.length; i++) {
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toc.removeChild(tocEntriesToRemove[i]);
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}
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// Rebuild TOC entries.
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var entries = tocEntries(document.getElementById("content"), toclevels);
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for (var i = 0; i < entries.length; ++i) {
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var entry = entries[i];
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if (entry.element.id == "")
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entry.element.id = "_toc_" + i;
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var a = document.createElement("a");
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a.href = "#" + entry.element.id;
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a.appendChild(document.createTextNode(entry.text));
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var div = document.createElement("div");
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div.appendChild(a);
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div.className = "toclevel" + entry.toclevel;
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</head>
|
|
<body class="manpage">
|
|
<div id="header">
|
|
<h1>
|
|
LSTMTRAINING(1) Manual Page
|
|
</h1>
|
|
<h2>NAME</h2>
|
|
<div class="sectionbody">
|
|
<p>lstmtraining -
|
|
Training program for LSTM-based networks.
|
|
</p>
|
|
</div>
|
|
</div>
|
|
<div id="content">
|
|
<div class="sect1">
|
|
<h2 id="_synopsis">SYNOPSIS</h2>
|
|
<div class="sectionbody">
|
|
<div class="paragraph"><p><strong>lstmtraining</strong>
|
|
--continue_from <em>train_output_dir/continue_from_lang.lstm</em>
|
|
--old_traineddata <em>bestdata_dir/continue_from_lang.traineddata</em>
|
|
--traineddata <em>train_output_dir/lang/lang.traineddata</em>
|
|
--max_iterations <em>NNN</em>
|
|
--debug_interval <em>0|-1</em>
|
|
--train_listfile <em>train_output_dir/lang.training_files.txt</em>
|
|
--model_output <em>train_output_dir/newlstmmodel</em></p></div>
|
|
</div>
|
|
</div>
|
|
<div class="sect1">
|
|
<h2 id="_description">DESCRIPTION</h2>
|
|
<div class="sectionbody">
|
|
<div class="paragraph"><p>lstmtraining(1) trains LSTM-based networks using a list of lstmf files and starter traineddata file as the main input. Training from scratch is not recommended to be done by users. Finetuning (example command shown in synopsis above) or replacing a layer options can be used instead. Different options apply to different types of training.
|
|
Read the [training documentation](<a href="https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html">https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html</a>) for details.</p></div>
|
|
</div>
|
|
</div>
|
|
<div class="sect1">
|
|
<h2 id="_options">OPTIONS</h2>
|
|
<div class="sectionbody">
|
|
<div class="dlist"><dl>
|
|
<dt class="hdlist1">
|
|
'--debug_interval '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
How often to display the alignment. (type:int default:0)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--net_mode '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Controls network behavior. (type:int default:192)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--perfect_sample_delay '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
How many imperfect samples between perfect ones. (type:int default:0)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--max_image_MB '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Max memory to use for images. (type:int default:6000)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--append_index '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Index in continue_from Network at which to attach the new network defined by net_spec (type:int default:-1)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--max_iterations '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
If set, exit after this many iterations. A negative value is interpreted as epochs, 0 means infinite iterations. (type:int default:0)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--target_error_rate '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Final error rate in percent. (type:double default:0.01)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--weight_range '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Range of initial random weights. (type:double default:0.1)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--learning_rate '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Weight factor for new deltas. (type:double default:0.001)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--momentum '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Decay factor for repeating deltas. (type:double default:0.5)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--adam_beta '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Decay factor for repeating deltas. (type:double default:0.999)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--stop_training '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Just convert the training model to a runtime model. (type:bool default:false)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--convert_to_int '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Convert the recognition model to an integer model. (type:bool default:false)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--sequential_training '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Use the training files sequentially instead of round-robin. (type:bool default:false)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--debug_network '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Get info on distribution of weight values (type:bool default:false)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--randomly_rotate '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Train OSD and randomly turn training samples upside-down (type:bool default:false)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--net_spec '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Network specification (type:string default:)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--continue_from '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Existing model to extend (type:string default:)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--model_output '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Basename for output models (type:string default:lstmtrain)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--train_listfile '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
File listing training files in lstmf training format. (type:string default:)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--eval_listfile '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
File listing eval files in lstmf training format. (type:string default:)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--traineddata '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
Starter traineddata with combined Dawgs/Unicharset/Recoder for language model (type:string default:)
|
|
</p>
|
|
</dd>
|
|
<dt class="hdlist1">
|
|
'--old_traineddata '
|
|
</dt>
|
|
<dd>
|
|
<p>
|
|
When changing the character set, this specifies the traineddata with the old character set that is to be replaced (type:string default:)
|
|
</p>
|
|
</dd>
|
|
</dl></div>
|
|
</div>
|
|
</div>
|
|
<div class="sect1">
|
|
<h2 id="_history">HISTORY</h2>
|
|
<div class="sectionbody">
|
|
<div class="paragraph"><p>lstmtraining(1) was first made available for tesseract4.00.00alpha.</p></div>
|
|
</div>
|
|
</div>
|
|
<div class="sect1">
|
|
<h2 id="_resources">RESOURCES</h2>
|
|
<div class="sectionbody">
|
|
<div class="paragraph"><p>Main web site: <a href="https://github.com/tesseract-ocr">https://github.com/tesseract-ocr</a><br>
|
|
Information on training tesseract LSTM: <a href="https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html">https://tesseract-ocr.github.io/tessdoc/TrainingTesseract-4.00.html</a></p></div>
|
|
</div>
|
|
</div>
|
|
<div class="sect1">
|
|
<h2 id="_see_also">SEE ALSO</h2>
|
|
<div class="sectionbody">
|
|
<div class="paragraph"><p>tesseract(1)</p></div>
|
|
</div>
|
|
</div>
|
|
<div class="sect1">
|
|
<h2 id="_copying">COPYING</h2>
|
|
<div class="sectionbody">
|
|
<div class="paragraph"><p>Copyright (C) 2012 Google, Inc.
|
|
Licensed under the Apache License, Version 2.0</p></div>
|
|
</div>
|
|
</div>
|
|
<div class="sect1">
|
|
<h2 id="_author">AUTHOR</h2>
|
|
<div class="sectionbody">
|
|
<div class="paragraph"><p>The Tesseract OCR engine was written by Ray Smith and his research groups
|
|
at Hewlett Packard (1985-1995) and Google (2006-2018).</p></div>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div id="footnotes"><hr></div>
|
|
<div id="footer">
|
|
<div id="footer-text">
|
|
Last updated
|
|
2024-05-19 13:04:22 CEST
|
|
</div>
|
|
</div>
|
|
</body>
|
|
</html>
|