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309 lines
8.0 KiB
309 lines
8.0 KiB
/** |
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* |
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* Worker script for browser and node |
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* |
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* @fileoverview Worker script for browser and node |
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* @author Kevin Kwok <antimatter15@gmail.com> |
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* @author Guillermo Webster <gui@mit.edu> |
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* @author Jerome Wu <jeromewus@gmail.com> |
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*/ |
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require('regenerator-runtime/runtime'); |
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const fileType = require('file-type'); |
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const isURL = require('is-url'); |
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const dump = require('./utils/dump'); |
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const isWebWorker = require('../utils/getEnvironment')('type') === 'webworker'; |
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const setImage = require('./utils/setImage'); |
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const defaultParams = require('./constants/defaultParams'); |
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const { log, setLogging } = require('../utils/log'); |
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/* |
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* Tesseract Module returned by TesseractCore. |
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*/ |
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let TessModule; |
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/* |
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* TessearctBaseAPI instance |
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*/ |
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let api = null; |
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let latestJob; |
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let adapter = {}; |
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let params = defaultParams; |
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const load = ({ workerId, jobId, payload: { options: { corePath, logging } } }, res) => { |
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setLogging(logging); |
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if (!TessModule) { |
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const Core = adapter.getCore(corePath, res); |
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res.progress({ workerId, status: 'initializing tesseract', progress: 0 }); |
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Core({ |
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TesseractProgress(percent) { |
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latestJob.progress({ |
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workerId, |
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jobId, |
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status: 'recognizing text', |
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progress: Math.max(0, (percent - 30) / 70), |
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}); |
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}, |
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}).then((tessModule) => { |
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TessModule = tessModule; |
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res.progress({ workerId, status: 'initialized tesseract', progress: 1 }); |
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res.resolve({ loaded: true }); |
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}); |
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} else { |
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res.resolve({ loaded: true }); |
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} |
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}; |
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const loadLanguage = async ({ |
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workerId, |
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payload: { |
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langs, |
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options: { |
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langPath, |
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dataPath, |
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cachePath, |
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cacheMethod, |
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gzip = true, |
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}, |
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}, |
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}, |
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res) => { |
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const loadAndGunzipFile = async (_lang) => { |
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const lang = typeof _lang === 'string' ? _lang : _lang.code; |
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const readCache = ['refresh', 'none'].includes(cacheMethod) |
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? () => Promise.resolve() |
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: adapter.readCache; |
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let data = null; |
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try { |
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const _data = await readCache(`${cachePath || '.'}/${lang}.traineddata`); |
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if (typeof _data !== 'undefined') { |
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log(`[${workerId}]: Load ${lang}.traineddata from cache`); |
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data = _data; |
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} else { |
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throw Error('Not found in cache'); |
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} |
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} catch (e) { |
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log(`[${workerId}]: Load ${lang}.traineddata from ${langPath}`); |
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if (typeof _lang === 'string') { |
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let path = null; |
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if (isURL(langPath) || langPath.startsWith('moz-extension://') || langPath.startsWith('chrome-extension://') || langPath.startsWith('file://')) { /** When langPath is an URL */ |
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path = langPath; |
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} |
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if (path !== null) { |
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const resp = await (isWebWorker ? fetch : adapter.fetch)(`${path}/${lang}.traineddata${gzip ? '.gz' : ''}`); |
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data = await resp.arrayBuffer(); |
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} else { |
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data = await adapter.readCache(`${langPath}/${lang}.traineddata${gzip ? '.gz' : ''}`); |
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} |
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} else { |
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data = _lang.data; // eslint-disable-line |
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} |
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} |
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data = new Uint8Array(data); |
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const type = fileType(data); |
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if (typeof type !== 'undefined' && type.mime === 'application/gzip') { |
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data = adapter.gunzip(data); |
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} |
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if (TessModule) { |
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if (dataPath) { |
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try { |
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TessModule.FS.mkdir(dataPath); |
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} catch (err) { |
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res.reject(err.toString()); |
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} |
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} |
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TessModule.FS.writeFile(`${dataPath || '.'}/${lang}.traineddata`, data); |
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} |
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if (['write', 'refresh', undefined].includes(cacheMethod)) { |
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await adapter.writeCache(`${cachePath || '.'}/${lang}.traineddata`, data); |
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} |
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return Promise.resolve(data); |
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}; |
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res.progress({ workerId, status: 'loading language traineddata', progress: 0 }); |
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try { |
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await Promise.all((typeof langs === 'string' ? langs.split('+') : langs).map(loadAndGunzipFile)); |
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res.progress({ workerId, status: 'loaded language traineddata', progress: 1 }); |
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res.resolve(langs); |
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} catch (err) { |
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if (isWebWorker && err instanceof DOMException) { |
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/* |
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* For some reason google chrome throw DOMException in loadLang, |
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* while other browser is OK, for now we ignore this exception |
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* and hopefully to find the root cause one day. |
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*/ |
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} else { |
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res.reject(err.toString()); |
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} |
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} |
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}; |
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const setParameters = ({ payload: { params: _params } }, res) => { |
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Object.keys(_params) |
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.filter(k => !k.startsWith('tessjs_')) |
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.forEach((key) => { |
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api.SetVariable(key, _params[key]); |
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}); |
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params = { ...params, ..._params }; |
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if (typeof res !== 'undefined') { |
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res.resolve(params); |
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} |
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}; |
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const initialize = ({ |
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workerId, |
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payload: { langs: _langs, oem }, |
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}, res) => { |
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const langs = (typeof _langs === 'string') |
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? _langs |
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: _langs.map(l => ((typeof l === 'string') ? l : l.data)).join('+'); |
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try { |
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res.progress({ |
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workerId, status: 'initializing api', progress: 0, |
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}); |
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if (api !== null) { |
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api.End(); |
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} |
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api = new TessModule.TessBaseAPI(); |
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api.Init(null, langs, oem); |
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params = defaultParams; |
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setParameters({ payload: { params } }); |
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res.progress({ |
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workerId, status: 'initialized api', progress: 1, |
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}); |
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res.resolve(); |
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} catch (err) { |
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res.reject(err.toString()); |
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} |
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}; |
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const recognize = ({ payload: { image, options: { rectangles = [] } } }, res) => { |
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try { |
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const ptr = setImage(TessModule, api, image); |
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rectangles.forEach(({ |
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left, top, width, height, |
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}) => { |
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api.SetRectangle(left, top, width, height); |
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}); |
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api.Recognize(null); |
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res.resolve(dump(TessModule, api, params)); |
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TessModule._free(ptr); |
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} catch (err) { |
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res.reject(err.toString()); |
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} |
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}; |
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const getPDF = ({ payload: { title, textonly } }, res) => { |
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const pdfRenderer = new TessModule.TessPDFRenderer('tesseract-ocr', '/', textonly); |
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pdfRenderer.BeginDocument(title); |
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pdfRenderer.AddImage(api); |
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pdfRenderer.EndDocument(); |
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TessModule._free(pdfRenderer); |
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res.resolve(TessModule.FS.readFile('/tesseract-ocr.pdf')); |
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}; |
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const detect = ({ payload: { image } }, res) => { |
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try { |
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const ptr = setImage(TessModule, api, image); |
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const results = new TessModule.OSResults(); |
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if (!api.DetectOS(results)) { |
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api.End(); |
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TessModule._free(ptr); |
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res.reject('Failed to detect OS'); |
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} else { |
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const best = results.best_result; |
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const oid = best.orientation_id; |
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const sid = best.script_id; |
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TessModule._free(ptr); |
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res.resolve({ |
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tesseract_script_id: sid, |
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script: results.unicharset.get_script_from_script_id(sid), |
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script_confidence: best.sconfidence, |
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orientation_degrees: [0, 270, 180, 90][oid], |
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orientation_confidence: best.oconfidence, |
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}); |
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} |
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} catch (err) { |
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res.reject(err.toString()); |
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} |
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}; |
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const terminate = (_, res) => { |
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try { |
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if (api !== null) { |
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api.End(); |
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} |
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res.resolve({ terminated: true }); |
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} catch (err) { |
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res.reject(err.toString()); |
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} |
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}; |
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/** |
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* dispatchHandlers |
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* |
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* @name dispatchHandlers |
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* @function worker data handler |
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* @access public |
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* @param {object} data |
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* @param {string} data.jobId - unique job id |
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* @param {string} data.action - action of the job, only recognize and detect for now |
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* @param {object} data.payload - data for the job |
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* @param {function} send - trigger job to work |
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*/ |
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exports.dispatchHandlers = (packet, send) => { |
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const res = (status, data) => { |
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send({ |
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...packet, |
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status, |
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data, |
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}); |
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}; |
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res.resolve = res.bind(this, 'resolve'); |
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res.reject = res.bind(this, 'reject'); |
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res.progress = res.bind(this, 'progress'); |
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latestJob = res; |
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try { |
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({ |
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load, |
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loadLanguage, |
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initialize, |
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setParameters, |
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recognize, |
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getPDF, |
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detect, |
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terminate, |
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})[packet.action](packet, res); |
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} catch (err) { |
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/** Prepare exception to travel through postMessage */ |
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res.reject(err.toString()); |
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} |
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}; |
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/** |
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* setAdapter |
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* |
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* @name setAdapter |
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* @function |
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* @access public |
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* @param {object} adapter - implementation of the worker, different in browser and node environment |
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*/ |
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exports.setAdapter = (_adapter) => { |
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adapter = _adapter; |
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};
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