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extension/firefox/content/deps/tesseract-core@4.0.2.wasm.js
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,4 +1,42 @@ | ||
| export function deleteStep(index = -1) { | ||
| const step = document.querySelector(`[wtc-step-index="${index}"]`); | ||
| step.remove(); | ||
| } | ||
| } | ||
|
|
||
| export function attachScrubs(screenshots = []) { | ||
| for (const screenshot of screenshots) { | ||
| const observer = new MutationObserver((mutations, observer) => { | ||
| observer.disconnect(); | ||
| const words = JSON.parse(mutations[0].target.getAttribute('wtc-ocr')); | ||
| const overlay = screenshot.parentNode.querySelector('.scrub-overlay'); | ||
| const parser = new DOMParser(); | ||
| const sizeRatio = screenshot.clientHeight / screenshot.naturalHeight; | ||
| const clientSize = { width: screenshot.clientWidth, height: screenshot.clientHeight }; | ||
| for (const { word, box } of words) { | ||
| const width = ((box.x1 - box.x0) * sizeRatio / clientSize.width) * 100; | ||
| const height = ((box.y1 - box.y0) * sizeRatio / clientSize.height) * 100; | ||
| const top = ((box.y0 * sizeRatio) / clientSize.height) * 100; | ||
| const left = ((box.x0 * sizeRatio) / clientSize.width) * 100; | ||
| const scrubElementHtml = ` | ||
| <div | ||
| class="scrub-element" | ||
| wtc-word="${encodeURIComponent(JSON.stringify({ word, box }))}" | ||
| style="width: ${width}%; height: ${height}%; top: ${top}%; left: ${left}%" | ||
| ></div> | ||
| `; | ||
| const scrubElement = parser.parseFromString(scrubElementHtml, 'text/html').querySelector('.scrub-element'); | ||
| scrubElement.addEventListener('click', () => { | ||
| scrubElement.classList.toggle('scrubbed'); | ||
| scrubElement.c | ||
| }); | ||
| overlay.appendChild(scrubElement); | ||
| } | ||
| }); | ||
| observer.observe(screenshot, { | ||
| childList: false, | ||
| subtree: false, | ||
| attributes: true, | ||
| attributeFilter: ['wtc-ocr'] | ||
| }); | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,50 @@ | ||
| import * as ocr from '../../deps/tesseract@4.0.2.min.js'; | ||
|
|
||
| let worker; | ||
|
|
||
| async function initWorker() { | ||
| const w = await Tesseract.createWorker({ | ||
| workerPath: './deps/worker@4.0.2.min.js', | ||
| workerBlobURL: false, | ||
| langPath: './deps', | ||
| corePath: './deps/tesseract-core@4.0.2.wasm.js', | ||
| tessedit_create_hocr: '0', | ||
| tessedit_create_tsv: '0', | ||
| tessedit_create_box: '0', | ||
| tessedit_create_unlv: '0', | ||
| tessedit_create_osd: '0', | ||
| }); | ||
| await w.loadLanguage('eng-fast'); | ||
| await w.initialize('eng-fast'); | ||
| worker = w; | ||
| return w; | ||
| } | ||
|
|
||
| async function recognizeWords(element) { | ||
| const result = await worker.recognize(element); | ||
| return result.data.paragraphs.map(({ lines }) => { | ||
| return lines.map((line) => line.words.map((word) => { | ||
| return { | ||
| word: word.choices[0], | ||
| box: word.bbox, | ||
| }; | ||
| })).flat(); | ||
| }).flat(); | ||
| } | ||
|
|
||
|
|
||
| export async function attachOcrInfo(screenshots) { | ||
| document.querySelector('.ocr-loading-indicator').classList.toggle('hidden'); | ||
| if (worker == null) { | ||
| await initWorker(); | ||
| } | ||
| for (const screenshot of screenshots) { | ||
| const overlay = screenshot.parentNode.querySelector('.loading-overlay'); | ||
| overlay.classList.toggle('loading'); | ||
| const words = await recognizeWords(screenshot); | ||
| const serialized = JSON.stringify(words); | ||
| screenshot.setAttribute('wtc-ocr', serialized); | ||
| overlay.classList.toggle('loading'); | ||
| } | ||
| document.querySelector('.ocr-loading-indicator').classList.toggle('hidden'); | ||
| } |
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