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<!doctype html> | ||
<title>tesseract</title> | ||
<script src="https://unpkg.com/[email protected]/dist/tesseract.min.js"></script> | ||
<body> | ||
<script src="main.js"></script> | ||
</body> |
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"use strict" | ||
async function loadImage(url) { | ||
return new Promise((resolve, reject) => { | ||
const image = new Image | ||
image.src = url | ||
image.onload = () => resolve(image) | ||
image.onerror = () => reject(new Error('loadImage failed to load.')) | ||
}) | ||
} | ||
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async function crop(img, x, y, w, h, deg, scale = 2) { | ||
console.log(w, h) | ||
const c = new OffscreenCanvas(w * scale, h * scale) | ||
const ctx = c.getContext('2d') | ||
//ctx.imageSmoothingEnabled = 0 | ||
ctx.rotate(deg * Math.PI / 180) | ||
ctx.scale(scale, scale) | ||
ctx.translate(-x, -y) | ||
ctx.drawImage(img, 0, 0) | ||
ctx.resetTransform() | ||
return loadImage(URL.createObjectURL(await c.convertToBlob())) | ||
} | ||
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async function recolor(image) { | ||
const c = new OffscreenCanvas(image.naturalWidth, image.naturalHeight) | ||
const ctx = c.getContext('2d') | ||
ctx.drawImage(image, 0, 0) | ||
const data = ctx.getImageData(0, 0, ctx.canvas.width, ctx.canvas.height) | ||
let count = 0 | ||
console.log(data.data.length) | ||
for (let idx=0; idx < data.data.length; idx += 4) { | ||
const [r,g,b,a] = data.data.slice(idx, idx+4) | ||
const isRed = r > 230 && g < 185 && b < 185 | ||
const isBlack = (r > 80 && r < 125 && g < 120 && b < 120) || (r < 80 && g < 60 && b < 60) | ||
count += isRed | ||
data.data.set(isRed || isBlack ? [0, 0, 0] : [255, 255, 255], idx) | ||
} | ||
console.log(count) | ||
ctx.putImageData(data, 0, 0) | ||
return loadImage(URL.createObjectURL(await c.convertToBlob())) | ||
} | ||
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async function ocr(image) { | ||
const w = await Tesseract.createWorker('eng', 1, { | ||
logger: () => {}, | ||
}) | ||
await w.setParameters({ | ||
tessedit_char_whitelist: '0123456789AQJK', | ||
}); | ||
const { data: { text } } = await w.recognize(image, {}, 'text') | ||
return text | ||
} | ||
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const args = document.body.appendChild(document.createElement('input')) | ||
args.value = "140 360 90 18 -44" | ||
args.value = "870 633 350 25 0" | ||
const results = document.body.appendChild(document.createElement('div')) | ||
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async function process(blob) { | ||
results.innerHTML = '' | ||
const url = URL.createObjectURL(blob) | ||
const img0 = await loadImage(url) | ||
img0.style.maxWidth = "500px" | ||
img0.onclick = async e => { | ||
args.value = [ | ||
e.offsetX * img0.naturalWidth / img0.width, | ||
e.offsetY * img0.naturalWidth / img0.width, | ||
...args.value.split(' ').slice(2) | ||
].join(' ') | ||
process2(img0) | ||
} | ||
results.append(img0) | ||
await process2(img0) | ||
} | ||
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async function process2(img0) { | ||
const img1 = await crop(img0, ...args.value.split(' ')) | ||
results.append(img1) | ||
const debug = results.appendChild(document.createElement('pre')) | ||
img1.onmousemove = e => { | ||
const [x, y] = [e.offsetX * img1.naturalWidth / img1.width, e.offsetY * img1.naturalWidth / img1.width] | ||
const c = new OffscreenCanvas(1, 1) | ||
const ctx = c.getContext('2d') | ||
ctx.drawImage(img1, x, y, 1, 1, 0, 0, 1, 1) | ||
const {data: [r, g, b, a]} = ctx.getImageData(0, 0, 1, 1) | ||
debug.textContent = [x, y, ":", r, g, b, ':', (255 - r) + g + b, r + g + b].join(' ') | ||
} | ||
const img = await recolor(img1) | ||
//img.style.maxWidth = "500px" | ||
results.append(img) | ||
const pre = results.appendChild(document.createElement('pre')) | ||
pre.textContent = "loading..." | ||
pre.textContent = await ocr(img) | ||
} | ||
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document.onpaste = async e => { | ||
if (!e.clipboardData.files[0]) return | ||
process(e.clipboardData.files[0]) | ||
} | ||
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navigator.permissions.query({name: 'clipboard-read'}).then(x => console.log(x.state)) | ||
onload = () => focus() | ||
onfocus = async () => process(await (await navigator.clipboard.read())[0].getType('image/png')) | ||
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