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recognize.test.js
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recognize.test.js
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const { createWorker, PSM } = Tesseract;
let worker;
before(async function cb() {
this.timeout(0);
worker = await createWorker("eng", 1, OPTIONS);
workerLegacy = await createWorker("eng", 0, OPTIONS);
});
describe('recognize()', () => {
describe('should read bmp, jpg, png and pbm format images', () => {
FORMATS.forEach(format => (
it(`support ${format} format`, async () => {
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(`${IMAGE_PATH}/simple.${format}`);
expect(text).to.be(SIMPLE_TEXT);
}).timeout(TIMEOUT)
));
});
describe('should recognize base64 image', () => {
[
{ format: 'png', image: SIMPLE_PNG_BASE64, ans: SIMPLE_TEXT },
{ format: 'jpg', image: SIMPLE_JPG_BASE64, ans: SIMPLE_TEXT },
].forEach(({ format, image, ans }) => (
it(`recongize ${format} in base64`, async () => {
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(image);
expect(text).to.be(ans);
}).timeout(TIMEOUT)
));
});
describe('should recognize with Legacy OEM', () => {
[
{ format: 'png', image: SIMPLE_PNG_BASE64, ans: SIMPLE_TEXT_LEGACY },
{ format: 'jpg', image: SIMPLE_JPG_BASE64, ans: SIMPLE_TEXT_LEGACY },
].forEach(({ format, image, ans }) => (
it(`recongize ${format} in base64`, async () => {
const { data: { text } } = await workerLegacy.recognize(image);
console.log(text);
expect(text).to.be(ans);
}).timeout(TIMEOUT)
));
});
describe('should support orientation metadata', () => {
[
{ name: 'simple-90.jpg', desc: 'simple', ans: SIMPLE_TEXT },
{ name: 'simple-180.jpg', desc: 'simple', ans: SIMPLE_TEXT },
{ name: 'simple-270.jpg', desc: 'simple', ans: SIMPLE_TEXT },
].forEach(({ name, desc, ans }) => (
it(`recongize ${desc} image`, async () => {
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(`${IMAGE_PATH}/${name}`);
expect(text).to.be(ans);
}).timeout(TIMEOUT)
));
});
describe('should recognize base64 image (simplified interface)', () => {
[
{ format: 'png', image: SIMPLE_PNG_BASE64, ans: SIMPLE_TEXT },
{ format: 'jpg', image: SIMPLE_JPG_BASE64, ans: SIMPLE_TEXT },
].forEach(({ format, image, ans }) => (
it(`recongize ${format} in base64`, async () => {
const { data: { text } } = await Tesseract.recognize(image, undefined, OPTIONS);
expect(text).to.be(ans);
}).timeout(TIMEOUT)
));
});
describe('should recognize different langs', () => {
[
{ name: 'chinese.png', lang: 'chi_tra', ans: CHINESE_TEXT },
].forEach(({ name, lang, ans }) => (
it(`recongize ${lang}`, async () => {
await worker.reinitialize(lang);
const { data: { text } } = await worker.recognize(`${IMAGE_PATH}/${name}`);
expect(text).to.be(ans);
}).timeout(TIMEOUT)
));
});
describe('should support different complexity', () => {
[
{ name: 'simple.png', desc: 'simple', ans: SIMPLE_TEXT },
{ name: 'cosmic.png', desc: 'normal', ans: COMSIC_TEXT },
{ name: 'testocr.png', desc: 'large', ans: TESTOCR_TEXT },
].forEach(({ name, desc, ans }) => (
it(`recongize ${desc} image`, async () => {
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(`${IMAGE_PATH}/${name}`);
expect(text).to.be(ans);
}).timeout(TIMEOUT)
));
});
describe('should recognize part of the image', () => {
[
{
name: 'simple.png', left: 0, top: 0, width: 140, height: 180, ans: SIMPLE_TEXT_HALF,
},
].forEach(({
name, left, top, width, height, ans,
}) => (
it(`recongize half ${name}`, async () => {
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(
`${IMAGE_PATH}/${name}`,
{
rectangle: {
top, left, width, height,
},
},
);
expect(text).to.be(ans);
}).timeout(TIMEOUT)
));
});
describe('should work with selected parameters', () => {
it('support preserve_interword_spaces', async () => {
await worker.reinitialize('eng');
await worker.setParameters({
preserve_interword_spaces: '1',
});
const { data: { text } } = await worker.recognize(`${IMAGE_PATH}/bill.png`);
expect(text).to.be(BILL_SPACED_TEXT);
}).timeout(TIMEOUT);
it('support tessedit_char_whitelist', async () => {
await worker.reinitialize('eng');
await worker.setParameters({
tessedit_char_whitelist: 'Tess',
});
const { data: { text } } = await worker.recognize(`${IMAGE_PATH}/simple.png`);
expect(text).to.be(SIMPLE_WHITELIST_TEXT);
}).timeout(TIMEOUT);
});
describe('should support all page seg modes (Legacy)', () => {
Object
.keys(PSM)
.map(name => ({ name, mode: PSM[name] }))
.forEach(({ name, mode }) => (
it(`support PSM.${name} mode`, async () => {
await workerLegacy.reinitialize(['eng', 'osd']);
await workerLegacy.setParameters({
tessedit_pageseg_mode: mode,
});
const { data } = await workerLegacy.recognize(`${IMAGE_PATH}/simple.png`);
expect(Object.keys(data).length).not.to.be(0);
}).timeout(TIMEOUT)
));
});
describe('should support all page seg modes except for PSM.OSD_ONLY (LSTM)', () => {
Object
.keys(PSM)
.filter((x) => x !== 'OSD_ONLY')
.map(name => ({ name, mode: PSM[name] }))
.forEach(({ name, mode }) => (
it(`support PSM.${name} mode`, async () => {
await worker.reinitialize(['eng', 'osd']);
await worker.setParameters({
tessedit_pageseg_mode: mode,
});
const { data } = await worker.recognize(`${IMAGE_PATH}/simple.png`);
expect(Object.keys(data).length).not.to.be(0);
}).timeout(TIMEOUT)
));
});
(IS_BROWSER ? describe.skip : describe)('should recognize image in Buffer format (Node.js only)', () => {
FORMATS.forEach(format => (
it(`support ${format} format`, async () => {
const buf = fs.readFileSync(path.join(__dirname, 'assets', 'images', `simple.${format}`));
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(buf);
expect(text).to.be(SIMPLE_TEXT);
}).timeout(TIMEOUT)
));
});
(IS_BROWSER ? describe : describe.skip)('should read image from img DOM element (browser only)', () => {
FORMATS.forEach(format => (
it(`support ${format} format`, async () => {
const imageDOM = document.createElement('img');
imageDOM.setAttribute('src', `${IMAGE_PATH}/simple.${format}`);
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(imageDOM);
expect(text).to.be(SIMPLE_TEXT);
}).timeout(TIMEOUT)
));
});
(IS_BROWSER ? describe : describe.skip)('should read image from video DOM element (browser only)', () => {
FORMATS.forEach(format => (
it(`support ${format} format`, async () => {
const videoDOM = document.createElement('video');
videoDOM.setAttribute('poster', `${IMAGE_PATH}/simple.${format}`);
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(videoDOM);
expect(text).to.be(SIMPLE_TEXT);
}).timeout(TIMEOUT)
));
});
(IS_BROWSER ? describe : describe.skip)('should read video from canvas DOM element (browser only)', () => {
// img tag is unable to render pbm, so let's skip it.
const formats = FORMATS.filter(f => f !== 'pbm');
let canvasDOM = null;
let imageDOM = null;
let idx = 0;
beforeEach((done) => {
canvasDOM = document.createElement('canvas');
imageDOM = document.createElement('img');
imageDOM.setAttribute('crossOrigin', 'Anonymous');
imageDOM.onload = () => {
canvasDOM.getContext('2d').drawImage(imageDOM, 0, 0);
done();
};
imageDOM.setAttribute('src', `${IMAGE_PATH}/simple.${formats[idx]}`);
idx += 1;
});
afterEach(() => {
canvasDOM.remove();
imageDOM.remove();
});
formats.forEach(format => (
it(`support ${format} format`, async () => {
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(canvasDOM);
expect(text).to.be(SIMPLE_TEXT);
}).timeout(TIMEOUT)
));
});
(IS_BROWSER ? describe : describe.skip)('should read video from OffscreenCanvas (browser only)', () => {
// img tag is unable to render pbm, so let's skip it.
const formats = FORMATS.filter(f => f !== 'pbm');
let offscreenCanvas = null;
let imageDOM = null;
let idx = 0;
beforeEach((done) => {
imageDOM = document.createElement('img');
imageDOM.setAttribute('crossOrigin', 'Anonymous');
imageDOM.onload = () => {
offscreenCanvas = new OffscreenCanvas(imageDOM.width, imageDOM.height)
offscreenCanvas.getContext('2d').drawImage(imageDOM, 0, 0);
done();
};
imageDOM.setAttribute('src', `${IMAGE_PATH}/simple.${formats[idx]}`);
idx += 1;
});
afterEach(() => {
offscreenCanvas = null;
imageDOM.remove();
});
formats.forEach(format => (
it(`support ${format} format`, async () => {
await worker.reinitialize('eng');
const { data: { text } } = await worker.recognize(offscreenCanvas);
expect(text).to.be(SIMPLE_TEXT);
}).timeout(TIMEOUT)
));
});
});