Tesseract.js version (version number for npm/GitHub release, or specific commit for repo)
v5.0.4
Describe the bug
I am running node js v20 and I am trying parallel processing on multiple images at once, but the code assigns the workers linearly, one by one and only a single worker gets used even if i assign 7 of them.
To Reproduce
Steps to reproduce the behavior:
This is the code:
const path = require('path');
const fs = require('fs').promises;
async function processImages() {
const folderPath = path.resolve(__dirname, './testing');
try {
console.log('Reading files from the specified folder:', folderPath);
const files = await fs.readdir(folderPath);
if (files.length === 0) {
throw new Error('No image files found in the specified folder.');
}
console.log('Number of image files found:', files.length);
const imageArr = files.map(file => path.join(folderPath, file));
const scheduler = createScheduler();
const workerGen = async () => {
console.log('Creating a worker.');
const worker = await createWorker("eng", 1, { logger:m => {console.log(m)} ,cachePath: "." });
scheduler.addWorker(worker);
}
const workerN = 7;
console.log(`Creating ${workerN} workers.`);
const resArr = Array(workerN);
for (let i = 0; i < workerN; i++) {
resArr[i] = workerGen();
}
await Promise.all(resArr);
console.log('Processing images and performing OCR:');
const results = [];
for (let i = 0; i < imageArr.length; i++) {
const imagePath = imageArr[i];
console.log(`Processing image ${i + 1}/${imageArr.length}: ${imagePath}`);
const out = await scheduler.addJob('recognize', imagePath);
const result = {
imageName: path.basename(imagePath),
words: out.data.words.map(word => ({
text: word.text,
confidence: word.confidence.toFixed(2),
bbox: word.bbox,
})),
};
results.push(result);
console.log(`Processing of image ${i + 1}/${imageArr.length} complete.`);
}
await scheduler.terminate(); //terminate workers
console.log('OCR processing completed.');
// Save the results as a JSON file
const jsonFilePath = path.resolve(__dirname, 'ocr_results.json');
console.log('Exporting OCR results to JSON file:', jsonFilePath);
await fs.writeFile(jsonFilePath, JSON.stringify(results, null, 2));
console.log('OCR results saved to:', jsonFilePath);
} catch (error) {
console.error('Error:', error.message);
}
}
processImages();
Maybe I have messed up the worker assigning logic.
The code above initiates recognition, and then stores the words and their corresponding confidence value in an array and then finally dumps them into a json file with bbox data for further processing and manipulation.
Expected behavior
Parallel processing running successfully on the images in the folder.
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