37 lines
1.1 KiB
JavaScript
37 lines
1.1 KiB
JavaScript
"use strict";
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import fs from 'fs';
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import DataPreprocessor from '../../lib/DataPreprocessor.mjs';
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import FilmPredictor from '../../lib/FilmPredictor.mjs';
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export default async function(settings) {
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if(typeof settings.input !== "string") {
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console.error("Error: No input directory specified");
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process.exit(1);
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}
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if(typeof settings.output !== "string") {
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console.error("Error: No output directory specified");
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process.exit(1);
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}
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if(!fs.existsSync(settings.input)) {
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console.error(`Error: The input directory '${settings.input}' doesn't exist (did you type it correctly?)`);
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process.exit(1);
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}
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if(!fs.existsSync(settings.output))
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await fs.promises.mkdir(settings.output, { recursive: true, mode: 0o755 });
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let preprocessor = new DataPreprocessor(settings.input);
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let model = new FilmPredictor(settings, preprocessor.cats);
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model.image_size = settings.image_size;
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model.use_crossentropy = settings.cross_entropy;
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await model.init(); // We're training a new model here
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await model.train(
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preprocessor.dataset_train(),
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preprocessor.dataset_validate()
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);
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}
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