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7bf5f68 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers@4.2.0';
export const MODEL_OPTIONS = [
{
key: 'resnet18',
label: 'ResNet-18',
modelId: 'Xenova/resnet-18',
task: 'image-classification',
note: 'Recommended classroom default: a compact CNN with 1,000 ImageNet labels.',
dtype: 'q8',
},
{
key: 'vit',
label: 'ViT-B/16',
modelId: 'Xenova/vit-base-patch16-224',
task: 'image-classification',
note: 'A Vision Transformer that compares patterns across image patches.',
dtype: 'q8',
},
{
key: 'clip',
label: 'CLIP ViT-B/32',
modelId: 'Xenova/clip-vit-base-patch32',
task: 'zero-shot-image-classification',
note: 'A vision-language model that ranks your own candidate descriptions.',
dtype: 'q8',
},
];
const classifierCache = new Map();
export function getModelOption(key) {
return MODEL_OPTIONS.find((model) => model.key === key) || MODEL_OPTIONS[0];
}
export async function loadClassifier(modelKey, progressCallback) {
const option = getModelOption(modelKey);
if (classifierCache.has(option.key)) return classifierCache.get(option.key);
const classifier = await pipeline(option.task, option.modelId, {
dtype: option.dtype,
progress_callback: progressCallback,
});
classifierCache.set(option.key, classifier);
return classifier;
}
export async function classifyImage(imageDataUrl, options = {}) {
const modelKey = options.modelKey || MODEL_OPTIONS[0].key;
const topK = Number.isFinite(options.topK) ? options.topK : 5;
const option = getModelOption(modelKey);
const classifier = await loadClassifier(modelKey, options.progressCallback);
let predictions;
if (option.task === 'zero-shot-image-classification') {
predictions = await classifier(imageDataUrl, options.candidateLabels, {
hypothesis_template: 'a photo of {}',
});
} else {
predictions = await classifier(imageDataUrl, { top_k: topK });
}
return [...predictions]
.sort((a, b) => Number(b.score) - Number(a.score))
.slice(0, topK);
}
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