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import { InferenceOutputError } from "../../lib/InferenceOutputError"; | |
import type { BaseArgs, Options } from "../../types"; | |
import { request } from "../custom/request"; | |
export type ImageClassificationArgs = BaseArgs & { | |
/** | |
* Binary image data | |
*/ | |
data: Blob | ArrayBuffer; | |
}; | |
export interface ImageClassificationOutputValue { | |
/** | |
* The label for the class (model specific) | |
*/ | |
label: string; | |
/** | |
* A float that represents how likely it is that the image file belongs to this class. | |
*/ | |
score: number; | |
} | |
export type ImageClassificationOutput = ImageClassificationOutputValue[]; | |
/** | |
* This task reads some image input and outputs the likelihood of classes. | |
* Recommended model: google/vit-base-patch16-224 | |
*/ | |
export async function imageClassification( | |
args: ImageClassificationArgs, | |
options?: Options | |
): Promise<ImageClassificationOutput> { | |
const res = await request<ImageClassificationOutput>(args, { | |
...options, | |
taskHint: "image-classification", | |
}); | |
const isValidOutput = | |
Array.isArray(res) && res.every((x) => typeof x.label === "string" && typeof x.score === "number"); | |
if (!isValidOutput) { | |
throw new InferenceOutputError("Expected Array<{label: string, score: number}>"); | |
} | |
return res; | |
} | |