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2ebb460f4adfe0ebf34d.onnx

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5fd9e75c3bb1f31c2207.wasm

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9f4d6e330a4b1cebd316.wasm

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a620c8c752bdf5c69d98.onnx

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browser.d.ts

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+export default removeBackground;
+export type { ImageSource, Config };
+import { Config } from './schema';
+type ImageSource = ImageData | ArrayBuffer | Uint8Array | Blob | URL | string;
+declare function removeBackground(image: ImageSource, configuration?: Config): Promise<Blob>;

browser.js.LICENSE.txt

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+/**
+ * @license
+ * Lodash <https://lodash.com/>
+ * Copyright OpenJS Foundation and other contributors <https://openjsf.org/>
+ * Released under MIT license <https://lodash.com/license>
+ * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>
+ * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
+ */

browser.mjs.LICENSE.txt

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+/**
+ * @license
+ * Lodash <https://lodash.com/>
+ * Copyright OpenJS Foundation and other contributors <https://openjsf.org/>
+ * Released under MIT license <https://lodash.com/license>
+ * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>
+ * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
+ */

bundle.d.ts

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+export { preload, load };
+import { Config } from './schema';
+type Entry = {
+    url: string;
+    size: number;
+    mime: string;
+};
+declare function load(key: string, config: Config): Promise<Blob>;
+declare function preload(config: Config): Promise<Map<string, Entry>>;

c285eb5377ad8280cf32.wasm

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deea8254622ca47c4771.wasm

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eac818d9d05525e8f209.wasm

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ec79eeba92555e43251e.wasm

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+version https://git-lfs.github.com/spec/v1
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+size 18215132

inference.d.ts

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+import { Imports } from './tensor';
+import { Config } from './schema';
+export declare function runInference(imageData: ImageData, config: Config, imports: Imports, session: any): Promise<ImageData>;

ort-web-rt.d.ts

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+export { createOnnxRuntime };
+import { Imports } from './tensor';
+declare function createOnnxRuntime(config: any): Imports;

schema.d.ts

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+export { ConfigSchema, Config, validateConfig };
+import { z } from 'zod';
+declare const ConfigSchema: z.ZodDefault<z.ZodObject<{
+    publicPath: z.ZodEffects<z.ZodOptional<z.ZodString>, string | undefined, string | undefined>;
+    debug: z.ZodDefault<z.ZodBoolean>;
+    proxyToWorker: z.ZodDefault<z.ZodBoolean>;
+    fetchArgs: z.ZodDefault<z.ZodObject<{}, "strip", z.ZodTypeAny, {}, {}>>;
+    progress: z.ZodOptional<z.ZodFunction<z.ZodTuple<[z.ZodString, z.ZodNumber, z.ZodNumber], z.ZodUnknown>, z.ZodUndefined>>;
+    model: z.ZodDefault<z.ZodEnum<["small", "medium"]>>;
+}, "strip", z.ZodTypeAny, {
+    debug: boolean;
+    proxyToWorker: boolean;
+    fetchArgs: {};
+    model: "small" | "medium";
+    publicPath?: string | undefined;
+    progress?: ((args_0: string, args_1: number, args_2: number, ...args_3: unknown[]) => undefined) | undefined;
+}, {
+    publicPath?: string | undefined;
+    debug?: boolean | undefined;
+    proxyToWorker?: boolean | undefined;
+    fetchArgs?: {} | undefined;
+    progress?: ((args_0: string, args_1: number, args_2: number, ...args_3: unknown[]) => undefined) | undefined;
+    model?: "small" | "medium" | undefined;
+}>>;
+type Config = z.infer<typeof ConfigSchema>;
+declare function validateConfig(config?: Config): Config;

tensor.d.ts

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+export type Tensor = {
+    shape: number[];
+    data: Float32Array;
+    dataType: 'float32';
+};
+export type Imports = {
+    createSession: (model: any) => Promise<any>;
+    runSession(session: any, inputs: [string, Tensor][], outputs: [string]): Promise<Tensor[]>;
+};

utils.d.ts

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+export { imageDecode, imageEncode, imageBitmapToImageData, imageDataResize, imageDataToFloat32Array, calculateProportionalSize, isAbsoluteURL, ensureAbsoluteURL, imageSourceToImageData };
+declare function imageDecode(blob: Blob): Promise<ImageData>;
+declare function imageEncode(imageData: ImageData, quality?: number, type?: string): Promise<Blob>;
+declare function imageBitmapToImageData(imageBitmap: ImageBitmap): ImageData;
+declare function imageDataResize(imageData: ImageData, newWidth: number, newHeight: number): Promise<ImageData>;
+declare function imageDataToFloat32Array(image: ImageData, mean?: number[], std?: number[]): Float32Array;
+declare function calculateProportionalSize(originalWidth: number, originalHeight: number, maxWidth: number, maxHeight: number): [number, number];
+declare function isAbsoluteURL(url: string): boolean;
+declare function ensureAbsoluteURL(url: string): string;
+declare function imageSourceToImageData(image: string | URL | ArrayBuffer | ImageData | Blob | Uint8Array): Promise<ImageData>;