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@tensorflow-models/coco-ssd

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Object detection model (coco-ssd) in TensorFlow.js

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import * as tfc from '@tensorflow/tfjs-core'; import { NamedTensorsMap, TensorInfo } from '../data/types'; export declare const TFHUB_SEARCH_PARAM = "?tfjs-format=file"; export declare const DEFAULT_MODEL_NAME = "tensorflowjs_model.pb"; export declare const DEFAULT_MANIFEST_NAME = "weights_manifest.json"; export declare class FrozenModel implements tfc.InferenceModel { private modelUrl; private weightManifestUrl; private requestOption; private weightPrefix; private onProgress; private executor; private version; private handler; readonly modelVersion: string; readonly inputNodes: string[]; readonly outputNodes: string[]; readonly inputs: TensorInfo[]; readonly outputs: TensorInfo[]; readonly weights: NamedTensorsMap; constructor(modelUrl: string, weightManifestUrl: string, requestOption?: RequestInit, weightPrefix?: string, onProgress?: Function); private findIOHandler(); load(): Promise<boolean>; predict(inputs: tfc.Tensor | tfc.Tensor[] | tfc.NamedTensorMap, config?: tfc.ModelPredictConfig): tfc.Tensor | tfc.Tensor[] | tfc.NamedTensorMap; private constructTensorMap(inputs); execute(inputs: tfc.Tensor | tfc.Tensor[] | tfc.NamedTensorMap, outputs?: string | string[]): tfc.Tensor | tfc.Tensor[]; private execute_(inputs, strictInputCheck?, outputs?); executeAsync(inputs: tfc.Tensor | tfc.Tensor[] | tfc.NamedTensorMap, outputs?: string | string[]): Promise<tfc.Tensor | tfc.Tensor[]>; private convertTensorMapToTensorsMap(map); dispose(): void; } export declare function loadFrozenModel(modelUrl: string, weightsManifestUrl: string, requestOption?: RequestInit, onProgress?: Function): Promise<FrozenModel>; export declare function loadTfHubModule(tfhubModuleUrl: string, requestOption?: RequestInit, onProgress?: Function): Promise<FrozenModel>;