/**
* @license
* Copyright 2021 Google LLC. All Rights Reserved.
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
* =============================================================================
*/
import * as tflite from '@tensorflow/tfjs-tflite';
import {TaskModelLoader} from '../../task_model';
import {Runtime, Task, TFLiteCustomModelCommonLoadingOption} from '../common';
import {ImageClassifierTFLite} from './tflite_common';
// The global namespace type.
type TFLiteNS = typeof tflite;
/** Loading options. */
export interface ICCustomModelTFLiteLoadingOptions extends
TFLiteCustomModelCommonLoadingOption, tflite.ImageClassifierOptions {}
/**
* Inference options.
*
* TODO: placeholder for now.
*/
export interface ICCustomModelTFLiteInferenceOptions {}
/** Loader for custom image classification TFLite model. */
export class ImageClassificationCustomModelTFLiteLoader extends TaskModelLoader<
TFLiteNS, ICCustomModelTFLiteLoadingOptions, ICCustomModelTFLite> {
readonly metadata = {
name: 'Image classification with TFLite models',
description: 'An image classfier backed by the TFLite Task Library. ' +
'It can work with any models that meet the ' +
'model requirements. Try models from this ' +
'collection.',
resourceUrls: {
'TFLite task library': 'https://www.tensorflow.org/lite/' +
'inference_with_metadata/task_library/overview',
},
runtime: Runtime.TFLITE,
version: '0.0.1-alpha.3',
supportedTasks: [Task.IMAGE_CLASSIFICATION],
};
readonly packageUrls =
[[`https://cdn.jsdelivr.net/npm/@tensorflow/tfjs-tflite@${
this.metadata.version}/dist/tf-tflite.min.js`]];
readonly sourceModelGlobalNamespace = 'tflite';
protected async transformSourceModel(
sourceModelGlobal: TFLiteNS,
loadingOptions?: ICCustomModelTFLiteLoadingOptions):
Promise {
const tfliteImageClassifier =
await sourceModelGlobal.ImageClassifier.create(
loadingOptions.model, loadingOptions);
return new ICCustomModelTFLite(tfliteImageClassifier);
}
}
/**
* A custom TFLite image classification model loaded from a model url or
* an `ArrayBuffer` in memory.
*
* The underlying image classifier is built on top of the [TFLite Task
* Library](https://www.tensorflow.org/lite/inference_with_metadata/task_library/overview).
* As a result, the custom model needs to meet the [metadata
* requirements](https://www.tensorflow.org/lite/inference_with_metadata/task_library/image_classifier#model_compatibility_requirements).
*
* Usage:
*
* ```js
* // Load the model from a custom url with other options (optional).
* const model = await tfTask.ImageClassification.CustomModel.TFLite.load({
* model:
* 'https://tfhub.dev/google/lite-model/aiy/vision/classifier/plants_V1/3',
* });
*
* // Run inference on an image.
* const img = document.querySelector('img');
* const result = await model.predict(img);
* console.log(result.classes);
*
* // Clean up.
* model.cleanUp();
* ```
*
* Refer to `tfTask.ImageClassifier` for the `predict` and `cleanUp` method.
*
* @docextratypes [
* {description: 'Options for `load`', symbol:
* 'ICCustomModelTFLiteLoadingOptions'},
* {description: 'Options for `predict`', symbol:
* 'ICCustomModelTFLiteInferenceOptions'}
* ]
*
*
* @doc {heading: 'Image Classification', subheading: 'Models'}
*/
export class ICCustomModelTFLite extends
ImageClassifierTFLite {}
export const imageClassificationCustomModelTfliteLoader =
new ImageClassificationCustomModelTFLiteLoader();