[英]model.predict is not a function while using TensorflowJS
我已經瀏覽了互聯網的遠端,如下所示:
所有這些都有類似的模型預測方式:
model.predict()
根據文檔,它應該返回一個帶有預測的對象。 但是,我總是得到一個is not a function
錯誤。 下面是我的代碼片段。
constructor() {
console.time('Loading of model');
this.mobileNet = new MobileNet();
this.mobileNet.loadMobilenet();
console.timeEnd('Loading of model');
}
const result = tfc.tidy(() => {
// tfc.fromPixels() returns a Tensor from an image element.
const raw = tfc.fromPixels(this.CANVAS).toFloat();
const cropped = this.cropImage(raw);
const resized = tfc.image.resizeBilinear(cropped, [this.IMAGE_SIZE, this.IMAGE_SIZE])
// Normalize the image from [0, 255] to [-1, 1].
const offset = tfc.scalar(127);
const normalized = resized.sub(offset).div(offset);
// Reshape to a single-element batch so we can pass it to predict.
const batched = normalized.expandDims(0);
console.log(batched)
// Make a prediction through mobilenet.
return this.mobileNet.model.predict(batched).dataSync();
});
編輯包含模型的代碼
import * as tfc from '@tensorflow/tfjs-core';
import { loadFrozenModel } from '@tensorflow/tfjs-converter';
const MODEL_URL = '/assets/project-gaea/models/web_model.pb';
const WEIGHTS_URL = '/assets/project-gaea/models/weights_manifest.json';
const INPUT_NODE_NAME = 'input';
const OUTPUT_NODE_NAME = 'MobilenetV1/Predictions/Reshape_1';
const PREPROCESS_DIVISOR = tfc.scalar(255 / 2);
export default class MobileNet {
constructor() { }
async loadMobilenet() {
this.model = await loadFrozenModel(MODEL_URL, WEIGHTS_URL);
}
}
loadFrozenModel()
返回一個FrozenModel,而不是tf.model,因此您可以在此示例中看到, FrozenModel
使用execute()而不是predict()
聲明:本站的技術帖子網頁,遵循CC BY-SA 4.0協議,如果您需要轉載,請注明本站網址或者原文地址。任何問題請咨詢:yoyou2525@163.com.