How to call tensorflow_model_server from Nodejs, with an image

This is the metadata of my serving model

"metadata": {"signature_def": {
 "signature_def": {
  "serving_default": {
   "inputs": {
    "vgg16_input": {
     "dtype": "DT_FLOAT",
     "tensor_shape": {
      "dim": [
       {
        "size": "-1",
        "name": ""
       },
       {
        "size": "224",
        "name": ""
       },
       {
        "size": "224",
        "name": ""
       },
       {
        "size": "3",
        "name": ""
       }
      ],
      "unknown_rank": false
     },
     "name": "serving_default_vgg16_input:0"
    }
   }...

Sadly I don't know how to talk to it from NodeJs. How to transorm a local image to a valid 224,224,3 DT_FLOAT Tensor ...

In python, i can do it with this code, but I would like the nodejs version

import numpy as np
import requests
from keras.preprocessing import image

image_path = './data/black/fhb2l97vdi8qc0rt5ow3.jpg'
img = image.img_to_array(image.load_img(image_path, target_size=(224, 224))) / 255.
img = img.astype('float16')

payload = {
    "instances": [{'vgg16_input': img.tolist()}]
}

r = requests.post('http://ip:port/v1/models/color:predict', json=payload)
print(r.content)

So far my code

var request = require('request');
var fs = require('fs');
var myImg = __dirname + '/../tensorflow2/data/black/0a13y2gtunswi8ox4bjf.jpg';



var options = {
    method: 'POST',
    url: `http://ip:port/v1/models/color:predict`,
    json:{ 
          instances: [{'vgg16_input': ??????}]
        }

};

request(options, function (err, resp, body) {
    if (err)
      cb(err);

      console.log(body);
  });

Maybe i could use some function from tensorflowjs ...

from How to call tensorflow_model_server from Nodejs, with an image