IBM Watson Visual Recognition-由于凭证无效，访问被拒绝 [英] IBM Watson Visual Recognition - Access is denied due to invalid credentials

问题描述

我正在尝试将IBM Watson Visual Recognition工具与nodejs(快速)结合使用. 我遵循了指南，但我无法连接该工具.

I'm trying to use IBM Watson Visual Recognition tool with nodejs (express). I followed the instruction from the guide, but I can't connect with the tool.

var fs = require('fs');
var VisualRecognitionV3 = require('watson-developer-cloud/visual-recognition/v3');

var visualRecognition = new VisualRecognitionV3({
    version: '2018-03-19',
    api_key: 'api key',
});

var images_file = fs.createReadStream('public/images/fruitbowl.jpg');

var classifier_ids = ["food"];

var params = {
    images_file: images_file,
    classifier_ids: classifier_ids
};

visualRecognition.classify(params, function(err, response) {
    if (err)
        console.log(err);
    else
        var resp = JSON.stringify(response, null, 2)
        console.log(JSON.stringify(response, null, 2))
});

当我运行自己的nodejs应用程序时，我收到了此消息

When I run my nodejs app, I got this message

错误:未经授权:由于凭据无效，访问被拒绝.

Error: Unauthorized: Access is denied due to invalid credentials.

有人知道该身份验证问题的解决方案吗?

Does someone know the solution to this authentification problem?

推荐答案

您的仪表板可能看起来像这样，其中列出了您的API密钥.如果您有一堆iam_****属性，则可能需要使用iam_apikey而不是api_key进行身份验证.

Your dashboard likely looks like this with your API key listed. If you have a bunch of iam_**** properties, you probably need to authenticate using the iam_apikey instead of api_key.

根据 Watson身份验证文档，您可能应该使用如下代码进行身份验证:

Per the Watson Authentication documentation, you should probably be authenticating with code that looks like this:

const fs = require("fs");
const VisualRecognition = require("watson-developer-cloud/visual-recognition/v3");

const vr = new VisualRecognition({
    version: "2018-03-19",
    iam_apikey: "MY_API_KEY" // Instead of api_key
});

const images_file = fs.createReadStream("./fruit.jpg");

vr.classify({
    images_file,
    classifier_ids: ["food"]
}, (err, res) => {
    if (err) {
        throw err;
    }
    console.log(JSON.stringify(res));
});

在此图像上使用该代码:维基百科水果，结果如下:

Using that code on this image: Wikipedia Fruit, yields the following:

{
  "images": [
    {
      "classifiers": [
        {
          "classifier_id": "food",
          "name": "food",
          "classes": [
            {
              "class": "non-food",
              "score": 0.946
            }
          ]
        }
      ],
      "image": "fruit2.jpg"
    }
  ],
  "images_processed": 1,
  "custom_classes": 0
}

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