Node.js AWS compareFaces（）Rekognition Javascript SDK错误：无法从S3获取对象元数据。检查对象密钥、区域和/或访问权限

我试图使用aws Rekognition API中的compareFaces（）函数，方法是引用与Rekognition位于同一区域的同一S3 bucket“reconfaces”中的两个文件（我将S3 bucket设置为us-east-1，因此Rekognition）。为了简单起见，我将bucket设置为public，并且我正在使用一个对Rekognion和S3拥有完全权限的用户（这在本例中不是必需的，只是为了澄清它）：

aws-Rekognion-config.js

const dotenv = require('dotenv');
dotenv.config();
const AWS = require('aws-sdk');

const rekognition = {
    "accessKeyId": process.env.AMAZON_DEV_ACCESS_KEY_ID,
    "secretAccessKey": process.env.AMAZON_DEV_SECRET_ACCESS_KEY,
    "region": "us-east-1"
  };

const Recognition = new AWS.Rekognition(rekognition);

module.exports = Recognition;

在index.js中，我做了一个简单的测试来比较我的bucket中的两个图像：

let express = require('express');
let router = express.Router();


var AWS = require('aws-sdk');

var rekognition = require('../config/aws-rekognition-config');


module.exports = () => {

    router.get('/compare/:uid', async(req,res,next) => {


 var params = {
  SimilarityThreshold: 90, 
  SourceImage: {
   S3Object: {
    Bucket: "reconfaces", 
    Name: "1541079978865.jpg"
   }
  }, 
  TargetImage: {
   S3Object: {
    Bucket: "reconfaces", 
    Name: "1541079982272.png"   }
  }
 };

  let faceMatches;

//tried promised version here as well but without any luck
  rekognition.compareFaces(params, function(err, data) {
    if (err) console.log(err, err.stack); // an error occurred
    else     console.log(data);           // successful response
  });
/* 
   try{
      faceMatches = await rekognition.compareFaces(params);
      let a = 1;
   }catch(err){
      console.log("Error comparing faces",err);
      return;
   } */


    });



  /* GET home page. */
  router.use('/', (req, res) => {
        //list all routes
      res.send({"Default":'Backend-'});
  });

  return router;
}

正如您所看到的，文件存在于bucket中，并且与Rekognion配置中指定的文件位于同一区域：

我正在使用的用户凭据的权限超过了执行此任务所需的权限：

我还必须提到，我通过api以及使用npm软件包multer-s3上传了文件：

    var multer = require('multer');
    var multerS3 = require('multer-s3');

    var s3 =  new aws.S3({
    "accessKeyId": process.env.AMAZON_DEV_ACCESS_KEY_ID,
    "secretAccessKey": process.env.AMAZON_DEV_SECRET_ACCESS_KEY,
    "region": "us-east-1",
    "s3BucketEndpoint": false,
    "endpoint": "https://s3.amazonaws.com"
  });


    var upload = multer({
      storage: multerS3({
        s3,
        bucket: 'reconfaces',
        metadata: function (req, file, cb) {
          cb(null, {fieldName: file.fieldname});
        },
        key: function (req, file, cb) {
          cb(null, Date.now() + path.extname(file.originalname));
        }
      })
    });

然后将其应用为中间件：

router.post('/upload', upload.array('image',10), async(req,res,next)=>{

  //upload picture to s3 

    console.log("Files uploaded successfully");
    res.json({data:"UPLOAD_SUCCESS"});
});

我不知道元数据是否被multer-s3弄乱了。但我也尝试从浏览器中的aws控制台上传这两个文件，我公开了这两个文件和bucket，我得到了相同的错误，所以我怀疑这与multer-s3包有关。这些文件没有损坏或任何东西，因为我可以下载并查看它们没有任何问题

我还尝试使用cli，但出现了相同的错误：

aws rekognition compare-faces  --source-image '{"S3Object":{"Bucket":"reconfaces","Name":"11112-face1.jpg"}}' --region us-east-1 --target-image '{"S3Object":{"Bucket":"reconfaces","Name":"11112-face2.jpg"}}'

这段视频中的那个家伙也做不到我想要的：

这家伙可以用我的特权

如果我抛出另一个操作，它将起作用：

aws rekognition detect-labels --image '{"S3Object":{"Bucket":"reconfaces","Name":"11112-face1.jpg"}}' 

它返回：

{
    "Labels": [
        {
            "Name": "Human",
            "Confidence": 99.17317962646484
        },
        {
            "Name": "People",
            "Confidence": 99.17317962646484
        },
        {
            "Name": "Person",
            "Confidence": 99.17317962646484
        },
        {
            "Name": "Face",
            "Confidence": 63.1695671081543
        },
        {
            "Name": "Head",
            "Confidence": 57.89347839355469
        },
        {
            "Name": "Portrait",
            "Confidence": 55.02056884765625
        },
        {
            "Name": "Glasses",
            "Confidence": 51.320011138916016
        },
        {
            "Name": "Child",
            "Confidence": 50.735557556152344
        },
        {
            "Name": "Kid",
            "Confidence": 50.735557556152344
        }
    ],
    "OrientationCorrection": "ROTATE_0"
}

所以它一定是有比较面端点的东西

有什么问题吗？。我看到很多人对这个特定的API有问题，但我在这里和github中找到的大多数答案都是关于这两种资源在不同的地区运行的，这不是我的情况

---

多谢各位

这个问题真的很愚蠢。在bucket中，我有一个face1.jpg和一个face.png，我用类似jpg的方式调用这两个

var params = {
  SimilarityThreshold: 90, 
  SourceImage: {
  S3Object: {
    Bucket: "reconfaces", 
    Name: "face1.jpg"
  }
  }, 
  TargetImage: {
  S3Object: {
    Bucket: "reconfaces", 
    Name: "face2.jpg"   }
  }
};

在使用face2.png更正face2.jpg后，我得到了正确的响应：

  var params = {
      SimilarityThreshold: 90, 
      SourceImage: {
      S3Object: {
        Bucket: "reconfaces", 
        Name: "face1.jpg"
      }
      }, 
      TargetImage: {
      S3Object: {
        Bucket: "reconfaces", 
        Name: "face2.png"   }
      }
    };

答复：

{
    "SourceImageFace": {
        "BoundingBox": {
            "Width": 0.48317307233810425,
            "Height": 0.6442307829856873,
            "Left": 0.2584134638309479,
            "Top": 0.18910256028175354
        },
        "Confidence": 99.9949722290039
    },
    "FaceMatches": [
        {
            "Similarity": 98,
            "Face": {
                "BoundingBox": {
                    "Width": 0.2640642821788788,
                    "Height": 0.2769230902194977,
                    "Left": 0.16237494349479675,
                    "Top": 0.29230770468711853
                },
                "Confidence": 99.84500122070312,
                "Landmarks": [
                    {
                        "Type": "eyeLeft",
                        "X": 0.2420874983072281,
                        "Y": 0.3932344913482666
                    },
                    {
                        "Type": "eyeRight",
                        "X": 0.3406614661216736,
                        "Y": 0.3887109160423279
                    },
                    {
                        "Type": "nose",
                        "X": 0.3142981231212616,
                        "Y": 0.4448704421520233
                    },
                    {
                        "Type": "mouthLeft",
                        "X": 0.2604469358921051,
                        "Y": 0.5106690526008606
                    },
                    {
                        "Type": "mouthRight",
                        "X": 0.3448459208011627,
                        "Y": 0.5012921690940857
                    }
                ],
                "Pose": {
                    "Roll": -3.831692695617676,
                    "Yaw": 14.12887954711914,
                    "Pitch": 3.8166630268096924
                },
                "Quality": {
                    "Brightness": 82.77690887451172,
                    "Sharpness": 89.91268920898438
                }
            }
        }
    ],
    "UnmatchedFaces": [],
    "SourceImageOrientationCorrection": "ROTATE_0",
    "TargetImageOrientationCorrection": "ROTATE_0"
}

最后，检查文件名是否与目标存储桶中的文件名匹配。我想我得睡一会儿了