ListFacesOR와 함께 사용 AWS SDK CLI

    using System;
    using System.Threading.Tasks;
    using Amazon.Rekognition;
    using Amazon.Rekognition.Model;

    /// <summary>
    /// Uses the Amazon Rekognition Service to retrieve the list of faces
    /// stored in a collection.
    /// </summary>
    public class ListFaces
    {
        public static async Task Main()
        {
            string collectionId = "MyCollection2";

            var rekognitionClient = new AmazonRekognitionClient();

            var listFacesResponse = new ListFacesResponse();
            Console.WriteLine($"Faces in collection {collectionId}");

            var listFacesRequest = new ListFacesRequest
            {
                CollectionId = collectionId,
                MaxResults = 1,
            };

            do
            {
                listFacesResponse = await rekognitionClient.ListFacesAsync(listFacesRequest);
                listFacesResponse.Faces.ForEach(face =>
                {
                    Console.WriteLine(face.FaceId);
                });

                listFacesRequest.NextToken = listFacesResponse.NextToken;
            }
            while (!string.IsNullOrEmpty(listFacesResponse.NextToken));
        }
    }

모음에 있는 얼굴을 나열하는 방법

다음 list-faces 명령은 지정된 모음에 있는 얼굴을 나열합니다.

aws rekognition list-faces \
    --collection-id MyCollection

출력:

{
    "FaceModelVersion": "3.0",
    "Faces": [
        {
            "BoundingBox": {
                "Width": 0.5216310024261475,
                "Top": 0.3256250023841858,
                "Left": 0.13394300639629364,
                "Height": 0.3918749988079071
            },
            "FaceId": "0040279c-0178-436e-b70a-e61b074e96b0",
            "ExternalImageId": "image1.jpg",
            "Confidence": 100.0,
            "ImageId": "f976e487-3719-5e2d-be8b-ea2724c26991"
        },
        {
            "BoundingBox": {
                "Width": 0.5074880123138428,
                "Top": 0.3774999976158142,
                "Left": 0.18302799761295319,
                "Height": 0.3812499940395355
            },
            "FaceId": "086261e8-6deb-4bc0-ac73-ab22323cc38d",
            "ExternalImageId": "image2.jpg",
            "Confidence": 99.99930572509766,
            "ImageId": "ae1593b0-a8f6-5e24-a306-abf529e276fa"
        },
        {
            "BoundingBox": {
                "Width": 0.5574039816856384,
                "Top": 0.37187498807907104,
                "Left": 0.14559100568294525,
                "Height": 0.4181250035762787
            },
            "FaceId": "11c4bd3c-19c5-4eb8-aecc-24feb93a26e1",
            "ExternalImageId": "image3.jpg",
            "Confidence": 99.99960327148438,
            "ImageId": "80739b4d-883f-5b78-97cf-5124038e26b9"
        },
        {
            "BoundingBox": {
                "Width": 0.18562500178813934,
                "Top": 0.1618019938468933,
                "Left": 0.5575000047683716,
                "Height": 0.24770599603652954
            },
            "FaceId": "13692fe4-990a-4679-b14a-5ac23d135eab",
            "ExternalImageId": "image4.jpg",
            "Confidence": 99.99340057373047,
            "ImageId": "8df18239-9ad1-5acd-a46a-6581ff98f51b"
        },
        {
            "BoundingBox": {
                "Width": 0.5307819843292236,
                "Top": 0.2862499952316284,
                "Left": 0.1564060002565384,
                "Height": 0.3987500071525574
            },
            "FaceId": "2eb5f3fd-e2a9-4b1c-a89f-afa0a518fe06",
            "ExternalImageId": "image5.jpg",
            "Confidence": 99.99970245361328,
            "ImageId": "3c314792-197d-528d-bbb6-798ed012c150"
        },
        {
            "BoundingBox": {
                "Width": 0.5773710012435913,
                "Top": 0.34437501430511475,
                "Left": 0.12396000325679779,
                "Height": 0.4337500035762787
            },
            "FaceId": "57189455-42b0-4839-a86c-abda48b13174",
            "ExternalImageId": "image6.jpg",
            "Confidence": 100.0,
            "ImageId": "0aff2f37-e7a2-5dbc-a3a3-4ef6ec18eaa0"
        },
        {
            "BoundingBox": {
                "Width": 0.5349419713020325,
                "Top": 0.29124999046325684,
                "Left": 0.16389399766921997,
                "Height": 0.40187498927116394
            },
            "FaceId": "745f7509-b1fa-44e0-8b95-367b1359638a",
            "ExternalImageId": "image7.jpg",
            "Confidence": 99.99979400634766,
            "ImageId": "67a34327-48d1-5179-b042-01e52ccfeada"
        },
        {
            "BoundingBox": {
                "Width": 0.41499999165534973,
                "Top": 0.09187500178813934,
                "Left": 0.28083300590515137,
                "Height": 0.3112500011920929
            },
            "FaceId": "8d3cfc70-4ba8-4b36-9644-90fba29c2dac",
            "ExternalImageId": "image8.jpg",
            "Confidence": 99.99769592285156,
            "ImageId": "a294da46-2cb1-5cc4-9045-61d7ca567662"
        },
        {
            "BoundingBox": {
                "Width": 0.48166701197624207,
                "Top": 0.20999999344348907,
                "Left": 0.21250000596046448,
                "Height": 0.36125001311302185
            },
            "FaceId": "bd4ceb4d-9acc-4ab7-8ef8-1c2d2ba0a66a",
            "ExternalImageId": "image9.jpg",
            "Confidence": 99.99949645996094,
            "ImageId": "5e1a7588-e5a0-5ee3-bd00-c642518dfe3a"
        },
        {
            "BoundingBox": {
                "Width": 0.18562500178813934,
                "Top": 0.1618019938468933,
                "Left": 0.5575000047683716,
                "Height": 0.24770599603652954
            },
            "FaceId": "ce7ed422-2132-4a11-ab14-06c5c410f29f",
            "ExternalImageId": "image10.jpg",
            "Confidence": 99.99340057373047,
            "ImageId": "8d67061e-90d2-598f-9fbd-29c8497039c0"
        }
    ]
}

자세한 내용은 Amazon Rekognition 개발자 안내서의 모음에 얼굴 나열을 참조하세요.

import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.rekognition.RekognitionClient;
import software.amazon.awssdk.services.rekognition.model.Face;
import software.amazon.awssdk.services.rekognition.model.ListFacesRequest;
import software.amazon.awssdk.services.rekognition.model.ListFacesResponse;
import software.amazon.awssdk.services.rekognition.model.RekognitionException;
import java.util.List;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class ListFacesInCollection {
    public static void main(String[] args) {
        final String usage = """

                Usage:    <collectionId>

                Where:
                   collectionId - The name of the collection.\s
                """;

        if (args.length < 1) {
            System.out.println(usage);
            System.exit(1);
        }

        String collectionId = args[0];
        Region region = Region.US_EAST_1;
        RekognitionClient rekClient = RekognitionClient.builder()
                .region(region)
                .build();

        System.out.println("Faces in collection " + collectionId);
        listFacesCollection(rekClient, collectionId);
        rekClient.close();
    }

    public static void listFacesCollection(RekognitionClient rekClient, String collectionId) {
        try {
            ListFacesRequest facesRequest = ListFacesRequest.builder()
                    .collectionId(collectionId)
                    .maxResults(10)
                    .build();

            ListFacesResponse facesResponse = rekClient.listFaces(facesRequest);
            List<Face> faces = facesResponse.faces();
            for (Face face : faces) {
                System.out.println("Confidence level there is a face: " + face.confidence());
                System.out.println("The face Id value is " + face.faceId());
            }

        } catch (RekognitionException e) {
            System.out.println(e.getMessage());
            System.exit(1);
        }
    }
}

suspend fun listFacesCollection(collectionIdVal: String?) {
    val request =
        ListFacesRequest {
            collectionId = collectionIdVal
            maxResults = 10
        }

    RekognitionClient { region = "us-east-1" }.use { rekClient ->
        val response = rekClient.listFaces(request)
        response.faces?.forEach { face ->
            println("Confidence level there is a face: ${face.confidence}")
            println("The face Id value is ${face.faceId}")
        }
    }
}

class RekognitionCollection:
    """
    Encapsulates an Amazon Rekognition collection. This class is a thin wrapper
    around parts of the Boto3 Amazon Rekognition API.
    """

    def __init__(self, collection, rekognition_client):
        """
        Initializes a collection object.

        :param collection: Collection data in the format returned by a call to
                           create_collection.
        :param rekognition_client: A Boto3 Rekognition client.
        """
        self.collection_id = collection["CollectionId"]
        self.collection_arn, self.face_count, self.created = self._unpack_collection(
            collection
        )
        self.rekognition_client = rekognition_client

    @staticmethod
    def _unpack_collection(collection):
        """
        Unpacks optional parts of a collection that can be returned by
        describe_collection.

        :param collection: The collection data.
        :return: A tuple of the data in the collection.
        """
        return (
            collection.get("CollectionArn"),
            collection.get("FaceCount", 0),
            collection.get("CreationTimestamp"),
        )


    def list_faces(self, max_results):
        """
        Lists the faces currently indexed in the collection.

        :param max_results: The maximum number of faces to return.
        :return: The list of faces in the collection.
        """
        try:
            response = self.rekognition_client.list_faces(
                CollectionId=self.collection_id, MaxResults=max_results
            )
            faces = [RekognitionFace(face) for face in response["Faces"]]
            logger.info(
                "Found %s faces in collection %s.", len(faces), self.collection_id
            )
        except ClientError:
            logger.exception(
                "Couldn't list faces in collection %s.", self.collection_id
            )
            raise
        else:
            return faces