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# Utilizzo `RecognizeCelebrities` con un AWS SDK o una CLI
Gli esempi di codice seguenti mostrano come utilizzare `RecognizeCelebrities`.
Per ulteriori informazioni, consulta [Riconoscimento delle celebrità in un'immagine](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-procedure-image.html).
------
#### [ .NET ]
**SDK per .NET**
C'è altro su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Rekognition/#code-examples).
```
using System;
using System.IO;
using System.Threading.Tasks;
using Amazon.Rekognition;
using Amazon.Rekognition.Model;
///
/// Shows how to use Amazon Rekognition to identify celebrities in a photo.
///
public class CelebritiesInImage
{
public static async Task Main(string[] args)
{
string photo = "moviestars.jpg";
var rekognitionClient = new AmazonRekognitionClient();
var recognizeCelebritiesRequest = new RecognizeCelebritiesRequest();
var img = new Amazon.Rekognition.Model.Image();
byte[] data = null;
try
{
using var fs = new FileStream(photo, FileMode.Open, FileAccess.Read);
data = new byte[fs.Length];
fs.Read(data, 0, (int)fs.Length);
}
catch (Exception)
{
Console.WriteLine($"Failed to load file {photo}");
return;
}
img.Bytes = new MemoryStream(data);
recognizeCelebritiesRequest.Image = img;
Console.WriteLine($"Looking for celebrities in image {photo}\n");
var recognizeCelebritiesResponse = await rekognitionClient.RecognizeCelebritiesAsync(recognizeCelebritiesRequest);
Console.WriteLine($"{recognizeCelebritiesResponse.CelebrityFaces.Count} celebrity(s) were recognized.\n");
recognizeCelebritiesResponse.CelebrityFaces.ForEach(celeb =>
{
Console.WriteLine($"Celebrity recognized: {celeb.Name}");
Console.WriteLine($"Celebrity ID: {celeb.Id}");
BoundingBox boundingBox = celeb.Face.BoundingBox;
Console.WriteLine($"position: {boundingBox.Left} {boundingBox.Top}");
Console.WriteLine("Further information (if available):");
celeb.Urls.ForEach(url =>
{
Console.WriteLine(url);
});
});
Console.WriteLine($"{recognizeCelebritiesResponse.UnrecognizedFaces.Count} face(s) were unrecognized.");
}
}
```
+ Per i dettagli sull'API, consulta la [RecognizeCelebrities](https://docs.aws.amazon.com/goto/DotNetSDKV3/rekognition-2016-06-27/RecognizeCelebrities)sezione *AWS SDK per .NET API Reference*.
------
#### [ CLI ]
**AWS CLI**
**Come riconoscere le celebrità in un’immagine**
Il comando `recognize-celebrities` seguente riconosce le celebrità nell’immagine specificata archiviata in un bucket Amazon S3:
```
aws rekognition recognize-celebrities \
--image {{"S3Object={Bucket=MyImageS3Bucket,Name=moviestars.jpg}"}}
```
Output:
```
{
"UnrecognizedFaces": [
{
"BoundingBox": {
"Width": 0.14416666328907013,
"Top": 0.07777778059244156,
"Left": 0.625,
"Height": 0.2746031880378723
},
"Confidence": 99.9990234375,
"Pose": {
"Yaw": 10.80408763885498,
"Roll": -12.761146545410156,
"Pitch": 10.96889877319336
},
"Quality": {
"Sharpness": 94.1185531616211,
"Brightness": 79.18367004394531
},
"Landmarks": [
{
"Y": 0.18220913410186768,
"X": 0.6702951788902283,
"Type": "eyeLeft"
},
{
"Y": 0.16337193548679352,
"X": 0.7188183665275574,
"Type": "eyeRight"
},
{
"Y": 0.20739148557186127,
"X": 0.7055801749229431,
"Type": "nose"
},
{
"Y": 0.2889308035373688,
"X": 0.687512218952179,
"Type": "mouthLeft"
},
{
"Y": 0.2706988751888275,
"X": 0.7250053286552429,
"Type": "mouthRight"
}
]
}
],
"CelebrityFaces": [
{
"MatchConfidence": 100.0,
"Face": {
"BoundingBox": {
"Width": 0.14000000059604645,
"Top": 0.1190476194024086,
"Left": 0.82833331823349,
"Height": 0.2666666805744171
},
"Confidence": 99.99359130859375,
"Pose": {
"Yaw": -10.509642601013184,
"Roll": -14.51749324798584,
"Pitch": 13.799399375915527
},
"Quality": {
"Sharpness": 78.74752044677734,
"Brightness": 42.201324462890625
},
"Landmarks": [
{
"Y": 0.2290833294391632,
"X": 0.8709492087364197,
"Type": "eyeLeft"
},
{
"Y": 0.20639978349208832,
"X": 0.9153988361358643,
"Type": "eyeRight"
},
{
"Y": 0.25417643785476685,
"X": 0.8907724022865295,
"Type": "nose"
},
{
"Y": 0.32729196548461914,
"X": 0.8876466155052185,
"Type": "mouthLeft"
},
{
"Y": 0.3115464746952057,
"X": 0.9238573312759399,
"Type": "mouthRight"
}
]
},
"Name": "Celeb A",
"Urls": [
"www.imdb.com/name/aaaaaaaaa"
],
"Id": "1111111"
},
{
"MatchConfidence": 97.0,
"Face": {
"BoundingBox": {
"Width": 0.13333334028720856,
"Top": 0.24920634925365448,
"Left": 0.4449999928474426,
"Height": 0.2539682686328888
},
"Confidence": 99.99979400634766,
"Pose": {
"Yaw": 6.557040691375732,
"Roll": -7.316643714904785,
"Pitch": 9.272967338562012
},
"Quality": {
"Sharpness": 83.23492431640625,
"Brightness": 78.83267974853516
},
"Landmarks": [
{
"Y": 0.3625510632991791,
"X": 0.48898839950561523,
"Type": "eyeLeft"
},
{
"Y": 0.35366007685661316,
"X": 0.5313721299171448,
"Type": "eyeRight"
},
{
"Y": 0.3894785940647125,
"X": 0.5173314809799194,
"Type": "nose"
},
{
"Y": 0.44889405369758606,
"X": 0.5020005702972412,
"Type": "mouthLeft"
},
{
"Y": 0.4408611059188843,
"X": 0.5351271629333496,
"Type": "mouthRight"
}
]
},
"Name": "Celeb B",
"Urls": [
"www.imdb.com/name/bbbbbbbbb"
],
"Id": "2222222"
},
{
"MatchConfidence": 100.0,
"Face": {
"BoundingBox": {
"Width": 0.12416666746139526,
"Top": 0.2968254089355469,
"Left": 0.2150000035762787,
"Height": 0.23650793731212616
},
"Confidence": 99.99958801269531,
"Pose": {
"Yaw": 7.801797866821289,
"Roll": -8.326810836791992,
"Pitch": 7.844768047332764
},
"Quality": {
"Sharpness": 86.93206024169922,
"Brightness": 79.81291198730469
},
"Landmarks": [
{
"Y": 0.4027804136276245,
"X": 0.2575301229953766,
"Type": "eyeLeft"
},
{
"Y": 0.3934555947780609,
"X": 0.2956969439983368,
"Type": "eyeRight"
},
{
"Y": 0.4309830069541931,
"X": 0.2837020754814148,
"Type": "nose"
},
{
"Y": 0.48186683654785156,
"X": 0.26812544465065,
"Type": "mouthLeft"
},
{
"Y": 0.47338807582855225,
"X": 0.29905644059181213,
"Type": "mouthRight"
}
]
},
"Name": "Celeb C",
"Urls": [
"www.imdb.com/name/ccccccccc"
],
"Id": "3333333"
},
{
"MatchConfidence": 97.0,
"Face": {
"BoundingBox": {
"Width": 0.11916666477918625,
"Top": 0.3698412775993347,
"Left": 0.008333333767950535,
"Height": 0.22698412835597992
},
"Confidence": 99.99999237060547,
"Pose": {
"Yaw": 16.38478660583496,
"Roll": -1.0260354280471802,
"Pitch": 5.975185394287109
},
"Quality": {
"Sharpness": 83.23492431640625,
"Brightness": 61.408443450927734
},
"Landmarks": [
{
"Y": 0.4632347822189331,
"X": 0.049406956881284714,
"Type": "eyeLeft"
},
{
"Y": 0.46388113498687744,
"X": 0.08722897619009018,
"Type": "eyeRight"
},
{
"Y": 0.5020678639411926,
"X": 0.0758260041475296,
"Type": "nose"
},
{
"Y": 0.544157862663269,
"X": 0.054029736667871475,
"Type": "mouthLeft"
},
{
"Y": 0.5463630557060242,
"X": 0.08464983850717545,
"Type": "mouthRight"
}
]
},
"Name": "Celeb D",
"Urls": [
"www.imdb.com/name/ddddddddd"
],
"Id": "4444444"
}
]
}
```
Per ulteriori informazioni, consulta [Riconoscimento di volti celebri in un’immagine](https://docs.aws.amazon.com/rekognition/latest/dg/celebrities-procedure-image.html) nella *Guida per gli sviluppatori di Amazon Rekognition*.
+ Per i dettagli sull'API, consulta [RecognizeCelebrities AWS CLI](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/recognize-celebrities.html)*Command Reference*.
------
#### [ Java ]
**SDK per Java 2.x**
C'è altro su GitHub. Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/rekognition/#code-examples).
```
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.rekognition.RekognitionClient;
import software.amazon.awssdk.core.SdkBytes;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.InputStream;
import java.util.List;
import software.amazon.awssdk.services.rekognition.model.*;
/**
* 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 RecognizeCelebrities {
public static void main(String[] args) {
final String usage = """
Usage:
Where:
bucketName - The name of the S3 bucket where the images are stored.
sourceImage - The path to the image (for example, C:\\AWS\\pic1.png).\s
""";
if (args.length != 2) {
System.out.println(usage);
System.exit(1);
}
String bucketName = args[0];;
String sourceImage = args[1];
Region region = Region.US_WEST_2;
RekognitionClient rekClient = RekognitionClient.builder()
.region(region)
.build();
System.out.println("Locating celebrities in " + sourceImage);
recognizeAllCelebrities(rekClient, bucketName, sourceImage);
rekClient.close();
}
/**
* Recognizes all celebrities in an image stored in an Amazon S3 bucket.
*
* @param rekClient the Amazon Rekognition client used to perform the celebrity recognition operation
* @param bucketName the name of the Amazon S3 bucket where the source image is stored
* @param sourceImage the name of the source image file stored in the Amazon S3 bucket
*/
public static void recognizeAllCelebrities(RekognitionClient rekClient, String bucketName, String sourceImage) {
try {
S3Object s3ObjectTarget = S3Object.builder()
.bucket(bucketName)
.name(sourceImage)
.build();
Image souImage = Image.builder()
.s3Object(s3ObjectTarget)
.build();
RecognizeCelebritiesRequest request = RecognizeCelebritiesRequest.builder()
.image(souImage)
.build();
RecognizeCelebritiesResponse result = rekClient.recognizeCelebrities(request);
List celebs = result.celebrityFaces();
System.out.println(celebs.size() + " celebrity(s) were recognized.\n");
for (Celebrity celebrity : celebs) {
System.out.println("Celebrity recognized: " + celebrity.name());
System.out.println("Celebrity ID: " + celebrity.id());
System.out.println("Further information (if available):");
for (String url : celebrity.urls()) {
System.out.println(url);
}
System.out.println();
}
System.out.println(result.unrecognizedFaces().size() + " face(s) were unrecognized.");
} catch (RekognitionException e) {
System.out.println(e.getMessage());
System.exit(1);
}
}
}
```
+ Per i dettagli sull'API, consulta la [RecognizeCelebrities](https://docs.aws.amazon.com/goto/SdkForJavaV2/rekognition-2016-06-27/RecognizeCelebrities)sezione *AWS SDK for Java 2.x API Reference*.
------
#### [ Kotlin ]
**SDK per Kotlin**
C'è di più su GitHub. Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/rekognition#code-examples).
```
suspend fun recognizeAllCelebrities(sourceImage: String?) {
val souImage =
Image {
bytes = (File(sourceImage).readBytes())
}
val request =
RecognizeCelebritiesRequest {
image = souImage
}
RekognitionClient.fromEnvironment { region = "us-east-1" }.use { rekClient ->
val response = rekClient.recognizeCelebrities(request)
response.celebrityFaces?.forEach { celebrity ->
println("Celebrity recognized: ${celebrity.name}")
println("Celebrity ID:${celebrity.id}")
println("Further information (if available):")
celebrity.urls?.forEach { url ->
println(url)
}
}
println("${response.unrecognizedFaces?.size} face(s) were unrecognized.")
}
}
```
+ Per i dettagli sull'API, [RecognizeCelebrities](https://sdk.amazonaws.com/kotlin/api/latest/index.html)consulta *AWS SDK for Kotlin* API reference.
------
#### [ Python ]
**SDK per Python (Boto3)**
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/rekognition#code-examples).
```
class RekognitionImage:
"""
Encapsulates an Amazon Rekognition image. This class is a thin wrapper
around parts of the Boto3 Amazon Rekognition API.
"""
def __init__(self, image, image_name, rekognition_client):
"""
Initializes the image object.
:param image: Data that defines the image, either the image bytes or
an Amazon S3 bucket and object key.
:param image_name: The name of the image.
:param rekognition_client: A Boto3 Rekognition client.
"""
self.image = image
self.image_name = image_name
self.rekognition_client = rekognition_client
def recognize_celebrities(self):
"""
Detects celebrities in the image.
:return: A tuple. The first element is the list of celebrities found in
the image. The second element is the list of faces that were
detected but did not match any known celebrities.
"""
try:
response = self.rekognition_client.recognize_celebrities(Image=self.image)
celebrities = [
RekognitionCelebrity(celeb) for celeb in response["CelebrityFaces"]
]
other_faces = [
RekognitionFace(face) for face in response["UnrecognizedFaces"]
]
logger.info(
"Found %s celebrities and %s other faces in %s.",
len(celebrities),
len(other_faces),
self.image_name,
)
except ClientError:
logger.exception("Couldn't detect celebrities in %s.", self.image_name)
raise
else:
return celebrities, other_faces
```
+ Per i dettagli sull'API, consulta [RecognizeCelebrities AWS](https://docs.aws.amazon.com/goto/boto3/rekognition-2016-06-27/RecognizeCelebrities)*SDK for Python (Boto3) API Reference*.
------
#### [ SAP ABAP ]
**SDK per SAP ABAP**
C'è altro da fare. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/rek#code-examples).
```
TRY.
" Create S3 object reference for the image
DATA(lo_s3object) = NEW /aws1/cl_reks3object(
iv_bucket = iv_s3_bucket
iv_name = iv_s3_key ).
" Create image object
DATA(lo_image) = NEW /aws1/cl_rekimage(
io_s3object = lo_s3object ).
" Recognize celebrities
oo_result = lo_rek->recognizecelebrities(
io_image = lo_image ).
DATA(lt_celebrity_faces) = oo_result->get_celebrityfaces( ).
DATA(lv_celeb_count) = lines( lt_celebrity_faces ).
DATA(lv_msg12) = |{ lv_celeb_count } celebrity/celebrities recognized.|.
MESSAGE lv_msg12 TYPE 'I'.
CATCH /aws1/cx_rekinvalids3objectex.
MESSAGE 'Invalid S3 object.' TYPE 'E'.
CATCH /aws1/cx_rekinvalidparameterex.
MESSAGE 'Invalid parameter value.' TYPE 'E'.
ENDTRY.
```
+ Per i dettagli sulle API, [RecognizeCelebrities](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)consulta *AWS SDK for SAP ABAP* API reference.
------
Per un elenco completo delle guide per sviluppatori AWS SDK e degli esempi di codice, consulta. [Usare Rekognition con un SDK AWS](sdk-general-information-section.md) Questo argomento include anche informazioni su come iniziare e dettagli sulle versioni precedenti dell’SDK.