D'autres exemples de AWS SDK sont disponibles dans le référentiel [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub .
Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra.
# Utilisation `DetectText` avec un AWS SDK ou une CLI
Les exemples de code suivants illustrent comment utiliser `DetectText`.
Pour plus d’informations, consultez [Détection de texte dans une image](https://docs.aws.amazon.com/rekognition/latest/dg/text-detecting-text-procedure.html).
------
#### [ .NET ]
**SDK pour .NET**
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Rekognition/#code-examples).
```
using System;
using System.Threading.Tasks;
using Amazon.Rekognition;
using Amazon.Rekognition.Model;
///
/// Uses the Amazon Rekognition Service to detect text in an image. The
/// example was created using the AWS SDK for .NET version 3.7 and .NET
/// Core 5.0.
///
public class DetectText
{
public static async Task Main()
{
string photo = "Dad_photographer.jpg"; // "input.jpg";
string bucket = "amzn-s3-demo-bucket"; // "bucket";
var rekognitionClient = new AmazonRekognitionClient();
var detectTextRequest = new DetectTextRequest()
{
Image = new Image()
{
S3Object = new S3Object()
{
Name = photo,
Bucket = bucket,
},
},
};
try
{
DetectTextResponse detectTextResponse = await rekognitionClient.DetectTextAsync(detectTextRequest);
Console.WriteLine($"Detected lines and words for {photo}");
detectTextResponse.TextDetections.ForEach(text =>
{
Console.WriteLine($"Detected: {text.DetectedText}");
Console.WriteLine($"Confidence: {text.Confidence}");
Console.WriteLine($"Id : {text.Id}");
Console.WriteLine($"Parent Id: {text.ParentId}");
Console.WriteLine($"Type: {text.Type}");
});
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}
}
```
+ Pour plus de détails sur l'API, reportez-vous [DetectText](https://docs.aws.amazon.com/goto/DotNetSDKV3/rekognition-2016-06-27/DetectText)à la section *Référence des AWS SDK pour .NET API*.
------
#### [ CLI ]
**AWS CLI**
**Pour détecter le texte dans une image**
La commande `detect-text` suivante détecte le texte dans l’image spécifiée.
```
aws rekognition detect-text \
--image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"ExamplePicture.jpg"}}'
```
Sortie :
```
{
"TextDetections": [
{
"Geometry": {
"BoundingBox": {
"Width": 0.24624845385551453,
"Top": 0.28288066387176514,
"Left": 0.391388863325119,
"Height": 0.022687450051307678
},
"Polygon": [
{
"Y": 0.28288066387176514,
"X": 0.391388863325119
},
{
"Y": 0.2826388478279114,
"X": 0.6376373171806335
},
{
"Y": 0.30532628297805786,
"X": 0.637677013874054
},
{
"Y": 0.305568128824234,
"X": 0.39142853021621704
}
]
},
"Confidence": 94.35709381103516,
"DetectedText": "ESTD 1882",
"Type": "LINE",
"Id": 0
},
{
"Geometry": {
"BoundingBox": {
"Width": 0.33933889865875244,
"Top": 0.32603850960731506,
"Left": 0.34534579515457153,
"Height": 0.07126858830451965
},
"Polygon": [
{
"Y": 0.32603850960731506,
"X": 0.34534579515457153
},
{
"Y": 0.32633158564567566,
"X": 0.684684693813324
},
{
"Y": 0.3976001739501953,
"X": 0.684575080871582
},
{
"Y": 0.3973070979118347,
"X": 0.345236212015152
}
]
},
"Confidence": 99.95779418945312,
"DetectedText": "BRAINS",
"Type": "LINE",
"Id": 1
},
{
"Confidence": 97.22098541259766,
"Geometry": {
"BoundingBox": {
"Width": 0.061079490929841995,
"Top": 0.2843210697174072,
"Left": 0.391391396522522,
"Height": 0.021029088646173477
},
"Polygon": [
{
"Y": 0.2843210697174072,
"X": 0.391391396522522
},
{
"Y": 0.2828207015991211,
"X": 0.4524524509906769
},
{
"Y": 0.3038259446620941,
"X": 0.4534534513950348
},
{
"Y": 0.30532634258270264,
"X": 0.3923923969268799
}
]
},
"DetectedText": "ESTD",
"ParentId": 0,
"Type": "WORD",
"Id": 2
},
{
"Confidence": 91.49320983886719,
"Geometry": {
"BoundingBox": {
"Width": 0.07007007300853729,
"Top": 0.2828207015991211,
"Left": 0.5675675868988037,
"Height": 0.02250562608242035
},
"Polygon": [
{
"Y": 0.2828207015991211,
"X": 0.5675675868988037
},
{
"Y": 0.2828207015991211,
"X": 0.6376376152038574
},
{
"Y": 0.30532634258270264,
"X": 0.6376376152038574
},
{
"Y": 0.30532634258270264,
"X": 0.5675675868988037
}
]
},
"DetectedText": "1882",
"ParentId": 0,
"Type": "WORD",
"Id": 3
},
{
"Confidence": 99.95779418945312,
"Geometry": {
"BoundingBox": {
"Width": 0.33933934569358826,
"Top": 0.32633158564567566,
"Left": 0.3453453481197357,
"Height": 0.07127484679222107
},
"Polygon": [
{
"Y": 0.32633158564567566,
"X": 0.3453453481197357
},
{
"Y": 0.32633158564567566,
"X": 0.684684693813324
},
{
"Y": 0.39759939908981323,
"X": 0.6836836934089661
},
{
"Y": 0.39684921503067017,
"X": 0.3453453481197357
}
]
},
"DetectedText": "BRAINS",
"ParentId": 1,
"Type": "WORD",
"Id": 4
}
]
}
```
+ Pour plus de détails sur l'API, voir [DetectText](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-text.html)la section *Référence des AWS CLI commandes*.
------
#### [ Java ]
**SDK pour Java 2.x**
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/rekognition/#code-examples).
```
import software.amazon.awssdk.core.SdkBytes;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.rekognition.RekognitionClient;
import software.amazon.awssdk.services.rekognition.model.*;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.InputStream;
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 DetectText {
public static void main(String[] args) {
final String usage = "\n" +
"Usage: \n" +
"\n" +
"Where:\n" +
" bucketName - The name of the S3 bucket where the image is stored\n" +
" sourceImage - The path to the image that contains text (for example, pic1.png). \n";
if (args.length != 2) {
System.out.println(usage);
System.exit(1);
}
String bucketName = args[0];
String sourceImage = args[1];
Region region = Region.US_EAST_1;
RekognitionClient rekClient = RekognitionClient.builder()
.region(region)
.build();
detectTextLabels(rekClient, bucketName, sourceImage);
rekClient.close();
}
/**
* Detects text labels in an image stored in an S3 bucket using Amazon Rekognition.
*
* @param rekClient an instance of the Amazon Rekognition client
* @param bucketName the name of the S3 bucket where the image is stored
* @param sourceImage the name of the image file in the S3 bucket
* @throws RekognitionException if an error occurs while calling the Amazon Rekognition API
*/
public static void detectTextLabels(RekognitionClient rekClient, String bucketName, String sourceImage) {
try {
S3Object s3ObjectTarget = S3Object.builder()
.bucket(bucketName)
.name(sourceImage)
.build();
Image souImage = Image.builder()
.s3Object(s3ObjectTarget)
.build();
DetectTextRequest textRequest = DetectTextRequest.builder()
.image(souImage)
.build();
DetectTextResponse textResponse = rekClient.detectText(textRequest);
List textCollection = textResponse.textDetections();
System.out.println("Detected lines and words");
for (TextDetection text : textCollection) {
System.out.println("Detected: " + text.detectedText());
System.out.println("Confidence: " + text.confidence().toString());
System.out.println("Id : " + text.id());
System.out.println("Parent Id: " + text.parentId());
System.out.println("Type: " + text.type());
System.out.println();
}
} catch (RekognitionException e) {
System.out.println(e.getMessage());
System.exit(1);
}
}
}
```
+ Pour plus de détails sur l'API, reportez-vous [DetectText](https://docs.aws.amazon.com/goto/SdkForJavaV2/rekognition-2016-06-27/DetectText)à la section *Référence des AWS SDK for Java 2.x API*.
------
#### [ Kotlin ]
**SDK pour Kotlin**
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/rekognition#code-examples).
```
suspend fun detectTextLabels(sourceImage: String?) {
val souImage =
Image {
bytes = (File(sourceImage).readBytes())
}
val request =
DetectTextRequest {
image = souImage
}
RekognitionClient.fromEnvironment { region = "us-east-1" }.use { rekClient ->
val response = rekClient.detectText(request)
response.textDetections?.forEach { text ->
println("Detected: ${text.detectedText}")
println("Confidence: ${text.confidence}")
println("Id: ${text.id}")
println("Parent Id: ${text.parentId}")
println("Type: ${text.type}")
}
}
}
```
+ Pour plus de détails sur l'API, consultez [DetectText](https://sdk.amazonaws.com/kotlin/api/latest/index.html)la section *AWS SDK pour la référence de l'API Kotlin*.
------
#### [ Python ]
**Kit SDK for Python (Boto3)**
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code 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 detect_text(self):
"""
Detects text in the image.
:return The list of text elements found in the image.
"""
try:
response = self.rekognition_client.detect_text(Image=self.image)
texts = [RekognitionText(text) for text in response["TextDetections"]]
logger.info("Found %s texts in %s.", len(texts), self.image_name)
except ClientError:
logger.exception("Couldn't detect text in %s.", self.image_name)
raise
else:
return texts
```
+ Pour plus de détails sur l'API, consultez [DetectText](https://docs.aws.amazon.com/goto/boto3/rekognition-2016-06-27/DetectText)le *AWS manuel de référence de l'API SDK for Python (Boto3*).
------
#### [ SAP ABAP ]
**Kit SDK pour SAP ABAP**
Il y en a plus à ce sujet GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code 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 ).
" Detect text in the image
oo_result = lo_rek->detecttext(
io_image = lo_image ).
DATA(lt_text_detections) = oo_result->get_textdetections( ).
DATA(lv_text_count) = lines( lt_text_detections ).
DATA(lv_msg11) = |{ lv_text_count } text detection(s) found.|.
MESSAGE lv_msg11 TYPE 'I'.
CATCH /aws1/cx_rekinvalids3objectex.
MESSAGE 'Invalid S3 object.' TYPE 'E'.
CATCH /aws1/cx_rekinvalidparameterex.
MESSAGE 'Invalid parameter value.' TYPE 'E'.
ENDTRY.
```
+ Pour plus de détails sur l'API, reportez-vous [DetectText](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)à la section de référence du *AWS SDK pour l'API SAP ABAP*.
------