Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich. # Verwendung `DetectText` mit einem AWS SDK oder CLI Die folgenden Code-Beispiele zeigen, wie `DetectText` verwendet wird. Weitere Informationen finden Sie unter [Erkennen von Text in einem Bild](https://docs.aws.amazon.com/rekognition/latest/dg/text-detecting-text-procedure.html). ------ #### [ .NET ] **SDK für .NET** Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/dotnetv3/Rekognition/#code-examples) einrichten und ausführen. ``` 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); } } } ``` + Einzelheiten zur API finden Sie [DetectText](https://docs.aws.amazon.com/goto/DotNetSDKV3/rekognition-2016-06-27/DetectText)in der *AWS SDK für .NET API-Referenz*. ------ #### [ CLI ] **AWS CLI** **So erkennen Sie Text in einem Bild** Der folgende `detect-text`-Befehl erkennt Text im angegebenen Bild. ``` aws rekognition detect-text \ --image '{"S3Object":{"Bucket":"MyImageS3Bucket","Name":"ExamplePicture.jpg"}}' ``` Ausgabe: ``` { "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 } ] } ``` + Einzelheiten zur API finden Sie [DetectText](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/rekognition/detect-text.html)in der *AWS CLI Befehlsreferenz*. ------ #### [ Java ] **SDK für Java 2.x** Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/rekognition/#code-examples) einrichten und ausführen. ``` 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); } } } ``` + Einzelheiten zur API finden Sie [DetectText](https://docs.aws.amazon.com/goto/SdkForJavaV2/rekognition-2016-06-27/DetectText)in der *AWS SDK for Java 2.x API-Referenz*. ------ #### [ Kotlin ] **SDK für Kotlin** Es gibt noch mehr dazu GitHub. Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/rekognition#code-examples) einrichten und ausführen. ``` 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}") } } } ``` + Einzelheiten zur API finden Sie [DetectText](https://sdk.amazonaws.com/kotlin/api/latest/index.html)in der *API-Referenz zum AWS SDK für Kotlin*. ------ #### [ Python ] **SDK für Python (Boto3)** Es gibt noch mehr dazu. GitHub Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/rekognition#code-examples) einrichten und ausführen. ``` 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 ``` + Einzelheiten zur API finden Sie [DetectText](https://docs.aws.amazon.com/goto/boto3/rekognition-2016-06-27/DetectText)in *AWS SDK for Python (Boto3) API* Reference. ------ #### [ SAP ABAP ] **SDK für SAP ABAP** Es gibt noch mehr dazu. GitHub Hier finden Sie das vollständige Beispiel und erfahren, wie Sie das [AWS -Code-Beispiel-](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/rek#code-examples) einrichten und ausführen. ``` 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. ``` + Einzelheiten zur API finden Sie [DetectText](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)in der *API-Referenz zum AWS SDK für SAP ABAP*. ------ Eine vollständige Liste der AWS SDK-Entwicklerhandbücher und Codebeispiele finden Sie unter[Rekognition mit einem SDK verwenden AWS](sdk-general-information-section.md). Dieses Thema enthält auch Informationen zu den ersten Schritten und Details zu früheren SDK-Versionen.