Menganalisis citra yang dimuat dari sistem file lokal

Untuk mendeteksi label dalam citra lokal

1. Jika belum:

   1. Buat atau perbarui pengguna dengan AmazonRekognitionFullAccess dan AmazonS3ReadOnlyAccess izin. Untuk informasi selengkapnya, lihat Langkah 1: Siapkan akun AWS dan buat Pengguna.

   2. Instal dan konfigurasikan AWS CLI dan AWS SDKs. Untuk informasi selengkapnya, lihat Langkah 2: Mengatur AWS CLI dan AWS SDKs.

2. Gunakan contoh berikut untuk memanggil operasi DetectLabels.

   Java

   Contoh Java berikut menunjukkan cara memuat citra dari sistem file lokal dan mendeteksi label dengan menggunakan operasi AWS SDK detectLabels. Ubah nilai photo ke nama jalur dan file dari file citra (format .jpg atau .png).

   //Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
   //PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)
   
   package aws.example.rekognition.image;
   import java.io.File;
   import java.io.FileInputStream;
   import java.io.InputStream;
   import java.nio.ByteBuffer;
   import java.util.List;
   import com.amazonaws.services.rekognition.AmazonRekognition;
   import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
   import com.amazonaws.AmazonClientException;
   import com.amazonaws.services.rekognition.model.AmazonRekognitionException;
   import com.amazonaws.services.rekognition.model.DetectLabelsRequest;
   import com.amazonaws.services.rekognition.model.DetectLabelsResult;
   import com.amazonaws.services.rekognition.model.Image;
   import com.amazonaws.services.rekognition.model.Label;
   import com.amazonaws.util.IOUtils;
   
   public class DetectLabelsLocalFile {
       public static void main(String[] args) throws Exception {
       	String photo="input.jpg";
   
   
           ByteBuffer imageBytes;
           try (InputStream inputStream = new FileInputStream(new File(photo))) {
               imageBytes = ByteBuffer.wrap(IOUtils.toByteArray(inputStream));
           }
   
   
           AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
   
           DetectLabelsRequest request = new DetectLabelsRequest()
                   .withImage(new Image()
                           .withBytes(imageBytes))
                   .withMaxLabels(10)
                   .withMinConfidence(77F);
   
           try {
   
               DetectLabelsResult result = rekognitionClient.detectLabels(request);
               List <Label> labels = result.getLabels();
   
               System.out.println("Detected labels for " + photo);
               for (Label label: labels) {
                  System.out.println(label.getName() + ": " + label.getConfidence().toString());
               }
   
           } catch (AmazonRekognitionException e) {
               e.printStackTrace();
           }
   
       }
   }
   
   

   Python

   Contoh AWS SDK for Python berikut menunjukkan cara untuk memuat citra dari sistem file lokal dan memanggil operasi detect_labels. Ubah nilai photo ke nama jalur dan file dari file citra (format .jpg atau .png).

   #Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
   #PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)
   
   import boto3
   
   def detect_labels_local_file(photo):
   
   
       client=boto3.client('rekognition')
      
       with open(photo, 'rb') as image:
           response = client.detect_labels(Image={'Bytes': image.read()})
           
       print('Detected labels in ' + photo)    
       for label in response['Labels']:
           print (label['Name'] + ' : ' + str(label['Confidence']))
   
       return len(response['Labels'])
   
   def main():
       photo='photo'
   
       label_count=detect_labels_local_file(photo)
       print("Labels detected: " + str(label_count))
   
   
   if __name__ == "__main__":
       main()
   
   
   
   

   .NET

   Contoh berikut menunjukkan cara untuk memuat citra dari sistem file lokal dan mendeteksi label dengan menggunakan operasi DetectLabels. Ubah nilai photo ke nama jalur dan file dari file citra (format .jpg atau .png).

   //Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
   //PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)
   
   using System;
   using System.IO;
   using Amazon.Rekognition;
   using Amazon.Rekognition.Model;
   
   public class DetectLabelsLocalfile
   {
       public static void Example()
       {
           String photo = "input.jpg";
   
           Amazon.Rekognition.Model.Image image = new Amazon.Rekognition.Model.Image();
           try
           {
               using (FileStream fs = new FileStream(photo, FileMode.Open, FileAccess.Read))
               {
                   byte[] data = null;
                   data = new byte[fs.Length];
                   fs.Read(data, 0, (int)fs.Length);
                   image.Bytes = new MemoryStream(data);
               }
           }
           catch (Exception)
           {
               Console.WriteLine("Failed to load file " + photo);
               return;
           }
   
           AmazonRekognitionClient rekognitionClient = new AmazonRekognitionClient();
   
           DetectLabelsRequest detectlabelsRequest = new DetectLabelsRequest()
           {
               Image = image,
               MaxLabels = 10,
               MinConfidence = 77F
           };
   
           try
           {
               DetectLabelsResponse detectLabelsResponse = rekognitionClient.DetectLabels(detectlabelsRequest);
               Console.WriteLine("Detected labels for " + photo);
               foreach (Label label in detectLabelsResponse.Labels)
                   Console.WriteLine("{0}: {1}", label.Name, label.Confidence);
           }
           catch (Exception e)
           {
               Console.WriteLine(e.Message);
           }
       }
   }
   

   PHP

   Contoh AWS SDK for PHP berikut menunjukkan cara memuat gambar dari sistem file lokal dan memanggil operasi DetectFacesAPI. Ubah nilai photo ke nama jalur dan file dari file citra (format .jpg atau .png).

   
   <?php
   //Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
   //PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)
   
       require 'vendor/autoload.php';
   
       use Aws\Rekognition\RekognitionClient;
   
       $options = [
          'region'            => 'us-west-2',
           'version'           => 'latest'
       ];
   
       $rekognition = new RekognitionClient($options);
   	
       // Get local image
       $photo = 'input.jpg';
       $fp_image = fopen($photo, 'r');
       $image = fread($fp_image, filesize($photo));
       fclose($fp_image);
   
   
       // Call DetectFaces
       $result = $rekognition->DetectFaces(array(
          'Image' => array(
             'Bytes' => $image,
          ),
          'Attributes' => array('ALL')
          )
       );
   
       // Display info for each detected person
       print 'People: Image position and estimated age' . PHP_EOL;
       for ($n=0;$n<sizeof($result['FaceDetails']); $n++){
   
         print 'Position: ' . $result['FaceDetails'][$n]['BoundingBox']['Left'] . " "
         . $result['FaceDetails'][$n]['BoundingBox']['Top']
         . PHP_EOL
         . 'Age (low): '.$result['FaceDetails'][$n]['AgeRange']['Low']
         .  PHP_EOL
         . 'Age (high): ' . $result['FaceDetails'][$n]['AgeRange']['High']
         .  PHP_EOL . PHP_EOL;
       }
   ?>

   Ruby

   Contoh ini menampilkan daftar label yang terdeteksi pada citra input. Ubah nilai photo ke nama jalur dan file dari file citra (format .jpg atau .png).

   #Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
   #PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)
   
       # gem 'aws-sdk-rekognition'
       require 'aws-sdk-rekognition'
       credentials = Aws::Credentials.new(
          ENV['AWS_ACCESS_KEY_ID'],
          ENV['AWS_SECRET_ACCESS_KEY']
       )
       client   = Aws::Rekognition::Client.new credentials: credentials
       photo = 'photo.jpg'
       path = File.expand_path(photo) # expand path relative to the current directory
       file = File.read(path)
       attrs = {
         image: {
           bytes: file
         },
         max_labels: 10
       }
       response = client.detect_labels attrs
       puts "Detected labels for: #{photo}"
       response.labels.each do |label|
         puts "Label:      #{label.name}"
         puts "Confidence: #{label.confidence}"
         puts "Instances:"
         label['instances'].each do |instance|
           box = instance['bounding_box']
           puts "  Bounding box:"
           puts "    Top:        #{box.top}"
           puts "    Left:       #{box.left}"
           puts "    Width:      #{box.width}"
           puts "    Height:     #{box.height}"
           puts "  Confidence: #{instance.confidence}"
         end
         puts "Parents:"
         label.parents.each do |parent|
           puts "  #{parent.name}"
         end
         puts "------------"
         puts ""
       end

   Java V2

   Kode ini diambil dari GitHub repositori contoh SDK AWS Dokumentasi. Lihat contoh lengkapnya di sini.

   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.Image;
   import software.amazon.awssdk.services.rekognition.model.DetectLabelsRequest;
   import software.amazon.awssdk.services.rekognition.model.DetectLabelsResponse;
   import software.amazon.awssdk.services.rekognition.model.Label;
   import software.amazon.awssdk.services.rekognition.model.RekognitionException;
   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 DetectLabels {
       public static void main(String[] args) {
           final String usage = """
   
                   Usage:    <sourceImage>
   
                   Where:
                      sourceImage - The path to the image (for example, C:\\AWS\\pic1.png).\s
                   """;
   
           if (args.length != 1) {
               System.out.println(usage);
               System.exit(1);
           }
   
           String sourceImage = args[0];
           Region region = Region.US_EAST_1;
           RekognitionClient rekClient = RekognitionClient.builder()
                   .region(region)
                   .build();
   
           detectImageLabels(rekClient, sourceImage);
           rekClient.close();
       }
   
       public static void detectImageLabels(RekognitionClient rekClient, String sourceImage) {
           try {
               InputStream sourceStream = new FileInputStream(sourceImage);
               SdkBytes sourceBytes = SdkBytes.fromInputStream(sourceStream);
   
               // Create an Image object for the source image.
               Image souImage = Image.builder()
                       .bytes(sourceBytes)
                       .build();
   
               DetectLabelsRequest detectLabelsRequest = DetectLabelsRequest.builder()
                       .image(souImage)
                       .maxLabels(10)
                       .build();
   
               DetectLabelsResponse labelsResponse = rekClient.detectLabels(detectLabelsRequest);
               List<Label> labels = labelsResponse.labels();
               System.out.println("Detected labels for the given photo");
               for (Label label : labels) {
                   System.out.println(label.name() + ": " + label.confidence().toString());
               }
   
           } catch (RekognitionException | FileNotFoundException e) {
               System.out.println(e.getMessage());
               System.exit(1);
           }
       }
   }
   

   anchoranchoranchoranchoranchoranchor
   • Java
   • Python
   • .NET
   • PHP
   • Ruby
   • Java V2

   Contoh Java berikut menunjukkan cara memuat citra dari sistem file lokal dan mendeteksi label dengan menggunakan operasi AWS SDK detectLabels. Ubah nilai photo ke nama jalur dan file dari file citra (format .jpg atau .png).

   //Copyright 2018 Amazon.com, Inc. or its affiliates. All Rights Reserved.
   //PDX-License-Identifier: MIT-0 (For details, see https://github.com/awsdocs/amazon-rekognition-developer-guide/blob/master/LICENSE-SAMPLECODE.)
   
   package aws.example.rekognition.image;
   import java.io.File;
   import java.io.FileInputStream;
   import java.io.InputStream;
   import java.nio.ByteBuffer;
   import java.util.List;
   import com.amazonaws.services.rekognition.AmazonRekognition;
   import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
   import com.amazonaws.AmazonClientException;
   import com.amazonaws.services.rekognition.model.AmazonRekognitionException;
   import com.amazonaws.services.rekognition.model.DetectLabelsRequest;
   import com.amazonaws.services.rekognition.model.DetectLabelsResult;
   import com.amazonaws.services.rekognition.model.Image;
   import com.amazonaws.services.rekognition.model.Label;
   import com.amazonaws.util.IOUtils;
   
   public class DetectLabelsLocalFile {
       public static void main(String[] args) throws Exception {
       	String photo="input.jpg";
   
   
           ByteBuffer imageBytes;
           try (InputStream inputStream = new FileInputStream(new File(photo))) {
               imageBytes = ByteBuffer.wrap(IOUtils.toByteArray(inputStream));
           }
   
   
           AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
   
           DetectLabelsRequest request = new DetectLabelsRequest()
                   .withImage(new Image()
                           .withBytes(imageBytes))
                   .withMaxLabels(10)
                   .withMinConfidence(77F);
   
           try {
   
               DetectLabelsResult result = rekognitionClient.detectLabels(request);
               List <Label> labels = result.getLabels();
   
               System.out.println("Detected labels for " + photo);
               for (Label label: labels) {
                  System.out.println(label.getName() + ": " + label.getConfidence().toString());
               }
   
           } catch (AmazonRekognitionException e) {
               e.printStackTrace();
           }
   
       }
   }