偵測映像中的個人防護裝備

焦點模式

偵測映像中的個人防護裝備 - Amazon Rekognition

若要偵測映像中人員的個人防護裝備 (PPE)，請使用 DetectProtectiveEquipment 的非儲存 API 作業。

您可以使用 AWS SDK 或 AWS Command Line Interface (AWS CLI)，以映像位元組陣列 (Base64 編碼映像位元組) 或 Amazon S3 物件的方式提供輸入映像。這些範例使用存放在 Amazon S3 儲存貯體中的映像。如需詳細資訊，請參閱使用映像。

若要偵測映像中人物身上的個人防護裝備

如果您尚未執行：
1. 建立或更新具有 AmazonRekognitionFullAccess 和 AmazonS3ReadOnlyAccess 許可的使用者。如需詳細資訊，請參閱步驟 1：設定 AWS 帳戶並建立使用者。
2. 安裝和設定 AWS CLI 和 AWS SDKs。如需詳細資訊，請參閱步驟 2：設定 AWS CLI 和 SDK AWS SDKs。
將 (含有一或多個配備個人防護裝備的人員) 的映像上傳至您的 S3 儲存貯體。

如需指示說明，請參閱《Amazon Simple Storage Service 使用者指南》中的上傳物件至 Amazon S3。

使用下列範例來呼叫 DetectProtectiveEquipment 操作。如需有關在映像中顯示邊界邊框的資訊，請參閱顯示週框方塊。

Java

此範例顯示在映像中偵測到的人員身上偵測到的個人防護裝備專案的相關資訊。

將 amzn-s3-demo-bucket 的值變更為包含映像檔案的 Amazon S3 儲存貯體名稱。變更映像檔案名稱的 photo 值。


//Copyright 2020 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 com.amazonaws.samples;
import com.amazonaws.client.builder.AwsClientBuilder;
import com.amazonaws.services.rekognition.AmazonRekognition;
import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
import com.amazonaws.services.rekognition.model.AmazonRekognitionException;
import com.amazonaws.services.rekognition.model.Image;
import com.amazonaws.services.rekognition.model.ProtectiveEquipmentBodyPart;
import com.amazonaws.services.rekognition.model.S3Object;
import com.amazonaws.services.rekognition.model.ProtectiveEquipmentPerson;
import com.amazonaws.services.rekognition.model.ProtectiveEquipmentSummarizationAttributes;

import java.util.List;
import com.amazonaws.services.rekognition.model.BoundingBox;
import com.amazonaws.services.rekognition.model.DetectProtectiveEquipmentRequest;
import com.amazonaws.services.rekognition.model.DetectProtectiveEquipmentResult;
import com.amazonaws.services.rekognition.model.EquipmentDetection;


public class DetectPPE {

    public static void main(String[] args) throws Exception {

        String photo = "photo";
        String bucket = "bucket";


        AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
        
        ProtectiveEquipmentSummarizationAttributes summaryAttributes = new ProtectiveEquipmentSummarizationAttributes()
                .withMinConfidence(80F)
                .withRequiredEquipmentTypes("FACE_COVER", "HAND_COVER", "HEAD_COVER");
                
        DetectProtectiveEquipmentRequest request = new DetectProtectiveEquipmentRequest()
                .withImage(new Image()
                        .withS3Object(new S3Object()
                                .withName(photo).withBucket(bucket)))
                .withSummarizationAttributes(summaryAttributes);

        try {
            System.out.println("Detected PPE for people in image " + photo);
            System.out.println("Detected people\n---------------");
            DetectProtectiveEquipmentResult result = rekognitionClient.detectProtectiveEquipment(request);


            List <ProtectiveEquipmentPerson> persons = result.getPersons();


            for (ProtectiveEquipmentPerson person: persons) {
                System.out.println("ID: " + person.getId());
                List<ProtectiveEquipmentBodyPart> bodyParts=person.getBodyParts();
                if (bodyParts.isEmpty()){
                    System.out.println("\tNo body parts detected");
                } else
                    for (ProtectiveEquipmentBodyPart bodyPart: bodyParts) {
                        System.out.println("\t" + bodyPart.getName() + ". Confidence: " + bodyPart.getConfidence().toString());



                        List<EquipmentDetection> equipmentDetections=bodyPart.getEquipmentDetections();

                        if (equipmentDetections.isEmpty()){
                            System.out.println("\t\tNo PPE Detected on " + bodyPart.getName());

                        } 
                        else {
                            for (EquipmentDetection item: equipmentDetections) {
                                System.out.println("\t\tItem: " + item.getType() + ". Confidence: " + item.getConfidence().toString());
                                System.out.println("\t\tCovers body part: " 
                                        + item.getCoversBodyPart().getValue().toString() + ". Confidence: " + item.getCoversBodyPart().getConfidence().toString());

                                System.out.println("\t\tBounding Box");
                                BoundingBox box =item.getBoundingBox();

                                System.out.println("\t\tLeft: " +box.getLeft().toString());
                                System.out.println("\t\tTop: " + box.getTop().toString());
                                System.out.println("\t\tWidth: " + box.getWidth().toString());
                                System.out.println("\t\tHeight: " + box.getHeight().toString());
                                System.out.println("\t\tConfidence: " + item.getConfidence().toString());
                                System.out.println();
                            }
                        }

                    }
            }
            System.out.println("Person ID Summary\n-----------------");
            
            //List<Integer> list=;
            DisplaySummary("With required equipment", result.getSummary().getPersonsWithRequiredEquipment());
            DisplaySummary("Without required equipment", result.getSummary().getPersonsWithoutRequiredEquipment());
            DisplaySummary("Indeterminate", result.getSummary().getPersonsIndeterminate());         
       
            
        } catch(AmazonRekognitionException e) {
            e.printStackTrace();
        }
    }
    static void DisplaySummary(String summaryType,List<Integer> idList)
    {
        System.out.print(summaryType + "\n\tIDs  ");
        if (idList.size()==0) {
            System.out.println("None");
        }
        else {
            int count=0;
            for (Integer id: idList ) { 
                if (count++ == idList.size()-1) {
                    System.out.println(id.toString());
                }
                else {
                    System.out.print(id.toString() + ", ");
                }
            }
        }
                    
        System.out.println();
        
    
    }
}

Java V2

此程式碼取自 AWS 文件開發套件範例 GitHub 儲存庫。請參閱此處的完整範例。


//snippet-start:[rekognition.java2.detect_ppe.import]
import software.amazon.awssdk.auth.credentials.ProfileCredentialsProvider;
import software.amazon.awssdk.core.ResponseBytes;
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.BoundingBox;
import software.amazon.awssdk.services.rekognition.model.DetectProtectiveEquipmentRequest;
import software.amazon.awssdk.services.rekognition.model.DetectProtectiveEquipmentResponse;
import software.amazon.awssdk.services.rekognition.model.EquipmentDetection;
import software.amazon.awssdk.services.rekognition.model.ProtectiveEquipmentBodyPart;
import software.amazon.awssdk.services.rekognition.model.ProtectiveEquipmentSummarizationAttributes;
import software.amazon.awssdk.services.rekognition.model.Image;
import software.amazon.awssdk.services.rekognition.model.RekognitionException;
import software.amazon.awssdk.services.s3.S3Client;
import software.amazon.awssdk.services.s3.model.GetObjectRequest;
import software.amazon.awssdk.services.s3.model.GetObjectResponse;
import software.amazon.awssdk.services.s3.model.S3Exception;
import software.amazon.awssdk.services.rekognition.model.ProtectiveEquipmentPerson;
import java.io.ByteArrayInputStream;
import java.io.InputStream;
import java.util.List;
//snippet-end:[rekognition.java2.detect_ppe.import]

/**
* 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 DetectPPE {

 public static void main(String[] args) {

     final String usage = "\n" +
         "Usage: " +
         "   <sourceImage> <bucketName>\n\n" +
         "Where:\n" +
         "   sourceImage - The name of the image in an Amazon S3 bucket (for example, people.png). \n\n" +
         "   bucketName - The name of the Amazon S3 bucket (for example, amzn-s3-demo-bucket). \n\n";

     if (args.length != 2) {
          System.out.println(usage);
          System.exit(1);
     }

     String sourceImage = args[0];
     String bucketName = args[1];
     Region region = Region.US_WEST_2;
     S3Client s3 = S3Client.builder()
         .region(region)
         .credentialsProvider(ProfileCredentialsProvider.create("profile-name"))
         .build();

     RekognitionClient rekClient = RekognitionClient.builder()
         .region(region)
         .credentialsProvider(ProfileCredentialsProvider.create("profile-name"))
         .build();

     displayGear(s3, rekClient, sourceImage, bucketName) ;
     s3.close();
     rekClient.close();
     System.out.println("This example is done!");
 }

 // snippet-start:[rekognition.java2.detect_ppe.main]
 public static void displayGear(S3Client s3,
                                RekognitionClient rekClient,
                                String sourceImage,
                                String bucketName) {

     byte[] data = getObjectBytes (s3, bucketName, sourceImage);
     InputStream is = new ByteArrayInputStream(data);

     try {
         ProtectiveEquipmentSummarizationAttributes summarizationAttributes = ProtectiveEquipmentSummarizationAttributes.builder()
             .minConfidence(80F)
             .requiredEquipmentTypesWithStrings("FACE_COVER", "HAND_COVER", "HEAD_COVER")
             .build();

         SdkBytes sourceBytes = SdkBytes.fromInputStream(is);
         software.amazon.awssdk.services.rekognition.model.Image souImage = Image.builder()
             .bytes(sourceBytes)
             .build();

         DetectProtectiveEquipmentRequest request = DetectProtectiveEquipmentRequest.builder()
             .image(souImage)
             .summarizationAttributes(summarizationAttributes)
             .build();

         DetectProtectiveEquipmentResponse result = rekClient.detectProtectiveEquipment(request);
         List<ProtectiveEquipmentPerson> persons = result.persons();
         for (ProtectiveEquipmentPerson person: persons) {
             System.out.println("ID: " + person.id());
             List<ProtectiveEquipmentBodyPart> bodyParts=person.bodyParts();
             if (bodyParts.isEmpty()){
                 System.out.println("\tNo body parts detected");
             } else
                 for (ProtectiveEquipmentBodyPart bodyPart: bodyParts) {
                     System.out.println("\t" + bodyPart.name() + ". Confidence: " + bodyPart.confidence().toString());
                     List<EquipmentDetection> equipmentDetections=bodyPart.equipmentDetections();

                     if (equipmentDetections.isEmpty()){
                         System.out.println("\t\tNo PPE Detected on " + bodyPart.name());
                     } else {
                         for (EquipmentDetection item: equipmentDetections) {
                             System.out.println("\t\tItem: " + item.type() + ". Confidence: " + item.confidence().toString());
                             System.out.println("\t\tCovers body part: "
                                     + item.coversBodyPart().value().toString() + ". Confidence: " + item.coversBodyPart().confidence().toString());

                             System.out.println("\t\tBounding Box");
                             BoundingBox box =item.boundingBox();
                             System.out.println("\t\tLeft: " +box.left().toString());
                             System.out.println("\t\tTop: " + box.top().toString());
                             System.out.println("\t\tWidth: " + box.width().toString());
                             System.out.println("\t\tHeight: " + box.height().toString());
                             System.out.println("\t\tConfidence: " + item.confidence().toString());
                             System.out.println();
                         }
                     }
                 }
         }
         System.out.println("Person ID Summary\n-----------------");

         displaySummary("With required equipment", result.summary().personsWithRequiredEquipment());
         displaySummary("Without required equipment", result.summary().personsWithoutRequiredEquipment());
         displaySummary("Indeterminate", result.summary().personsIndeterminate());

     } catch (RekognitionException e) {
         e.printStackTrace();
         System.exit(1);
     }
 }

 public static byte[] getObjectBytes (S3Client s3, String bucketName, String keyName) {

     try {
         GetObjectRequest objectRequest = GetObjectRequest
             .builder()
             .key(keyName)
             .bucket(bucketName)
             .build();

         ResponseBytes<GetObjectResponse> objectBytes = s3.getObjectAsBytes(objectRequest);
         return objectBytes.asByteArray();

     } catch (S3Exception e) {
         System.err.println(e.awsErrorDetails().errorMessage());
         System.exit(1);
     }
     return null;
 }

 static void displaySummary(String summaryType,List<Integer> idList) {
     System.out.print(summaryType + "\n\tIDs  ");
     if (idList.size()==0) {
         System.out.println("None");
     } else {
         int count=0;
         for (Integer id: idList ) {
             if (count++ == idList.size()-1) {
                 System.out.println(id.toString());
             } else {
                 System.out.print(id.toString() + ", ");
             }
         }
     }
     System.out.println();
 }
 // snippet-end:[rekognition.java2.detect_ppe.main]
}

AWS CLI

此 AWS CLI 命令會請求 PPE 摘要，並顯示 CLI 操作的 JSON detect-protective-equipment 輸出。

將 amzn-s3-demo-bucket 變更為 Amazon S3 儲存貯體的名稱，其中包含映像。將 input.jpg 變更為您要使用的映像名稱。


aws rekognition detect-protective-equipment \
  --image "S3Object={Bucket=amzn-s3-demo-bucket,Name=input.jpg}" \
  --summarization-attributes "MinConfidence=80,RequiredEquipmentTypes=['FACE_COVER','HAND_COVER','HEAD_COVER']"

此 AWS CLI 命令會顯示 CLI detect-protective-equipment 操作的 JSON 輸出。

將 amzn-s3-demo-bucket 變更為 Amazon S3 儲存貯體的名稱，其中包含映像。將 input.jpg 變更為您要使用的映像名稱。


aws rekognition detect-protective-equipment \
  --image "S3Object={Bucket=amzn-s3-demo-bucket,Name=input.jpg}"

Python

此範例顯示在映像中偵測到的人員身上偵測到的個人防護裝備專案的相關資訊。

將 amzn-s3-demo-bucket 的值變更為包含映像檔案的 Amazon S3 儲存貯體名稱。變更映像檔案名稱的 photo 值。將建立 Rekognition 工作階段的行中 profile_name 值取代為您開發人員設定檔的名稱。


# Copyright 2020 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_ppe(photo, bucket):

    session = boto3.Session(profile_name='profile-name')
    client = session.client('rekognition')

    response = client.detect_protective_equipment(Image={'S3Object': {'Bucket': bucket, 'Name': photo}},
                                                  SummarizationAttributes={'MinConfidence': 80,
                                                                           'RequiredEquipmentTypes': ['FACE_COVER',
                                                                                                      'HAND_COVER',
                                                                                                      'HEAD_COVER']})

    print('Detected PPE for people in image ' + photo)
    print('\nDetected people\n---------------')
    for person in response['Persons']:

        print('Person ID: ' + str(person['Id']))
        print('Body Parts\n----------')
        body_parts = person['BodyParts']
        if len(body_parts) == 0:
            print('No body parts found')
        else:
            for body_part in body_parts:
                print('\t' + body_part['Name'] + '\n\t\tConfidence: ' + str(body_part['Confidence']))
                print('\n\t\tDetected PPE\n\t\t------------')
                ppe_items = body_part['EquipmentDetections']
                if len(ppe_items) == 0:
                    print('\t\tNo PPE detected on ' + body_part['Name'])
                else:
                    for ppe_item in ppe_items:
                        print('\t\t' + ppe_item['Type'] + '\n\t\t\tConfidence: ' + str(ppe_item['Confidence']))
                        print('\t\tCovers body part: ' + str(
                            ppe_item['CoversBodyPart']['Value']) + '\n\t\t\tConfidence: ' + str(
                            ppe_item['CoversBodyPart']['Confidence']))
                        print('\t\tBounding Box:')
                        print('\t\t\tTop: ' + str(ppe_item['BoundingBox']['Top']))
                        print('\t\t\tLeft: ' + str(ppe_item['BoundingBox']['Left']))
                        print('\t\t\tWidth: ' + str(ppe_item['BoundingBox']['Width']))
                        print('\t\t\tHeight: ' + str(ppe_item['BoundingBox']['Height']))
                        print('\t\t\tConfidence: ' + str(ppe_item['Confidence']))
            print()
        print()

    print('Person ID Summary\n----------------')
    display_summary('With required equipment', response['Summary']['PersonsWithRequiredEquipment'])
    display_summary('Without required equipment', response['Summary']['PersonsWithoutRequiredEquipment'])
    display_summary('Indeterminate', response['Summary']['PersonsIndeterminate'])

    print()
    return len(response['Persons'])

# Display summary information for supplied summary.
def display_summary(summary_type, summary):
    print(summary_type + '\n\tIDs: ', end='')
    if (len(summary) == 0):
        print('None')
    else:
        for num, id in enumerate(summary, start=0):
            if num == len(summary) - 1:
                print(id)
            else:
                print(str(id) + ', ', end='')

def main():
    photo = 'photo-name'
    bucket = 'amzn-s3-demo-bucket'
    person_count = detect_ppe(photo, bucket)
    print("Persons detected: " + str(person_count))

if __name__ == "__main__":
    main()

anchor anchor anchor anchor

此範例顯示在映像中偵測到的人員身上偵測到的個人防護裝備專案的相關資訊。

將 amzn-s3-demo-bucket 的值變更為包含映像檔案的 Amazon S3 儲存貯體名稱。變更映像檔案名稱的 photo 值。


//Copyright 2020 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 com.amazonaws.samples;
import com.amazonaws.client.builder.AwsClientBuilder;
import com.amazonaws.services.rekognition.AmazonRekognition;
import com.amazonaws.services.rekognition.AmazonRekognitionClientBuilder;
import com.amazonaws.services.rekognition.model.AmazonRekognitionException;
import com.amazonaws.services.rekognition.model.Image;
import com.amazonaws.services.rekognition.model.ProtectiveEquipmentBodyPart;
import com.amazonaws.services.rekognition.model.S3Object;
import com.amazonaws.services.rekognition.model.ProtectiveEquipmentPerson;
import com.amazonaws.services.rekognition.model.ProtectiveEquipmentSummarizationAttributes;

import java.util.List;
import com.amazonaws.services.rekognition.model.BoundingBox;
import com.amazonaws.services.rekognition.model.DetectProtectiveEquipmentRequest;
import com.amazonaws.services.rekognition.model.DetectProtectiveEquipmentResult;
import com.amazonaws.services.rekognition.model.EquipmentDetection;


public class DetectPPE {

    public static void main(String[] args) throws Exception {

        String photo = "photo";
        String bucket = "bucket";


        AmazonRekognition rekognitionClient = AmazonRekognitionClientBuilder.defaultClient();
        
        ProtectiveEquipmentSummarizationAttributes summaryAttributes = new ProtectiveEquipmentSummarizationAttributes()
                .withMinConfidence(80F)
                .withRequiredEquipmentTypes("FACE_COVER", "HAND_COVER", "HEAD_COVER");
                
        DetectProtectiveEquipmentRequest request = new DetectProtectiveEquipmentRequest()
                .withImage(new Image()
                        .withS3Object(new S3Object()
                                .withName(photo).withBucket(bucket)))
                .withSummarizationAttributes(summaryAttributes);

        try {
            System.out.println("Detected PPE for people in image " + photo);
            System.out.println("Detected people\n---------------");
            DetectProtectiveEquipmentResult result = rekognitionClient.detectProtectiveEquipment(request);


            List <ProtectiveEquipmentPerson> persons = result.getPersons();


            for (ProtectiveEquipmentPerson person: persons) {
                System.out.println("ID: " + person.getId());
                List<ProtectiveEquipmentBodyPart> bodyParts=person.getBodyParts();
                if (bodyParts.isEmpty()){
                    System.out.println("\tNo body parts detected");
                } else
                    for (ProtectiveEquipmentBodyPart bodyPart: bodyParts) {
                        System.out.println("\t" + bodyPart.getName() + ". Confidence: " + bodyPart.getConfidence().toString());



                        List<EquipmentDetection> equipmentDetections=bodyPart.getEquipmentDetections();

                        if (equipmentDetections.isEmpty()){
                            System.out.println("\t\tNo PPE Detected on " + bodyPart.getName());

                        } 
                        else {
                            for (EquipmentDetection item: equipmentDetections) {
                                System.out.println("\t\tItem: " + item.getType() + ". Confidence: " + item.getConfidence().toString());
                                System.out.println("\t\tCovers body part: " 
                                        + item.getCoversBodyPart().getValue().toString() + ". Confidence: " + item.getCoversBodyPart().getConfidence().toString());

                                System.out.println("\t\tBounding Box");
                                BoundingBox box =item.getBoundingBox();

                                System.out.println("\t\tLeft: " +box.getLeft().toString());
                                System.out.println("\t\tTop: " + box.getTop().toString());
                                System.out.println("\t\tWidth: " + box.getWidth().toString());
                                System.out.println("\t\tHeight: " + box.getHeight().toString());
                                System.out.println("\t\tConfidence: " + item.getConfidence().toString());
                                System.out.println();
                            }
                        }

                    }
            }
            System.out.println("Person ID Summary\n-----------------");
            
            //List<Integer> list=;
            DisplaySummary("With required equipment", result.getSummary().getPersonsWithRequiredEquipment());
            DisplaySummary("Without required equipment", result.getSummary().getPersonsWithoutRequiredEquipment());
            DisplaySummary("Indeterminate", result.getSummary().getPersonsIndeterminate());         
       
            
        } catch(AmazonRekognitionException e) {
            e.printStackTrace();
        }
    }
    static void DisplaySummary(String summaryType,List<Integer> idList)
    {
        System.out.print(summaryType + "\n\tIDs  ");
        if (idList.size()==0) {
            System.out.println("None");
        }
        else {
            int count=0;
            for (Integer id: idList ) { 
                if (count++ == idList.size()-1) {
                    System.out.println(id.toString());
                }
                else {
                    System.out.print(id.toString() + ", ");
                }
            }
        }
                    
        System.out.println();
        
    
    }
}

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