Amazon web services 无法识别使用Amazon Rekognition AWS Java SDK的用户
大家好 我正试图在一张图像上运行人脸检测，这张图像是基于从少数人的肖像图像创建的集合。所采用的方法如下：Amazon web services 无法识别使用Amazon Rekognition AWS Java SDK的用户,amazon-web-services,amazon-rekognition,Amazon Web Services,Amazon Rekognition,大家好 我正试图在一张图像上运行人脸检测，这张图像是基于从少数人的肖像图像创建的集合。所采用的方法如下： 创建集合名称“数据库” 索引各个图片中的面，并将其存储在集合“数据库”中 在目标图像上运行索引面，并将所有面存储在单独的集合“toBeDetected”中 使用SearchFaces API调用根据数据库集合识别目标图像中的所有面 然而，当我尝试这样做时，我得到了无效的参数异常。我对这一点非常陌生，并试图找到解决问题的办法，但我还没有找到任何办法。请帮忙。我已附上代码如下 public cl
public class FRInvoker {
public static final String COLLECTION_ID_DATABASE = "collectionDatabase";
// public static final String COLLECTION_ID_TARGET = "toBeDetected";
public static Map<String, String> names = new HashMap<>();
private static AmazonRekognition amazonRekognition;
//Configure Credentials
public FRInvoker() {
AWSCredentials credentials;
try {
credentials = new BasicAWSCredentials("XXXXXXXXXXXXXXXXXXXXX", "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX");
} catch (Exception e) {
throw new AmazonClientException("Cannot load the credentials from the credential profiles file. "
+ "Please make sure that your credentials file is at the correct "
+ "location (/Users/userid/.aws/credentials), and is in a valid format.", e);
}
amazonRekognition = AmazonRekognitionClientBuilder.standard().withRegion(Regions.US_WEST_2)
.withCredentials(new AWSStaticCredentialsProvider(credentials)).build();
}
public static void main(String[] args) {
FRInvoker invoker = new FRInvoker();
invoker.invokeSystem();
}
private void invokeSystem(){
AddFacesToRekognitionCollection faceRecognition = new AddFacesToRekognitionCollection(amazonRekognition);
faceRecognition.addFacesToRecognition(amazonRekognition);
DetectMultipleFaceHelper detectMultipleFaceHelper = new DetectMultipleFaceHelper();
detectMultipleFaceHelper.detectAllPossibleFaces(amazonRekognition);
MatchAllFacesInCollection matchFacesInCollection = new MatchAllFacesInCollection();
matchFacesInCollection.matchAllFacesInTargetCollection(amazonRekognition);
}
}
public class DetectMultipleFaceHelper {
public void detectAllPossibleFaces(AmazonRekognition amazonRekognition) {
RekognitionCollectionCreateHelper collectionCreaterHelper = new RekognitionCollectionCreateHelper();
collectionCreaterHelper.createCollections(amazonRekognition, FRInvoker.COLLECTION_ID_TARGET);
IndexFacesRequest request = new IndexFacesRequest().withCollectionId(FRInvoker.COLLECTION_ID_TARGET)
.withImage(new Image().withBytes(AddFacesToRekognitionCollection.getImageBytes(new File(System.getProperty("user.dir") + "/ImageToRekognize/target.jpg"))));
amazonRekognition.indexFaces(request);
}
请帮忙。谢谢大家! 我也遇到了同样的问题，我的解决方案是将目标图像中的索引面添加到与源面相同的集合中 算法：
public AddFacesToRekognitionCollection(AmazonRekognition amazonRekognition) {
RekognitionCollectionCreateHelper newCollectionCreator = new
RekognitionCollectionCreateHelper();
// newCollectionCreator.deleteAllAwsCollections(amazonRekognition);
newCollectionCreator.createCollections(amazonRekognition, FRInvoker.COLLECTION_ID_DATABASE);
}
public void addFacesToRecognition(AmazonRekognition amazonRekognition) {
File[] files = getAllImageFiles();
for (int i = 0; i < files.length; i++) {
Image image = new
Image().withBytes(AddFacesToRekognitionCollection.getImageBytes(files[i]));
String externalImageId = files[i].getName();
IndexFacesResult indexFacesResult = callIndexFaces(FRInvoker.COLLECTION_ID_DATABASE, externalImageId, "ALL", image,
amazonRekognition);
List<FaceRecord> faceRecords = indexFacesResult.getFaceRecords();
for (FaceRecord faceRecord : faceRecords) {
System.out.println("Image name: " + files[i].getName() + " ::::::::: Faceid is " + faceRecord.getFace().getFaceId());
FRInvoker.names.put(faceRecord.getFace().getFaceId(), files[i].getName());
}
}
}
//Private Helper Methods
public static ByteBuffer getImageBytes(File file) {
ByteBuffer imageBytes = null;
try (InputStream inputStream = new FileInputStream(file)) {
imageBytes = ByteBuffer.wrap(IOUtils.toByteArray(inputStream));
} catch (IOException e) {
e.printStackTrace();
}
return imageBytes;
}
private IndexFacesResult callIndexFaces(String collectionId, String externalImageId, String attributes, Image image,
AmazonRekognition amazonRekognition) {
IndexFacesRequest indexFacesRequest = new IndexFacesRequest().withImage(image).withCollectionId(collectionId);
return amazonRekognition.indexFaces(indexFacesRequest);
}
public static File[] getAllImageFiles() {
File dir = new File(System.getProperty("user.dir") + "/imageDatabase/");
System.out.println(dir.getAbsolutePath());
File[] files = dir.listFiles(new FilenameFilter() {
public boolean accept(File dir, String name) {
return name.toLowerCase().endsWith(".jpg") || name.toLowerCase().endsWith(".png");
}
});
return files;
}
//Private Helper Methods
}
public class MatchAllFacesInCollection {
public void matchAllFacesInTargetCollection(AmazonRekognition amazonRekognition) {
ListFacesRequest request = new ListFacesRequest().withCollectionId(FRInvoker.COLLECTION_ID_TARGET)
.withMaxResults(50);
ListFacesResult response = amazonRekognition.listFaces(request);
for (Face face : response.getFaces()) {
SearchFacesRequest searchFaceRequest = new SearchFacesRequest()
.withCollectionId(FRInvoker.COLLECTION_ID_DATABASE).withFaceId(face.getFaceId())
.withMaxFaces(1).withFaceMatchThreshold(90f);
SearchFacesResult searchFaceResponse = null;
try{
searchFaceResponse = amazonRekognition.searchFaces(searchFaceRequest);
System.out.println(searchFaceResponse.getFaceMatches().get(0).getFace().getFaceId() + " matches best with Highest Matching rate of" +
searchFaceResponse.getFaceMatches().get(0).getSimilarity());
}catch(com.amazonaws.services.rekognition.model.InvalidParameterException e){
e.printStackTrace();
System.out.println("Face Not Found :::::: " + face.getFaceId());
}
}
}
}
public class DetectMultipleFaceHelper {
public void detectAllPossibleFaces(AmazonRekognition amazonRekognition) {
RekognitionCollectionCreateHelper collectionCreaterHelper = new RekognitionCollectionCreateHelper();
collectionCreaterHelper.createCollections(amazonRekognition, FRInvoker.COLLECTION_ID_TARGET);
IndexFacesRequest request = new IndexFacesRequest().withCollectionId(FRInvoker.COLLECTION_ID_TARGET)
.withImage(new Image().withBytes(AddFacesToRekognitionCollection.getImageBytes(new File(System.getProperty("user.dir") + "/ImageToRekognize/target.jpg"))));
amazonRekognition.indexFaces(request);
}