本文整理汇总了Java中com.amazonaws.services.rekognition.model.Label类的典型用法代码示例。如果您正苦于以下问题:Java Label类的具体用法?Java Label怎么用?Java Label使用的例子?那么, 这里精选的类代码示例或许可以为您提供帮助。
Label类属于com.amazonaws.services.rekognition.model包,在下文中一共展示了Label类的11个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: processTask
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
private void processTask(Message message) {
String path = message.getBody();
PathSplit pathComp = new PathSplit(path);
String bucket = pathComp.bucket;
String key = pathComp.key;
Logger.Info("Processing %s %s", bucket, key);
// Rekognition: Detect Labels from S3 object
DetectLabelsRequest req = new DetectLabelsRequest()
.withImage(new Image().withS3Object(new S3Object().withBucket(bucket).withName(key)))
.withMinConfidence(minConfidence);
DetectLabelsResult result;
result = rek.detectLabels(req);
List<Label> labels = result.getLabels();
Logger.Debug("In %s, found: %s", key, labels);
// Process downstream actions:
for (LabelProcessor processor : processors) {
processor.process(labels, path);
}
}
示例2: handleRequest
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
@Override
public Parameters handleRequest(Parameters parameters, Context context) {
context.getLogger().log("Input Function [" + context.getFunctionName() +
"], Parameters [" + parameters + "]");
// Create Rekognition client using the parameters available form the runtime context
AmazonRekognition rekognitionClient =
AmazonRekognitionClientBuilder.defaultClient();
// Create a Rekognition request
DetectLabelsRequest request = new DetectLabelsRequest().withImage(new Image()
.withS3Object(new S3Object().withName(parameters.getS3key())
.withBucket(parameters.getS3Bucket())));
// Call the Rekognition Service
DetectLabelsResult result = rekognitionClient.detectLabels(request);
// Transfer labels and confidence scores over to Parameter POJO
for (Label label : result.getLabels()) {
parameters.getRekognitionLabels().put(label.getName(), label.getConfidence());
}
context.getLogger().log("Output Function [" + context.getFunctionName() +
"], Parameters [" + parameters + "]");
// Return the result (will be serialised to JSON)
return parameters;
}
示例3: process
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
@Override
public void process(List<Label> labels, String path) {
LabelInsertDoc doc = new LabelInsertDoc(labels, path);
Logger.Debug("Json to push: \n%s", doc.asJson());
byte[] jsonBytes = doc.asJsonBytes();
UploadDocumentsRequest pushDoc = getUploadReq(jsonBytes);
UploadDocumentsResult upRes = searchClient.uploadDocuments(pushDoc);
Logger.Debug("Indexed %s, %s", path, upRes.getStatus());
}
示例4: LabelContent
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
public LabelContent(List<Label> rekLabels, String imgPath) {
path = imgPath;
labels = new ArrayList<>(rekLabels.size());
confidence = new ArrayList<>(rekLabels.size());
for (Label label : rekLabels) {
labels.add(label.getName());
confidence.add(label.getConfidence().intValue()); // decimal precision not required
}
}
示例5: process
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
@Override
public void process(List<Label> labels, String imgPath) {
String id = idHash.hashString(imgPath, charset).toString();
Item item = new Item()
.withPrimaryKey("id", id)
.withString("path", imgPath)
.withList("labels", labels.stream().map(DynamoWriter::labelToFields).collect(Collectors.toList()));
table.putItem(item);
}
示例6: process
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
@Override
public void process(List<Label> labels, String path) {
Processor.PathSplit components = new Processor.PathSplit(path);
String bucket = components.bucket;
String key = components.key;
// fetch the current set
GetObjectTaggingResult tagging = s3.getObjectTagging(new GetObjectTaggingRequest(bucket, key));
List<Tag> origTags = tagging.getTagSet();
List<Tag> updateTags = new ArrayList<>();
// copy the existing tags, but drop the ones matched by prefix (∴ leaves non-Rekognition label tags alone)
for (Tag tag : origTags) {
if (!tag.getKey().startsWith(tagPrefix))
updateTags.add(tag);
}
// add the new ones
for (Label label : labels) {
if (updateTags.size() < maxTags)
updateTags.add(new Tag(tagPrefix + label.getName(), label.getConfidence().toString()));
else
break;
}
// save it back
s3.setObjectTagging(new SetObjectTaggingRequest(bucket, key, new ObjectTagging(updateTags)));
}
示例7: getLabels
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
/**
* returns label from file
*
* @param filename
* @return
* @throws FileNotFoundException
* @throws IOException
* @throws URISyntaxException
*/
public List<Label> getLabels(String path) throws FileNotFoundException, IOException, URISyntaxException {
if (path == null) {
return getLabels();
}
InputStream inputStream = null;
if (path.contains("://")) {
inputStream = new URL(path).openStream();
} else {
inputStream = new FileInputStream(path);
}
return getLabels(inputStream);
}
示例8: main
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
public static void main(String[] args) throws Exception {
Rekognition recog = (Rekognition) Runtime.start("recog", "Rekognition");
/*
* OpenCV opencv = (OpenCV) Runtime.start("opencv", "OpenCV");
* opencv.capture();
*
* sleep(1000); String photo = opencv.recordSingleFrame();
*
*
* System.out.println("Detected labels for " + photo);
*/
// set your credentials once - then comment out this line and remove the
// sensitive info
// the credentials will be saved to .myrobotlab/store
// recog.setCredentials("XXXXXXXXXXXXXXXX",
// "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX");
recog.loadCredentials();
List<Label> labels = null;
// labels = recog.getLabels("opencv.input.48.jpg");
labels = recog.getLabels("http://animals.sandiegozoo.org/sites/default/files/2016-08/hero_zebra_animals.jpg");
for (Label label : labels) {
System.out.println(label.getName() + ": " + label.getConfidence().toString());
}
}
示例9: LabelInsertDoc
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
public LabelInsertDoc(List<Label> labels, String imgPath) {
id = idHash.hashString(imgPath, charset).toString();
fields = new LabelContent(labels, imgPath);
}
示例10: labelToFields
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
private static Map<String, Object> labelToFields(Label label) {
HashMap<String, Object> map = new HashMap<>();
map.put("name", label.getName());
map.put("confidence", label.getConfidence());
return map;
}
示例11: process
import com.amazonaws.services.rekognition.model.Label; //导入依赖的package包/类
public void process(List<Label>labels, String path);