Represents the landmark analyzer, which detects landmarks in a supplied image. After the cloud API is called, the detection model runs on the cloud. A landmark analyzer can be created in either of the following ways:

Method 1: Use default parameter settings.

MLRemoteLandmarkAnalyzer analyzer = MLAnalyzerFactory.getInstance().getRemoteLandmarkAnalyzer();

Method 2: Use customized parameter settings.

MLRemoteLandmarkAnalyzer analyzer = MLAnalyzerFactory.getInstance().getRemoteLandmarkAnalyzer(setting);

Sample Code

// Method 1: Use default parameter settings.
MLRemoteLandmarkAnalyzer analyzer = MLAnalyzerFactory.getInstance().getRemoteLandmarkAnalyzer();
// Method 2: Use customized parameter settings.
// setLargestNumOfReturns: Maximum number of detection results.
// setPatternType: Mode used by the analyzer.
// MLRemoteLandmarkAnalyzerSetting.STEADY_PATTERN: The value is 1, 1ndicating the stable mode.
// MLRemoteLandmarkAnalyzerSetting.NEWEST_PATTERN: The value is 2, 2ndicating the latest mode.
MLRemoteLandmarkAnalyzerSetting settings = new MLRemoteLandmarkAnalyzerSetting.Factory()
   .setLargestNumOfReturns(1)
   .setPatternType(MLRemoteLandmarkAnalyzerSetting.STEADY_PATTERN)
   .create();
MLRemoteLandmarkAnalyzer analyzer = MLAnalyzerFactory.getInstance().getRemoteLandmarkAnalyzer(settings);
// Construct MLFMLFrame using the bitmap.It is recommended that the image size be greater than or equal to 640 x 640.
MLFrame mlFrame = new MLFrame.Creator().setBitmap(bitmap).create();
// Landmark recognition.
Task<List<MLRemoteLandmark>> task = analyzer.asyncAnalyseFrame(mlFrame);
task.addOnSuccessListener(new OnSuccessListener<List<MLRemoteLandmark>>() {
   public void onSuccess(List<MLRemoteLandmark> landmarkResults) {
      // Processing logic for detection success.
   }
}).addOnFailureListener(new OnFailureListener() {
   public void onFailure(Exception e) {
      // Processing logic for detection failure.
   }
});

Public Method Summary

Return type	Method name
com.huawei.hmf.tasks.Task<List<MLRemoteLandmark>>	asyncAnalyseFrame(MLFrame frame)
void	close()throws IOException
void	stop()throws IOException
MLRemoteLandmarkAnalyzer	create(MLApplication app, MLRemoteLandmarkAnalyzerSetting setting)

Public Methods

Method

public com.huawei.hmf.tasks.Task<List<MLRemoteLandmark>> asyncAnalyseFrame(MLFrame frame)

Detects landmarks in a supplied image.

Parameters

Parameter name	Parameter desc
frame	Image object.

Return

Type	desc
com.huawei.hmf.tasks.Task<List<MLRemoteLandmark>>	Returns the asynchronous task object.

Method

public void close() throws IOException

Releases resources, including input and output streams.

Throws

Exception name	Exception desc
IOException	Exception that occurs in the input and output streams during resource release.

Method

public void stop() throws IOException

Releases resources, including input and output streams.

Throws

Exception name	Exception desc
IOException	Exception that occurs in the input and output streams during resource release.

Method

public static synchronized MLRemoteLandmarkAnalyzer create(MLApplication app, MLRemoteLandmarkAnalyzerSetting setting)

Creates a landmark analyzer object.

Parameters

Parameter name	Parameter desc
app	MLApplication instance.
setting	Instance of the landmark analysis configurator.

Return

Type	desc
MLRemoteLandmarkAnalyzer	Returns the landmark analyzer object.

MLRemoteLandmark

Overview

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