I am refactoring my codebase so that I can use MLImage for all the models that I am using (MLKit PoseDetection and a custom detection model TFLite). This was a success, however, I noticed that Google just introduced MlImageAdapter that basically converts an MLimage to TensorImage as the Tflite model requires the image in TensorImage format.
A code snippet from one of their latest commits is below:
public List<Detection> detect(MlImage image, ImageProcessingOptions options) {
    image.getInternal().acquire();
    TensorImage tensorImage = MlImageAdapter.createTensorImageFrom(image);
    List<Detection> result = detect(tensorImage, options);
    image.close();
    return result;
  }

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But as I try to use MlImageAdapter  in my code base, it is unable to import it. And the dependencies in their BUILD file is puzzling for me and so I cannot add relevant dependencies in gradle file.
The link is below:
  

      github.com/tensorflow/tflite-support
  

  
    
  
    
  

  
    
      Make OSS Task library support ODML image.
    

    
      
        committed 
        
          
        
        Jul 13, 2021
      
      

      
        
          
          xunkai55
        
      

      
        
          +134
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PiperOrigin-RevId: 384370940
  

  

  
    
    
  

  


Any help would be awesome. Thanks!!!