Machine Learning Projects for Mobile Applications

From ByteBuffer

Let's create this instance of a FirebaseVisionImage using a ByteBuffer. However, in order to do this, we must first create an instance of a FirebaseVisionImageMetadata. This contains the data required to construct the vision image, such as the rotation and measurements mentioned as follows:

FirebaseVisionImageMetadata metadata = new     FirebaseVisionImageMetadata.Builder()        .setWidth(1280)        .setHeight(720)        .setFormat(FirebaseVisionImageMetadata.IMAGE_FORMAT_NV21)        .setRotation(rotation)        .build();

With the preceding instance, we have the width and height of the input image. It can be configured according to your application's requirement. 

If you want to learn more about image format parameters, check out: https://developer.android.com/reference/android/graphics/ImageFormat ...