Machine Learning Projects for Mobile Applications

From a ByteBuffer

Let's create this instance of a FirebaseVisionImage using a ByteBuffer. To do so, though, we must first create an instance of a FirebaseVisionImageMetadata. This contains the data required to construct the vision image, such as format, rotation, and measurements (height and width) as follows:

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

We can then pass this along with our ByteBuffer to create the following instance:

FirebaseVisionImage myImage =                 FirebaseVisionImage.fromByteBuffer(buffer, metadata);