Predict via TensorFlow Serving (gRPC)

This component takes an image column as input and reachs out to a configured TensorFlow Serving instance via gRPC to get predictions for the image. Output of the component is the resulting image. If you do not expect an image as output but, e.g., one or more double values, use the "Image to Data Row" node afterwards for conversion.

Note: When using this component to create a workflow that should run in KNIME Edge, make sure to have the same model (and version) deployed in KNIME Edge as using locally for testing.

Input ports

1. Type: Table
   Port 1
   A table with an image column.

Output ports

1. Type: Table
   Port 1
   The input table with an appended column that contains the resulting images. Use the "Image to Data Row" node if you expect numbers instead of an image as output.