I have a trained Object Detection model using TFLite Model Maker, I can run the model on my Android app with Task Library but it is currently running on Phone’s CPU, how to let the model running on GPU with Task Library (I am running it from Java, not C++)
More over, I tried to run the model using Interpreter as the sample (examples/lite/examples/object_detection/android/lib_interpreter at master · tensorflow/examples · GitHub 1) but the result running on lib_interpreter is worse than the result running on Task Library, is it because of any additional tuning from Task Library when inferencing the model?
Hope you can support me.