Open
Description
Have I written custom code (as opposed to using a stock example script provided in MediaPipe)
No
OS Platform and Distribution
Linux 20.04/MacOS
Python Version
3.8/3.10
MediaPipe Model Maker version
0.4.3
Task name (e.g. Image classification, Gesture recognition etc.)
Audio classification
Describe the actual behavior
Identify "up" and "down" with different language.
Describe the expected behaviour
Identify "up" and "down" with different language by a trained model from model maker.
Standalone code/steps you may have used to try to get what you need
Other info / Complete Logs
The colab provide by https://ai.google.dev/edge/litert/libraries/modify/audio_classification run failed. I tried with trained with Tensorflow to get a .keras model, converted to ".tflite" model.
Then loaded by MediaPipe Android, got error message: "Error: INVALID_ARGUMENT: Only 1D and 2D tensors are supported.; Initialize was not ok; StartGraph failed".