Comments (4)
@abichoi The significant difference in inference time between your two models is expected. Kindly follow the process below to reduce the invoke() time for the SSD Mobilenet v2 FPNLite 640x640 model on your Raspberry Pi 4B:
Please enable NNAPI acceleration by setting the target option in the Interpreter creation:
interpreter = tf.lite.Interpreter(model_path="ssd_mobilenet_v2_fpnlite_640x640.tflite", experimental_options=tf.lite.InterpreterOptions(target=tf.lite.REFERRED_TARGETS[0]))
interpreter.allocate_tensors()
Thank you!
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