#include <replace_with_edge_impulse_inferencing.h>

#include <eloquent.h>

#include <eloquent/tinyml/edgeimpulse.h>

Eloquent::TinyML::EdgeImpulse::Impulse impulse;

void setup() {

Serial.begin(115200);

delay(3000);

Serial.println("Starting EdgeImpulse inference");

Serial.println("Paste your feature vector in the Serial Monitor and get the predicted value");

Serial.print("(expecting ");

Serial.print(EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE);

Serial.println(" comma-separated features)");

}

void loop() {

float features[EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE] = {0};

if (!Serial.available())

return;

for (int i = 0; i < EI_CLASSIFIER_DSP_INPUT_FRAME_SIZE; i++)

features[i] = Serial.readStringUntil(',').toFloat();

Serial.print("Predicted class: ");

Serial.println(impulse.predict(features));

Serial.print("Predicted label: ");

Serial.println(impulse.getLabel());

// debug class probabilities and timing

impulse.printTo(Serial);

}