virtualenv pyenv
. pyenv/bin/active
pip install tensorflow==2.4.1

while (IMU.accelerationAvailable() && IMU.gyroscopeAvailable()) {
  float x, y, z;
  float x1, y1, z1;
  float x2, y2, z2;
  // Read each sample, removing it from the device's FIFO buffer
  if (!IMU.readAcceleration(x1, y1, z1)) {
    TF_LITE_REPORT_ERROR(error_reporter, "Failed to read data");
    break;
  }
  if (!IMU.readGyroscope(x2, y2, z2)) {
    TF_LITE_REPORT_ERROR(error_reporter, "Failed to read data");
    break;
  }

  x = (x1 + x2) / 2;
  y = (y1 + y2) / 2;
  z = (z1 + z2) / 2;
}

#define high "有点高了"
#define low "有点低了"
#define good "应该会投进"
#define fail "三不沾"

void HandleOutput(tflite::ErrorReporter* error_reporter, int kind) {
  // The first time this method runs, set up our LED
  static bool is_initialized = false;
  static HardwareBLESerial &bleSerial = HardwareBLESerial::getInstance();

  if (!is_initialized) {
    pinMode(LED_BUILTIN, OUTPUT);
    is_initialized = true;
  }

  if (kind == 0) {
    digitalWrite(LED_BUILTIN, LOW);
    TF_LITE_REPORT_ERROR(
        error_reporter,
        high);
    bleSerial.println(high);
  } else if (kind == 1) {
    digitalWrite(LED_BUILTIN, LOW);
    TF_LITE_REPORT_ERROR(
        error_reporter,
        low);
    bleSerial.println(low);
  } else if (kind == 2) {
    digitalWrite(LED_BUILTIN, HIGH);
    TF_LITE_REPORT_ERROR(
        error_reporter,
        good);
    bleSerial.println(good);
  } else if (kind == 3) {
    digitalWrite(LED_BUILTIN, LOW);
    TF_LITE_REPORT_ERROR(
        error_reporter,
        fail);
    bleSerial.println(fail);
  }
}