def calibrate_shaper(datas, csv_output, max_smoothing):
helper = ShaperCalibrate(printer=None)
if isinstance(datas[0], CalibrationData):
calibration_data = datas[0]
for data in datas[1:]:
calibration_data.add_data(data)
else:
# Process accelerometer data
calibration_data = helper.process_accelerometer_data(datas[0])
for data in datas[1:]:
calibration_data.add_data(helper.process_accelerometer_data(data))
calibration_data.normalize_to_frequencies()
shaper, all_shapers = helper.find_best_shaper(calibration_data,
max_smoothing, print)
print("Recommended shaper is %s @ %.1f Hz" % (shaper.name, shaper.freq))
if csv_output is not None:
helper.save_calibration_data(csv_output, calibration_data, all_shapers)
return shaper.name, all_shapers, calibration_data
def calc_freq_response(data, max_freq):
helper = ShaperCalibrate(printer=None)
return helper.process_accelerometer_data(data)
def write_frequency_response(datas, output):
helper = ShaperCalibrate(printer=None)
calibration_data = helper.process_accelerometer_data(datas[0])
for data in datas[1:]:
calibration_data.add_data(helper.process_accelerometer_data(data))
helper.save_calibration_data(output, calibration_data)