[calibration] Fix calibration warnings. (#3155)

This commit is contained in:
Fabien-B
2023-11-01 21:43:27 +01:00
committed by GitHub
parent 92123924cb
commit decbf5c044
+5 -5
View File
@@ -27,7 +27,7 @@ import os
from optparse import OptionParser
import scipy
from scipy import optimize
import numpy as np
import calibration_utils
@@ -117,9 +117,9 @@ def main():
# estimate the noise threshold if not explicitly given
if noise_threshold <= 0:
# mean over all measurements (flattended array) as approx neutral value
neutral = scipy.mean(measurements)
neutral = np.mean(measurements)
# find the median of measurement vector length after subtracting approximate neutral
meas_median = scipy.median(scipy.array([scipy.linalg.norm(v - neutral) for v in measurements]))
meas_median = np.median(np.array([scipy.linalg.norm(v - neutral) for v in measurements]))
if options.sensor == "ACCEL":
# set noise threshold to be below 10% of that for accelerometers
noise_threshold = meas_median * 0.1
@@ -148,8 +148,8 @@ def main():
# print p0
def err_func(p, meas, y):
cp, np = calibration_utils.scale_measurements(meas, p)
err = y*scipy.ones(len(meas)) - np
c_p, n_p = calibration_utils.scale_measurements(meas, p)
err = y*np.ones(len(meas)) - n_p
return err
p1, cov, info, msg, success = optimize.leastsq(err_func, p0[:], args=(flt_meas, sensor_ref), full_output=1)