def process_track(filename):
t = Track.from_gpx(filename)[0]
t.compute_metrics()
for segment in t.segments:
features = extract_features(segment.points)
return features
def process_track(filename):
t = Track.from_gpx(filename)[0]
t.compute_metrics()
for segment in t.segments:
features = extract_features(segment.points)
return features
from tracktotrip import Track
import tracktotrip.transportation_mode as tm
from changepy import pelt
from changepy.costs import normal_mean
import numpy as np
import matplotlib.pyplot as plt
temp_trk = [
Track.from_gpx('/Users/ruipgil/tracks/backup/2015-07-23_1.gpx')[0],
Track.from_gpx('/Users/ruipgil/tracks/backup/2015-07-23_2.gpx')[0],
Track.from_gpx('/Users/ruipgil/tracks/backup/2015-07-23_3.gpx')[0]
]
segs = []
for trke in temp_trk:
segs.extend(trke.segments)
trk = Track("", segs)
trk.compute_metrics()
trk.to_trip('', 0, 5.0, 0.15, 80, 0.3, '%Y-%m-%d')
def raw_vel(seg):
return [p.vel for p in seg.points]
def raw_acc(seg):
return [p.acc for p in seg.points]
def abs_vel(seg):
return [abs(p.vel) for p in seg.points]
def square_vel(seg):
