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):
def pt_arr_to_track(pts):
seg = Segment([Point(None, p[0], p[1], time + dt) for p in pts])
return Track(name="TripA", segments=[seg])
from tracktotrip import Track
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')
plt.axis('equal')
for segment in trk.segments:
plt.plot([p.lon for p in segment.points], [p.lat for p in segment.points], '-')
n_points = sum([len(s.points) for s in trk.segments])
trk.simplify(None, None)
for segment in trk.segments:
plt.plot([p.lon for p in segment.points], [p.lat for p in segment.points], '--')
result = sum([len(s.points) for s in trk.segments])
print("From %d to %d points" % (n_points, result))
print("Compression: %f" % (n_points/float(result)))
plt.show()
