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Add rogue run finder #1
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@@ -216,7 +217,7 @@ def add_shared_args(parser): | |||
coords = np.array([[np.average(d["lats"][0]), np.average(d["lons"][0])] for d in data]) | |||
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if args.type == "cluster": | |||
cluster = DBSCAN(eps=args.radius, min_samples=10) | |||
cluster = DBSCAN(eps=args.radius, min_samples=args.min_cluster_size) |
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+1
@@ -156,6 +155,8 @@ def add_shared_args(parser): | |||
help="if defined only include this activity type") | |||
parser.add_argument("--gpx-dir", default="strava", | |||
help="directory with gpx files") | |||
parser.add_argument("--use-osm", default=False, action="store_true", | |||
help="overlay heatmap on top of OpenStreetMap") |
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+1
I think it would be better to split segments with large jumps into multiple segments, that way they don't need to be skipped. In that case a track with 1 segment that includes a skip: <trk>
<name>Lunch Ride</name>
<type>1</type>
<trkseg>
<trkpt lat="37.8350560" lon="-122.1949540">
<ele>328.0</ele>
<time>2017-05-21T19:16:51Z</time>
</trkpt>
<trkpt lat="37.8350850" lon="-122.1948800">
<ele>327.4</ele>
<time>2017-05-21T19:16:52Z</time>
</trkpt>
<trkpt lat="37.8350570" lon="-122.1948800">
<ele>327.5</ele>
<time>2017-05-21T19:16:55Z</time>
</trkpt>
<!--Let's say the skip occurs here-->
<trkpt lat="37.8350320" lon="-122.1949230">
<ele>327.7</ele>
<time>2017-05-21T19:16:57Z</time>
</trkpt>
<trkpt lat="37.8350100" lon="-122.1949850">
<ele>327.8</ele>
<time>2017-05-21T19:16:59Z</time>
</trkpt>
<trkpt lat="37.8350050" lon="-122.1950210">
<ele>327.9</ele>
<time>2017-05-21T19:17:00Z</time>
</trkpt>
</trkseg>
</trk> Becomes: <trk>
<name>Lunch Ride</name>
<type>1</type>
<trkseg>
<trkpt lat="37.8350560" lon="-122.1949540">
<ele>328.0</ele>
<time>2017-05-21T19:16:51Z</time>
</trkpt>
<trkpt lat="37.8350850" lon="-122.1948800">
<ele>327.4</ele>
<time>2017-05-21T19:16:52Z</time>
</trkpt>
<trkpt lat="37.8350570" lon="-122.1948800">
<ele>327.5</ele>
<time>2017-05-21T19:16:55Z</time>
</trkpt>
</trkseg>
<!--End last segment, start new one-->
<trkseg>
<trkpt lat="37.8350320" lon="-122.1949230">
<ele>327.7</ele>
<time>2017-05-21T19:16:57Z</time>
</trkpt>
<trkpt lat="37.8350100" lon="-122.1949850">
<ele>327.8</ele>
<time>2017-05-21T19:16:59Z</time>
</trkpt>
<trkpt lat="37.8350050" lon="-122.1950210">
<ele>327.9</ele>
<time>2017-05-21T19:17:00Z</time>
</trkpt>
</trkseg>
</trk> edit: Yes, gpxpy supports updating the gpx objects then saving them back as xml: with open(file, "r") as f:
gpx = gpxpy.parse(f)
track = gpx.tracks[0]
segment = track.segments[0]
if has_jump(segment):
track.segments = ...
with open(file, "w") as f:
file.write(gpx.to_xml()) There's an assumption in |
good idea! ill make those changes today |
Can you rename rogue to something more descriptive (split, remove_jumps, etc) and add a line to the readme? Also, what was your motivation for moving the .py files out of the top level? I don't think of this as something ppl will pip (since it's just some scripts) so I'm not sure it's needed |
Also add virtualennv / .DS_Store to the
.gitignore