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#!/usr/bin/env python
import numpy as np
import pandas as pd
import gpxpy
import argparse
R = 6365E3
RADIUS = 1000
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--radius', '-r', default=RADIUS, type=int)
args = parser.parse_args()
waypoints = load_gpx_waypoints(args.waypoint_gpx)
track_points = load_gpx_track(args.track_gpx)
distances = distances_between_coord(
waypoints['Latitude'], waypoints['Longitude'],
track_points['Latitude'], track_points['Longitude']
waypoints['Distance to Route'] = np.min(distances, axis=1)
nearby = waypoints[waypoints['Distance to Route'] < args.radius]
save_waypoint_gpx(nearby, args.output)
def load_gpx_waypoints(gpx_file) -> pd.DataFrame:
with open(gpx_file, 'r') as f:
gpx = gpxpy.parse(f)
waypoints = [{
"Latitude": waypoint.latitude,
"Longitude": waypoint.longitude,
"Elevation": waypoint.elevation,
"Comment": waypoint.comment
} for waypoint in gpx.waypoints]
return pd.DataFrame(waypoints)
def load_gpx_track(gpx_file) -> pd.DataFrame:
with open(gpx_file, 'r') as f:
gpx = gpxpy.parse(f)
points = [{
"Latitude": point.latitude,
"Longitude": point.longitude,
"Elevation": point.elevation,
"Comment": point.comment
} for point in gpx.tracks[0].segments[0].points]
return pd.DataFrame(points)
def save_waypoint_gpx(dataframe, filename):
gpx = gpxpy.gpx.GPX()
def create_waypoint(params):
return gpxpy.gpx.GPXWaypoint(
gpx.waypoints = list(dataframe.apply(create_waypoint, axis=1))
with open(filename, 'w') as f:
def distances_between_coord(lats1, longs1, lats2, longs2):
"""Calculate distances between all combinations of the two lat-long combinations."""
assert len(lats1) == len(longs1)
assert len(lats2) == len(longs2)
lats1 = np.radians(np.array(lats1))
longs1 = np.radians(np.array(longs1))
lats2 = np.radians(np.array(lats2))
longs2 = np.radians(np.array(longs2))
len1 = len(lats1)
len2 = len(lats2)
cos_lats1 = np.cos(lats1)
cos_lats2 = np.cos(lats2)
dlat = np.empty((len1, len2))
dlong = np.empty((len1, len2))
tiled_lats1 = np.tile(np.atleast_2d(lats1).T, (1, len2,))
tiled_lats2 = np.tile(np.atleast_2d(lats2), (len1, 1))
tiled_longs1 = np.tile(np.atleast_2d(longs1).T, (1, len2))
tiled_longs2 = np.tile(np.atleast_2d(longs2), (len1, 1))
dlat = tiled_lats2 - tiled_lats1
del tiled_lats1, tiled_lats2
dlong = tiled_longs2 - tiled_longs1
del tiled_longs1, tiled_longs2
a = np.sin(dlat/2)**2 + np.outer(cos_lats1, cos_lats2) * np.sin(dlong/2)**2
return 2 * R * np.arctan2(np.sqrt(a), np.sqrt(1-a))
if __name__ == "__main__":
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