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MIT License | ||
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Copyright (c) 2021 Ronan Perry | ||
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Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
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The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. |
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# strava_local_heatmap.py | ||
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Python script to create static and animated heatmaps from Strava *.fit* files | ||
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## Usage | ||
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* Download your bulk data (https://support.strava.com/hc/en-us/articles/216918437-Exporting-your-Data-and-Bulk-Export) | ||
* Install the python dependencies from `requirements.txt` | ||
* Run `python strava_local_heatmap.py` | ||
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### Command-line options | ||
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``` | ||
usage: create_map.py [-h] [--dir DIR] [--filter FILTER] [--year YEAR [YEAR ...]] | ||
[--bounds BOUND BOUND BOUND BOUND] [--output OUTPUT] [--zoom ZOOM] [--sigma SIGMA] | ||
[--orange] [--alpha] [--gif] [--fps] [--max-time] [--csv] | ||
optional arguments: | ||
-h, --help show this help message and exit | ||
--dir DIR FIT files directory (default: activities) | ||
--filter FILTER FIT files glob filter (default: *.fit) | ||
--year YEAR [YEAR ...] | ||
FIT files year(s) filter (default: all) | ||
--bounds BOUND BOUND BOUND BOUND | ||
heatmap bounding box as lat_min, lat_max, lon_min, lon_max (default: -90 +90 -180 +180) | ||
--output OUTPUT heatmap name (default: heatmap.png) | ||
--zoom ZOOM heatmap zoom level 0-19 or -1 for auto (default: -1) | ||
--sigma SIGMA heatmap Gaussian kernel sigma in pixel (default: 1) | ||
--orange Uses the strava background color scheme | ||
--alpha Intensity of background color scheme (default: 0.7) | ||
--gif Creates an animated gif rather than static image | ||
--fps Frames per second if gif | ||
--max-time Maximum duration of the gif, in seconds | ||
--csv also save the heatmap data to a CSV file | ||
``` | ||
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Note: `ZOOM` is OpenStreetMap zoom level (the number following `map=` in [www.openstreetmap.org/#map=](https://www.openstreetmap.org)) | ||
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On the use of histogram equalization: [https://medium.com/strava-engineering/the-global-heatmap-now-6x-hotter](https://medium.com/strava-engineering/the-global-heatmap-now-6x-hotter-23fc01d301de) | ||
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## Examples | ||
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command|output | ||
-------|------ | ||
`python create_map.py --dir data/archive_01-02-2021/activities/ --bounds 48.457 48.605 8.88 9.146 --orange --output outputs/tuebingen_heatmap`| | ||
`python create_map.py --dir data/archive_01-02-2021/activities/ --bounds 48.457 48.605 8.88 9.146 --orange --output outputs/tuebingen_heatmap --gif`| | ||
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### Python Requirements | ||
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``` | ||
numpy | ||
matplotlib | ||
fitdecode | ||
pandas | ||
Pillow | ||
imageio | ||
``` | ||
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Run `pip install -r requirements.txt` from the repository folder to install. |
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from argparse import ArgumentParser, Namespace | ||
from src.generate_heatmaps import generate_gif, generate_heatmap | ||
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if __name__ == '__main__': | ||
parser = ArgumentParser(description='Generate a PNG heatmap from local Strava fit files') | ||
# epilog='Report issues to https://github.com/remisalmon/Strava-local-heatmap/issues') | ||
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parser.add_argument('--dir', default='activities/', | ||
help='fit files directory') | ||
parser.add_argument('--filter', default='*.fit*', | ||
help='fit files glob filter (default: *.fit*)') | ||
parser.add_argument('--year', nargs='+', default=[], | ||
help='fit files year(s) filter (default: all)') | ||
parser.add_argument('--bounds', type=float, nargs=4, metavar='BOUND', default=[-90.0, +90.0, -180.0, +180.0], | ||
help='heatmap bounding box as lat_min, lat_max, lon_min, lon_max (default: -90 +90 -180 +180)') | ||
parser.add_argument('--output', default='heatmap', | ||
help='file name (default: heatmap)') | ||
parser.add_argument('--gif', action='store_true', | ||
help='heatmap name (default: heatmap.png)') | ||
parser.add_argument('--zoom', type=int, default=-1, | ||
help='heatmap zoom level 0-19 or -1 for auto (default: -1)') | ||
parser.add_argument('--sigma', type=int, default=2, | ||
help='heatmap Gaussian kernel sigma in pixel (default: 2)') | ||
parser.add_argument('--orange', action='store_true', | ||
help='non-grayscale background') | ||
parser.add_argument('--csv', action='store_true', | ||
help='also save the heatmap data to a CSV file') | ||
parser.add_argument('--alpha', type=float, default=0.6, | ||
help='alpha value for background, between 0 and 1 (default: 0.6)') | ||
# parser.add_argument('--crop', action='store_true', | ||
# help='crop min/max lat/lon bounds based on data.') | ||
parser.add_argument('--fps', type=int, default=4, | ||
help='gif frames per second (default=4)') | ||
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args = parser.parse_args() | ||
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if args.gif: | ||
generate_gif(args) | ||
else: | ||
generate_heatmap(args) |
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numpy>=1.20 | ||
matplotlib>=3.4 | ||
fitdecode | ||
pandas | ||
Pillow | ||
imageio |
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""" | ||
Tools for generating a sheatmap gif from latitude and longitude data. | ||
MIT License | ||
Copyright (c) 2021 Ronan Perry | ||
Permission is hereby granted, free of charge, to any person obtaining a copy | ||
of this software and associated documentation files (the "Software"), to deal | ||
in the Software without restriction, including without limitation the rights | ||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | ||
copies of the Software, and to permit persons to whom the Software is | ||
furnished to do so, subject to the following conditions: | ||
The above copyright notice and this permission notice shall be included in all | ||
copies or substantial portions of the Software. | ||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR | ||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, | ||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE | ||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER | ||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, | ||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE | ||
SOFTWARE. | ||
""" | ||
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# imports | ||
import os | ||
import glob | ||
import time | ||
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import numpy as np | ||
import matplotlib.pyplot as plt | ||
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from urllib.error import URLError | ||
from urllib.request import Request, urlopen | ||
from .parse_fit import get_dataframes |
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