This adds the Strava Global Heatmap layer to Gaia GPS, so you can see common tracks on where other people have been outside. Like this:

- Log into https://www.gaiagps.com/map
- On the left sidebar, go to
Layers
#!/usr/bin/python | |
import select, array, fcntl | |
fname = '/dev/wilco_ec' | |
with open(fname, "r+") as file: | |
p = select.poll() | |
p.register(file.fileno(), select.POLLIN) | |
events = p.poll(100) | |
print "result of poll: ", events |
#!/usr/bin/python | |
import select, array, os | |
fname = "/dev/wilco_event" | |
with open(fname, "r+") as fd: | |
p = select.poll() | |
p.register(fd.fileno(), select.POLLIN) | |
events = p.poll(100) |
#!/usr/bin/python │ CC firmware/2lib/2secdatak.o | |
│ CC firmware/2lib/2sha1.o | |
import select, os, glob │ CC firmware/2lib/2sha256.o | |
│ CC firmware/2lib/2sha512.o | |
fname = glob.glob("/dev/wilco_event*")[0] │ CC firmware/2lib/2sha_utility.o | |
│ CC firmware/2lib/2tpm_boot |
#!/usr/bin/python | |
# https://gist.github.com/NickCrews/52ab07c8519b56c0ec671d3338760516 | |
import os, glob | |
def test(bytes): | |
fname = glob.glob("/dev/wilco_telem*")[0] | |
fd = None |
function filtered = gaussianFilter(img, sigma, varargin) | |
% GAUSSIANFILTER Simplified open-source version of IMGAUSSFILT | |
% The IMGAUSSFILT function is part of the Image Processing Toolbox, | |
% but if you don't want to install that, then use this | |
% instead. I haven't actually tested this to ensure it gives the same result. | |
% Inspired by https://stackoverflow.com/questions/13193248/how-to-make-a-gaussian-filter-in-matlab | |
% | |
% Hardcodes in the default arguments of IMGAUSSFILT | |
% (per https://www.mathworks.com/help/images/ref/imgaussfilt.html) |
# Useful for mounting a .img file (eg for a raspberrypi OS image | |
# so you can modify the root or boot filesystems). | |
if [ -z "$1" ] ; then | |
echo "usage: $0 IMG_FILE MOUNT_POINT PARTITION_NUMBER" | |
exit 1 | |
fi | |
IMG_FILE=$1 | |
if [ -z "$2" ] ; then |
YEAR | Make | Model | Size | (kW) | Unnamed: 5 | TYPE | CITY (kWh/100 km) | HWY (kWh/100 km) | COMB (kWh/100 km) | CITY (Le/100 km) | HWY (Le/100 km) | COMB (Le/100 km) | (g/km) | RATING | (km) | TIME (h) | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2012 | MITSUBISHI | i-MiEV | SUBCOMPACT | 49 | A1 | B | 16.9 | 21.4 | 18.7 | 1.9 | 2.4 | 2.1 | 0 | 100 | 7 | ||
2112 | NISSAN | LEAF | MID-SIZE | A1 | B | 19.3 | 23.0 | 21.1 | 2.2 | 2.6 | 2.4 | 0 | 117 | 7 | |||
2113 | FORD | FOCUS ELECTRIC | COMPACT | 107 | A1 | B | 19.0 | 21.1 | 20.0 | 2.1 | 2.4 | 2.2 | 0 | 122 | 4 | ||
"2013" | MITSUBISHI | i-MiEV | SUBCOMPACT | 49 | A1 | B | 16.9 | 21.4 | 18.7 | 1.9 | 2.4 | 2.1 | 0 | 100 | 7 | ||
2013 | NISSAN | LEAF | MID-SIZE | 80 | A1 | B | 19.3 | 23.0 | 21.1 | 2.2 | 2.6 | 2.4 | 0 | 117 | 7 | ||
2013 | SMART | FORTWO ELECTRIC DRIVE CABRIOLET | TWO-SEATER | 35 | A1 | B | 17.2 | 22.5 | 19.6 | 1.9 | 2.5 | 2.2 | 0 | 109 | 8 | ||
2013 | SMART | FORTWO ELECTRIC DRIVE COUPE | TWO-SEATER | 35 | A1 | B | 17.2 | 19.6 | 1.9 | 2.5 | 2.2 | 0 | 109 | 8 | |||
2013 | TESLA | MODEL S (40 kWh battery) | FULL-SIZE | 270 | A1 | B | 22.4 | 21.9 | 22.2 | 2.5 | 2.5 | 2.5 | 0 | 224 | 6 | ||
2013 | TESLA | MODEL S (60 kWh battery) | FULL-SIZE | 270 | A1 | B | 22.2 | 21.7 | 21.9 | 2.5 | 2.4 | 2.5 | 0 | 335 | 10 |
AnyColOrTable = TypeVar("AnyColOrTable", Column, Table, pd.Series, pd.DataFrame) | |
def convert_to_ibis( | |
func: Callable[[ColOrTable], ColOrTable] | |
) -> Callable[[AnyColOrTable], AnyColOrTable]: | |
"""Decorator that translates pandas series to Columns and DFs to Tables, | |
applies the function, and then converts back to pandas.""" | |
@functools.wraps(func) |
"""Get the Facebook page IDs for a set of facebook URLs. | |
Uses Playwright to emulate me going to the page and looking at the page ID in the | |
actual HTML. I haven't found a more programmatic way to do this without | |
more complicated developer signup and API keys. | |
Uses cookies for authentication, as described in | |
https://github.com/kevinzg/facebook-scraper/blob/392be1eabb43ed301fb7d5c3fd6e10318d26ac27/README.md | |
""" | |
from __future__ import annotations |
This adds the Strava Global Heatmap layer to Gaia GPS, so you can see common tracks on where other people have been outside. Like this:
Layers