Analyze exif data
Project description
Where - day by day location from your photos
This scripts reads EXIF data from your photos and generates CSV file or Pandas dataframe with day by day location in terms of country.
It relies on my package exif2pandas. It uses reverse-geocoder to convert GPS data to country codes. That module uses a csv file with 150k cities and then uses nearest neighbour algorithm to find the position of each gps data point. This sometimes does not work in border regions so if you are seeing bad data the easiest fix is to copy cities.csv and add your village etc.
In case some of your photos contain bad gps data that show that you have been to countries where you have never been you can use ignore_countries
argument.
Jupyter examples:
See example.ipynb
for example graphs and data frames exported.
Install:
See PYPI Python package.
$ pip install photos-where
Use:
$ photos_where Dropbox/Photos/2020/
$ ls where
cities-pie.jpg
countries-pie.jpg
intervals.csv
location-by-day.csv
photos.feather
years.jpg
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