Analysis script of photography habits.
Project description
PhotoCrawl: A Photography Analyzer
A simple script to run analysis and get insight on my use of equipment and settings in my practice of photography.
Install
Prerequisites
This script runs on Python3.6.1+, and requires the following libraries: PyExifInfo
, matplotlib
, seaborn
, pandas
, pendulum
, typer
and loguru
.
Most importantly, it also requires that you have the amazing ExifTool package by Phil Harvey.
Install
This code is compatible with Python 3.6+
.
If for some reason you have a need for it, you can simply install it in your virtual enrivonment with:
pip install photocrawl
Usage
With this package installed in the activated enrivonment, it can be called through python -m photocrawl
or through a newly created photocrawl
command.
Detailed usage goes as follows:
Usage: photocrawl [OPTIONS] [IMAGES]
Crawl and ensemble of pictures to run analysis of their metadata and get
insight on one's use of equipment and settings in their practice of
photography.
Arguments:
[IMAGES] Location, relative or absolute, of the images directory you wish
to crawl.
Options:
--output-dir TEXT Location, either relative or absolute, of
the output directory. [default: outputs]
--show-figures / --no-show-figures
Whether or not to show figures when plotting
insights. [default: False]
--save-figures / --no-save-figures
Whether or not to save figures when plotting
insights. [default: False]
--log-level TEXT The base console logging level. Can be
'debug', 'info', 'warning' and 'error'.
[default: info]
--install-completion Install completion for the current shell.
--show-completion Show completion for the current shell, to
copy it or customize the installation.
--help Show this message and exit.
The script will crawl files, extract exif and output visualizations named insight_1.png
and insight_2.png
in a newly created outputs
folder (or a folder named as you specified).
Output example
Here is an example of what the script outputs:
TODO
- Handling raw files.
- Handling subfolders when looking for files.
- Output all insight in a single/two plot.
- Implement proper logging.
- Make into a package.
- Make callable as a python module (
python -m photocrawl ...
). - Improving the command line experience.
License
Copyright © 2019-2020 Felix Soubelet. MIT License
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.