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 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 is installed in the activated enrivonment, usage is:

python -m photocrawl -i files_location

Detailed options go as follows:

usage: __main__.py [-h] -i IMAGES_LOCATION [-o OUTPUT_DIR]
                   [--show-figures SHOW_FIGURES] [--save-figures SAVE_FIGURES]
                   [-l LOG_LEVEL]

Python 3.6+ utility to get insight on your photography practice.

optional arguments:
  -h, --help            show this help message and exit
  -i IMAGES_LOCATION, --images IMAGES_LOCATION
                        Location, either relative or absolute, of the
                        directory with images you wish to crawl
  -o OUTPUT_DIR, --output OUTPUT_DIR
                        Location, either relative or absolute, of the output
                        directory.Defaults to 'outputs'
  --show-figures SHOW_FIGURES
                        Whether or not to show figures when plotting insights.
  --save-figures SAVE_FIGURES
                        Whether or not to save figures when plotting insights.
  -l LOG_LEVEL, --logs LOG_LEVEL
                        The base console logging level. Can be 'debug',
                        'info', 'warning' and 'error'.Defaults to 'info'.

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 ...)

License

Copyright © 2019-2020 Felix Soubelet. MIT License