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
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 3.6.1+ 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.
Defaults to 'False'.
--save-figures SAVE_FIGURES
Whether or not to save figures when plotting insights.
Defaults to 'True'.
-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
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