69 lines
2 KiB
Markdown
69 lines
2 KiB
Markdown
---
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title: How to sort multiples photo directories
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date: 2020-05-15
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---
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Too many backups
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----------------
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I have a bad habit of fearing losing data, and making a hasty backup when I need
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to change machines. Since it's always laborious to compare a directory of photos
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with what I already archive, I usually backup the whole directory to deal with
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it later.
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After a few months (sometimes years), I end up with many backup directories.
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Some images are duplicated across these directories, with various sizes and
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naming. This make the task of archiving even more difficult.
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I recently had to do it and I created some tiny utilities that made this task
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much easier. Let's dig in!
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Proper naming
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-------------
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The first thing to do is to properly name an image. I chose the format
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`year-month-day_hour-minutes-seconds.ext`, eg. `2020-05-15_14h30m05s.jpg`.
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Usually this data is available in the photo
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[Exif](https://en.wikipedia.org/wiki/Exif). You can extract it with
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[exiftool](https://exiftool.org/).
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For instance you can create a small script named `rename-exif-date`:
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```sh
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#!/bin/sh
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# Rename wrt date and hour of shot: 2020-12-25_20h03m12s.jpg
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exiftool -d %Y-%m-%d_%Hh%Mm%Ss%%-c.%%le "-filename<CreateDate" "$@"
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```
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And run it with [fd](https://github.com/sharkdp/fd):
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`> fd -t f -x rename-exif-date {}`
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That will rename all your files.
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Detect thumbnails
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-----------------
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If you have thumbnails cluttering your directories, you can detect and remove
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them with [feh](https://feh.finalrewind.org/).
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To remove files smaller than 300x300, create a script name
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`remove-small-images`:
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```sh
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#!/bin/sh
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feh --recursive --list --max-dimension $1 --action 'rm %F'
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```
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`> remove-small-images 300x300`
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Detect duplicates
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-----------------
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Now you should have clean directories, but potentially full of duplicates.
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The tool I recommend to detecting (and removing) them is
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[dupeGuru](https://dupeguru.voltaicideas.net/).
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It can detect perfect duplicates (basically the same file), or similar images
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with a similarity threshold based on the content.
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