191 lines
5.7 KiB
ReStructuredText
191 lines
5.7 KiB
ReStructuredText
Photo Ranking With Python
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=========================
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.. hyper link references
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.. _`Elo Ranking System`: http://en.wikipedia.org/wiki/Elo_rating_system
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.. _`exifread`: https://pypi.python.org/pypi/ExifRead
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.. image:: screenshot.png
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What is this?
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-------------
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This is a tool that uses the `Elo Ranking System`_ written in Python using::
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1. Matplotlib
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2. Numpy
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3. exifread
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Features::
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* Auto image rotation that the camera recored in the EXIF meta data
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* Persistent state from execution to execution so you can pickup where you left off
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* New photos that are added to the photo dir after initial ranking are picked up
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Install dependencies
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--------------------
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Use your system's package manager to install Numpy & Matplotlib if you don't
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already have them installed.
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Next, you can use pip to install the EXIF image reader package `exifread`_:
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.. code-block:: bash
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pip install exifread --user
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How to rank photos
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------------------
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Once you have to dependencies installed, run ``rank_photos.py`` on the command
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line passing it the directory of photos.
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.. code-block:: bash
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./rank_photos.py --help
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usage: rank_photos.py [-h] [-r N_ROUNDS] [-f FIGSIZE FIGSIZE] photo_dir
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Uses the Elo ranking algorithm to sort your images by rank. The program reads
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the comand line for images to present to you in random order, then you select
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the better photo. After N iteration the resulting rankings are displayed.
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positional arguments:
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photo_dir The photo directory to scan for .jpg images
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optional arguments:
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-h, --help show this help message and exit
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-r N_ROUNDS, --n-rounds N_ROUNDS
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Specifies the number of rounds to pass through the
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photo set
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-f FIGSIZE FIGSIZE, --figsize FIGSIZE FIGSIZE
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Specifies width and height of the Matplotlib figsize
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(20, 12)
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For example, iterate over all photos three times:
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.. code-block:: bash
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./rank_photos.py -r 3 ~/Desktop/example/
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After the number of rounds complete, `ranked.txt` is written into the photo dir.
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Ranking work is cached
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----------------------
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After completing N rounds of ranking, a file called ``ranking_table.json`` is
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written into the photo dir. The next time ``rank_photos.py`` is executed with
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the photo dir, this table is read in and ranking can continue where you left
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off.
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You can also add new photos the the directory and they will get added to the
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ranked list even though they weren't included previously.
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Example
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-------
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Suppose there is a dir containing some photos:
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.. code-block:: bash
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ls -1 ~/Desktop/example/
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20160102_164732.jpg
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20160109_151557.jpg
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20160109_151607.jpg
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20160109_152318.jpg
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20160109_152400.jpg
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20160109_152414.jpg
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20160109_153443.jpg
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These photos haven't been ranked yet, so lets ranking, 1 round:
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.. code-block:: bash
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./rank_photos.py -r 1 ~/Desktop/example/
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Once the number of rounds completes, the ranked list is dumped to the console:
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.. code-block:: bash
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Final Ranking:
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Rank Score Matches Win % Filename
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1 1433 2 100.00 20160109_152414.jpg
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2 1414 3 66.67 20160109_151557.jpg
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3 1401 2 50.00 20160109_153443.jpg
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4 1400 2 50.00 20160102_164732.jpg
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5 1387 3 33.33 20160109_151607.jpg
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6 1383 3 33.33 20160109_152318.jpg
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7 1382 3 33.33 20160109_152400.jpg
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The ranked list is also written to the file ``ranked.txt``:
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.. code-bash:: bash
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cat ~/Desktop/example/ranked.txt
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Rank Score Matches Win % Filename
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1 1433 2 100.00 20160109_152414.jpg
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2 1414 3 66.67 20160109_151557.jpg
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3 1401 2 50.00 20160109_153443.jpg
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4 1400 2 50.00 20160102_164732.jpg
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5 1387 3 33.33 20160109_151607.jpg
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6 1383 3 33.33 20160109_152318.jpg
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7 1382 3 33.33 20160109_152400.jpg
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The raw data is cached to the file ``ranking_table.json``:
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cat ~/Desktop/example/ranking_table.json
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{
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"photos" : [
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{
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"matches" : 2,
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"wins" : 2,
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"score" : 1432.736306793522,
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"filename" : "20160109_152414.jpg"
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},
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{
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"matches" : 3,
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"wins" : 2,
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"score" : 1413.760501639972,
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"filename" : "20160109_151557.jpg"
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},
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{
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"matches" : 2,
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"wins" : 1,
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"score" : 1400.736306793522,
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"filename" : "20160109_153443.jpg"
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},
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{
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"matches" : 2,
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"wins" : 1,
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"score" : 1400.0336900375303,
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"filename" : "20160102_164732.jpg"
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},
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{
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"matches" : 3,
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"wins" : 1,
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"score" : 1387.00607880615,
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"filename" : "20160109_151607.jpg"
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},
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{
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"matches" : 3,
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"wins" : 1,
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"score" : 1383.263693206478,
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"filename" : "20160109_152318.jpg"
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},
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{
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"matches" : 3,
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"wins" : 1,
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"score" : 1382.4634227228255,
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"filename" : "20160109_152400.jpg"
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}
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]
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}
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If you run the program again, the cached data is loaded and new matches can
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be continued using the cached data. If new photos are added, they get added
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to the table data and are included in new match ups.
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