![\"screenshot.jpg\"](\"https:\/\/github.com\/weegreenblobbie\/rank_photos\/blob\/master\/screenshot.jpg\"){kind=icon}
<\/a><\/p>\n<\/a><\/p>\n This is a tool that uses the Elo Ranking System<\/a> written in Python using:<\/p>\n Features:<\/p>\n <\/a><\/p>\n Use your system’s package manager to install Matplotlib & Numpy if you don’t already have them installed.<\/p>\n Next, you can use pip to install the EXIF image reader package exifread<\/a>:<\/p>\n <\/a><\/p>\n Once you have to dependencies installed, run For example, iterate over all photos three times:<\/p>\n After the number of rounds complete, <\/a><\/p>\n After completing N rounds of ranking, a file called You can also add new photos the the directory and they will get added to the ranked list even though they weren’t included previously.<\/p>\n <\/a><\/p>\n Suppose there is a dir containing some photos:<\/p>\n These photos haven’t been ranked yet, so lets rank them, in this example, 1 round:<\/p>\n Once the number of rounds complete, the ranked list is dumped to the console:<\/p>\n The ranked list is also written to the file If you run the program again, the cached data is loaded and new match ups can be continued using the cached data. If new photos were added, they also get added to the table data and are included in match ups.<\/p>\n The code has been posted to github<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":" Photo Ranking With Python What is this? This is a tool that uses the Elo Ranking System written in Python using: Matplotlib Numpy exifread Features: Auto image rotation that the camera recored in the EXIF meta data Persistent state from … Continue reading <\/a>What is this?<\/h2>\n
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<\/a>Install dependencies<\/h2>\n
pip install exifread --user<\/pre>\n<\/div>\n
<\/a>How to rank photos<\/h2>\n
rank_photos.py<\/code> on the command line passing it the directory of photos.<\/p>\n.\/rank_photos.py -h\r\n\r\nusage: rank_photos.py [-h] [-r N_ROUNDS] [-f FIGSIZE FIGSIZE] photo_dir\r\n\r\nUses the Elo ranking algorithm to sort your images by rank. The program globs\r\nfor .jpg images to present to you in random order, then you select the better\r\nphoto. After n-rounds, the results are reported.\r\n\r\npositional arguments:\r\n photo_dir The photo directory to scan for .jpg images\r\n\r\noptional arguments:\r\n -h, --help show this help message and exit\r\n -r N_ROUNDS, --n-rounds N_ROUNDS\r\n Specifies the number of rounds to pass through the\r\n photo set (3)\r\n -f FIGSIZE FIGSIZE, --figsize FIGSIZE FIGSIZE\r\n Specifies width and height of the Matplotlib figsize\r\n (20, 12)<\/pre>\n<\/div>\n
.\/rank_photos.py ~\/Desktop\/example\/<\/pre>\n<\/div>\n
ranked.txt<\/code> is written into the photo dir.<\/p>\n<\/a>Ranking work is cached<\/h2>\n
ranking_table.json<\/code> is written into the photo dir. The next timerank_photos.py<\/code> is executed with the photo dir, this table is read in and ranking can continue where you left off.<\/p>\n<\/a>Example<\/h2>\n
ls -1 ~\/Desktop\/example\/\r\n\r\n20160102_164732.jpg\r\n20160109_151557.jpg\r\n20160109_151607.jpg\r\n20160109_152318.jpg\r\n20160109_152400.jpg\r\n20160109_152414.jpg\r\n20160109_153443.jpg<\/pre>\n<\/div>\n
.\/rank_photos.py -r 1 ~\/Desktop\/example\/<\/pre>\n<\/div>\n
Final Ranking:\r\nRank Score Matches Win % Filename\r\n 1 1433 2 100.00 20160109_152414.jpg\r\n 2 1414 3 66.67 20160109_151557.jpg\r\n 3 1401 2 50.00 20160109_153443.jpg\r\n 4 1400 2 50.00 20160102_164732.jpg\r\n 5 1387 3 33.33 20160109_151607.jpg\r\n 6 1383 3 33.33 20160109_152318.jpg\r\n 7 1382 3 33.33 20160109_152400.jpg<\/pre>\n<\/div>\n
ranked.txt<\/code>. The raw data is cached to the file ranking_table.json<\/code>:<\/p>\ncat ~\/Desktop\/example\/ranking_table.json\r\n\r\n{\r\n \"photos\" : [\r\n {\r\n \"matches\" : 2,\r\n \"wins\" : 2,\r\n \"score\" : 1432.736306793522,\r\n \"filename\" : \"20160109_152414.jpg\"\r\n },\r\n {\r\n \"matches\" : 3,\r\n \"wins\" : 2,\r\n \"score\" : 1413.760501639972,\r\n \"filename\" : \"20160109_151557.jpg\"\r\n },\r\n {\r\n \"matches\" : 2,\r\n \"wins\" : 1,\r\n \"score\" : 1400.736306793522,\r\n \"filename\" : \"20160109_153443.jpg\"\r\n },\r\n {\r\n \"matches\" : 2,\r\n \"wins\" : 1,\r\n \"score\" : 1400.0336900375303,\r\n \"filename\" : \"20160102_164732.jpg\"\r\n },\r\n {\r\n \"matches\" : 3,\r\n \"wins\" : 1,\r\n \"score\" : 1387.00607880615,\r\n \"filename\" : \"20160109_151607.jpg\"\r\n },\r\n {\r\n \"matches\" : 3,\r\n \"wins\" : 1,\r\n \"score\" : 1383.263693206478,\r\n \"filename\" : \"20160109_152318.jpg\"\r\n },\r\n {\r\n \"matches\" : 3,\r\n \"wins\" : 1,\r\n \"score\" : 1382.4634227228255,\r\n \"filename\" : \"20160109_152400.jpg\"\r\n }\r\n ]\r\n}<\/pre>\n<\/div>\n