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Photos management

License: Other

Scala 95.17% Java 4.10% Makefile 0.14% Nix 0.59%
zio classification photos scala deep-java-learning faces-detection photos-management photos-manager image-classification image-processing

sotohp's Introduction

SOTOHP

A software to easily and quickly manage a huge amount of photos. Why ? Just because those past 23 years, I've taken more than 90000 photos. Once again this project has first started as just a "small" script.

Principles

  • The photos referential is always your photos directories as you've organized them,
  • Your photos directories are left unchanged, only read operations are done,
  • A local LMDB database is used to store/cache/query, serialization is JSON based,
  • Background jobs are run to update, to enrich, to analyze, to process your photos
  • Dedicated Filesystem targets for pre-processed photos
  • Photos are identified using an ULID identifier computed from the shoot timestamp
    • if shoot timestamp is missing or invalid, file last modified is used (at first seen)
    • SO photos stream is automatically ordered by this timestamp
  • DeepJavaLibrary is intensively used for
    • photos classifications,
    • people faces detection,
    • objects detection,...

Current status

  • no release available yet
  • code is stable and usable for
    • visualization
    • publishing photo records to elasticsearch / opensearch
    • searching and statistics purposes

The visualisation with the graphical user interface is very fast :) It starts in 2 seconds even with my 92000 photo database.

Published information to elasticsearch or opensearch make it easy to build very interesting dashboards such as :

sotohp's People

Contributors

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sotohp's Issues

Improve missing shooting date strategy

Use in priority :

  1. photo shooting date timestamp in exif data
  2. use timestamp coming from a photo with exif data in the same directy
  3. extract timestamp from directory naming rules
  4. use file created date

photos analysis

  • photo files analyzer
    • originals (file format issues, ...)
    • generated photos miniatures
    • normalized photos
  • results
    • summary report
    • detailed report

Induce missing GPS coordinates

Using such approach

  • add a field induced or realGPS field
  • add an algorithm such as
    • consecutives photos coming from the same camera
    • approximate missing coordinates between photos with coordinates in a limited timerange
    • time base average between two known points (on a line, and depending of timestamp)

photo objects detection

  • call legacy model
  • enhance with a richer model ?
  • store detected objects names
  • store detected objects bouding boxes

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