Gitiles
Code Review Sign In
code.v1.dodo.cloud / pcloud / 82d017f6012b9e990b6925d1424422daf36ae1d7
commit82d017f6012b9e990b6925d1424422daf36ae1d7[log] [tgz]
authorgiolekva <giolekva@gmail.com>Mon Apr 27 17:00:02 2020 +0400
committergiolekva <giolekva@gmail.com>Mon Apr 27 17:00:02 2020 +0400
tree6268ba00ef790cb2c28f27d9b295b7e804418e6e
parent2fa91ebf74a8915c5d1deffab4aa2ccd4aa9cd5c [diff]
move apps to apps/ folder
15 files changed
tree: 6268ba00ef790cb2c28f27d9b295b7e804418e6e
  1. apps/
  2. archive/
  3. controller/
  4. docs/
  5. rpi/
  6. scripts/
  7. .gitignore
  8. README.md
README.md

PCloud

PCloud is a set of distributed infrustructure tools meant for setting up a personal cloud on commodity hardware such as Raspberry Pi. Goal of the project is to provide:

  • Blob storage: distributed file storage with configurable replication for redundancy
  • Namespace service: built on top of Blob storage to expose it, at least in read only mode, as a mountable file system
  • Metadata service: storing Blob annotations such as objects and their locations detected in the pictures
  • Search infrastructure: to index Blob metadata and provide search API
  • App infrastructure: to easily set up and run third party applications such as custom in picture object detection models

To prove viability of the project first milestone will be to build fully functional image storage and indexing infrustructure. User experience setting it up will look something like:

  • Set up PCloud on 3 or more servers and pair mobile device with it
  • Configure IFTTT (if this then that) like worklfow to automatically:
    • Back up every newly taken picture on PCloud
    • Run face detection app on backed up pictures and store this information in Metadata service
    • Index face annotations and make them searchable

User must be able to configure all of these from previously paired mobile device.