UMass-Rescue / UMass-Rescue/RescueBox

Rescuebox: Pipeline ufdr images process

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complex hackathon
Dominant language
Python
Stars
6
Forks
15
Avg merge
14h 42m
Merged PRs (30d)
7

Description

user scenario :
a get a device with media ( phone with images / text )
b mount ufdr device
c run app to sort images to folders
d run respective plugin like : summarize audio , bulk-upload face match , detect fakes

this would mean a pipeline of jobs/tasks linking existing plugins
pipleine hello-world
and
rescuebox pipeline
next steps would be pipelline a. ufdr mounter -> face-match -> age-detect sequence

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading the linked rescuebox_pipeline and rescuebox_pipeline/hello_world directories. Confirm how existing plugins are represented and how the proposed UFDR mounter -> face-match -> age-detect sequence should link jobs. Done means an agreed pipeline design and a working sequence that processes UFDR media through those tasks.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
backend
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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