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Have multiple parallel processors - or inference on multiple cameras

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Quiet
Tech stack
python
Domain
desktop, machine-learning

Research direction

The issue names no files, tests, or entry points. Start by tracing how the GUI connects one processor to one camera stream and how inference is scheduled. Define the intended behavior for multiple processors and multiple cameras before implementation, including what successful parallel processing should look like.

Written by the indexing model from the issue text.

Description

DLClive enhancement

Currently the system is designed to have a single processor that works on a single camera stream.

It would be useful to have multiple processors running in parallel. Or as a step towards that: have the ability to run inference on multiple cameras.

Dominant language
Python
Stars
72
Forks
28
Avg merge
1d 10h
Merged PRs (30d)
2

Contributor guide

No contributing guide indexed for this repository

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.

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