UMass-Rescue / UMass-Rescue/RescueBox
Plugin: Implement batch processing for Deepfake Detection
Open
Nobody has claimed this yet.
hackathon
- Dominant language
- Python
- Stars
- 6
- Forks
- 15
- Avg merge
- 14h 42m
- Merged PRs (30d)
- 7
Description
Implement batch processing of images for each supported model in the DeepFake detection plugin (src/deepfake-detection). You can take the batch size as a parameter from the UI, with some reasonable defaults that work on most machines.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start in src/deepfake-detection and trace how images currently reach each supported detection model. Inspect the UI path for image inputs and determine where a configurable batch size and default should be applied. Done means each supported model processes image batches and the UI accepts a reasonable default batch size.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100