UMass-Rescue / UMass-Rescue/RescueBox
Plugin: fine tuning of existing vision models
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 6
- Forks
- 15
- Avg merge
- 14h 42m
- Merged PRs (30d)
- 7
Description
current plugins namely : facematch , deepfake , age-detector all three of them could be benfit from fine tuning . for example, focus on age 5 to 19 images
all of these use onnx models , can a common code approach work for fine tuning ?
Fine-tuning with LoRA adapters in ONNX Runtime
if GPU is required can we use AVD /Unity host for this ?
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
The issue names the facematch, deepfake, and age-detector plugins and their ONNX models, but no files or tests. Start by locating those plugin entry points and reviewing the linked issue #82. Done would require a decided common fine-tuning approach, including whether LoRA and GPU hosting through AVD or Unity are supported.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100