maxbbraun / maxbbraun/thermal-face
Try retraining an existing TPU face detector model
Nobody has claimed this yet.
- Dominant language
- Shell
- Stars
- 70
- Forks
- 14
- PR merge metrics
- No merged PRs in 30d
Description
The current approach is to train a detector model from scratch on a dataset that combines visible-light and thermal images, then compile it for Edge TPU.
An alternative approach would be to retrain an existing and already TPU-optimized detector model such as MobileNet SSD v2 (Faces), probably using only the thermal images.
This could be particularly interesting as a workaround for issue #2.
Contributor guide
No contributing guide indexed for this repository
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 with the repository's training approach and the linked Coral Edge TPU retraining and model documentation. Investigate whether an existing TPU-optimized face detector can be retrained using thermal images as a workaround for issue #2; done means establishing whether this approach is viable.
Written by the indexing model from the issue text.
Assessment
- Domain
- computer-vision, embedded-iot, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100