ageitgey / ageitgey/face_recognition
Model Building Incremental way
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 56.8k
- Forks
- 13.7k
- PR merge metrics
- No merged PRs in 30d
Description
Description
Instead of building the Model for all the images every time is that possible to build the Model in the incremental way.
for ex: If we have 100 images first day and we have built the Model for 100 images for the same day then next day the model will be built only for the new images on the top of the previous day model and that will give the model of all the images present till that day.
No need to retrain all the images every time it should only be for the new images on top of previous day model.
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
No files, tests, or entry points are named. Start by reviewing the repository's model-building workflow and the issue discussion to determine whether incremental updates are supported by the underlying recognition approach; done would require an agreed design and validation that new images extend the existing model without retraining all prior images.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100