openvinotoolkit / openvinotoolkit/open_model_zoo
interactive_face_detection: appearance improvement
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- Dominant language
- Python
- Stars
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- Avg merge
- 4d 13h
- Merged PRs (30d)
- 4
Description
@dkurt, suggested an idea to draw emotion histograms for interactive_face_detection_demo just under bounding boxes to simplify matching between bounding boxes and histograms and decrease the occlusion of image by histograms in case of crowds.
Alternative solution is just to limit the number of drawn histograms.
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 with the interactive_face_detection_demo and inspect how emotion histograms are drawn relative to bounding boxes. Determine whether placing histograms below their boxes or limiting the number shown better reduces crowding and image occlusion. Done means the selected appearance improvement is visible in crowded scenes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100