nextcloud / nextcloud/recognize
Allow for manual face tag
Nobody has claimed this yet.
- Dominant language
- PHP
- Stars
- 699
- Forks
- 68
- Avg merge
- 1d 4h
- Merged PRs (30d)
- 5
Description
Describe the feature you'd like to request
The ability to manually tag a face in a photo.
Sometimes recognize does not pick up someone in the photo.
Reasons why the face was not found:
- Either the face has not been found at all,
- The person is on an angle, or their whole face is not in the frame.
- The person is wearing a silly mask in a 'selfie booth'
You still want to be able to find the photo of the person when you click on that avatar.
Describe the solution you'd like
The ability to manually tag a face in a photo:
Allowing the system either add the vector to an existing list of vectors for the person.
or create a new record of a person, generate a vector for the tagged location, and assign the vector to the name record.
(Possibly optional tick box of "Add face to index")
If recognize is not "seeing" the person, allowing users to tag a person's face would put in 'rotation' for the next scan.
Describe alternatives you've considered
I have not seen an option apart from lowering tolerances in face detection, then getting swamped
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 by tracing the existing face-recognition and face-indexing flow described in the issue. Done means a user can manually tag a face, associate it with an existing or new person record, and find the photo through that person's avatar.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, php
- Domain
- computer-vision
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 38/100