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Manually/automatically re-run clustering on rejected faces

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  • ¿Algo no está bien?
#1,307 4 comentarios 5 reacciones 0 asignados Ver en GitHub

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Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
35/100
Tipo de issue
Nueva funcionalidad
Claridad
Bastante claro
Estado de actividad
Estancado
Stack tecnológico
machine-learning, php
Área
backend, machine-learning

Línea de trabajo

Comienza revisando cómo se invoca el clustering mediante occ y compara el comportamiento actual con issue #951. Sigue cómo las caras asignadas manualmente se convierten en nuevas entradas para el clustering y define «terminado» como una forma de volver a ejecutar el clustering sobre las caras rechazadas anteriormente sin requerir nuevas fotos.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

enhancement
Describe the feature you'd like to request

Last year, I added a few thousand photos to Memories over a few days. Recognize eventually churned through most of them and did a pretty good job of recognizing faces and tagging people. However, just a few weeks ago, I discovered the Unassigned faces page and there are so many photos and faces that remain unassigned. I spent a couple of hours assigning faces to ones that Recognize had already clustered together (most of which had a name assigned to them). I then assumed that Recognize would incrementally re-run clustering on rejected faces given the new information I provided by manually assigning a few. However, this does not seem to be the case.

Describe the solution you'd like

I would like a way to have Recognize re-run clustering on rejected faces given new stimuli (such as some rejected faces being manually assigned by the user). This would help me cut down on the number of unassigned faces I have.

I did come across https://github.com/nextcloud/recognize/issues/951 which says that clustering does grab a portion of rejected faces during the clustering of new faces. However, if I am not actively adding new photos, then this does not occur.

Describe alternatives you've considered

I've tried manually running clustering using occ but, as mentioned above, this will only work with new photos that have not yet been clustered. I'm hoping for a way to make the manual assignment of faces a new stimulus for attempting to cluster previously rejected faces.

Lenguaje dominante
PHP
Estrellas
698
Forks
68
Merge medio
18 h 34 min
PR fusionados (30 d)
2

Preparar el entorno

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

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