Open items after v0.8.0: Vision Pro check, vda model, fur edges

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Nadie ha tomado este issue todavía.

Evaluación

Dificultad
5/5
Tiempo estimado
Más de una semana
Aptitud para principiantes
12/100
Tipo de issue
Nueva funcionalidad
Claridad
Necesita aclaración
Estado de actividad
Activo
Stack tecnológico
rust
Área
ai, cli

Línea de trabajo

This is a tracking checklist rather than a scoped task, so there is no single file to start from. The payload names the -m vda option and the model catalogue, which governs whether the Video Depth Anything Small model is published on Hugging Face or removed. Related work sits in #1 (wide-hole fill) and #10 (file-level readback), so read those first. Done means each open item is either resolved or split into its own scoped issue.

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

Descripción

Open items left over from the v0.7.0 review. Everything else listed here originally has shipped: scaling max disparity with image width, the positive disparity adjustment and field of view from EXIF landed in v0.8.0.

Still open

  • Nothing has been checked on a Vision Pro yet. Output files (stereo HEIC, MV-HEVC) need a real-device check; #10 adds the file-level readback.
  • -m vda has no public download. The model is not uploaded to Hugging Face, so the option only works on a machine that already has it. Either publish the converted Video Depth Anything Small model (Apache-2.0 upstream) with its license text, or remove the option from the model catalogue.
  • Cat-ear fur is slightly worse with the median than with the guided filter. Watch on more photos; no action until a second example shows it.
  • Wide-hole fill: tracked in #1.

This issue is a checklist, not a scoped task, and carries no estimate.

Lenguaje dominante
Rust
Estrellas
0
Forks
0
Merge medio
3 min
PR fusionados (30 d)
3

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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