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Strange inference score

Aperta
  • Qualcosa non va?
#4 1 commento 0 reazioni 0 assegnatari Vedi su GitHub

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Valutazione

Difficoltà
3/5
Tempo stimato
1-2 giorni
Idoneità per principianti
35/100
Tipo di issue
Bug
Chiarezza
Da chiarire
Stato di attività
Ferma
Stack tecnologico
python
Ambito
machine-learning

Direzione di ricerca

Start by tracing the inference entry point that produces the displayed Inference Result and compare it with the raw model output shown in this issue. Check how the three labeled scores are parsed and propagated. Done means the reported Visual Quality, Text-to-Video Alignment, and Physical Consistency values are populated instead of None.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

[Raw Model Output]

multi-dimensional analysis: Let me analyze this video step by step according to the three dimensions:

Visual Quality Analysis:
Overall, Visual Quality is mid-range. There is decent sharpness and color reproduction, but occasional softness in distant areas and minor compression artifacts prevent a high-end look. The car fire and smoke are recognizable and convey the intended drama, though some frames show slight inconsistencies in lighting or edge detail. The fire extinguisher in its stand reads clearly, and the overlay text is readable, but overall texture and polish do not reach premium levels. No major distortions or artifacts dominate the sequence, keeping the visuals acceptable for the scenario.

Text-to-Video Alignment Analysis:
The video captures the core elements described in the prompt: flames bursting from the front of a burning car, thick smoke billowing upward, and a red fire extinguisher in a yellow stand that remains stationary. The scene composition and object placements align well with the prompt, and the textual overlays reinforce the message without introducing extraneous content. While there may be minor non-critical deviations in fine-grained motion details, the overall alignment between prompt and visuals is strong.

Physical Consistency (Common-sense):
Physical realism is adequate. Fire dynamics and smoke behavior are plausible, and the extinguisher’s placement relative to the car is sensible within the scene. However, a few micro-aspects (such as exact proportions, wind interaction with smoke, or the timing of smoke rise) show small deviations that prevent a higher score on physical realism. Overall, the scene maintains believable physical relationships among objects and events.

(1) visual quality – clarity, smoothness, artifacts: 3
(2) text-to-video alignment – fidelity to the prompt: 4
(3) physical/common-sense consistency – naturalness and physics plausibility: 3

====== Inference Result ======
Video Path: /home/work/wentao/wan22_ph/00b15ce63fd2a2925c0fd5a3d3a0044e.mp4
Visual Quality: None
Text-to-Video Alignment: None
Physical Consistency: None

Why are all three scores in the Inference Result showing as none?

Lingua principale
Python
Stelle
60
Fork
5
Nessuna PR unita negli ultimi 30g

Preparare l'ambiente

Questo progetto non fornisce container di sviluppo, Dockerfile né guida per i contributori, quindi l'ambiente è a tuo carico: parti dal suo README e consulta la nostra guida al primo contributo per i passaggi generali.

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

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