about Inference Result?

inference log is as follows，How to analyze result?

[Raw Model Output]
Let me analyze this video carefully across the three dimensions:

Visual Quality Analysis:

• The overall visual quality is moderate, with occasional mild blur and some artifacts that reduce sharpness.
• Some frames show inconsistent focus and minor motion blur; the later frames are clearer but not perfect.
• Lighting and contrast are acceptable, though there are no extreme distortions.

Text-to-Video Alignment:

• The sequence captures the core idea of heavy rain affecting a city street and the perspective from inside a car on a wet surface.
• The urban setting remains consistent throughout, with rain and a vehicle observed driving away in most frames. The perspective shifts forward with the road and scene elements remaining relatively stable.

Physical Consistency:

• The scene maintains plausible physics and environmental interactions; the car integration with the rainy urban surroundings appears coherent and natural across frames.

Overall Assessment:

• The video presents a coherent depiction of the scene with rain and a moving vehicle perspective, aligning with the prompt's intent. The visual quality supports the narrative and the driving scenario is generally convincing.

Scores summary:

• Visual quality: 3/5; Text-to-video alignment: 3/5
• Physical consistency: 3/5

====== Inference Result ======
Video Path: 00000001_718300551936000.mp4
Visual Quality: None
Text-to-Video Alignment: None
Physical Consistency: None

The report shows an inference log for 00000001_718300551936000.mp4, but the final Visual Quality, Text-to-Video Alignment, and Physical Consistency fields are None. Start by reproducing inference for that video path and tracing how these result fields are populated. Done means the fields contain the expected scores or the reason for missing results is documented.