v1.0.6

Model call reliability and stricter risk judging.

Fixed

Model requests no longer stall and abort with "빈 응답" on low-spec PCs.
Requests now run plain-first (no structured format), which avoids the
schema-validation token overhead that exhausted num_predict and produced
empty 200 responses. The structured schema remains as the final fallback,
and the unlimited-token-budget retry was removed.
Analysis no longer aborts after repeated failures when a timeout is the
cause; timeouts are retried once and excluded from the abort threshold.

Risk judging is now more sensitive. The judge prompt instructs the model to
choose the higher risk level when in doubt, to count small or distant plants
aligned with the corridor, and to request human review for blurred or
partially visible frames. Motion blur was added to the medium-risk
uncertainty conditions.
Reports cover frames rated 주의 (medium) or higher; 관찰 (low) frames stay
in observations.json only.

Bundled Ollama and FFmpeg runtimes; no separate Ollama installation is required.
In-app vision model download, hardware recommendation, installation, and selection.
Model-specific prompt harnesses for supported Qwen3-VL and Gemma 4 variants.