v1.0.8

Suspicion recall patch: single-frame detections now surface as events.

Fixed

Suspicious vegetation events were never generated ("의심 수목 0건") even
when the model flagged frames. Three chained gates silently dropped
detections and are now relaxed:
- The event minimum duration equaled the sampling interval (15s at the
  default), so any single-frame detection was discarded. The batch
  pipeline now uses a 2s minimum, so one suspicious frame becomes an
  event.
- A frame only counted as risky when has_tree or near_catenary was
  also true. Small models fill these auxiliary flags inconsistently, so
  risk_level alone now qualifies a frame.
- Events were built only from frames that had saved a capture, coupling
  event generation to the report-risk filter. Events are now built from
  all risky observations.
Gemma-style contradictory answers (has_tree: true with
risk_level: "none") are promoted to low risk instead of being discarded,
so visible trackside trees always surface as suspicions.
Low-confidence frames (bamboo_likely < 0.6 or missing evidence) are
forced to needs_human_review=true even when the model answers false,
keeping single-frame groups eligible for events.

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.