286c26e33d
Video analyzer now uses Farneback dense optical flow to classify each scene as motion_clip, animated_still, or static_image. This lets the agent correctly identify whether a reference video uses AI-generated video clips vs still images with pan/zoom — and plan the right pipeline. Changes: - video_analyzer.py: new Step 3b with _classify_scene_motion() and _read_frame_at() helpers; updated _needs_motion() to use per-scene motion data instead of pacing heuristic alone - video-reference-analyst.md: added Motion line to summary template and instructions to read motion_type field before proposing tools |
||
|---|---|---|
| .. | ||
| analysis | ||
| audio | ||
| avatar | ||
| enhancement | ||
| graphics | ||
| publishers | ||
| subtitle | ||
| video | ||
| __init__.py | ||
| base_tool.py | ||
| cost_tracker.py | ||
| tool_registry.py | ||