a

core/detect/graph/nodes.py

@@ -98,6 +98,15 @@ def node_extract_frames(state: DetectState) -> dict:
         frames = extract_frames(state["video_path"], config, job_id=job_id)
         span.set_output({"frames_extracted": len(frames)})
 
+    # Cache frames on the timeline for reuse across jobs and UI
+    timeline_id = state.get("timeline_id")
+    if timeline_id:
+        from core.detect.checkpoint.frames import cache_frames, cache_exists
+        if not cache_exists(timeline_id):
+            cache_frames(timeline_id, frames)
+            from core.detect.checkpoint.storage import update_timeline_status
+            update_timeline_status(timeline_id, "cached", frame_count=len(frames))
+
     _emit(state, "extract_frames", "done")
     return {"frames": frames, "stats": PipelineStats(frames_extracted=len(frames))}