perf: increase production keyframe step from 20 to 60

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

app.py

@@ -911,7 +911,7 @@ async def benchmark_endpoint(
     video: UploadFile = File(...),
     queries: str = Form("person,car,truck"),
     segmenter: str = Form("gsam2_large"),
-    step: int = Form(20),
+    step: int = Form(60),
     num_maskmem: Optional[int] = Form(None),
 ):
     """Run instrumented GSAM2 pipeline and return latency breakdown JSON.
@@ -1040,7 +1040,7 @@ async def benchmark_profile(
     queries: str = Form("person,car,truck"),
     max_frames: int = Form(100),
     warmup_frames: int = Form(5),
-    step: int = Form(20),
+    step: int = Form(60),
     num_maskmem: Optional[int] = Form(None),
 ):
     """Run profiled inference and return per-frame timing breakdown.
@@ -1106,7 +1106,7 @@ async def benchmark_analysis(
     queries: str = Form("person,car,truck"),
     max_frames: int = Form(100),
     warmup_frames: int = Form(5),
-    step: int = Form(20),
+    step: int = Form(60),
     num_maskmem: Optional[int] = Form(None),
 ):
     """Full roofline analysis: hardware + profiling + theoretical ceilings + bottleneck ID.

jobs/background.py

@@ -36,7 +36,7 @@ async def process_video_async(job_id: str) -> None:
                 segmenter_name=job.segmenter_name,
                 job_id=job_id,
                 stream_queue=stream_queue,
-                step=20,
+                step=60,
                 enable_gpt=job.enable_gpt,
                 mission_spec=job.mission_spec,
                 first_frame_gpt_results=job.first_frame_gpt_results,

utils/profiler.py

@@ -327,7 +327,7 @@ def run_profiled_segmentation(
     segmenter_name: str,
     queries: List[str],
     max_frames: int = 100,
-    step: int = 20,
+    step: int = 60,
     num_maskmem: Optional[int] = None,
 ) -> ProfilingResult:
     """Run profiled segmentation (GSAM2) on a video file.