Try to make it work in Jetson Orin Nano

src/chicken_counter/batch_runner.py

@@ -14,7 +14,7 @@ from chicken_counter.tracking import DetectionTracker
 from chicken_counter.types import CameraBatchResult
 
 
-def run_daily_batch(settings: BatchSettings, date: str | None = None) -> Path:
+def run_daily_batch(settings: BatchSettings, date: str | None = None, *, verbose: bool = False, no_video: bool = False, show_progress: bool = False) -> Path:
     run_date = date or date_type.today().isoformat()
     day_dir = Path(settings.batch.root_dir) / run_date
     output_dir = day_dir / settings.batch.output_subdir
@@ -23,6 +23,8 @@ def run_daily_batch(settings: BatchSettings, date: str | None = None) -> Path:
     print(f"[batch] starting daily run for {run_date}")
     print(f"[batch] input folder: {day_dir}")
     print(f"[batch] output folder: {output_dir}")
+    if no_video:
+        print("[batch] --no-video: skipping video output, overlay, and compression")
 
     discovery = discover_camera_videos(day_dir, settings)
     camera_order = sorted(settings.cameras.items(), key=lambda item: item[1].camera_num)
@@ -31,11 +33,12 @@ def run_daily_batch(settings: BatchSettings, date: str | None = None) -> Path:
         camera_id for camera_id, _preset in camera_order if camera_id in discovery.found
     )
     first_source = discovery.found[first_camera_id]
+    init_output_path = output_dir / f"{first_camera_id}_vis.mp4" if not no_video else None
     init_config = build_camera_config_from_batch(
         settings,
         first_camera_id,
         source=first_source,
-        output_path=output_dir / f"{first_camera_id}_vis.mp4",
+        output_path=init_output_path,
         checkpoint_dir=output_dir / "checkpoints" / first_camera_id,
     )
     shared_tracker = DetectionTracker(init_config)
@@ -58,7 +61,7 @@ def run_daily_batch(settings: BatchSettings, date: str | None = None) -> Path:
             continue
 
         source_path = discovery.found[camera_id]
-        vis_path = output_dir / f"{camera_id}_vis.mp4"
+        vis_path = output_dir / f"{camera_id}_vis.mp4" if not no_video else None
         checkpoint_dir = output_dir / "checkpoints" / camera_id
 
         print(f"[batch] processing {camera_id} from {source_path.name}")
@@ -69,7 +72,8 @@ def run_daily_batch(settings: BatchSettings, date: str | None = None) -> Path:
             output_path=vis_path,
             checkpoint_dir=checkpoint_dir,
         )
-        pipeline_result = run_pipeline(camera_config, tracker=shared_tracker)
+        camera_config.performance.verbose = verbose
+        pipeline_result = run_pipeline(camera_config, tracker=shared_tracker, show_progress=show_progress)
         camera_results.append(
             CameraBatchResult(
                 camera_id=camera_id,
@@ -82,6 +86,14 @@ def run_daily_batch(settings: BatchSettings, date: str | None = None) -> Path:
         )
         persist_batch_reports(run_date, camera_results, output_dir)
 
+    if no_video:
+        report = build_batch_report(run_date, camera_results, output_dir=output_dir)
+        print(
+            f"[batch] complete for {run_date}: total_entered_sum={report.total_entered_sum} "
+            f"report={report_path}"
+        )
+        return report_path
+
     print("[batch] all cameras complete; starting compression")
     for item in camera_results:
         if item.skipped or item.pipeline is None: