save all localy

pyroengine/engine.py

@@ -48,6 +48,7 @@ class Engine:
         frame_saving_period: Send one frame over N to the api for our dataset
         cache_size: maximum number of alerts to save in cache
         day_time_strategy: strategy to define if it's daytime
+        save_captured_frames: save all captured frames for debugging
         kwargs: keyword args of Classifier
 
     Examples:
@@ -76,6 +77,7 @@ def __init__(
         backup_size: int = 30,
         jpeg_quality: int = 80,
         day_time_strategy: Optional[str] = None,
+        save_captured_frames: Optional[bool] = False,
         **kwargs: Any,
     ) -> None:
         """Init engine"""
@@ -102,6 +104,7 @@ def __init__(
         self.jpeg_quality = jpeg_quality
         self.cache_backup_period = cache_backup_period
         self.day_time_strategy = day_time_strategy
+        self.save_captured_frames = save_captured_frames
 
         # Local backup
         self._backup_size = backup_size
@@ -282,6 +285,9 @@ def predict(self, frame: Image.Image, cam_id: Optional[str] = None) -> float:
             self._dump_cache()
             self.last_cache_dump = ts
 
+        if self.save_captured_frames:
+            self._local_backup(frame_resize, cam_id, is_alert=False)
+
         return float(conf)
 
     def _stage_alert(self, frame: Image.Image, cam_id: str, ts: int, localization: list) -> None:
@@ -341,14 +347,16 @@ def _process_alerts(self) -> None:
                 logging.warning(e)
                 break
 
-    def _local_backup(self, img: Image.Image, cam_id: str) -> None:
+    def _local_backup(self, img: Image.Image, cam_id: Optional[str], is_alert: bool = True) -> None:
         """Save image on device
 
         Args:
             img (Image.Image): Image to save
             cam_id (str): camera id (ip address)
+            is_alert (bool): is the frame an alert ?
         """
-        backup_cache = self._cache.joinpath("backup/alerts/")
+        folder = "alerts" if is_alert else "save"
+        backup_cache = self._cache.joinpath(f"backup/{folder}/")
         self._clean_local_backup(backup_cache)  # Dump old cache
         backup_cache = backup_cache.joinpath(f"{time.strftime('%Y%m%d')}/{cam_id}")
         backup_cache.mkdir(parents=True, exist_ok=True)

src/run.py

@@ -72,6 +72,7 @@ def main(args):
         cache_size=args.cache_size,
         jpeg_quality=args.jpeg_quality,
         day_time_strategy=args.day_time_strategy,
+        save_captured_frames=args.save_captured_frames,
     )
 
     sys_controller = SystemController(
@@ -117,6 +118,7 @@ def main(args):
     parser.add_argument("--protocol", type=str, default="https", help="Camera protocol")
     # Backup
     parser.add_argument("--backup-size", type=int, default=10000, help="Local backup can't be bigger than 10Go")
+    parser.add_argument("--save_captured_frames", type=bool, default=False, help="Save all captured frames locally")
 
     # Time config
     parser.add_argument("--period", type=int, default=30, help="Number of seconds between each camera stream analysis")

tests/test_engine.py

@@ -44,7 +44,7 @@ def test_engine_offline(tmpdir_factory, mock_wildfire_image, mock_forest_image):
     engine.clear_cache()
 
     # inference
-    engine = Engine(nb_consecutive_frames=4, cache_folder=folder)
+    engine = Engine(nb_consecutive_frames=4, cache_folder=folder, save_captured_frames=True)
     out = engine.predict(mock_forest_image)
     assert isinstance(out, float) and 0 <= out <= 1
     assert len(engine._states["-1"]["last_predictions"]) == 1