False positives (#6217)

* add false positive submission

* switch timeline events to x,y,w,h

* update docs

* fix type checks

* convert to upsert

* fix config test

frigate/detectors/detector_config.py

@@ -1,3 +1,4 @@
+import hashlib
 import logging
 from enum import Enum
 from typing import Dict, List, Optional, Tuple, Union, Literal
@@ -49,6 +50,7 @@ class ModelConfig(BaseModel):
     )
     _merged_labelmap: Optional[Dict[int, str]] = PrivateAttr()
     _colormap: Dict[int, Tuple[int, int, int]] = PrivateAttr()
+    _model_hash: str = PrivateAttr()
 
     @property
     def merged_labelmap(self) -> Dict[int, str]:
@@ -58,6 +60,10 @@ class ModelConfig(BaseModel):
     def colormap(self) -> Dict[int, Tuple[int, int, int]]:
         return self._colormap
 
+    @property
+    def model_hash(self) -> str:
+        return self._model_hash
+
     def __init__(self, **config):
         super().__init__(**config)
 
@@ -67,6 +73,13 @@ class ModelConfig(BaseModel):
         }
         self._colormap = {}
 
+    def compute_model_hash(self) -> None:
+        with open(self.path, "rb") as f:
+            file_hash = hashlib.md5()
+            while chunk := f.read(8192):
+                file_hash.update(chunk)
+        self._model_hash = file_hash.hexdigest()
+
     def create_colormap(self, enabled_labels: set[str]) -> None:
         """Get a list of colors for enabled labels."""
         cmap = plt.cm.get_cmap("tab10", len(enabled_labels))

frigate/detectors/plugins/cpu_tfl.py

@@ -27,7 +27,7 @@ class CpuTfl(DetectionApi):
 
     def __init__(self, detector_config: CpuDetectorConfig):
         self.interpreter = Interpreter(
-            model_path=detector_config.model.path or "/cpu_model.tflite",
+            model_path=detector_config.model.path,
             num_threads=detector_config.num_threads or 3,
         )
 

frigate/detectors/plugins/edgetpu_tfl.py

@@ -37,7 +37,7 @@ class EdgeTpuTfl(DetectionApi):
             edge_tpu_delegate = load_delegate("libedgetpu.so.1.0", device_config)
             logger.info("TPU found")
             self.interpreter = Interpreter(
-                model_path=detector_config.model.path or "/edgetpu_model.tflite",
+                model_path=detector_config.model.path,
                 experimental_delegates=[edge_tpu_delegate],
             )
         except ValueError: