Classification Model UI Refactor (#20602)

* Add cutoff for object classification

* Add selector for classifiction model type

* Improve model selection view

* Clean up design of classification card

* Tweaks

* Adjust button colors

* Improvements to gradients and making face library consistent

* Add basic classification model wizard

* Use relative coordinates

* Properly get resolution

* Clean up exports

* Cleanup

* Cleanup

* Update to use pre-defined component for image shadow

* Refactor image grouping

* Clean up mobile

* Clean up decision logic

* Remove max check on classification objects

* Increase default number of faces shown

* Cleanup

* Improve mobile layout

* Clenaup

* Update vocabulary

* Fix layout

* Fix page

* Cleanup

* Choose last item for unknown objects

* Move explore button

* Cleanup grid

* Cleanup classification

* Cleanup grid

* Cleanup

* Set transparency

* Set unknown

* Don't filter all configs

* Check length

frigate/config/classification.py

@@ -69,7 +69,7 @@ class BirdClassificationConfig(FrigateBaseModel):
 
 
 class CustomClassificationStateCameraConfig(FrigateBaseModel):
-    crop: list[int, int, int, int] = Field(
+    crop: list[float, float, float, float] = Field(
         title="Crop of image frame on this camera to run classification on."
     )
 
@@ -197,7 +197,9 @@ class FaceRecognitionConfig(FrigateBaseModel):
         title="Min face recognitions for the sub label to be applied to the person object.",
     )
     save_attempts: int = Field(
-        default=100, ge=0, title="Number of face attempts to save in the train tab."
+        default=200,
+        ge=0,
+        title="Number of face attempts to save in the recent recognitions tab.",
     )
     blur_confidence_filter: bool = Field(
         default=True, title="Apply blur quality filter to face confidence."

frigate/data_processing/real_time/custom_classification.py

@@ -96,10 +96,10 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
 
         camera_config = self.model_config.state_config.cameras[camera]
         crop = [
-            camera_config.crop[0],
-            camera_config.crop[1],
-            camera_config.crop[2],
-            camera_config.crop[3],
+            camera_config.crop[0] * self.config.cameras[camera].detect.width,
+            camera_config.crop[1] * self.config.cameras[camera].detect.height,
+            camera_config.crop[2] * self.config.cameras[camera].detect.width,
+            camera_config.crop[3] * self.config.cameras[camera].detect.height,
         ]
         should_run = False