add altitude + camera spec component and calc tile size by this

also restrict detections to be no bigger than in classes.json

Azaion.Inference/ai_config.pyx

@@ -15,7 +15,10 @@ cdef class AIRecognitionConfig:
                  model_batch_size,
 
                  big_image_tile_overlap_percent,
-                 tile_size
+
+                 altitude,
+                 focal_length,
+                 sensor_width
                  ):
         self.frame_period_recognition = frame_period_recognition
         self.frame_recognition_seconds = frame_recognition_seconds
@@ -30,7 +33,10 @@ cdef class AIRecognitionConfig:
         self.model_batch_size = model_batch_size
 
         self.big_image_tile_overlap_percent = big_image_tile_overlap_percent
-        self.tile_size = tile_size
+
+        self.altitude = altitude
+        self.focal_length = focal_length
+        self.sensor_width = sensor_width
 
     def __str__(self):
         return (f'frame_seconds : {self.frame_recognition_seconds}, distance_confidence : {self.tracking_distance_confidence}, '
@@ -39,7 +45,11 @@ cdef class AIRecognitionConfig:
                 f'frame_period_recognition : {self.frame_period_recognition}, '
                 f'big_image_tile_overlap_percent: {self.big_image_tile_overlap_percent}, '
                 f'paths: {self.paths}, '
-                f'model_batch_size: {self.model_batch_size}')
+                f'model_batch_size: {self.model_batch_size}, '
+                f'altitude: {self.altitude}, '
+                f'focal_length: {self.focal_length}, '
+                f'sensor_width: {self.sensor_width}'
+                )
 
     @staticmethod
     cdef from_msgpack(bytes data):
@@ -58,5 +68,8 @@ cdef class AIRecognitionConfig:
             unpacked.get("m_bs"),
 
             unpacked.get("ov_p", 20),
-            unpacked.get("tile_size", 550),
+
+            unpacked.get("cam_a", 400),
+            unpacked.get("cam_fl", 24),
+            unpacked.get("cam_sw", 23.5)
         )